Diversity of Genetic and Vegetative Compatibility Group of Colletotrichum coccodes Isolates from Chile Using Amplified Fragment Length Polymorphism Markers
by
,
Kholoud M. Alananbeh
1,*,
Viviana Rivera
2,
Ivette Acuña Bravo
3,
Gary Secor
2 and
Neil C. Gudmestad
2 1
Department of Plant Protection, School of Agriculture, The University of Jordan, Amman 11942, Jordan
2
Department of Plant Pathology, North Dakota State University, Fargo, ND 58108, USA
3
INIA Remehue-Ruta 5, Osorno 5290000, Chile
*
Author to whom correspondence should be addressed.
J. Fungi 2024, 10(3), 200; https://doi.org/10.3390/jof10030200
Submission received: 15 January 2024
/
Revised: 17 February 2024
/
Accepted: 25 February 2024
/
Published: 6 March 2024
(This article belongs to the Special Issue Fungal Plant Pathogens)
Abstract
:Colletotrichum coccodes (Wallr.) Hughes is an asexual fungus with five vegetative compatibility groups. It was postulated that C. coccodes was isolated at the center of origin of potato at one time, and due to the movement of potato around the globe, the fungus was established on each continent but became bottlenecked and genetically unable to form stable heterokaryons via vegetative compatibility grouping (VCG) studies. The objectives of this study were (i) to determine if the VCGs around the world are related to the VCGs in Chile, (ii) to determine the diversity of C. coccodes populations in Chile, and (iii) to find any evidence for a cryptic sexual life cycle for this fungus. Worldwide C. coccodes populations have been found to be genetically correlated and belong to one or more C. coccodes-identified VCGs. The most distributed VCG in Chile was VCG2, which is the most common VCG in North America. We hypothesize that one or more VCGs had spread from Chile to the rest of the world. Precautions and further studies should be investigated by using other molecular markers and gene sequencing.
1. Introduction
Colletotrichum coccodes (Wallr.) Hughes is a cosmopolitan imperfect fungus that causes black dot in potato, a serious blemish disease with a worldwide distribution [1,2]. It is also involved in the early dying complex of potato, capable of causing root and belowground degradation [3,4]. On culture media, C. coccodes is characterized by its white aerial sparse mycelium, abundant black sclerotia, and acervuli production [5,6]. C. coccodes exchanges its genetic materials through anastomosis with another fungal strain from the same group, a process called vegetative compatibility. Through this process, asexual fungi can be placed into similar clusters called vegetative compatibility groups (VCGs) [7]. Isolates that form stable heterokaryons after anastomosis are considered to be identical and are regarded as belonging to the same VCG [7]. Many VCGs have been identified for C. coccodes consisting of multiple populations from different geographic origins, i.e., North America, Europe, and Australia [8,9,10,11]. Both traditional [8,9,11] and molecular [12,13,14] methods have been used to efficiently differentiate these VCGs. However, many limitations have been reported for traditional techniques [15,16]. Analysis of VCGs using amplified fragment length polymorphism (AFLP) analysis was found capable of differentiating the North American C. coccodes population into five groups, almost completely agreeing with the traditional VCG method [12]. Using AFLP analysis, NA-VCG4 and NA-VCG5, and NA-VCG6 and NA-VCG7 could not be separated, because of their high genetic similarity [13]. A global study conducted to determine the relationship of C. coccodes populations originating from different geographic origins demonstrated that the global population is closely related at the molecular genetics level. However, geographic isolation was significant [13], a reason that could be speculated for vegetative incompatibility [10] or limited complementation among isolates of C. coccodes originating from different continents [8].
For the last 60 years, the center of origin of potato was hypothesized to be from the Andes. However, a recent molecular study [17] presented the first evidence that lowland Chile is the center of origin of potato. It is postulated that the C. coccodes population was isolated at the center of origin of potato at one time, and due to the movement of potato around the globe, the fungus became established on each continent. However, due to the lack of intermixing, C. coccodes populations on a continent became bottlenecked. This would likely occur when a small population of C. coccodes is introduced into a continent; any genetic drift can occur quickly, thereby reducing genetic variation due to the small population size. The main objectives of this study were (i) to determine if selected C. coccodes isolates from across the globe are related to isolates of this fungus that originate from the center of origin of potato using amplified fragment length polymorphism markers (AFLP), (ii) to determine the diversity of C. coccodes populations in Chile, and (iii) to determine if there is evidence for a cryptic sexual life cycle for this asexual fungus.
2. Materials and Methods
2.1. Colletotrichum coccodes Isolates
A total of 148 C. coccodes isolates were used in this study (Table 1). Of the 148 isolates, there were 99 isolates from Chile representing four locations (Chiloe Island, Osorno, La Union, and Puerto Montt) (Table S1). These isolates were recovered from 14 potato cultivars (Clavela, Desirée, Michuña negra, Michuña roja, Murta, Pie, Pukará, Romano, Asterix, Cardinal, Karú, Patagonia, Yagana, and Rosara). Twenty isolates previously characterized from the North American C. coccodes population were also used [12]. Additionally, 13 tester isolates representing the seven NA-VCGs were included. Five, three, and eight isolates from Australia [8], South Africa (Lahkim, T (Unpublished)), and Europe [9,11], respectively, were included. These isolates were previously assigned into their VCGs based on AFLP analysis [13]. For the Chilean population, isolates were collected and preserved as frozen colonized silica gel crystals [18]. Isolates were plated on potato dextrose agar and visually examined to ensure they were free from contamination [19].
2.2. DNA Extraction
Colletotrichum coccodes isolates were grown in Richard’s solution [20] and processed as previously described [13]. Cetyltrimethyl ammonium bromide (CTAB) [21] was used for DNA extraction. DNA quantity and purity were assessed using a Nanodrop 2000c (Thermo Fisher Scientific Inc., Waltham, MA, USA) and agarose gel visualization. DNA quantities were diluted to a 100 ng/μL concentration.
2.3. Molecular Confirmation
Colletotrichum coccodes isolates from Chile were confirmed for species using Cc1NF1 and Cc2nR1 primers [22]. C. coccodes tester strain (C501, NA-VCG7) and blank water were used as positive and negative controls, respectively. Internal transcribed spacer (ITS) region [23] was amplified for 143 isolates (Australia, 5; Chile, 96; Europe, 8; South Africa, 1; USA; and its testers, 33) (Table S1). All Chilean isolates used in this study yielded the 349 bp polymorphic DNA band [22]. Sequences were edited by BioEdit Sequence Alignment Editor software 95/98/NT [24] to create the consensus sequence from the forward and reverse sequences and aligned using MultiAlin [25] and BLASTn [26] on http://www.ncbi.nlm.nih.gov (accessed on 5 August 2013). Sequences were submitted to the Gene Bank and accession numbers JX293923–JX294064 were obtained (Table S1).
2.4. AFLP Assays
AFLP assays [27] were performed using AFLP kit (Li-Cor, Lincoln, NE, USA) according to the manufacturer’s instructions. Template DNA was digested with EcoRI and MseI restriction enzymes, ligated with adapters, and pre-amplified using EcoRI and MseI primers. Three selective primers [12] labeled with fluorescent dyes 6-FAM, HEX, and NED were used for selective amplification. Products were separated using automated DNA sequencer (3130xl Genetic Analyzer; Applied Biosystems, Waltham, MA, USA). Data analysis was performed using Genemapper Software Version 4.0 (Applied Biosystems, USA). To ensure reproducibility of the AFLP results, 16 DNA samples were digested, ligated, pre-amplified, and amplified three times each. Blank water was also used as the negative control.
2.5. Cluster Analysis
2.6. Population Genetics Statistics
Data generated from the 456 loci were analyzed using GenAlex 6.3 software [29], POPGENE version 1.32 [30], and Multilocus 1.3 b software [31]. The number and percentage of polymorphic loci, Nei’s gene diversity (h), number of distinct genotypes (G), genotypic diversity (GD), linkage disequilibrium (LD), number of different bands, number of bands unique to a single population, population differentiation across the loci, analysis of molecular variance (AMOVA), and genotypic diversity versus number of loci were all calculated. AMOVA was conducted for the 135 C. coccodes as a global population; for isolates from Chile, analysis was based on both the locations and potato cultivars from which the isolates were obtained, and on the clusters obtained through cluster analysis. The variance was partitioned into two covariance components of Phi (Ф) fixation indices (ФRT and ФPT) with a level of significance of p < 0.05 and 1000 permutations [32].
3. Results
3.1. AFLP Analysis
The three selective amplification primers used in this study generated 456 putative loci, 143 loci for EcoRI-AC/MseI-C, 152 for EcoRI-AG/MseI-C, and 161 for EcoRI-AT/MseI-C. EcoRI-AC/MseI-C had 97.2% of polymorphism and a gene diversity of 0.30, EcoRI-AG/MseI-C had 98.68% of polymorphism and a gene diversity of 0.31, and EcoRI-AT/MseI-C had 98.76% of polymorphism and a gene diversity of 0.30. The three primer set data were combined for further analysis due to their close values of gene diversity and percentage of polymorphic loci.
3.2. Cluster Analysis
Cluster analysis based on 1000 bootstraps and UPGMA separated C. coccodes isolates into seven clusters (Figure 1, Figure S1). The differentiation among the seven clusters was very high (0.43) (Table 2). Isolates were assigned based on their clustering with known NA-VCG tester strains. Cluster 7c had isolates belonging to NA-VCG1. This cluster had 18 isolates: 13 from Chile, 3 from the USA, and 2 from Europe (Table 3). Clusters 1, 2, 3, 5, and 7b belonged to NA-VCG2 (Figure 1). In this cluster, there were 63 isolates: 58 from Chile and 5 from the USA (Table 3). Clusters 2 and 3 had isolates only from Chile but showed the highest similarity (88%) to NA-VCG2. Fourteen isolates belonging to NA-VCG3 were found in cluster 7a, including twelve from Chile and two from the USA. For NA-VCG4/5, 24 isolates were assigned to cluster 6. It included nine isolates from Chile, three from the USA, five from Australia, two from South Africa, and five from Europe (Table 3). Finally, for NA-VCG6/7, the very distinctive group, 16 isolates were assigned to cluster 4. This group included seven isolates from Chile, seven from the USA, one from South Africa, and one from Europe (Table 3).
Excluding the tester isolates, NA-VCG2 had the highest number of isolates for the Chilean population, containing 58 out of the 99 isolates, followed by NA-VCG1 and NA-VCG3. The NA-VCG6/7 group had the lowest number of isolates from Chile (Table 3).
For principal coordinate analysis, the first three axes explained most of the variability in the C. coccodes population studied for the global population, the 2 Chilean locations, and 12 potato Chilean cultivars (Figure 2). The isolates belonging to NA-VCG6/7 were distinct from the rest of the VCGs in the three PCoA analyzed (Figure 2) and are consistent with UPGMA cluster analysis (Figure 1).
3.3. Population Genetics Statistics of C. coccodes Populations
Considering C. coccodes as one population (n = 135), both total genetic diversity (Ht = 0.26) and gene diversity within a regional population (Hs = 0.22) were relatively high. These values were similar to the values obtained when merging the three AFLP selective primer pair data. The number of polymorphic loci was high (n = 449) for the 135 C. coccodes isolates (Table 4). The gene diversity (h) ranged from 0.02 in Australia to 0.31 in the USA. C. coccodes isolates from the two locations and the 12 potato cultivars in Chile also showed high gene diversity. Gene diversity was 0.25 and 0.29 for Chiloe Island and Osorno locations and ranged from 0.0.18 to 0.29 for Murta and Pukara cultivars, respectively (Table 4). There was a high number of distinct genotypes in all the C. coccodes populations tested (G = 122). Genotypic diversity was also high, and it ranged between 0.95 and 1.00% in all the populations (Table 4). Linkage disequilibrium values were low for the C. coccodes populations but was significantly different from zero (p < 0.01), suggesting no random association of alleles in either of these populations. However, Australian, European, and South African isolates showed very high LD values. This can be attributed to the low number of isolates used from these regions.
As a global population, Chile and USA populations had 15 and 21 unique bands, respectively. Based on two locations in Chile, Osorno had a high number of unique bands (59) compared to Chiloe Island (7) (Table 4). Similarly, the C. coccodes population obtained from the potato cultivar, Asterix, had five unique bands compared to the other 13 cultivars. The differentiation among the five global populations (Gst = 0.22) and the two locations in Chile (Gst = 0.26) was relatively high. However, the differentiation among the 12 cultivars was highest (Gst = 0.426).
AMOVA showed that there was 13% of variation that originated from variations between geographic origins (ФPT, p = 0.006), 1% of variation between the two Chilean locations (p = 0.203), and 2% between the 12 Chilean potato cultivars studied (p = 0.043) (Table 2).
Pairwise comparisons of population genetic identity and genetic distance among the five geographic regions (Australia, Chile, Europe, South Africa, and the USA) and for the four Chilean populations (Chiloe Island, La Union, Osorno, and Peurto Montt) were not reliable, due to the unbalanced sample size among them, and are thus not presented or discussed. For potato cultivars, genetic similarity values ranged from 0.74 between Karu and Michuna Roja cultivars to 0.98 between Asterix and Desiree cultivars (Table 5).
4. Discussion
This study was conducted to determine the similarity of the global population of C. coccodes isolates to those obtained from the Chilean population using AFLP markers. Ninety-nine isolates representing four locations and 12 cultivars in Chile were used. AFLP markers could differentiate and cluster the isolates into their presumptive VCGs. However, not every VCG was found in distinct clusters, i.e., VCG2 was found in four clusters. The three selective AFLP primers were polymorphic and informative, confirming the results from previous studies [12,13,14].
Previous studies suggested that C. coccodes populations are distinct by continent [9,10,11] based on nitrate nonutilizing mutant vegetative compatibility grouping. However, a very small number of isolates from North America, Australia, and Europe successfully anastomosed [8]. C. coccodes populations from four regions (Australia, North America, Europe, and South Africa) showed that these populations intermingled with the North American population, but geographic isolation was likely the reason that they could be distinguished since they formed distinct sub-clusters within the main clusters [13]. That study speculated that the global C. coccodes is genetically similar, and to demonstrate that, isolates from Chile were used here. The isolates from Chile clustered successfully with the North American and the global population. Interestingly, the Chilean population was 96% genetically similar to the North American population, a population that had most of its isolates belonging to NA-VCG2 [13,14]. Similarly, the Chilean population had its highest number of isolates (n = 58) belonging to NA-VCG2.
Interestingly, the Chilean population has a high genetic diversity among locations and among potato cultivars. The Andean origin hypothesis for European potato has been widely accepted over the last 60 years; however, all the modern potato cultivars have Chilean germplasm attributed to breeding activities involving Chilean landraces. Asexual fungi are expected to have low genotypic diversity [33]. In our study, gene diversity, genotypic diversity, and the number of distinct genotypes were very high and similar to the values found in the global populations of C. coccodes from Australia, Europe, North America, and South Africa [13]. This suggests either a possibility of a cryptic sexual cycle [34] for C. coccodes and/or a high level of gene flow due to the introduction of the pathogen [35]. The significant linkage disequilibrium values obtained here and in the previous studies [13] support the hypothesis of a cryptic sexual cycle in C. coccodes. However, many factors should be considered when suggesting sexual reproduction such as admixtures of differentiated genetic isolates, bottlenecks, rapid population expansion, and AFLP homoplasy [34]. However, a cryptic life cycle is not new for asexual fungi. Previous population genetic studies provided the existence of sexual reproduction [36], recombination [37,38,39], and parasexuality in asexual fungi [40]. The hypothesized cryptic sexual cycle should be further investigated by other molecular markers and gene sequencing. Additionally, geographic isolation that can cause genetic differentiation among the global regions would be expected to create less genotype flow [13], which also supports the possibility for a cryptic sexual life cycle.
As previously postulated, the C. coccodes population was isolated at the potato center of origin at one time and the fungus became established on each continent when the potato was disseminated. Limited genetic diversity and rapid spread are typical conditions for considering any pathogen as clonal and introduced [35]. For example, Phytophthora cinnamomi in Australia and South Africa and P. ramorum in the USA and Europe were considered introduced pathogens with low genetic diversity [41,42,43]. Chilean C. coccodes populations are characterized by their high genetic diversity and the existence of the five VCGs that were previously characterized by AFLP analysis [12,13] with a high number of isolates belonging to NA-VCG2. Similarly, the USA has a high gene diversity and VCG diversity compared to the Chilean C. coccodes population. Australian, European, and South African C. coccodes isolates belong to Na-VCG4/5 and NA-VCG6/7, and they had low gene diversity except for South African isolates due to the low number of isolates studied [13]. These findings support that the C. coccodes population is genetically similar (96%) to the USA population. These findings support the possibility for a cryptic life cycle in Chile and the USA and/or high gene flow among South and North America that caused the high gene diversity.
As previously reported, AFLPs proved to be an effective means to study the global diversity of C. coccodes. However, using more selective primers, co-dominant markers such as SSRs and/or multiple gene and multilocus phylogenetics sequencing would provide greater insights into the phylogeny and population biology of this fungus. Future work will concentrate on genotyping by sequencing and phylogenetic analysis to determine whether multiple gene sequencing could efficiently differentiate the different C. coccodes VCGs. Additionally, this study confirms the potential of identifying durable resistance to C. coccodes that would be globally useful in managing black dot of potato. Additionally, NA-VCG2 and NA-VCG4/5 have high genetic similarity, so selecting durable resistance against one of these groups could be effective on a wide scale [13].
In conclusion, the global population of C. coccodes is genetically correlated and belongs to one or more of these fungus identified VCGs: VCG1, VCG2, VCG3, VCG4/5, and VCG6/7. The results of this study strongly suggest that the Chilean C. coccodes population has high genetic diversity within its population. The most distributed VCG in Chile was VCG2, which is similar to the most common VCG in North America. In comparison, previous studies determined that VCG4/5 was the most common VCG in Europe and Australia [13].
Supplementary Materials
The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/jof10030200/s1. Figure S1: Consensus tree for 148 C. coccodes isolates used in this study. The tree was executed using WinBoot software with 1000 bootstraps. Table S1. Detailed information for Colletotrichum coccodes isolates amplified using the internal transcribed spacer and their accession numbers on National Center for Biological Information (NCBI).
Author Contributions
Conceptualization, N.C.G., K.M.A. and G.S.; methodology, K.M.A., V.R., I.A.B. and G.S.; software, K.M.A.; validation, K.M.A.; investigation, K.M.A.; resources, N.C.G.; data curation, K.M.A.; writing—original draft preparation, K.M.A.; writing—review and editing, N.C.G., G.S. and V.R.; supervision, N.C.G.; project administration, N.C.G.; funding acquisition, N.C.G. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by Minnesota Area II Potato Growers Association.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Data are contained within the article and Supplementary Materials.
Conflicts of Interest
The authors declare no conflicts of interest.
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Figure 1.
Cluster analysis of the 135 isolates of C. coccodes from five different regions and 13 NA-VCG tester strains. Dendogram was generated through WINBOOT software 6.1 with 1000 bootstraps. Cluster analysis was generated based on an isolate’s relationship to a known NA-VCGs a. a Detailed information pertaining to isolate names, testers, and NA VCG assignments is provided in Supplementary Materials (Figure S1).
Figure 1.
Cluster analysis of the 135 isolates of C. coccodes from five different regions and 13 NA-VCG tester strains. Dendogram was generated through WINBOOT software 6.1 with 1000 bootstraps. Cluster analysis was generated based on an isolate’s relationship to a known NA-VCGs a. a Detailed information pertaining to isolate names, testers, and NA VCG assignments is provided in Supplementary Materials (Figure S1).
Figure 2.
Principal coordinates analysis for 135 C. coccodes isolates. (a) Global population (n = 135), (b) two locations in Chile, and (c) 12 potato cultivars in Chile. For the global population, coordinate axis 1 explains 39.35% of the variation, coordinate axis 2 explains 27.86% of the variation, and coordinate 3 explains 18.98% of the variation. For the two Chilean locations, coordinate axis 1 explains 46.23% of the variation, coordinate axis 2 explains 23.68% of the variation, and coordinate 3 explains 12.34% of the variation. For the 12 Chilean potato cultivars, coordinate axis 1 explains 45.88% of the variation, coordinate axis 2 explains 23.93% of the variation, and coordinate 3 explains 12.38% of the variation.
Figure 2.
Principal coordinates analysis for 135 C. coccodes isolates. (a) Global population (n = 135), (b) two locations in Chile, and (c) 12 potato cultivars in Chile. For the global population, coordinate axis 1 explains 39.35% of the variation, coordinate axis 2 explains 27.86% of the variation, and coordinate 3 explains 18.98% of the variation. For the two Chilean locations, coordinate axis 1 explains 46.23% of the variation, coordinate axis 2 explains 23.68% of the variation, and coordinate 3 explains 12.34% of the variation. For the 12 Chilean potato cultivars, coordinate axis 1 explains 45.88% of the variation, coordinate axis 2 explains 23.93% of the variation, and coordinate 3 explains 12.38% of the variation.
Table 1.
Colletotrichum coccodes isolates from different geographic origins used in this study.
| Country | Location | Cultivar | No. Isolates |
|---|---|---|---|
| Chile, South America 1 | Coñab, Achao, Chiloe Island | Clavela | 3 |
| Coñab, Achao, Chiloe Island | Desirée | 9 | |
| Coñab, Achao, Chiloe Island | Michuña negra | 5 | |
| Coñab, Achao, Chiloe Island | Michuña roja | 1 | |
| Coñab, Achao, Chiloe Island | Murta | 3 | |
| Coñab, Achao, Chiloe Island | Pie | 5 | |
| Coñab, Achao, Chiloe Island | Pukará | 9 | |
| Coñab, Achao, Chiloe Island | Romano | 9 | |
| Remehue, Osorno | Asterix | 10 | |
| Remehue, Osorno | Cardinal | 8 | |
| Remehue, Osorno | Desirée | 6 | |
| Remehue, Osorno | Karú | 7 | |
| Remehue, Osorno | Patagonia | 9 | |
| Remehue, Osorno | Yagana | 13 | |
| Rapaco, La Union | Desirée | 1 | |
| Nueva Braunau, Puerto Montt | Rosara | 1 | |
| USA, North America 2 | 20 | ||
| Australia 3 | 5 | ||
| South Africa | 3 | ||
| Europe | 8 | ||
| Testers 4 | 13 | ||
| Total | 148 |
Table 2.
Analysis of molecular variance (AMOVA) for C. coccodes populations.
| Source of Variation | df | Est. Var. a | % | Ф Value | p (Rand ≥ Data) b |
|---|---|---|---|---|---|
| Based on geographic origin c | |||||
| Among populations (ФPT) d | 4 | 9.99 | 13% | 0.134 | 0.006 |
| Within populations | 130 | 64.80 | 87% | ||
| Chile population | |||||
| |||||
| Among locations (ФPT) | 1 | 0.34 | 1 | 0.006 | 0.203 |
| Within locations | 95 | 65.94 | 99 | ||
| |||||
| Among cultivars (ФPT) | 11 | 1.46 | 2 | 0.022 | 0.043 |
| Within cultivars | 85 | 64.67 | 98 | ||
| For clusters | |||||
| Among clusters (ФPT) | 4 | 34.38 | 43 | 0.434 | 0.001 |
| Within clusters | 130 | 44.8 | 57 |
a Estimated variation using GenAlex 6.3 software. b Probability of obtaining low Phi values was determined by 1000 permutations. c C. coccodes was partitioned into five populations (the USA, Australia, Europe, and South Africa) and four regions (America, South Africa, Australia, and Europe). The sample size of these geographic populations was unbalanced. d PhiPT was calculated as the proportion of estimated variance among populations, relative to the total estimated variance.
Table 3.
Assigning of the 135 C. coccodes isolates into their VCGs based on clustering with known NA-VCG tester strains.
Table 3.
Assigning of the 135 C. coccodes isolates into their VCGs based on clustering with known NA-VCG tester strains.
| VCG | Geographic Origin | |||||
|---|---|---|---|---|---|---|
| Chile | USA | Australia | South Africa | Europe | Total | |
| NA-VCG1 | 13 | 3 | 0 | 0 | 2 | 18 |
| NA-VCG2 | 58 | 5 | 0 | 0 | 0 | 63 |
| NA-VCG3 | 12 | 2 | 0 | 0 | 0 | 14 |
| NA-VCG4/5 | 9 | 3 | 5 | 2 | 5 | 24 |
| NA-VCG6/7 | 7 | 7 | 0 | 1 | 1 | 16 |
| Total | 99 | 20 | 5 | 3 | 8 | 135 |
Table 4.
Genetic variation statistics for the 456 loci from C. coccodes isolates based on geographic differentiation among continents, two locations, and 12 potato cultivars in Chile.
Table 4.
Genetic variation statistics for the 456 loci from C. coccodes isolates based on geographic differentiation among continents, two locations, and 12 potato cultivars in Chile.
| Country | Sample Size | No. Polymorphic Loci a | % a | h b | G c | GD d | LD e | No. Unique Bands f | |
|---|---|---|---|---|---|---|---|---|---|
| One population h | 135 g | 449 | 98.46 | 0.21 | 122 | 0.99 | 0.06 | - | |
| Australia | 5 | 26 | 5.70 | 0.02 | 4 | 0.90 | 0.27 | 0 | |
| Europe | 8 | 283 | 62.06 | 0.19 | 8 | 1 | 0.29 | 0 | |
| South Africa | 3 | 206 | 45.18 | 0.20 | 3 | 1 | 0.76 | 0 | |
| USA, North America | 20 | 420 | 92.11 | 0.31 | 16 | 0.97 | 0.08 | 21 | |
| Chile, South America | 99 | 426 | 93.42 | 0.28 | 94 | 0.99 | 0.06 | 15 | |
| Based on location | Chiloe island | 35 | 365 | 80.04 | 0.25 | 35 | 1 | 0.06 | 7 |
| Osorno | 62 | 418 | 91.67 | 0.29 | 57 | 0.99 | 0.06 | 59 | |
| La Union | 1 | - | - | - | - | - | - | - | |
| Puerto Montt | 1 | - | - | - | - | - | - | - | |
| Based on cultivar | Asterix | 10 | 345 | 75.66 | 0.28 | 10 | 1 | 0.08 | 5 |
| Cardinal | 8 | 313 | 68.64 | 0.24 | 7 | 0.96 | 0.13 | 0 | |
| Clavela | 3 | 209 | 45.83 | 0.20 | 3 | 1 | 0.30 | 1 | |
| Desiree | 16 | 341 | 74.78 | 0.26 | 16 | 1 | 0.09 | 1 | |
| Karu | 7 | 308 | 67.54 | 0.27 | 6 | 0.95 | 0.17 | 0 | |
| Michuna negra | 5 | 242 | 53.07 | 0.22 | 5 | 1 | 0.03 | 1 | |
| Michuna roja | 1 | - | - | - | - | - | - | - | |
| Murta | 3 | 189 | 41.15 | 0.18 | 3 | 1 | -0.002 | 0 | |
| Patagonia | 9 | 275 | 60.31 | 0.21 | 9 | 1 | 0.09 | 1 | |
| Pie | 5 | 291 | 63.82 | 0.25 | 5 | 1 | 0.06 | 0 | |
| Pukara | 9 | 373 | 81.80 | 0.29 | 8 | 0.97 | 0.12 | 0 | |
| Romano | 9 | 271 | 59.43 | 0.20 | 9 | 1 | 0.09 | 0 | |
| Rosara | 1 | - | - | - | - | - | - | - | |
| Yagana | 13 | 325 | 71.27 | 0.27 | 11 | 0.97 | 0.12 | 1 |
a The percentage of polymorphic loci; b h: Nei’s gene diversity; c G: number of distinct genotypes; d GD: genotypic diversity; e measurement of linkage disequilibrium (LD), all values were significant from zero (p < 0.01) except for Murta cultivar; f no. unique bands: no. of bands unique to a single population; g tester strains were excluded from this analysis; h all isolates from the different countries were analyzed as one population (n = 135) without the tester isolates.
Table 5.
Pairwise comparison matrix of Nei genetic identity (above the asterisks) and Nei genetic distance (below the asterisks) for the 135 C. coccodes populations from 14 potato cultivars in Chile.
Table 5.
Pairwise comparison matrix of Nei genetic identity (above the asterisks) and Nei genetic distance (below the asterisks) for the 135 C. coccodes populations from 14 potato cultivars in Chile.
| Potato Cultivar | Asterix | Cardinal | Clavela | Desiree | Karu | Michuna Negra | Michuna Roja | Murta | Patagonia | Pie | Pukara | Romano | Rosara | Yagana |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Asterix | **** | 0.95 | 0.93 | 0.98 | 0.93 | 0.95 | 0.82 | 0.95 | 0.95 | 0.97 | 0.94 | 0.96 | 0.83 | 0.97 |
| Cardinal | 0.06 | **** | 0.92 | 0.95 | 0.94 | 0.93 | 0.81 | 0.93 | 0.95 | 0.94 | 0.94 | 0.95 | 0.84 | 0.95 |
| Clavela | 0.07 | 0.08 | **** | 0.94 | 0.88 | 0.92 | 0.83 | 0.92 | 0.93 | 0.93 | 0.91 | 0.93 | 0.84 | 0.92 |
| Desiree | 0.02 | 0.05 | 0.06 | **** | 0.93 | 0.95 | 0.81 | 0.95 | 0.95 | 0.96 | 0.93 | 0.96 | 0.83 | 0.97 |
| Karu | 0.07 | 0.06 | 0.13 | 0.07 | **** | 0.89 | 0.74 | 0.90 | 0.89 | 0.91 | 0.92 | 0.90 | 0.76 | 0.93 |
| Michuna Negra | 0.05 | 0.07 | 0.09 | 0.06 | 0.12 | **** | 0.81 | 0.94 | 0.96 | 0.96 | 0.94 | 0.93 | 0.88 | 0.96 |
| Michuna Roja | 0.20 | 0.21 | 0.19 | 0.21 | 0.30 | 0.21 | **** | 0.78 | 0.86 | 0.86 | 0.82 | 0.85 | 0.77 | 0.78 |
| Murta | 0.05 | 0.07 | 0.09 | 0.05 | 0.11 | 0.07 | 0.25 | **** | 0.95 | 0.93 | 0.93 | 0.95 | 0.86 | 0.94 |
| Patagonia | 0.06 | 0.05 | 0.07 | 0.06 | 0.11 | 0.05 | 0.16 | 0.05 | **** | 0.96 | 0.95 | 0.95 | 0.91 | 0.94 |
| Pie | 0.03 | 0.06 | 0.07 | 0.04 | 0.09 | 0.04 | 0.15 | 0.07 | 0.04 | **** | 0.94 | 0.95 | 0.84 | 0.96 |
| Pukara | 0.06 | 0.06 | 0.10 | 0.07 | 0.08 | 0.06 | 0.20 | 0.07 | 0.05 | 0.06 | **** | 0.93 | 0.88 | 0.94 |
| Romano | 0.04 | 0.05 | 0.07 | 0.04 | 0.10 | 0.07 | 0.17 | 0.05 | 0.05 | 0.05 | 0.07 | **** | 0.85 | 0.93 |
| Rosara | 0.19 | 0.17 | 0.18 | 0.18 | 0.27 | 0.13 | 0.26 | 0.15 | 0.09 | 0.17 | 0.13 | 0.16 | **** | 0.84 |
| Yagana | 0.03 | 0.05 | 0.08 | 0.03 | 0.07 | 0.04 | 0.25 | 0.06 | 0.06 | 0.04 | 0.07 | 0.07 | 0.18 | **** |
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Alananbeh, K.M.; Rivera, V.; Bravo, I.A.; Secor, G.; Gudmestad, N.C. Diversity of Genetic and Vegetative Compatibility Group of Colletotrichum coccodes Isolates from Chile Using Amplified Fragment Length Polymorphism Markers. J. Fungi 2024, 10, 200. https://doi.org/10.3390/jof10030200
AMA Style
Alananbeh KM, Rivera V, Bravo IA, Secor G, Gudmestad NC. Diversity of Genetic and Vegetative Compatibility Group of Colletotrichum coccodes Isolates from Chile Using Amplified Fragment Length Polymorphism Markers. Journal of Fungi. 2024; 10(3):200. https://doi.org/10.3390/jof10030200
Chicago/Turabian StyleAlananbeh, Kholoud M., Viviana Rivera, Ivette Acuña Bravo, Gary Secor, and Neil C. Gudmestad. 2024. "Diversity of Genetic and Vegetative Compatibility Group of Colletotrichum coccodes Isolates from Chile Using Amplified Fragment Length Polymorphism Markers" Journal of Fungi 10, no. 3: 200. https://doi.org/10.3390/jof10030200
APA StyleAlananbeh, K. M., Rivera, V., Bravo, I. A., Secor, G., & Gudmestad, N. C. (2024). Diversity of Genetic and Vegetative Compatibility Group of Colletotrichum coccodes Isolates from Chile Using Amplified Fragment Length Polymorphism Markers. Journal of Fungi, 10(3), 200. https://doi.org/10.3390/jof10030200
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