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Review

The Genetics of Fitness Reorganization during the Transition to Multicellularity: The Volvocine regA-like Family as a Model

by
Zachariah I. Grochau-Wright
1,*,
Aurora M. Nedelcu
2 and
Richard E. Michod
3
1
Department of Biology, The College of New Jersey, Ewing, NJ 08628, USA
2
Biology Department, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
3
Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA
*
Author to whom correspondence should be addressed.
Genes 2023, 14(4), 941; https://doi.org/10.3390/genes14040941
Submission received: 17 February 2023 / Revised: 6 April 2023 / Accepted: 13 April 2023 / Published: 19 April 2023
(This article belongs to the Special Issue The Genetics and Evolution of Multicellularity)

Abstract

:
The evolutionary transition from single-celled to multicellular individuality requires organismal fitness to shift from the cell level to a cell group. This reorganization of fitness occurs by re-allocating the two components of fitness, survival and reproduction, between two specialized cell types in the multicellular group: soma and germ, respectively. How does the genetic basis for such fitness reorganization evolve? One possible mechanism is the co-option of life history genes present in the unicellular ancestors of a multicellular lineage. For instance, single-celled organisms must regulate their investment in survival and reproduction in response to environmental changes, particularly decreasing reproduction to ensure survival under stress. Such stress response life history genes can provide the genetic basis for the evolution of cellular differentiation in multicellular lineages. The regA-like gene family in the volvocine green algal lineage provides an excellent model system to study how this co-option can occur. We discuss the origin and evolution of the volvocine regA-like gene family, including regA—the gene that controls somatic cell development in the model organism Volvox carteri. We hypothesize that the co-option of life history trade-off genes is a general mechanism involved in the transition to multicellular individuality, making volvocine algae and the regA-like family a useful template for similar investigations in other lineages.

1. Introduction

The evolution of multicellularity is the premier example of an evolutionary transition in individuality, which involves the integration of lower-level individuals (cells, in this case) into a new kind of higher-level individual (a multicellular organism). Other examples of evolutionary transitions in individuality are the integration of networks of cooperating genes into the genome of the first cell, the origin of eukaryotic cells, and the evolution of eusocial insect societies [1,2,3]. As an evolutionary transition in individuality, the evolution of multicellularity is especially interesting because it occurred repeatedly throughout the tree of life (in both prokaryotes and eukaryotes) and at vastly different points in the history of life [4,5]. Multicellular phenotypes can be either stable/obligate or facultative (i.e., in response to environmental cues, as a part of the life cycle) and involve clonal (e.g., in animals, plants, algae, or fungi) or non-clonal (e.g., in social amoebae or myxobacteria) groups, with or without cell specialization [5,6]. Multicellularity can also evolve in the lab and can be studied using experimental evolution [7,8,9,10,11].
For billions of years, life on Earth was composed of solely single-celled individuals. At different points in the history of life, cells formed groups, and these cell-groups evolved into stable, integrated multicellular individuals with heritable variation in fitness at the level of cell-groups. However, how groups of cells evolve into a new kind of individual is not well understood. We have previously proposed that the transition of a group of cells into a multicellular individual requires the reorganization of fitness from being a property of single cells to being a property of the multicellular group [12,13].
To envision the reorganization of fitness during the transition to multicellular individuality we need to consider the general properties of fitness, its components, and how these fitness components are trade-offs for one another. The fitness of any evolutionary individual involves two basic components: reproduction and survival. High overall fitness requires a balance between these components; in the simplest mathematical model, fitness is taken as the product of survival and reproduction (for example, [14]). Nevertheless, survival and reproduction are often traded off for one another, especially in limiting conditions, such that investment in one fitness component tends to detract from the other.
During the transition from unicellular to multicellular individuals, the activities associated with reproduction and survival, initially expressed in a way that enhances the fitness of individual cells, become reorganized among the cells of the multicellular group. Ultimately, cells differentially express one or the other component (i.e., cells become specialized) to increase the fitness of the new multicellular individual. This division of labor between cells in the multicellular group reorganizes the two fitness components, reproduction and survival, from the cell level to the group level. Once the fitness components are compartmentalized between cells specialized in reproduction (germ) and survival (soma), the multicellular group becomes a multicellular individual; that is, it is indivisible in the sense that the specialized cells lose their own individuality and can no longer both survive and reproduce outside of the context of the group [12,14,15].
How can fitness become reorganized during an evolutionary transition in individuality? In particular, what is the genetic basis underlying the reorganization of fitness resulting in cell specialization in fitness components during the evolution of multicellularity? Understanding the relative contribution of the two fitness components throughout the life of all individuals can provide a mechanistic framework. Many life history traits control resource contributions to survival and reproduction (or to distinct aspects of survival and reproduction, e.g., growth vs. maintenance or number vs. quality of offspring) as the individual proceeds through its life cycle. Furthermore, in times of stress, or when resources are limited, overall fitness is compromised, and individuals must commit to survival and delay reproduction until conditions improve. All organisms must possess genes that decrease reproduction in times of stress to ensure survival. Genes that control investment in fitness components in times of stress are examples of life history genes. Our hypothesis is that genes that turn off reproduction in times of stress in unicellular organisms were co-opted during the evolution of multicellularity to produce non-reproductive somatic cells in cell groups [16,17].
Consistent with our hypothesis, current evidence indicates that de novo gene evolution and gene family expansion played a minor role in the evolution of multicellularity and cellular differentiation in both the animal and green algal/plant lineages. Specifically, many genes that are involved in traits associated with multicellularity (and that were initially thought to have evolved during the evolution of multicellularity) did in fact evolve from genes present in their unicellular ancestors, wherein they played roles associated with the unicellular lifestyle. Thus, gene co-option (often involving gene duplication followed by diversification) appears to have been a major contributor to the evolution of cellular differentiation [18,19]. Such a scenario can be especially envisioned for the evolution of soma and germ, the two components that embody the full transition to multicellular individuality.
Studying such gene co-option events are challenging in many multicellular lineages due to the ancient origin of multicellularity and lack of closely related unicellular and simple multicellular relatives. For example, metazoans evolved multicellularity 574–852 million years ago [20], and lineages resembling transitionary ancestors are not known. However, a group of green algae in the order of Volvocales provides an ideal model system for studying the transition from unicellular to differentiated multicellularity. This group—known as the volvocine algae—evolved multicellularity relatively recently (~240 million years ago) and contains extant relatives that span a range of complexities from unicellularity, to undifferentiated multicellularity, to differentiated multicellularity [21,22,23] (Figure 1). Furthermore, consistent with our hypothesis, the evolution of somatic cell differentiation in this lineage involved the co-option of a stress-induced life history gene that belongs to the regA-like gene family [12,17,24], which is the subject of this review. As this gene family is specific to volvocine green algae and not found in other lineages, our hope is that the research reviewed here may stimulate efforts to identify similar genes in other lineages. We predict that such work would reveal additional examples of life history genes that have been co-opted for fitness reorganization and the evolution of soma during the transition to multicellular individuality in other groups.

2. The Volvocine Model System

The volvocine lineage is a group of freshwater haploid bi-flagellated chlorophyte green algae that reproduce asexually in optimal environments but can undergo rounds of sexual reproduction under stressful conditions [26]. This group has been developed as a model system for the evolution of multicellularity and cellular differentiation because its species span a range of morphological and developmental traits from single-celled organisms (e.g., Chlamydomonas), to multicellular forms without cell specialization (e.g., Gonium and Eudorina), to multicellular organisms with complex embryonic development and germ–soma differentiation (i.e., Volvox) [23,27,28] (Figure 1).
The multicellular volvocine species are included in three families: Tetrabaenaceae, Goniaceae, and Volvocaceae. In addition, within the Volvocaceae family, two sub-clades have been defined: the “Eudorina Group” and the Euvolvox (or section Volvox) [29] (Figure 2). The Tetrabaenaceae family contains two species, Tetrabaena socialis and Basichlamys sacculifera. These are the simplest multicellular volvocine algae with four Chlamydomonas-like cells arranged like a four-leaf clover [30,31]. The polyphyletic Goniaceae family includes several species in two genera, Gonium and Astrephomene. The Gonium species have 8–16 Chlamydomonas-like cells arranged as flat plates, whereas the Astrephomene species are 32- or 64-celled spheroidal colonies with 2 to 4 sterile somatic cells in the posterior of the colony [26,32,33]. The Volvocaceae is the largest and most diverse family of volvocine green algae with many polyphyletic genera. Algae in the genera Eudorina, Pandorina, Volvulina, Yamagishiella, and Colemanosphaera all have spheroidal body plans with between 16 and 64 cells (cell numbers vary between genera) with no germ–soma cellular differentiation under standard growth conditions. Species in the Pleodorina genus have 32 to 128 cells with specialized somatic cells in the anterior portion of the colony, except for one species, Pleodorina sphaerica, that has somatic cells distributed in both the anterior and posterior of the colony [26,34]. Finally, species in the genus Volvox are the largest and most complex members of the Volvocaceae, with several hundred to several thousand cells and two distinct cell types, specialized germ and specialized soma [26].
Multicellular volvocine algae evolved from unicellular ancestors related to species in the Chlamydomonas and Vitreochlamys genera. Historically, analyses based on single or small sets of genes have indicated that multicellularity has arisen only once in the volvocine green algae clade [22]. However, a recent phylotranscriptomic analysis that more than quadrupled the number of single-copy nuclear genes used for phylogenetic reconstruction suggests that (i) multicellularity possibly evolved twice in this group, and (ii) the Goniaceae family is not monophyletic [35]. While this conclusion requires additional confirmation, we adopt this new phylogenetic hypothesis as the evolutionary framework for this review. The current tree topology (Figure 2) also implies that cellular differentiation independently evolved four to six times in volvocine green algae, which is consistent with past analyses [25,27].
The species V. carteri forma nagariensis has served as the primary model organism for studying the developmental and genetic mechanisms that underlie cellular differentiation [23,36,37]. An asexual V. carteri individual contains 1000–2000 small Chlamydomonas-like flagellated somatic cells and up to 16 large unflagellated germ cells known as gonidia (Figure 1). The somatic cells are terminally differentiated and have no cell division potential. The lack of cell division ensures that the motility of the individual is maintained because flagellar activity is compromised during cell division in volvocine algae due to the so-called “flagellation constraint” and the presence of a rigid cell wall [38]. Juvenile V. carteri develop from gonidia, which grow to up to ~1000 times the volume of somatic cells before they start dividing. The development of a juvenile V. carteri begins with a series of 5 symmetric divisions resulting in a 32-celled embryo. Then, during the sixth division cycle, the sixteen cells in the anterior of the embryo divide asymmetrically with one daughter cell inheriting a larger volume of cytoplasm than the other. These large cells go through 2 additional asymmetric divisions and then cease dividing, while all other cells go through a series of 11 to 12 symmetric divisions. At the end of cleavage, the embryo contains ~2000 cells, most of which are small soma initial cells, except the 16 large germ cell initials generated through asymmetric division. At this stage, the embryo is effectively inside-out relative to the adult organization, with the flagella of the somatic cells pointing inward. To gain the adult configuration, the embryo goes through an inversion process.
Cytodifferentiation occurs just after inversion; all cells of <8 µm terminally differentiate into somatic cells, while larger cells become germ cells [37]. Cell size has been shown to be sufficient for determining cell fate in V. carteri [39], though this is not the case in all Volvox species [40,41,42,43]. In V. carteri, a gene known as regA is turned on in small cells, which results in the suppression of germ cell development and the differentiation of somatic cells. On the other hand, a set of lag genes are thought to be specifically induced in large cells, which suppresses somatic cell development and initiates the differentiation of germ cells [37]. Currently, the presence of lag genes has only been established through mutant phenotypes and linkage mapping, while the actual genes themselves are unknown. Several other developmental genes (involved in asymmetric cell divisions and inversion) have been identified in V. carteri [37] but are beyond the scope of this review. Herein, we focus on regA and its family as major players in fitness reorganization between soma (survival) and germ (reproduction). Below, we first describe the main characteristics of the regA gene in V. carteri and then expand our discussion of the broader VARL gene family.

3. regA Gene Structure and Function

Early investigations into cellular differentiation in V. carteri identified a class of mutants called “somatic regenerators” in which somatic cells appear to first develop normally but then dedifferentiate and become reproductive [44,45] (Figure 1f). Linkage analysis found that all such regenerator mutants map onto a single locus which was named regA (from “regenerator”) [36,46,47]. Huskey & Griffin [47] originally described a second regB locus based on linkage group analysis of regenerator mutants, but reexamination of regB mutants by members of the same research lab determined that they are not regenerator mutants and have a different mutant phenotype [48]. Thus, in retrospect, all regenerator mutants can be mapped onto the regA locus [36]. However, it is worth noting that the annotation “RegA” or “Reg genes” has been used multiple times independently in species from other groups (e.g., bacteria and animals) to refer to different genes coding for distinct unrelated proteins. Such similarities in name are due to historical and linguistic coincidence rather than any shared function or homology. In this review, we are strictly discussing the regA gene and its gene family that is restricted to volvocine algae.
Based on the link between somatic regeneration and the regA locus, the regA gene was deemed the master regulatory gene that controls somatic cell development in V. carteri [36,37,49]. Kirk et al. [49] used transposon tagging to identify the regA gene and went on to determine that the RegA protein is localized in the nuclei of somatic cells. In V. carteri f. nagariensis, regA is expressed exclusively in somatic progenitor cells, with its transcription beginning early in development shortly after inversion [49,50,51,52]. regA transcript levels appear to persist and fluctuate throughout the life cycle [49], but see the study by König and Nedelcu [24] for an alternative possibility and discussion.
The functional role of RegA, its amino acid composition, and the presence of a DNA-binding SAND domain in the RegA protein [53] helped establish the current working model in which RegA acts as a transcriptional repressor of genes needed for gonidial development [37]. A long-standing hypothesis is that regA suppresses the expression of nuclear-encoded chloroplast proteins required for chloroplast biogenesis and turn-over [54,55,56]. These negative effects on the chloroplasts would be reflected in the inability of the somatic cells to photosynthesize, grow, and divide. However, Matt and Umen [52] cast some doubt on this idea. They used whole transcriptome analysis to compare the expression profiles of germ cells and somatic cells. While photosynthetic genes were expressed at around two-fold higher levels in germ cells, photosynthetic genes were nevertheless highly abundant in somatic cells as well. Matt and Umen [52] propose that both germ cells and somatic cells maintain active photosynthesis, but germ cells are specialized in anabolic processes such as starch, fatty acid, and amino acid biosynthesis, while somatic cells break down starch and lipids to provide the substrates needed to synthesize ECM glycoproteins. Therefore, while it remains plausible that regA downregulates photosynthetic genes, it is also possible that regA downregulates other genes related to germ cell growth such as starch synthesis.
The structure of the regA gene has been well described for V. carteri and serves as the basic template for the gene structures of many other homologs of regA in the VARL (volvocine algae regA-like) gene family. The minimal promoter of regA consists of only 42 nt found directly upstream of the transcription start site with a plausible TATA box with the sequence TAATTGA beginning at −28 and an initiator region with the sequence CACTCAT beginning -1 relative to the transcription start site [57]. The transcriptional unit of regA is 12,477 nt long and contains 7 introns and 8 exons. After the introns are spliced out, the mature regA mRNA is 6725 nt long and consists of a 940 nt 5′UTR (exons 1–5), a 3147 nt coding region (exons 5–8), and a 2638 nt 3′UTR with a UGUAA polyadenylation signal [49] (Figure 3).
However, a splice variant that retains intron 7 (1194 bp) is expressed at low levels in V. carteri f. nagariensis as well. The donor splice site of intron 7 is GC instead of the typical GU, which may explain the variation in splicing. Remarkably, intron 7 encodes an ORF in the same frame as the rest of the regA coding region and, therefore, is likely to be translated, resulting in two different RegA protein products. However, experiments using modified regA transformation constructs to alter the splicing and translation of intron 7 have demonstrated that the presence or absence of intron 7 splicing has no detectable effect on the phenotypic rescue of regenerator mutants, despite the retention of intron 7 adding nearly 400 more amino acid residues to the RegA protein [57]. Interestingly, the homologous region to intron 7 is not spliced out in the closely related V. carteri f. kawasakiensis, and protein-level homology has been described in the intron 7 region across a wide variety of volvocine algae species [25,53]. Thus, it appears likely that splicing out intron 7 is a quirk specific to V. carteri f. nagariensis, while homologous regions are exonic in other species.
In addition to the promoter, the differential transcription of regA is regulated by two enhancers found in introns 3 and 5 and a silencer found in intron 7 [57]. Eight possible AUG start codons are found in the 5′UTR of mature regA mRNA and are thought to be bypassed via a ribosome shunting mechanism so that translation begins at the ninth AUG sequence of the mRNA [58].
Following translation, the predicted RegA protein is 1049-amino-acids-long without the inclusion of intron 7 or 1447 with intron 7 and contains a high proportion of glutamine, alanine, and proline residues [49,57]. A key structural region within the RegA protein is the VARL domain, which is the distinguishing feature of the VARL gene family [53,59] (Figure 4). The VARL domain is located between amino acids 444 and 558 in the RegA of V. carteri f. nagariensis and is composed of a highly conserved core VARL region (sites 484–558), a short but highly conserved N-terminal extension region (sites 444–455), and a less conserved linker region between these two [25,53,59]. In addition, two short motifs of high amino acid conservation have been identified that are shared across the predicted RegA proteins of numerous volvocine algae species: a “LALRP” motif upstream of the VARL domain and an “FLQ” motif found within the intron 7 region downstream of the VARL domain [25] (Figure 5).
The core VARL domain appears to encode a DNA-binding SAND domain [53]. The SAND domain (IPR000770/PF01342)—named after Sp100, AIRE-1, NucP41/75, and DEAF-1—is a DNA-binding domain found in animal and plant proteins that function in chromatin-dependent transcriptional control or bind-specific DNA sequences (e.g., [60]). SAND-containing proteins are involved in multiple distinct processes, both general and lineage/tissue-specific. However, most of the SAND-containing proteins with known functions are involved in multicellular development, including cell differentiation, cell proliferation, tissue homeostasis, and organ formation. For instance, DEAF-1 (Deformed Epidermal Autoregulatory Factor-1) is involved in breast epithelial cell differentiation in mammals [61] and is necessary for embryonic development in Drosophila melanogaster [62]. GMEB (Glucocorticoid Modulatory Element Binding) regulates neural apoptosis in the nematode Caenorhabditis elegans [63]. Spe44 (Speckled protein 44 kDa) is a master switch for germ cell fate in C. elegans and, like the mammalian AIRE1 (Autoimmune Regulator 1), plays a role in sperm cell differentiation [64,65,66]. In land plants, SAND domains are associated with ATX (the Arabidopsis homolog of trithorax) and ULTRAPETALA (ULT) proteins, which are involved in cell proliferation, cell differentiation, and tissue patterning. Specifically, ATX1 in Arabidopsis thaliana is required for root, leaf, and floral development through its histone methyltransferase activity [67], and ULT is a negative regulator that influences shoot and floral meristem size by controlling cell accumulation [68,69,70].

4. Evolution of the VARL Gene Family

The VARL gene family is defined by the presence of a homologous VARL domain within the predicted protein (note that volvocine algae possess additional SAND-containing proteins outside the VARL family; see next section and Figure 6). Although all VARL genes contain the VARL domain, the sequence level conservation outside of the VARL domain is very low. Thus, entire gene sequences cannot be aligned and used for phylogenetic analyses. The VARL domain itself is very short (~86 amino acids) and not highly conserved, such that its utility for inferring evolutionary relationships between the members of the VARL gene family is also limited. Nevertheless, information from gene synteny, sequence signatures outside of the VARL domain, and the locations of conserved introns can help draw more robust conclusions regarding the evolution of the VARL family. We summarize the available data below but direct readers to the study by Grochau-Wright et al. [25] (in particular, Supplementary Table S3 of [25]) for more detailed information.
Based on currently available whole genome sequence data, the VARL gene family contains 12 members in C. reinhardtii [59], 8 in G. pectorale [32] and T. socialis [72], 6 in A. gubernaculifera [33], and 14 in V. carteri [59]. With the exception of regA orthologs (when present), all other regA homologs are known as regA-like sequences, annotated as RLS1-12 in Chlamydomonas and Goniaceae or rlsA-O in Volvocaceae.
To date, regA orthologs have been found in every member of the Volvocaceae family that has been investigated (including species without somatic cells) but appear to be absent in volvocine species outside of the Volvocaceae [25,32,33,41,59,72,73]. In all species with a regA ortholog for which a complete genome sequence is available, the gene is found in a syntenic gene cluster of 4–5 paralogs of closely related VARL genes called the regA cluster (Figure 2 and Figure 5). The first gene in the regA gene cluster is the rlsA gene, which has a unique highly conserved ~forty-amino-acid protein motif upstream of the VARL domain called “Pandorina’s Box” and a second short, conserved motif, named the “PRL” motif after its conserved sequence, downstream of the VARL domain [25] (Figure 5). Downstream of rlsA is regA followed by rlsB. Then, some species (i.e., P. morum, P. caudata, and Y. unicocca) have an additional paralog called rlsO. It appears that rlsO is found only in species outside of the “Eudorina-group” of the Volvocaceae, but further investigation is needed to confirm this hypothesis. These three regA cluster genes (regA, rlsB, and rlsO) all contain two short, conserved regions called the “LALRP” and “FLQ” motifs found upstream and downstream of the VARL domain, respectively. However, instead of rlsO, V. ferrisii has a different gene in the same location called rlsN, which is unique among all VARL genes because it has two VARL domains instead of one [73]. The relationship between rlsO and rlsN is not clear, though it seems plausible that rlsO underwent a domain duplication event to give rise to rlsN in V. ferrisii. Finally, the last VARL gene in the regA cluster is rlsC, whose orthologs do not appear to share any strongly conserved regions outside the VARL domain [25].
C. reinhardtii and other volvocine algae outside the Volvocaceae lack orthologs of any of the regA cluster genes. The closest homolog to the regA cluster genes found in these species is RLS1. This gene is an ortholog of the Volvocaceaen rlsD, which is the closest rls paralog of the regA cluster. Duncan et al. [59] proposed that in the common ancestor of the lineages leading to V. carteri and C. reinhardtii, a VARL gene underwent duplication to give rise to two paralogs they referred to as “proto-RLS1/rlsD” and “proto-regA”. Following the separation of the C. reinhardtii and V. carteri lineages, they suggested that proto-regA was lost from C. reinhardtii but underwent additional duplication in V. carteri’s lineage to give rise to the regA cluster. Meanwhile, proto-RLS1/rlsD was retained in both lineages and evolved into the modern-day RLS1 and rlsD. However, the addition of more regA sequences from a variety of species and lack of a proto-regA candidate in G. pectorale, T. socialis, and A. gubernaculifera favor a different model in which the ancestral RLS1/rlsD underwent a series of tandem duplications to form the regA gene cluster at the origin of the Volvocaceae [25,32].
Finally, several lineage-specific details about the regA cluster and rlsD are relevant to further understanding the evolution of this gene family in different volvocine species. First, in all species for which sufficient data are available, the rlsD gene is found near the regA gene cluster, except for V. carteri (Figure 2). This supports the idea that RLS1/rlsD duplicated to give rise to the regA cluster; however, later, in the V. carteri lineage, rlsD translocated away from the regA cluster [25,59]. Second, the regA cluster is inverted with respect to nearby syntenic markers in P. caudata, although the regA cluster genes themselves are in the same order relative to each other. Third, the regA, rlsB, and rlsO genes in Y. unicocca are more similar to each other than they are to their homologs in other species, suggesting two of these genes were lost and were later replaced via the duplication of the remaining gene (thus, these three genes in Y. unicocca are not orthologs of the similarly labeled genes in other species) [25]. It is possible that similar mechanisms of complex evolution have happened within the regA cluster in other species as well, but phylogenomic analysis supports the orthology of regA cluster genes within the Eudorina group species [41].
Synthesizing the information above, we propose the following scenario for the evolution of the regA gene cluster (Figure 2). The VARL gene family comprising several paralogs including RLS1/rlsD was already present in the common ancestor of all volvocine green algae. RLS1/rlsD underwent one or more duplication events in the common ancestor of the Volvocaceae family to give rise to a five-gene regA gene cluster comprising rlsA, regA, rlsB, rlsO, and rlsC. After the lineage leading to V. ferrisii diverged from the rest of the Volvocaceae, its rlsO gene gained a second VARL domain and evolved into rlsN. Meanwhile, the common ancestor of the Eudorina group lost rlsO. In addition, Y. unicocca lost two internal regA cluster genes (regA, rlsB, or rlsO) but restored the five-gene cluster via gene duplication, and the regA cluster of P. caudata became inverted relative to nearby syntenic markers (Figure 2).

5. SAND-Domain-Containing Sequences beyond Volvocine Algae

The VARL domain is postulated to be specific to the volvocine VARL gene family but contains a SAND domain similar to that seen in plants and animals. The evolutionary origins of the VARL family and its relationships with other SAND-domain-containing proteins are unclear [71]. Interestingly, SAND-domain-containing proteins appear to be restricted to Viridiplantae (green algae and land plants, also known as green plants) and Metazoa. Specifically, SAND-containing sequences were detected in both lineages within Viridiplantae: Streptophyta (land plants and their closest green algal relatives, the Charophytes) and Chlorophyta (green algae in the Chlorophyceae, Trebouxiohyceae, Ulvophyceae, and Prasinophytes, a paraphyletic group of early-diverged single-celled lineages). However, despite the presence of SAND-containing proteins in all metazoan lineages (from sponges, ctenophores, and cnidarians to mammals), SAND sequences could not be detected in their closest unicellular relatives (choanoflagellates, filasterians, and ichthyosporeans) [71].
In SAND-containing proteins, the SAND domain is found either alone (as in the VARL family) or in various combinations with one or more domain types (Figure 6). Notably, no multi-domain architecture is shared between the SAND-containing animal and green plant proteins. Furthermore, the range and distribution of architectures are very different between green plants and animals. For instance, a rich toolkit of SAND-containing proteins with various (and complex) architectures is present in green algae (including the volvocine species), but only two architecture types are found in land plants. On the other hand, only one or two architectures are found in sponges and cnidarians, but a richer repertoire (six or more types) is present in vertebrates (Figure 6).
Moreover, phylogenetic analyses did not reveal any orthologous relationships between SAND-domain-containing sequences in the animal and green plant lineages [71]. In addition, this limited distribution of SAND sequences is intriguing. Such a “patchy” distribution (Figure 7) is considered to be indicative of lateral gene transfer (LGT) [74], and this was also suggested to be the case for SAND [71]. Phylogenetic analyses and the presence of a specific sequence motif suggest that animal SAND-containing proteins evolved via an LGT event from a VARL-like sequence [71].
Metazoans, streptophytes, and volvocine algae evolved multicellular development independently ca. 600 MYA, >700 MYA, and 200 MYA, respectively [22,76]. The fact that they all employ SAND-containing proteins in processes involving the regulation of cell proliferation and differentiation suggests that SAND-containing proteins were co-opted for and deployed in similar developmental processes in parallel. Thus, it has been suggested that the independent evolution of complex development in these lineages involved the parallel deployment of ancestral sequences containing a SAND domain [71]. Furthermore, the presence of SAND-containing proteins in single-celled green algae (Figure 6) argues that the ancestral role of this domain was in the regulation of gene expression outside a multicellular context. Below, we review the role of such a SAND-domain-containing sequence in a single-celled volvocine species and its co-option for the regulation of cell proliferation and somatic cell differentiation during the evolution of the volvocine regA-like family.

6. Functional Evolution of regA via Co-Option of a Life History Trade-Off Gene

regA has been known to act as a master regulator of somatic cell differentiation in V. carteri for over two decades [49]. However, it is still not known how regA is differentially regulated and how exactly it acts to suppress division in cells that fall under the 8 µm threshold size at the end of embryogenesis. Evolutionary approaches can provide alternative or additional means to gain insight into the function of a gene. Based on its role in suppressing reproduction in somatic cells, it has been hypothesized that regA evolved from a gene that was involved in trading off reproduction for survival (i.e., a life history trade-off gene) in the single-celled ancestors of V. carteri. Specifically, such a gene could have been co-opted by changing its expression from a temporal context (in response to an environmental cue) into a spatial context (in response to a developmental cue) [17] (Figure 8).

6.1. Life History Trade-Offs in Single-Celled Organisms

Although single-celled organisms, by definition, do not possess specialized cell types, they are nevertheless capable of differentiating themselves into various cell states in response to environmental changes. These capabilities include simply switching between the activities enhancing survival, growth, or reproduction during their lifetime, as well as adopting more stable and functionally distinct states (e.g., gametes or spores). The need to switch between survival and reproduction to increase overall fitness reflects one of the main trade-offs that characterize the life history of all organisms [77,78,79]. The mechanistic basis of life history trade-offs can be resource availability, structural constraints, cellular processes or genes that affect two sets of activities in opposite ways, or a combination of such factors [77,78,80,81,82,83,84,85,86,87,88]. Life history trade-offs can be amplified during certain environmental conditions, such as nutrient limitation, in which survival is prioritized over reproduction [87,88].
In photosynthetic organisms, including volvocine algae, nutrient limitation induces a series of physiological changes—known as acclimation—characterized by the downregulation of photosynthesis to avoid oxidative damage associated with imbalances between light excitation and NADPH consumption [89]. In single-celled volvocine algae, such acclimation processes that increase survival also result in a temporary cessation of growth (dependent on photosynthesis) and reproduction (dependent on growth) [90].

6.2. Chlamydomonas RLS1 Is a Life History Trade-Off Gene Induced via Environmental Cues

As noted earlier, the closest homolog of regA in C. reinhardtii is RLS1 [17,59]. Consistent with the proposed hypothesis that regA evolved from a life history trade-off gene, initial studies showed that RLS1 expression is upregulated under nutrient (phosphorous or sulfur) and light deprivation, which requires the suppression of reproduction to increase survival [16,17]. Later, to confirm that RLS1 acts as a bona fide life history trade-off gene, the reproduction and survival of an RLS1 mutant during phosphate deprivation were investigated [91]. As expected, the RLS1 mutant was not able to suppress its reproduction when phosphate was limited. In fact, the population size of the mutant exceeded that of the wild-type. However, this short-term immediate reproductive advantage was counteracted by a loss in long-term viability, arguing that RLS1 is a genuine life history trade-off gene [91].
Theoretically, the suppression of reproduction in nutrient-limiting conditions can involve three distinct possibilities [91]. First, the suppression of reproduction and increased survival could be a direct response to the reallocation of nutrients, possibly involving a trade-off between protein biosynthesis (growth) and energy metabolism (survival) [77]. Alternatively, reproduction could be suppressed in response to nutrient-stress-induced production of reactive oxygen species (ROS); such oxidative stress could trigger temporary cell cycle arrest (suppression of reproduction) to repair the oxidative DNA damage. Lastly, the suppression of reproduction could be induced by redox signals associated with imbalances between excitation energy and electron acceptor levels under nutrient deprivation [92]. Such signals trigger the downregulation of photosynthesis to avoid potential photo-oxidative damage, which will increase survival but also limit cell growth and thus reproduction. The available data are consistent with the latter scenario [91]. Thus, mechanistically, RLS1 appears to be induced by a redox imbalance/signal, and once expressed, RLS1 could act via the downregulation of photosynthesis. Consistent with this model, the induction of RLS1 coincides with the downregulation of a light-harvesting chloroplast protein-coding gene, and the experimental inhibition of photosynthetic electron transport can induce the expression of RLS1 [16].

6.3. V. carteri regA Retained the Ancestral Environmental Regulation

Nonetheless, how did the regulation of regA in somatic cells evolve from the environmentally induced regulation of its RLS1-like progenitor? To address this question, König and Nedelcu [24] proposed two scenarios (Figure 9): (i) a new developmental regulation replaced the ancestral environmental regulation of RLS1/rlsD in the regA paralog, or (ii) a new developmental regulation was added to the ancestral regulation. The second scenario predicted that in addition to its developmental expression, regA could also be induced in response to environmental cues. Recently, it was shown that regA can, indeed, be expressed in both developmental and environmental contexts (see scenario ii in Figure 9A). Specifically, regA was induced in response to light exposure following an extended dark period in a V. carteri mutant that lacks cell differentiation and a functional RegA protein but still expresses regA developmentally [24]. Furthermore, because the expression of regA was affected by the duration of both dark and light exposure, it is likely that the environmental induction is triggered by a metabolic imbalance [24].

6.4. Co-Option of an Environmentally Regulated Gene into a Developmental Master Regulator

To address how the new developmental regulation evolved, two models have been proposed: a completely new signaling pathway evolved, or the ancestral signaling pathway was co-opted into a developmental context [24]. The two models make different predictions as to the regulation of regA in V. carteri (Figure 9B).
The first model implies that new cis-regulatory and/or trans-acting elements were added to the ancestral RLS1/rlsD gene regulation. Although the developmental regulation of regA in V. carteri is known to involve intronic cis-regulatory elements [57], their sequence as well as the trans-acting factors binding to them are still unknown. Moreover, nothing yet is known about the regulatory sequences of RLS1. Notably, RLS1 does not share regA’s exon–intron structure and/or similar intronic sequences; thus, there is no direct correspondence between the postulated intronic silencers and enhancers in regA and potential regulatory elements in RLS1 (Figure 3).
Changes in the deployment of trans-acting factors, cis-regulatory elements (de novo or via the modification of pre-existing elements), or a combination of both have been proposed to have taken place during the evolution of morphological innovations in animals [93]. Similarly, the acquisition of new, distal promoters was invoked in the co-option of ancestral cAMP signaling genes for new developmental roles in the social amoebae Dictyostelium discoideum [94]. Finding a similar mechanism in volvocine algae would argue for its general role in the changes in gene regulation during the evolution of major morphological innovations. Genes with dual regulation are often seen as intermediate steps during the sub-functionalization process that results in two specialized genes (e.g., [95]). In this context, it is relevant to know if regA’s paralogs (rlsA, rlsB, rlsO, and rlsC) have retained the ancestral regulation or whether they specialized into specific developmental roles. A preliminary investigation found that the genes rlsB and rlsC are co-expressed with regA during development, but the functional significance of this is not yet known [50]. Likewise, a preliminary investigation using RNAi to knock down rlsA, rlsB, and rlsC expression in V. carteri did not result in any discernable vegetative phenotype [96]. The mechanisms underlying these results and their implications are not yet clear and require further investigation. Notably, of the total 14 VARL genes (including regA) in V. carteri, 10 are overexpressed in somatic cells, 3 are expressed constitutively, and 1 is overexpressed in reproductive cells [51].
The second model requires that the same intracellular signal that induces the environmental expression of RLS1 in C. reinhardtii is also triggered in V. carteri’s small cells at the end of embryogenesis. As RLS1 is likely part of the general acclimation response [16], it is possible that its induction is the result of an energetic imbalance mediated via a redox signal (e.g., NADPH/NADP+ and ROS) (e.g., [97]). A similar signal could be responsible for the observed induction of regA in V. carteri cells exposed to light after long dark periods [24]. If the same signal is also produced in small cells at the end of embryogenesis (induced by a different imbalance caused by small cell size), regA could be expressed in a developmental context using the same environmental regulatory elements. The postulated developmental signal can be triggered by an imbalance between membrane-bound proteins (e.g., electron transport carriers and ion transporters) and soluble factors (e.g., NADP+) as the surface-to-volume ratio in these small cells is in favor of membrane proteins (see Figure 2 in [16]). Interestingly, the environmental induction of regA is also affected by cell size [24]. If this model is correct, finding the exact signal involved in the environmental induction of regA could help answer the long-standing question of how small cell size determines somatic cell differentiation in V. carteri.
Notably, the conditions that induced regA in regA mutant cells ultimately resulted in the activation of programmed cell death (PCD), while wild-type somatic cells (harboring a functional RegA protein) show little response in terms of environmental regA induction or loss in viability [24]. Furthermore, wild-type somatic cells are unaffected by heat stress, while regA mutant cells as well as wild-type gonidia (which do not express regA [49]) undergo PCD [98,99]. Altogether, these findings suggest that in addition to its role in suppressing the reproduction of somatic cells, the presence of a functional RegA protein in somatic cells confers (directly or indirectly) resistance to environmental stress.
The fact that somatic cells are already protected (see [24] for a discussion of this) by the presence of the developmentally expressed RegA protein raises the question of why the environmental regulation of regA is still maintained in V. carteri. It has been proposed that, similar to RLS1 in C. reinhardtii, regA plays a direct role in the response to stress in gonidia [24]. For instance, under nutrient deprivation, gonidia stop growing and undergo a temporary cessation of reproduction. At the cell level, the inhibition of gonidial growth and reproduction can be an acclimation response that prevents the accumulation of oxidative damage and thus ensures survival. At the multicellular level, this is an adaptive response that is costly in the terms of immediate reproduction but beneficial in terms of offspring quality since it avoids ROS-induced DNA damage and mutations in the gonidia. Nevertheless, when damage is extensive (such as during heat stress), PCD is the best adaptive response as it eliminates potentially damaged gonidia and/or prevents the transmission of deleterious mutations to offspring [99].
Preliminary investigations into the effects of knocking down or overexpressing rlsD during V. carteri development are also compelling [96,100]. Knocking down rlsD expression appears to result in colonies with reduced size or with germ cells that divide but fail to complete development. In contrast, the overexpression of rlsD results in the development of “somagonidia”, wherein germ cells do not grow to their normally large size but are still larger than soma and exhibit soma-like characteristics such as the presence of eyespots and flagella [96]. The gene expression profiles of wild-type V. carteri compared with those with rlsD overexpression show downregulation of ribosome- and photosynthesis-related genes [100]. Together, these results suggest that rlsD plays an important complementary role to regA in regulating cell growth, supporting the idea that the ancestral functions of RLS1/rlsD were sub-functionalized and/or neo-functionalized as regA evolved following its duplication from RLS1/rlsD [100].

7. The General Role of Stress and Life History Trade-Off Genes in the Re-Organization of Fitness during the Evolution of Multicellularity

Stress responses take on special significance during evolutionary transitions in individuality more generally. As discussed in the Introduction, during an evolutionary transition in which individuals form groups that evolve into a new kind of individual, fitness must be reorganized so that it becomes a property of the group. The fitness opportunities of the previous individual must be significantly reduced or eliminated. The readjustment of fitness components during stressful periods provides a useful substrate for the reorganization of fitness because mechanisms are already in a position within the previous lower-level individual to adjust fitness components during times of stress [12,16,17,24].
The findings that regA is a master developmental regulator that (i) evolved from a stress-induced gene, (ii) still manifests its ancestral environmental regulation, and (iii) confers stress protection offers a direct link between stress responses and the early evolution of somatic cell differentiation. In stressful environments, fitness is compromised, and fitness components must be adjusted to meet the challenge if the individual is to survive. In particular, survival will often be prioritized over reproduction in the short term. We suggest that the ability to re-organize fitness components under stress can be co-opted during the evolution of multicellularity and can contribute to the evolutionary potential and stability of multicellular lineages.
In V. carteri, the co-option of a life history trade-off gene that could suppress reproduction at the cell level increased the survival of the multicellular individual, since non-dividing somatic cells could maintain flagellar motility throughout the life cycle. However, as regA evolved from a life history trade-off gene expressed under stress, the permanent suppression of reproduction also provided somatic cells with survival cell-level benefits in terms of enhanced resistance to environmental stress. Indeed, the lack of a functional RegA protein (such as in regA mutants) makes cells more sensitive to environmental stress [98]. This increased sensitivity to stress can also contribute to the stability of the multicellular individual as regA mutant cells that regain reproductive capabilities (and negatively affect the fitness of the multicellular individual) will incur a cost in terms of survival [98]. On the other hand, the developmental repression of regA expression in gonidia is required to allow the reproduction of the individual. However, since regA has maintained its ancestral environmental regulation, gonidia can adaptively respond to environmental stress by inducing either temporary cell cycle arrest (to prevent or repair damage) or PCD (to prevent the transmission of deleterious mutations to offspring).
As life history trade-offs are common in single-celled organisms (e.g., [101,102,103,104]), it has been suggested that similar co-options of life history trade-off genes with antagonistic effects on survival and reproduction have taken place during the evolution of multicellularity in other lineages [98]. Notably, the de-differentiation and increased proliferation of cancer cells were also shown to result in increased sensitivity to nutrient stress due to their failure to trade off cell proliferation for maintenance in stressful environments [105,106]. This trade-off, likely inherited from the unicellular ancestors of animals, might have contributed to the stability of the multicellular individuals during early animal evolution and might still be involved in the purging of most pre-cancerous cells [98]. Recently, pre-existing ancestral stress responses have been linked to the evolution of several other developmental processes, from aggregative multicellularity in D. discoideum to the differentiation of decidual stromal cells in placental mammals [107,108,109].

8. Future Directions

Despite the unprecedented suitability of the volvocine algae and the regA-like family for understanding the mechanistic and genetic basis for the transition to a new higher-level individual through the reorganization of fitness components, there are many unknowns yet to be addressed. For instance, while the role regA plays in cellular differentiation is clear in V. carteri f. nagariensis, the specific details of how it carries out this function are not well understood. The expression of regA is regulated by cell size at the end of cleavage in V. carteri [39], but how cell size induces the expression of regA is unknown. Similarly, how regA regulates its target genes and what those target genes are is unresolved.
The function of regA is even less clear in other volvocine algae species. Cellular differentiation arose three to five times in the Volvocaceae [25,27,35] (Figure 2), leaving open the question of whether regA was co-opted to control differentiation multiple times or if different genes control differentiation in other volvocine species with somatic cells. Intriguingly, regA is found in species lacking somatic cells, but its function in these undifferentiated species is not known [25]. Some volvocine algae thought to lack differentiation, such as Eudorina, can develop somatic-like cells under environmental stress [110]. Whether or not regA is involved in this phenomenon is currently unknown as well. A better understanding of how RLS1 acts and is regulated in Chlamydomonas and volvocine species that lack cellular differentiation will help fill in the gaps of how regA was co-opted to control somatic cell differentiation as well. For instance, the cis-regulatory elements of RLS1 are undescribed. Identifying these regulatory elements and comparing them to the cis-regulatory elements of V. carteri regA would illuminate how the environmentally induced regulation of RLS1 was co-opted during the evolution of somatic cell differentiation.
Understanding the functions of the regA cluster genes other than regA also requires more work. Preliminary studies have shown that at least rlsB and rlsC have a similar expression pattern as regA during V. carteri development [50], which suggests that the regA cluster as a whole may be involved in development and differentiation, but more work needs to be undertaken to fully assess this idea [96]. Interestingly, Grochau-Wright et al. [41] found that a morphological mutant of V. powersii that has fewer cells and a lower soma-to-germ ratio than the WT strain has a mutation in its rlsB gene. Nevertheless, the transformation of the WT-rlsB gene into this mutant did not lead to morphological rescue. Thus, the cause of the mutant’s altered phenotype and the functional significance of the rlsB mutation (if any) remain unclear.
Very little is known about the structure, function, and evolution of VARL genes outside of the reg cluster due to less attention and less effort being put into cloning and sequencing these genes. However, whole genome sequence data are available for several species that require further analysis and annotation to determine the total number of VARL genes present, specifically E. elegans, Y. unicocca, Volvox reticuliferus, and Volvox africanus [111,112]. In addition, Lindsey et al. [35] generated a large transcriptomic dataset for 47 volvocine algae species that could potentially be mined for VARL gene family members. Searching these already available data for VARL genes could substantially expand our knowledge of the structure and evolution of VARL genes outside of the reg sub-family. Intriguingly, Klein et al. [51] found that the rlsM gene in V. carteri is overexpressed in reproductive cells and suggest a possible role of this VARL gene in germ cell development.
In addition, understanding how species in the genus Astrephomene control their cellular differentiation is of interest. The Astrephomene species are the only volvocine algae outside of the Volvocaceae that have cellular differentiation, but unlike the Volvox and Pleodorina species, the somatic cells of Astrephomene are located in the posterior of the colony due to differences in colony development [113]. In addition, Astrephomene does not possess the regA gene and evolved somatic cells independently of other volvocine algae [25,33,35] (Figure 2).
A key lesson from studying RLS1 and regA in the volvocine algae is that life history genes may be co-opted for the cell differentiation of soma, in particular, environmentally controlled growth suppression genes can be co-opted to provide the genetic basis for the developmental control of cell differentiation. The need for single-celled organisms to respond to times of stress by decreasing their growth to support their survival provides the foundation for the evolution of somatic cells in a multicellular organism [16,17,19]. regA is the best-known example of such a life history gene; however, as regA is specific to the volvocine algae clade, it would be useful to know if genes with similar life history functions were co-opted to produce soma in other clades that made the transition to multicellularity independently. Similarly, the evolution of specialized reproductive and worker castes during the transition to eusociality is analogous to the evolution of germ and soma during the transition to multicellularity. Thus, it may be fruitful to investigate the co-option of stress response life history genes during the transition to eusociality as well.

9. Summary

The evolution of cellular differentiation is a key event during the transition from single-celled to multicellular life. Specialized germ cells and somatic cells reorganize the two essential components of fitness between different cell types, thereby transferring fitness from the cell level to the multicellular level. Understanding the genetic basis for the evolution of cellular differentiation during unicellular-to-multicellular transitions is a major challenge in evolutionary biology. The co-option of life history trade-off genes present in unicellular organisms that differentially affect survival and reproductive functions in response to the environment is one route for the evolution of genes controlling cellular differentiation. The regA-like gene family of the volvocine green algae is an unrivaled model system to study this co-option due to the recent origin of multicellularity in this clade and the presence of extant relatives at different levels of multicellular complexity and individuality.
The regA gene in V. carteri f. nagariensis is the type-gene for the VARL gene family specific to the volvocine algae lineage. The common ancestor of V. carteri and C. reinhardtii likely had several VARL gene family members, one of which was RLS1. The RLS1 gene duplicated several times to give rise to the regA gene cluster in the common ancestor of the Volvocaceae, setting the stage for the functional co-option of regA during the evolution of cellular differentiation as well as other lineage-specific changes to regA cluster genes (Figure 2). The co-option of RLS1′s functions into a regA-like gene responsible for somatic cell differentiation likely involved the simulation of the ancestral environmentally induced signal in a developmental context (Figure 9).
The defining feature of all VARL genes is the presence of the VARL domain, which contains a conserved SAND domain. The SAND domain is found in other green algae, land plants, and animals but appears to be missing from other eukaryotic lineages. This indicates the possibility that the SAND domain was horizontally transferred between green algae and animals early on in eukaryotic evolution, wherein it appears to have been co-opted multiple times independently in a variety of developmentally important functions.
Overall, we argue that the co-option of life history trade-off genes during the transition to multicellularity underlies the re-organization of fitness between soma and germ to optimize fitness at the multicellular level and enhance the individuality of the multicellular group. It is axiomatic that all organisms must have such stress response trade-off genes, and it remains to be determined whether or how fitness reorganization and the co-option of life history genes during the evolution of specialized cell types apply to other lineages that evolved multicellularity independently.

Author Contributions

Conceptualization, Z.I.G.-W., A.M.N. and R.E.M.; writing—original draft, Z.I.G.-W., A.M.N. and R.E.M.; writing—review and editing, Z.I.G.-W., A.M.N. and R.E.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by a Natural Sciences and Engineering Research Council (NSERC) of Canada grant (RGPIN-2022-03996) to A.M.N. and a National Science Foundation (NSF) grant (NSF DEB 2029999) to R.E.M.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Buss, L. The Evolution of Individuality; Princeton University Press: Princeton, NJ, USA, 1987. [Google Scholar]
  2. Maynard Smith, J.; Szathmáry, E. The Major Transitions in Evolution; Oxford University Press: Oxford, UK, 1995. [Google Scholar]
  3. Michod, R.E. Darwinian Dynamics; Princeton University Press: Princeton, NJ, USA, 1999. [Google Scholar]
  4. Grosberg, R.K.; Strathmann, R.R. The Evolution of Multicellularity: A Minor Major Transition? Annu. Rev. Ecol. Evol. Syst. 2007, 38, 621–654. [Google Scholar] [CrossRef]
  5. Herron, M.D.; Conlin, P.L.; Ratcliff, W.C. The Evolution of Multicellularity; CRC Press: Boca Raton, FL, USA, 2022. [Google Scholar] [CrossRef]
  6. Bonner, J.T. The origins of multicellularity. Integr. Biol. Issues News Rev. 1998, 1, 27–36. [Google Scholar] [CrossRef]
  7. Boraas, M.E.; Seale, D.B.; Boxhorn, J.E. Phagotrophy by flagellate selects for colonial prey: A possible origin of multicellularity. Evol. Ecol. 1998, 12, 153–164. [Google Scholar] [CrossRef]
  8. Herron, M.D.; Borin, J.M.; Boswell, J.C.; Walker, J.; Chen, I.K.; Knox, C.A.; Boyd, M.; Rosenzweig, F.; Ratcliff, W.C. De novo origins of multicellularity in response to predation. Sci. Rep. 2019, 9, 2328. [Google Scholar] [CrossRef]
  9. Ratcliff, W.C.; Denison, R.F.; Borrello, M.; Travisano, M. Experimental evolution of multicellularity. Proc. Natl. Acad. Sci. USA 2012, 109, 1595–1600. [Google Scholar] [CrossRef]
  10. Ratcliff, W.C.; Herron, M.D.; Howell, K.; Pentz, J.T.; Rosenzweig, F.; Travisano, M. Experimental evolution of an alternating uni- and multicellular life cycle in Chlamydomonas reinhardtii. Nat. Commun. 2013, 4, 2742. [Google Scholar] [CrossRef]
  11. Rose, C.J.; Hammerschmidt, K.; Rainey, P.B. Experimental evolution of nascent multicellularity: Recognizing a Darwinian transition in individuality. BioRxiv 2020. [Google Scholar] [CrossRef]
  12. Michod, R.E.; Nedelcu, A.M. On the reorganization of fitness during evolutionary transitions in individuality. Integr. Comp. Biol. 2003, 43, 64–73. [Google Scholar] [CrossRef]
  13. Nedelcu, A.M.; Michod, R.E. Evolvability, modularity, and individuality during the transition to multicellularity in volvocalean green algae. In Modularity in Development and Evolution; Schlosser, G., Wagner, G.P., Eds.; University of Chicago Press: Chicago, IL, USA, 2003. [Google Scholar]
  14. Michod, R.E. On the transfer of fitness from the cell to the multicellular organism. Biol. Philos. 2006, 20, 967–987. [Google Scholar] [CrossRef]
  15. Michod, R.E. The group covariance effect and fitness trade-offs during evolutionary transitions in individuality. Proc. Natl. Acad. Sci. USA 2006, 103, 9113–9117. [Google Scholar] [CrossRef]
  16. Nedelcu, A.M. Environmentally induced responses co-opted for reproductive altruism. Biol. Lett. 2009, 5, 805–808. [Google Scholar] [CrossRef]
  17. Nedelcu, A.M.; Michod, R.E. The evolutionary origin of an altruistic gene. Mol. Biol. Evol. 2006, 23, 1460–1464. [Google Scholar] [CrossRef] [PubMed]
  18. Brunet, T.; King, N. The Origin of Animal Multicellularity and Cell Differentiation. Dev. Cell 2017, 43, 124–140. [Google Scholar] [CrossRef]
  19. Olson, B.J.S.C.; Nedelcu, A.M. Co-option during the evolution of multicellularity and developmental complexity in the volvocine green algae. Curr. Opin. Genet. Dev. 2016, 39, 107–115. [Google Scholar] [CrossRef] [PubMed]
  20. Sharpe, S.C.; Eme, L.; Brown, M.W.; Roger, A.J. Timing the Origins of Multicellular Eukaryotes Through Phylogenomics and Relaxed Molecular Clock Analyses. In Evolutionary Transitions to Multicellular Life; Nedelcu, A.M., Ruiz-Trillo, I., Eds.; Springer: Berlin/Heidelberg, Germany, 2014; pp. 3–30. [Google Scholar]
  21. Hanschen, E.R.; Davison, D.R.; Grochau-Wright, Z.I.; Michod, R.E. Evolution of individuality: A case study in the volvocine green algae. Philos. Theory Pract. Biol. 2017, 9, 3. [Google Scholar] [CrossRef]
  22. Herron, M.D.; Hackett, J.D.; Aylward, F.O.; Michod, R.E. Triassic origin and early radiation of multicellular volvocine algae. Proc. Natl. Acad. Sci. USA 2009, 106, 3254–3258. [Google Scholar] [CrossRef]
  23. Umen, J.G. Volvox and volvocine green algae. EvoDevo 2020, 11, 7–15. [Google Scholar] [CrossRef]
  24. König, S.G.; Nedelcu, A.M. The genetic basis for the evolution of soma: Mechanistic evidence for the co-option of a stress-induced gene into a developmental master regulator. Proc. R. Soc. B Biol. Sci. 2020, 287, 20201414. [Google Scholar] [CrossRef] [PubMed]
  25. Grochau-Wright, Z.I.; Hanschen, E.R.; Ferris, P.J.; Hamaji, T.; Nozaki, H.; Olson, B.J.S.C.; Michod, R.E. Genetic Basis for Soma is Present in Undifferentiated Volvocine Green Algae. J. Evol. Biol. 2017, 30, 1205–1218. [Google Scholar] [CrossRef]
  26. Coleman, A.W. A Comparative Analysis of the Volvocaceae (Chlorophyta). J. Phycol. 2012, 48, 491–513. [Google Scholar] [CrossRef]
  27. Herron, M.D.; Michod, R.E. Evolution of complexity in the volvocine algae: Transitions in individuality through Darwin’s eye. Evol. Int. J. Org. Evol. 2008, 62, 436–451. [Google Scholar] [CrossRef] [PubMed]
  28. Kirk, D.L. A twelve-step program for evolving multicellularity and a division of labor. BioEssays News Rev. Mol. Cell. Dev. Biol. 2005, 27, 299–310. [Google Scholar] [CrossRef] [PubMed]
  29. Nozaki, H.; Misawa, K.; Kajita, T.; Kato, M.; Nohara, S.; Watanabe, M.M. Origin and evolution of the colonial volvocales (Chlorophyceae) as inferred from multiple, chloroplast gene sequences. Mol. Phylogenet. Evol. 2000, 17, 256–268. [Google Scholar] [CrossRef] [PubMed]
  30. Arakaki, Y.; Kawai-Toyooka, H.; Hamamura, Y.; Higashiyama, T.; Noga, A.; Hirono, M.; Olson, B.J.S.C.; Nozaki, H. The simplest integrated multicellular organism unveiled. PLoS ONE 2013, 8, e81641. [Google Scholar] [CrossRef]
  31. Nozaki, H.; Itoh, M.; Watanabe, M.M.; Kuroiwa, T. Ultrastructure of the vegetative colonies and systematic position of basichlamys (Volvocales, Chlorophyta). Eur. J. Phycol. 1996, 31, 67–72. [Google Scholar] [CrossRef]
  32. Hanschen, E.R.; Marriage, T.N.; Ferris, P.J.; Hamaji, T.; Toyoda, A.; Fujiyama, A.; Neme, R.; Noguchi, H.; Minakuchi, Y.; Suzuki, M.; et al. The Gonium pectorale genome demonstrates co-option of cell cycle regulation during the evolution of multicellularity. Nat. Commun. 2016, 7, 11370. [Google Scholar] [CrossRef]
  33. Yamashita, S.; Yamamoto, K.; Matsuzaki, R.; Suzuki, S.; Yamaguchi, H.; Hirooka, S.; Minakuchi, Y.; Miyagishima, S.-Y.; Kawachi, M.; Toyoda, A.; et al. Genome sequencing of the multicellular alga Astrephomene provides insights into convergent evolution of germ-soma differentiation. Sci. Rep. 2021, 11, 22231. [Google Scholar] [CrossRef]
  34. Nozaki, H.; Mahakham, W.; Athibai, S.; Yamamoto, K.; Takusagawa, M.; Misumi, O.; Herron, M.D.; Rosenzweig, F.; Kawachi, M. Rediscovery of the species of ‘ancestral Volvox’: Morphology and phylogenetic position of Pleodorina sphaerica (Volvocales, Chlorophyceae) from Thailand. ’ Phycologia 2017, 56, 469–475. [Google Scholar] [CrossRef]
  35. Lindsey, C.R.; Rosenzweig, F.; Herron, M.D. Phylotranscriptomics points to multiple independent origins of multicellularity and cellular differentiation in the volvocine algae. BMC Biol. 2021, 19, 182. [Google Scholar] [CrossRef]
  36. Kirk, D.L. Volvox: Molecular-Genetic Origins of Multicellularity and Cellular Differentiation; Cambridge University Press: Cambridge, UK, 1998. [Google Scholar]
  37. Kirk, D.L. Germ-soma differentiation in Volvox. Dev. Biol. 2001, 238, 213–223. [Google Scholar] [CrossRef]
  38. Koufopanou, V. The Evolution of Soma in the Volvocales. Am. Nat. 1994, 143, 907–931. [Google Scholar] [CrossRef]
  39. Kirk, M.M.; Ransick, A.; McRae, S.E.; Kirk, D.L. The Relationship between Cell Size and Cell Fate in Volvox carteri. J. Cell Biol. 1993, 123, 191–208. [Google Scholar] [CrossRef] [PubMed]
  40. Grochau-Wright, Z.I. The Origin and Evolution of the Reg Cluster in the Volvocine Green Algae: A Model System for the Evolution of Cellular Differentiation. Ph.D. Dissertation, University of Arizona, Tucson, AZ, USA, 2019. [Google Scholar]
  41. Grochau-Wright, Z.I.; Ferris, P.J.; Tumberger, J.; Jiménez-Marin, B.; Olson, B.J.S.C.; Michod, R.E. Characterization and Transformation of reg Cluster Genes in Volvox powersii Enable Investigation of Convergent Evolution of Cellular Differentiation in Volvox. Protist 2021, 172, 125834. [Google Scholar] [CrossRef]
  42. Ransick, A. Reproductive cell specification during Volvox obversus development. Dev. Biol. 1991, 143, 185–198. [Google Scholar] [CrossRef] [PubMed]
  43. Ransick, A. Specification of reproductive cells in Volvox. In Evolutionary Conservation of Developmental Mechanisms, Proceedings of the 50th Symposium of the Society for Developmental Biology, Marquette University, Milwaukee, WI, USA, 20–23 June 1991; Spradling, A., Ed.; Wiley-Liss: Hoboken, NJ, USA, 1993; pp. 55–70. [Google Scholar]
  44. Sessoms, A.H.; Huskey, R.J. Genetic Control of Development in Volvox: Isolation and Characterization of Morphogenetic Mutants. Proc. Natl. Acad. Sci. USA 1973, 70, 1335–1338. [Google Scholar] [CrossRef]
  45. Starr, R.C. Control of differentiation in Volvox. Dev. Biol. 1970, 4, 59–100. [Google Scholar]
  46. Huskey, R.J.; Griffin, B.E.; Cecil, P.O.; Callahan, A.M. A Preliminary Genetic Investigation of Volvox carteri. Genetics 1979, 91, 229–244. [Google Scholar] [CrossRef] [PubMed]
  47. Huskey, R.J.; Griffin, B.E. Genetic Control of Somatic Cell Differentiation in Volvox. Dev. Biol. 1979, 72, 226–235. [Google Scholar] [CrossRef]
  48. Baran, G. Analysis of Somatic Cell Differentiation in Volvox carteri f. nagariensis; University of Virginia: Charlottesville, VA, USA, 1984. [Google Scholar]
  49. Kirk, M.M.; Stark, K.; Miller, S.M.; Müller, W.; Taillon, B.E.; Gruber, H.; Schmitt, R.; Kirk, D.L. regA, a Volvox gene that plays a central role in germ-soma differentiation, encodes a novel regulatory protein. Development 1999, 126, 639–647. [Google Scholar] [CrossRef]
  50. Harryman, A. Investigating the Roles of regA and Related Genes in the Evolution of Multicellularity in the Volvocine Green Algae. Ph.D. Thesis, University of Maryland, Baltimore, MD, USA, 2012. [Google Scholar]
  51. Klein, B.; Wibberg, D.; Hallmann, A. Whole transcriptome RNA-Seq analysis reveals extensive cell type-specific compartmentalization in Volvox carteri. BMC Biol. 2017, 15, 1–22. [Google Scholar] [CrossRef]
  52. Matt, G.Y.; Umen, J.G. Cell-Type Transcriptomes of the Multicellular Green Alga Volvox carteri Yield Insights into the Evolutionary Origins of Germ and Somatic Differentiation Programs. G3 Genes|Genomes|Genet. 2018, 8, 531–550. [Google Scholar] [CrossRef] [PubMed]
  53. Duncan, L.; Nishii, I.; Howard, A.; Kirk, D.; Miller, S.M. Orthologs and paralogs of regA, a master cell-type regulatory gene in Volvox carteri. Curr. Genet. 2006, 50, 61–72. [Google Scholar] [CrossRef]
  54. Choi, G.; Przybylska, M.; Straus, D. Three abundant germ line-specific transcripts in Volvox carteri encode photosynthetic proteins. Curr. Genet. 1996, 30, 347–355. [Google Scholar] [CrossRef] [PubMed]
  55. Meissner, M.; Stark, K.; Cresnar, B.; Kirk, D.L.; Schmitt, R. Volvox germline-specific genes that are putative targets of RegA repression encode chloroplast proteins. Curr. Genet. 1999, 36, 363–370. [Google Scholar] [CrossRef]
  56. Tam, L.; Kirk, D.L. Identification of Cell-Type-Specific Characterization of their Expression Genes of Volvox carteri and during the Asexual Life Cycle. Dev. Biol. 1991, 145, 51–66. [Google Scholar] [CrossRef]
  57. Stark, K.; Kirk, D.L.; Schmitt, R. Two enhancers and one silencer located in the introns of regA control somatic cell differentiation in Volvox carteri. Genes Dev. 2001, 15, 1449–1460. [Google Scholar] [CrossRef] [PubMed]
  58. Babinger, K.; Hallmann, A.; Schmitt, R. Translational control of regA, a key gene controlling cell differentiation in Volvox carteri. Development 2006, 133, 4045–4051. [Google Scholar] [CrossRef]
  59. Duncan, L.; Nishii, I.; Harryman, A.; Buckley, S.; Howard, A.; Friedman, N.R.; Miller, S.M. The VARL gene family and the evolutionary origins of the master cell-type regulatory gene, regA, in Volvox carteri. J. Mol. Evol. 2007, 65, 1–11. [Google Scholar] [CrossRef]
  60. Bottomley, M.J.J.; Collard, M.W.W.; Huggenvik, J.I.I.; Liu, Z.; Gibson, T.J.J.; Sattler, M. The SAND domain structure defines a novel DNA-binding fold in transcriptional regulation. Nat. Struct. Biol. 2001, 8, 626–633. [Google Scholar] [CrossRef]
  61. Barker, H.E.; Smyth, G.K.; Wettenhall, J.; Ward, T.A.; Bath, M.L.; Lindeman, G.J.; Visvader, J.E. Deaf-1 regulates epithelial cell proliferation and side-branching in the mammary gland. BMC Dev. Biol. 2008, 8, 94. [Google Scholar] [CrossRef]
  62. Veraksa, A.; Kennison, J.; McGinnis, W. DEAF-1 function is essential for the early embryonic development of Drosophila. Genesis 2002, 33, 67–76. [Google Scholar] [CrossRef] [PubMed]
  63. Nakagawa, T.; Tsuruma, K.; Uehara, T.; Nomura, Y. GMEB1, a novel endogenous caspase inhibitor, prevents hypoxia- and oxidative stress-induced neuronal apoptosis. Neurosci. Lett. 2008, 438, 34–37. [Google Scholar] [CrossRef] [PubMed]
  64. Kulkarni, M.; Shakes, D.C.; Guevel, K.; Smith, H.E. SPE-44 Implements Sperm Cell Fate. PLoS Genet. 2012, 8, e1002678. [Google Scholar] [CrossRef]
  65. Radhakrishnan, K.; Bhagya, K.P.; Kumar, A.T.; Devi, A.N.; Sengottaiyan, J.; Kumar, P.G. Autoimmune Regulator (AIRE) Is Expressed in Spermatogenic Cells, and It Altered the Expression of Several Nucleic-Acid-Binding and Cytoskeletal Proteins in Germ Cell 1 Spermatogonial (GC1-spg) Cells. Mol. Cell. Proteom. 2016, 15, 2686–2698. [Google Scholar] [CrossRef]
  66. Schaller, C.E.; Wang, C.L.; Beck-engeser, G.; Goss, L.; Scott, H.S.; Anderson, M.S.; Wabl, M. Expression of Aire and the Early Wave of Apoptosis in Spermatogenesis. J. Immunol. 2008, 180, 1338–1343. [Google Scholar] [CrossRef]
  67. Chen, L.-Q.; Luo, J.-H.; Cui, Z.-H.; Xue, M.; Wang, L.; Zhang, X.-Y.; Pawlowski, W.P.; He, Y. ATX3, ATX4, and ATX5 Encode Putative H3K4 Methyltransferases and Are Critical for Plant Development. Plant Physiol. 2017, 174, 1795–1806. [Google Scholar] [CrossRef] [PubMed]
  68. Carles, C.C. ULTRAPETALA1 encodes a SAND domain putative transcriptional regulator that controls shoot and floral meristem activity in Arabidopsis. Development 2005, 132, 897–911. [Google Scholar] [CrossRef]
  69. Carles, C.C.; Fletcher, J.C. The SAND domain protein ULTRAPETALA1 acts as a trithorax group factor to regulate cell fate in plants. Genes Dev. 2009, 23, 2723–2728. [Google Scholar] [CrossRef]
  70. Fletcher, J.C. The ULTRAPETALA gene controls shoot and floral meristem size in Arabidopsis. Development 2001, 128, 1323–1333. [Google Scholar] [CrossRef]
  71. Nedelcu, A.M. Independent evolution of complex development in animals and plants: Deep homology and lateral gene transfer. Dev. Genes Evol. 2019, 229, 25–34. [Google Scholar] [CrossRef]
  72. Featherston, J.; Arakaki, Y.; Hanschen, E.R.; Ferris, P.J.; Michod, R.E.; Olson, B.J.S.C.; Nozaki, H.; Durand, P.M. The 4-celled tetrabaena socialis nuclear genome reveals the essential components for genetic control of cell number at the origin of multicellularity in the volvocine lineage. Mol. Biol. Evol. 2018, 35, 855–870. [Google Scholar] [CrossRef]
  73. Hanschen, E.R.; Ferris, P.J.; Michod, R.E. Early Evolution of the Genetic Basis for Soma in the Volvocaceae. Evolution 2014, 68, 2014–2025. [Google Scholar] [CrossRef] [PubMed]
  74. Keeling, P.J.; Palmer, J.D. Horizontal gene transfer in eukaryotic evolution. Nat. Rev. Genet. 2008, 9, 605–618. [Google Scholar] [CrossRef] [PubMed]
  75. Keeling, P.J.; Burki, F. Progress towards the Tree of Eukaryotes. Curr. Biol. 2019, 29, R808–R817. [Google Scholar] [CrossRef] [PubMed]
  76. Knoll, A.H. The Multiple Origins of Complex Multicellularity. Annu. Rev. Earth Planet. Sci. 2011, 39, 217–239. [Google Scholar] [CrossRef]
  77. Bochdanovits, Z.; De Jong, G. Antagonistic pleiotropy for life-history traits at the gene expression level. Proc. R. Soc. B Biol. Sci. 2004, 271 (Suppl. S3), S75–S78. [Google Scholar] [CrossRef]
  78. Flatt, T. Life-history evolution and the genetics of fitness components in drosophila melanogaster. Genetics 2020, 214, 3–48. [Google Scholar] [CrossRef]
  79. Stearns, S.C. Trade-Offs in Life-History Evolution. Funct. Ecol. 1989, 3, 259–268. [Google Scholar] [CrossRef]
  80. Flatt, T.; Heyland, A. Mechanisms of Life History Evolution: The Genetics and Physiology of Life History Traits and Trade-Offs; Oxford University Press: Oxford, UK, 2011. [Google Scholar]
  81. Hood, W.R.; Zhang, Y.; Mowry, A.V.; Hyatt, H.W.; Kavazis, A.N. Life History Trade-offs within the Context of Mitochondrial Hormesis. Integr. Comp. Biol. 2018, 58, 567–577. [Google Scholar] [CrossRef]
  82. Hughes, K.A.; Leips, J. Pleiotropy, constraint, and modularity in the evolution of life histories: Insights from genomic analyses. Ann. N. Y. Acad. Sci. 2017, 1389, 76–91. [Google Scholar] [CrossRef]
  83. Koch, R.E.; Buchanan, K.L.; Casagrande, S.; Crino, O.; Dowling, D.K.; Hill, G.E.; Hood, W.R.; McKenzie, M.; Mariette, M.M.; Noble, D.W.A.; et al. Integrating Mitochondrial Aerobic Metabolism into Ecology and Evolution. Trends Ecol. Evol. 2021, 36, 321–332. [Google Scholar] [CrossRef] [PubMed]
  84. Leroi, A.M. Molecular signals versus the Loi de Balancement. Trends Ecol. Evol. 2001, 16, 24–29. [Google Scholar] [CrossRef]
  85. Monaghan, P.; Metcalfe, N.B.; Torres, R. Oxidative stress as a mediator of life history trade-offs: Mechanisms, measurements and interpretation. Ecol. Lett. 2009, 12, 75–92. [Google Scholar] [CrossRef] [PubMed]
  86. Roff, D.A.; Fairbairn, D.J. The evolution of trade-offs: Where are we? J. Evol. Biol. 2007, 20, 433–447. [Google Scholar] [CrossRef] [PubMed]
  87. Villellas, J.; García, M.B. Life-history trade-offs vary with resource availability across the geographic range of a widespread plant. Plant Biol. 2018, 20, 483–489. [Google Scholar] [CrossRef]
  88. Zera, A.J.; Harshman, L.G. The Physiology of Life History Trade-Offs in Animals. Annu. Rev. Ecol. Syst. 2001, 32, 95–126. [Google Scholar] [CrossRef]
  89. Wykoff, D.D.; Davies, J.P.; Melis, A.; Grossman, A.R. The regulation of photosynthetic electron transport during nutrient deprivation in Chlamydomonas reinhardtii. Plant Physiol. 1998, 117, 129–139. [Google Scholar] [CrossRef]
  90. Grossman, A. Acclimation of Chlamydomonas reinhardtii to its nutrient environment. Protist 2000, 151, 201–224. [Google Scholar] [CrossRef]
  91. Saggere, R.M.S.; Lee, C.W.J.; Chan, I.C.W.; Durnford, D.G.; Nedelcu, A.M. A life-history trade-off gene with antagonistic pleiotropic effects on reproduction and survival in limiting environments. Proc. R. Soc. B 2022, 288, 20212669. [Google Scholar] [CrossRef]
  92. Pfannschmidt, T.; Bräutigam, K.; Wagner, R.; Dietzel, L.; Schröter, Y.; Steiner, S.; Nykytenko, A. Potential regulation of gene expression in photosynthetic cells by redox and energy state: Approaches towards better understanding. Ann. Bot. 2009, 103, 599. [Google Scholar] [CrossRef]
  93. Koshikawa, S.; Giorgianni, M.W.; Vaccaro, K.; Kassner, V.A.; Yoder, J.H.; Werner, T.; Carroll, S.B. Gain of cis-regulatory activities underlies novel domains of wingless gene expression in Drosophila. Proc. Natl. Acad. Sci. USA 2015, 112, 7524–7529. [Google Scholar] [CrossRef]
  94. Alvarez-Curto, E.; Rozen, D.E.; Ritchie, A.V.; Fouquet, C.; Baldauf, S.L.; Schaap, P. Evolutionary origin of cAMP-based chemoattraction in the social amoebae. Proc. Natl. Acad. Sci. USA 2005, 102, 6385–6390. [Google Scholar] [CrossRef]
  95. Zhang, J. Evolution by gene duplication: An update. Trends Ecol. Evol. 2003, 18, 292–298. [Google Scholar] [CrossRef]
  96. Ortega Escalante, J.A. Investigation of Volvox carteri Cell Differentiation and Its Evolution Through Functional Analysis of regA and regA Homologues. Ph.D. Dissertation, University of Maryland, Baltimore, MD, USA, 2018. [Google Scholar]
  97. Strand, D.D.; Livingston, A.K.; Satoh-Cruz, M.; Koepke, T.; Enlow, H.M.; Fisher, N.; Froehlich, J.E.; Cruz, J.A.; Minhas, D.; Hixson, K.K.; et al. Defects in the Expression of Chloroplast Proteins Leads to H2O2 Accumulation and Activation of Cyclic Electron Flow around Photosystem I. Front. Plant Sci. 2017, 7, 2073. [Google Scholar] [CrossRef]
  98. Cameron-Pack, M.E.; König, S.G.; Reyes-Guevara, A.; Reyes-Prieto, A.; Nedelcu, A.M. A personal cost of cheating can stabilize reproductive altruism during the early evolution of clonal multicellularity. Biol. Lett. 2022, 18, 20220059. [Google Scholar] [CrossRef]
  99. Nedelcu, A.M. Evidence for p53-like-mediated stress responses in green algae. FEBS Lett. 2006, 580, 3013–3017. [Google Scholar] [CrossRef]
  100. Jimenez Marin, L.B. Gene Loss, Co-Option and the Evolution of Developmental Complexity in the Volvocine Algae. Ph.D. Dissertation, Kansas State University, Manhattan, KS, USA, 2023. [Google Scholar]
  101. Ferenci, T. Trade-off Mechanisms Shaping the Diversity of Bacteria. Trends Microbiol. 2016, 24, 209–223. [Google Scholar] [CrossRef]
  102. Lang, G.I.; Murray, A.W.; Botstein, D. The cost of gene expression underlies a fitness trade-off in yeast. Proc. Natl. Acad. Sci. USA 2009, 106, 5755–5760. [Google Scholar] [CrossRef] [PubMed]
  103. Wenger, J.W.; Piotrowski, J.; Nagarajan, S.; Chiotti, K.; Sherlock, G.; Rosenzweig, F. Hunger Artists: Yeast Adapted to Carbon Limitation Show Trade-Offs under Carbon Sufficiency. PLoS Genet. 2011, 7, e1002202. [Google Scholar] [CrossRef] [PubMed]
  104. Wolf, J.B.; Howie, J.A.; Parkinson, K.; Gruenheit, N.; Melo, D.; Rozen, D.; Thompson, C.R.L. Fitness Trade-offs Result in the Illusion of Social Success. Curr. Biol. CB 2015, 25, 1086–1090. [Google Scholar] [CrossRef]
  105. Lee, C.; Raffaghello, L.; Brandhorst, S.; Safdie, F.M.; Bianchi, G.; Martin-Montalvo, A.; Pistoia, V.; Wei, M.; Hwang, S.; Merlino, A.; et al. Fasting Cycles Retard Growth of Tumors and Sensitize a Range of Cancer Cell Types to Chemotherapy. Sci. Transl. Med. 2012, 4, 124ra27. [Google Scholar] [CrossRef] [PubMed]
  106. Raffaghello, L.; Lee, C.; Safdie, F.M.; Wei, M.; Madia, F.; Bianchi, G.; Longo, V.D. Starvation-dependent differential stress resistance protects normal but not cancer cells against high-dose chemotherapy. Proc. Natl. Acad. Sci. USA 2008, 105, 8215–8220. [Google Scholar] [CrossRef] [PubMed]
  107. Nedelcu, A.M.; Michod, R.E. Stress Responses Co-Opted for Specialized Cell Types During the Early Evolution of Multicellularity. BioEssays 2020, 42, 2000029. [Google Scholar] [CrossRef] [PubMed]
  108. Schaap, P. Evolution of developmental signalling in Dictyostelid social amoebas. Curr. Opin. Genet. Dev. 2016, 39, 29–34. [Google Scholar] [CrossRef]
  109. Wagner, G.P.; Erkenbrack, E.M.; Love, A.C. Stress-Induced Evolutionary Innovation: A Mechanism for the Origin of Cell Types. BioEssays 2019, 41, 1800188. [Google Scholar] [CrossRef]
  110. Davison, D.R.; Michod, R.E. Phenotypic Plasticity and Evolutionary Transitions in Individuality. In Phenotypic Plasticity & Evolution: Causes, Consequences, Controversies; Pfennig, D.W., Ed.; CRC Press: Boca Raton, FL, USA, 2021; pp. 241–266. [Google Scholar]
  111. Hamaji, T.; Kawai-Toyooka, H.; Uchimura, H.; Suzuki, M.; Noguchi, H.; Minakuchi, Y.; Toyoda, A.; Fujiyama, A.; Miyagishima, S.; Umen, J.G.; et al. Anisogamy evolved with a reduced sex-determining region in volvocine green algae. Commun. Biol. 2018, 1, 17. [Google Scholar] [CrossRef]
  112. Yamamoto, K.; Hamaji, T.; Kawai-Toyooka, H.; Matsuzaki, R.; Takahashi, F.; Nishimura, Y.; Kawachi, M.; Noguchi, H.; Minakuchi, Y.; Umen, J.G.; et al. Three genomes in the algal genus Volvox reveal the fate of a haploid sex-determining region after a transition to homothallism. Proc. Natl. Acad. Sci. USA 2021, 118, e2100712118. [Google Scholar] [CrossRef]
  113. Yamashita, S.; Arakaki, Y.; Kawai-Toyooka, H.; Noga, A.; Hirono, M.; Nozaki, H. Alternative evolution of a spheroidal colony in volvocine algae: Developmental analysis of embryogenesis in Astrephomene (Volvocales, Chlorophyta). BMC Evol. Biol. 2016, 16, 243. [Google Scholar] [CrossRef]
Figure 1. Select species illustrating volvocine green algae diversity in complexity and individuality. (a) Chlamydomonas reinhardtii (scale bar 10 µm), (b) Gonium pectorale (scale bar 10 µm), (c) Eudorina elegans UTEX 1212 (scale bar 10 µm), (d) Pleodorina californica (scale bar 25 µm), (e) V. carteri f. nagariensis (scale bar 50 µm), and (f) V. carteri regenerator mutant showing dedifferentiated somatic cells (scale bar 50 µm). Images (ae) reproduced from the study by Grochau-Wright et al. [25].
Figure 1. Select species illustrating volvocine green algae diversity in complexity and individuality. (a) Chlamydomonas reinhardtii (scale bar 10 µm), (b) Gonium pectorale (scale bar 10 µm), (c) Eudorina elegans UTEX 1212 (scale bar 10 µm), (d) Pleodorina californica (scale bar 25 µm), (e) V. carteri f. nagariensis (scale bar 50 µm), and (f) V. carteri regenerator mutant showing dedifferentiated somatic cells (scale bar 50 µm). Images (ae) reproduced from the study by Grochau-Wright et al. [25].
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Figure 2. Origin and evolution of the regA gene cluster in volvocine algae. Phylogenetic tree shows relationships between selected volvocine algae species based on topology from the study by Lindsey et al. [35], with families and major clades of volvocine species indicated using brackets on the right. Species in green have obligate somatic cells, while species in black are undifferentiated. The numbers and positions of origins of somatic cells are consistent with the studies by Grochau-Wright et al. [25] and Lindsey et al. [35]. Typical cell numbers for specific species or lineages are indicated above the branches. Currently available regA gene cluster sequences and assemblies are shown to the right. regA and rls genes are shown in green, while nearby syntenic marker gene ACK2/ackB is shown in blue. Gene cluster diagrams show assembly status and completeness but are drawn to maintain alignment of homologs not to scale of actual genomic distances. Note that P. californica is assumed to possess an rlsC gene that has not yet been sequenced. Major events in the evolutionary history of the regA gene cluster marked on phylogeny: R = origin of regA gene cluster, 1 = loss of rlsO, 2 = loss and reduplication of regA, rlsO, and/or rlsB in Y. unicocca, 3 = inversion of regA cluster relative to nearby syntenic genes in P. caudata, and 4 = transformation of rlsO into rlsN through domain duplication.
Figure 2. Origin and evolution of the regA gene cluster in volvocine algae. Phylogenetic tree shows relationships between selected volvocine algae species based on topology from the study by Lindsey et al. [35], with families and major clades of volvocine species indicated using brackets on the right. Species in green have obligate somatic cells, while species in black are undifferentiated. The numbers and positions of origins of somatic cells are consistent with the studies by Grochau-Wright et al. [25] and Lindsey et al. [35]. Typical cell numbers for specific species or lineages are indicated above the branches. Currently available regA gene cluster sequences and assemblies are shown to the right. regA and rls genes are shown in green, while nearby syntenic marker gene ACK2/ackB is shown in blue. Gene cluster diagrams show assembly status and completeness but are drawn to maintain alignment of homologs not to scale of actual genomic distances. Note that P. californica is assumed to possess an rlsC gene that has not yet been sequenced. Major events in the evolutionary history of the regA gene cluster marked on phylogeny: R = origin of regA gene cluster, 1 = loss of rlsO, 2 = loss and reduplication of regA, rlsO, and/or rlsB in Y. unicocca, 3 = inversion of regA cluster relative to nearby syntenic genes in P. caudata, and 4 = transformation of rlsO into rlsN through domain duplication.
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Figure 3. Gene structure diagrams for regA and rlsD in V. carteri f. nagariensis and RLS1 in C. reinhardtii. Exons are shown as boxes with untranslated regions in white and coding regions in black. The portion of the coding region encoding the VARL domain is indicated with striped pattern. Introns are shown as lines between exons, and the 42 bp minimal promoter of regA is shown before first exon and labeled as “P”. regA introns labeled as “E” and “S” denote locations of enhancer and silencer cis-regulatory elements, respectively. Figure based on the study by Kirk [37].
Figure 3. Gene structure diagrams for regA and rlsD in V. carteri f. nagariensis and RLS1 in C. reinhardtii. Exons are shown as boxes with untranslated regions in white and coding regions in black. The portion of the coding region encoding the VARL domain is indicated with striped pattern. Introns are shown as lines between exons, and the 42 bp minimal promoter of regA is shown before first exon and labeled as “P”. regA introns labeled as “E” and “S” denote locations of enhancer and silencer cis-regulatory elements, respectively. Figure based on the study by Kirk [37].
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Figure 4. Alignment of VARL domains in C. reinhardtii and V. carteri. Names of V. carteri VARL domains are shown in bold green font. Conserved regions are annotated above alignment. Variable linker region between N-terminal extension and core VARL SAND domain not shown. Vertical red lines indicate conserved intron positions. Figure adapted from the paper by Duncan et al. [59].
Figure 4. Alignment of VARL domains in C. reinhardtii and V. carteri. Names of V. carteri VARL domains are shown in bold green font. Conserved regions are annotated above alignment. Variable linker region between N-terminal extension and core VARL SAND domain not shown. Vertical red lines indicate conserved intron positions. Figure adapted from the paper by Duncan et al. [59].
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Figure 5. Protein similarity plots for all regA clusters and RLS1/rlsD proteins based on syntenic positions (rlsA, regA, rlsB, rlsO, rlsC, and rlsD). Regions showing high similarity are highlighted with grey boxes. The two peaks in the shaded VARL region represent the N-terminal extension and core VARL domain separated by the less conserved linker region. Reproduced from the study by Grochau-Wright et al. [25].
Figure 5. Protein similarity plots for all regA clusters and RLS1/rlsD proteins based on syntenic positions (rlsA, regA, rlsB, rlsO, rlsC, and rlsD). Regions showing high similarity are highlighted with grey boxes. The two peaks in the shaded VARL region represent the N-terminal extension and core VARL domain separated by the less conserved linker region. Reproduced from the study by Grochau-Wright et al. [25].
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Figure 6. Most common domain architectures in SAND-domain-containing proteins present in the main Viridiplantae and Metazoa lineages showing differences in domain architectures between green alga/plant and animal SAND-containing proteins (various colors indicate the different domains found in specific proteins and lineages; for domain names see the study by Nedelcu [71]). Examples of proteins with known functions are indicated in parentheses. Adapted from the study by Nedelcu [71].
Figure 6. Most common domain architectures in SAND-domain-containing proteins present in the main Viridiplantae and Metazoa lineages showing differences in domain architectures between green alga/plant and animal SAND-containing proteins (various colors indicate the different domains found in specific proteins and lineages; for domain names see the study by Nedelcu [71]). Examples of proteins with known functions are indicated in parentheses. Adapted from the study by Nedelcu [71].
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Figure 7. Unrooted eukaryotic tree (adapted from the study by Keeling & Burki [75]) showing the phylogenetic distribution of SAND sequences (red dots indicate occurrence and the hypothesized lateral gene transfer (red arrow) from a green algal ancestor to an early metazoan (adapted from [71]). For further discussion on the postulated lateral gene transfer, see the study by Nedelcu [71].
Figure 7. Unrooted eukaryotic tree (adapted from the study by Keeling & Burki [75]) showing the phylogenetic distribution of SAND sequences (red dots indicate occurrence and the hypothesized lateral gene transfer (red arrow) from a green algal ancestor to an early metazoan (adapted from [71]). For further discussion on the postulated lateral gene transfer, see the study by Nedelcu [71].
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Figure 8. Co-option of a life history gene (e.g., RLS1) that traded off reproduction for survival in a single-celled ancestor into a regulator of soma/germ cell differentiation (e.g., regA) in a multicellular descendant by changing its expression from a temporal context (in response to an environmental cue) into a spatial context (in response to a developmental cue). The co-opted gene is inactive in reproductive germ cells but becomes active in somatic cells during development. Adapted from the study by Nedelcu and Michod [17].
Figure 8. Co-option of a life history gene (e.g., RLS1) that traded off reproduction for survival in a single-celled ancestor into a regulator of soma/germ cell differentiation (e.g., regA) in a multicellular descendant by changing its expression from a temporal context (in response to an environmental cue) into a spatial context (in response to a developmental cue). The co-opted gene is inactive in reproductive germ cells but becomes active in somatic cells during development. Adapted from the study by Nedelcu and Michod [17].
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Figure 9. (A) Two potential scenarios envisioning the co-option of an ancestral environmentally regulated RLS1/rlsD-like gene into a developmentally regulated regA, involving either (i) the replacement of the ancestral environmental regulation or (ii) the addition of a new layer of regulation. (B) Two models to account for the observed dual regulation (environmental and developmental) of regA in V. carteri involving (i) the acquisition of a new signal transduction pathway and regulatory element (RE2) or (ii) the co-option of the environmentally induced intracellular signal and regulatory element (RE1). Adapted from König & Nedelcu [24].
Figure 9. (A) Two potential scenarios envisioning the co-option of an ancestral environmentally regulated RLS1/rlsD-like gene into a developmentally regulated regA, involving either (i) the replacement of the ancestral environmental regulation or (ii) the addition of a new layer of regulation. (B) Two models to account for the observed dual regulation (environmental and developmental) of regA in V. carteri involving (i) the acquisition of a new signal transduction pathway and regulatory element (RE2) or (ii) the co-option of the environmentally induced intracellular signal and regulatory element (RE1). Adapted from König & Nedelcu [24].
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Grochau-Wright, Z.I.; Nedelcu, A.M.; Michod, R.E. The Genetics of Fitness Reorganization during the Transition to Multicellularity: The Volvocine regA-like Family as a Model. Genes 2023, 14, 941. https://doi.org/10.3390/genes14040941

AMA Style

Grochau-Wright ZI, Nedelcu AM, Michod RE. The Genetics of Fitness Reorganization during the Transition to Multicellularity: The Volvocine regA-like Family as a Model. Genes. 2023; 14(4):941. https://doi.org/10.3390/genes14040941

Chicago/Turabian Style

Grochau-Wright, Zachariah I., Aurora M. Nedelcu, and Richard E. Michod. 2023. "The Genetics of Fitness Reorganization during the Transition to Multicellularity: The Volvocine regA-like Family as a Model" Genes 14, no. 4: 941. https://doi.org/10.3390/genes14040941

APA Style

Grochau-Wright, Z. I., Nedelcu, A. M., & Michod, R. E. (2023). The Genetics of Fitness Reorganization during the Transition to Multicellularity: The Volvocine regA-like Family as a Model. Genes, 14(4), 941. https://doi.org/10.3390/genes14040941

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