Next Article in Journal
Causal Associations of Glaucoma and Age-Related Macular Degeneration with Cataract: A Bidirectional Two-Sample Mendelian Randomisation Study
Previous Article in Journal
Extrachromosomal Circular DNA: An Emerging Potential Biomarker for Inflammatory Bowel Diseases?
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Genes
Volume 15
Issue 4
10.3390/genes15040411
genes-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Genome-Wide Association Study Uncovers Genomic Regions Associated with Coleoptile Length in a Worldwide Collection of Oat

by
Pingping Zhou
,
Yuankun Liu
,
Mengxian Yang
and
Honghai Yan
*
College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China
*
Author to whom correspondence should be addressed.
Genes 2024, 15(4), 411; https://doi.org/10.3390/genes15040411
Submission received: 22 February 2024 / Revised: 24 March 2024 / Accepted: 25 March 2024 / Published: 26 March 2024
(This article belongs to the Section Plant Genetics and Genomics)
Browse Figures
Versions Notes

Abstract

:
The length of coleoptile is crucial for determining the sowing depth of oats in low-precipitation regions, which is significant for oat breeding programs. In this study, a diverse panel of 243 oat accessions was used to explore coleoptile length in two independent experiments. The panel exhibited significant variation in coleoptile length, ranging from 4.66 to 8.76 cm. Accessions from Africa, America, and the Mediterranean region displayed longer coleoptile lengths than those from Asia and Europe. Genome-wide association studies (GWASs) using 26,196 SNPs identified 34 SNPs, representing 32 quantitative trait loci (QTLs) significantly associated with coleoptile length. Among these QTLs, six were consistently detected in both experiments, explaining 6.43% to 10.07% of the phenotypic variation. The favorable alleles at these stable loci additively increased coleoptile length, offering insights for pyramid breeding. Gene Ontology (GO) analysis of the 350 candidate genes underlying the six stable QTLs revealed significant enrichment in cell development-related processes. Several phytochrome-related genes, including auxin transporter-like protein 1 and cytochrome P450 proteins, were found within these QTLs. Further validation of these loci will enhance our understanding of coleoptile length regulation. This study provides new insights into the genetic architecture of coleoptile length in oats.

1. Introduction

Common oat (Avena sativa L., 2n = 6x = 42, AACCDD) is globally recognized as the sixth most important cereal crop, following wheat, maize, rice, barley, and sorghum [1]. In comparison to other temperate cereal crops such as wheat and barley, oats have gained a reputation for their superior adaptability to marginal environments [2]. This attribute positions oats as a crucial grain crop for communities residing in marginal ecologies throughout the developing world [3]. Presently, the major oat growing regions are primarily concentrated between latitudes 40° and 60° N in America and Europe, with a smaller proportion of global oat production originating from the southern hemisphere, e.g., Australia and New Zealand [4]. Most oat production areas face arid or semi-arid climates, which leads to insufficient topsoil moisture for seed germination. In such cases, deep sowing is required to access enough moisture in the soil for seed germination. For instance, oats grown in the low-water supply areas of New Zealand are sown at a depth of more than 5 cm to protect seeds from dehydration caused by high rates of evaporation [5]. Deep sowing could also reduce seed damage from animals and pests [6] and protect the seedlings from pre-emergent herbicides [7].
Despite its merits, deep sowing is strongly associated with a significant decrease in seedling emergence, while it is a prerequisite for achieving optimal crop yields [8,9,10]. In cereal crops, the maximum potential sowing depth is largely determined by the length of the coleoptile. The coleoptile is a protective sheath-like tissue that covers the primary leaf of germinating seedlings of monocotyledons, safeguarding the emerging shoots as they break through the soil to the surface [11]. In crops such as wheat and barley, varieties with longer coleoptile lengths have shown improved seedling emergence and grain yield when sown at greater depths [12,13]. Consequently, breeding programs in water-deficit regions focus on developing cultivars with long coleoptiles as one of their main breeding goals.
Considerable studies have been carried out to evaluate the coleoptile length in major cereal crops, such as rice [14], wheat [11,15,16], and barley [17,18], revealing a wide range of variation in these crops. In contrast, there is limited information available on the coleoptile length of oat cultivars. Kaufmann [19] investigated the coleoptile length of four oat varieties planted at different seeding depths and found that these oat varieties exhibited similar coleoptile lengths. In another study, Koçak et al. [20] assessed the coleoptile length of 167 Turkish oats and revealed a wide spectrum of lengths, ranging from 12.33 to 45.00 mm. Furthermore, Radford and Key [5] evaluated the coleoptile length of 16 diverse oat genotypes at various temperatures and found that the optimal temperature for maximum coleoptile length was 15 °C. However, due to the limited number or diversity of oat germplasms used in these studies, further investigations are necessary to fully understand the extent of variation in coleoptile length in oats.
Studies conducted in other crops have demonstrated that coleoptile length is controlled by multiple genes with high heritability and significant additive effects [11,15,21], indicating the possibility of enhancing coleoptile length through genetic improvement. Extensive efforts have been dedicated to identifying quantitative trait loci (QTLs) associated with coleoptile length in rice [22,23,24], wheat [25,26,27,28,29], and barley [30,31] using bi-parental and/or multi-parental mapping populations. These studies have successfully identified numerous QTLs distributed on almost all chromosomes. Furthermore, genome-wide association studies (GWASs) based on linkage disequilibrium have also been employed to detect markers/QTLs associated with coleoptile length in these crops [11,15,18]. These GWASs not only validated previously identified QTLs from linkage mapping but have also discovered novel ones, thereby providing valuable insights for breeding and genomic research in these crops.
Compared to major crops, the progress in elucidating the genetic control of coleoptile length in oats has been significantly slower, primarily due to the scarcity of molecular markers [32,33]. Recent advancements in oat genomics have led to the development of high-quality and fully annotated oat genomes [34,35], offering promising prospects for oat genomic studies. For example, by utilizing genotyping-by-sequencing (GBS) data from 659 oat accessions and aligning them to the reference genome of the hulless oat cultivar ‘Sanfensan’, we successfully identified 49,702 high-quality SNPs [34]. These SNPs subsequently facilitated the detection of markers associated with hulless grain [34], groat protein content [36], and grain size [33]. Despite the importance of coleoptile length as a trait in oats, very few studies have been conducted to identify the genomic regions associated with this characteristic. Only one previous study identified five markers distributed on five oat chromosomes that were associated with coleoptile length [20]. Due to the complexity of coleoptile length, further identification of additional QTLs and markers is necessary. Therefore, in this study, we conducted a comprehensive genome-wide association study using a repertoire of over 26,000 genetic markers to delineate the marker–trait associations (MTAs) for coleoptile length. To achieve this, we employed a subset of 243 oat accessions from the larger collection of 659 oat lines. This subset covered a wide range of genetic diversity, consisting of 70 modern cultivars and 173 landraces. The primary objectives of this study included (i) evaluating the genetic variation in coleoptile length within the diverse oat genotypes, (ii) identifying the genomic loci linked to this trait through GWAS, and (iii) characterizing the most plausible candidate genes underlying the detected MTAs. The findings of this study will enhance our comprehension of the genetic foundation of coleoptile length and aid in the creation of genetic tools for cultivating long coleoptiles that are suitable for deep sowing in regions with low precipitation.

2. Materials and Methods

2.1. Plant Materials

In a previous study, a diverse oat panel (referred to as the Diverse Oat Panel) consisting of 659 germplasms collected from more than 50 countries was genotyped by GBS. Principal component analysis (PCA) revealed a weak population structure in the Diverse Oat Panel [34]. Based on the results of the PCA, a subset of the Diverse Oat Panel comprising 243 oat accessions was selected for phenotyping coleoptile length in this study. This subset included 70 modern cultivars and 173 landraces and was chosen to represent most of the genetic diversity and geographical distribution within the Diverse Oat Panel (Table S1, Figure S1).

2.2. Phenotype Evaluation

The evaluation of coleoptile length in this study followed a blotting-paper germination approach, as described in a previous study with some minor modifications [15]. In brief, five seeds with uniform size and plumpness were selected from each oat accession and subjected to a cleaning process involving 3% H2O2 and distilled water. Subsequently, the seeds were arranged in a line with a spacing of 1 cm between each seed on a soaked germination towel (5 cm × 5 cm) placed on a sheet of wax paper. The towel and wax paper were then loosely rolled and secured with a rubber band, forming a vertical arrangement inside a plastic box. To ensure optimal conditions for germination, the plastic boxes were covered with an opaque plastic bag to exclude light and minimize water loss through evaporation. The boxes were then placed in a refrigerator at 4 °C for 24 h to break seed dormancy. Following the dormancy-breaking period, the seedlings were allowed to elongate in a growth chamber at a constant temperature of 15 °C for a period of 10 days. Coleoptile length was measured by determining the distance from the coleoptile node to the tip of the coleoptile, following the methodology outlined by Radford and Key [5]. The experimental design utilized a completely randomized block design with three replicates, and the experiment was repeated once to ensure the robustness and reliability of the results.

2.3. Statistical Analysis

Analysis of variance (ANOVA) was conducted using the general linear model (GLM) procedure, with genotypes and experiments treated as fixed variables and replication within the experiment as a random variable. To assess the consistency among replicates within each experiment and between the two independent experiments, Pearson’s correlation coefficients were calculated based on the mean values using the “corrplot” package (v0.92) available at https://github.com/taiyun/corrplot (accessed on 10 January 2024). The broad-sense heritability was calculated as the ratio of total genetic variance to total phenotypic variance [37]. A two-tailed Student’s t-test was used to estimate the significance of the differences in coleoptile length among different groups.

2.4. Genomic Data Analysis

The association panel utilized in this study has been previously genotyped with a set of 49,702 high-quality SNPs derived from GBS data [34]. The reference genome “Sanfensan” was used to assign the physical positions of these SNPs. To ensure the quality of the data, the SNP dataset underwent several filtration steps. Loci with missing data exceeding 20%, minor allele frequency (MAF) below 0.05, and heterozygosity above 10% were excluded. After filtration, the dataset was left with 26,196 SNPs. To impute missing genotypes, the Linkage Disequilibrium K-Number Neighbor Imputation method implemented in the TASSEL software (v5.0) was employed, utilizing information from the ten nearest neighbors [38]. The resulting genotypic matrix was then utilized for the GWAS analyses.

2.5. Association Analysis

For each experiment, GWAS was conducted independently using TASSEL 5.0. Two models were compared: the general linear model (GLM) incorporating population structure (Q) and the mixed linear model (MLM) incorporating both population structure (Q) and familial relatedness (K). Principal component analysis revealed that the first five principal components (PCs) accounted for 50% of the phenotypic variation, which was considered sufficient for correcting for stratification and was utilized as a correction for population structure. Familial relatedness was estimated using a centered identity-by-state method implemented in TASSEL 5.0. The R2 values generated in the GLM or MLM statistics output were used to estimate the proportion of phenotypic variability explained by each significant marker. Manhattan and quantile–quantile (QQ) plots were generated using the R package “CMplot” [39]. Initially, a Bonferroni correction was applied, setting a significance threshold of p = 3.82 × 10−5 (1/26,196) to identify significant associations between SNP markers and coleoptile length. However, this threshold was deemed overly conservative. Therefore, a less stringent p-value (0.001), as used in previous studies [40], was employed to identify significant marker–trait associations (MTAs). For robustness, only the MTAs that were significant in both experiments were further analyzed.

2.6. Comparative Mapping

Five SNPs associated with coleoptile length in oats were identified in a previous study [20]. To compare the results of this study with ours, the DNA sequences of these markers were aligned to the “Sanfensan” reference genome. The best hits with a query cover >95% and an e-value < 1 × 10−20 were considered chromosomal locations of the associated markers within the reference genome.

2.7. Effects of Favorable Alleles

The effect of the favorable allele was determined using the following formula: [Mean (fav) − Mean (unf)]/Mean (unf) × 100, where Mean (fav) represents the group means of homozygous groups with favorable alleles, while Mean (unf) represents the group means of homozygous groups with unfavorable alleles. The favorable alleles were defined as those with positive effects, leading to longer coleoptile length. Conversely, the alternative alleles with negative effects that lead to shorter coleoptile length were considered unfavorable alleles. The significance of the difference in coleoptile length between accessions with favorable alleles and unfavorable alleles was estimated by using a two-tailed Student’s t-test. A linear regression analysis was conducted to estimate the relationship between the number of favorable alleles and coleoptile length.

2.8. Putative Candidate Gene Analysis

To identify potential candidate genes, we utilized the annotation file of the “Sanfensan” reference genome. This allowed us to extract high-confidence genes located within a 2.29 Mb flanking the LD region surrounding significant SNPs included in stable QTLs from the GWAS. To annotate these potential candidate genes, Gene Ontology (GO) annotation of the potential candidate genes was performed using eggNOG-mapper v2 [41]. GO enrichment analysis was conducted using the clusterProfiler package v4.0 [42], with a threshold of a Benjamini–Hochberg corrected p-value (Q value) of ≤0.05 to determine significantly enriched GO terms.

3. Results

3.1. Coleoptile Length in Oat Accession

This study investigated the coleoptile length of 243 oat accessions collected from 54 countries in two separate experiments (Table S1). The ANOVA revealed significant variation among different genotypes and experiments (Table 1). The coleoptile length ranged from 4.70 to 8.76 cm for Experiment 1 (E1) and from 4.66 to 8.68 cm for E2, showing a 1.86- and 1.86-fold variation in both cases (Figure 1, Table 2). Most oat accessions, i.e., 86.42% and 81.48%, had coleoptile lengths ranging from 5.5 to 7.5 cm. Only 22 and 23 accessions displayed a coleoptile length exceeding 7.5 cm in E1 and E2, respectively (Figure 1). These germplasms could serve as valuable genetic resources for future improvements in coleoptile length. A significant correlation was observed between coleoptile length in the two independent experiments (R = 0.91, p < 0.001; see Figure S2) and the estimated broad-sense heritability (H2) of coleoptile was 0.86 (Table 2), indicating a high heritability.
We subsequently conducted a comparison of the mean coleoptile length among oat accessions originating from different geographic origins. To represent the coleoptile length of the varieties, we used the average data from the two experiments, as they exhibited a strong correlation. The mean coleoptile lengths for accessions from Africa, America, Asia, Europe, and the Mediterranean were 6.69, 6.82, 6.38, 6.23, and 6.79 cm, respectively. Notably, accessions from America and the Mediterranean displayed significantly longer coleoptiles compared to those from other regions (Figure 2). Conversely, accessions from Europe exhibited the shortest mean coleoptile lengths. There was no significant difference in mean coleoptile length observed between cultivars (6.57 cm) and landraces (6.54 cm). In conclusion, our findings revealed a substantial variation in coleoptile length within the oat germplasms, with a stronger correlation observed between coleoptile length and the breeding origins rather than the improvement status.

3.2. Genome-Wide Association Analysis of Coleoptile Length

Two models, GLM with Q and MLM with Q + K, were utilized for GWAS analyses. Comparison of the quantile–quantile (Q-Q) plots from GLM and MLM revealed that the MLM model generated an observed-to-expected p-value relationship closely aligned with expectations under the null hypothesis (Figure S3), suggesting its appropriateness for this study. GWAS analyses identified 25 and 16 significant SNPs (−log10 p > 3) associated with coleoptile length in E1 and E2, respectively, explaining a phenotypic variation ranging from 6.30 to 10.07% (Figure 3, Table S2). These SNPs were distributed across 12 oat chromosomes. Based on our previous study indicating an LD decay of approximately 2.29 Mb [34], significant markers within a 2.29 Mb region were considered representative of a single QTL. In total, 32 QTLs for coleoptile length were detected, and they were not asymmetrically distributed. The highest number of QTLs (8) was detected in 4C, followed by 1D (5). Six QTLs, one on each of chromosomes 1A, 4C, and 4D, and three on chromosome 1D, were consistently detected in both experiments and explained a significant portion (6.43–10.07%) of the observed phenotypic variations (Table 3).

3.3. Comparison to Previous Studies

The chromosomal positions of previously reported SNPs associated with coleoptile length [20] were determined by aligning their DNA sequences to the “Sanfensan” reference genome. It was found that all five reported SNPs were unambiguously located on specific chromosomes, as shown in Figure 4. A comparison was conducted between the 32 QTLs in this study and these known SNPs, revealing that one of the QTLs identified in this study overlapped with these known loci. Therefore, all of the QTLs identified in this study are independent and distinct from the previously reported SNPs associated with coleoptile length.

3.4. Effects of Favorable Allele on Coleoptile Length

To investigate the impact of favorable alleles on coleoptile length, the coleoptile length was calculated for the two alleles of each stable QTL. The presence of favorable alleles increased coleoptile length by 4.02 to 9.26% in E1 and by 3.09 to 8.79% in E2 (Table 3, Figure 5a–f). The number of favorable alleles per accession ranged from 0 to 5, with an average of 1.39 across the six loci in this association panel. The accessions were categorized based on the number of favorable alleles, and the average coleoptile length for each group was analyzed to assess the effects of the number of favorable alleles on coleoptile length. In both experiments, a significant linear relationship was observed between the number of favorable alleles and coleoptile length (E1: R2 = 0.22, p < 0.001; E2: R2 = 0.16, p < 0.001) (Figure 5g,h), indicating that an increased number of favorable alleles is associated with enhanced coleoptile length.

3.5. Identification of Putative Candidate Genes

Candidate genes were identified by considering genes located within a 2.29 Mb LD block on each side of the six QTLs stably associated with coleoptile length. Through screening the annotated genes in the “Sanfensan” reference genome, a total of 350 potential candidate genes were identified (Table S3). To gain insights into their functional roles, GO enrichment analysis was performed on these candidate genes. This analysis classified most of these genes into three categories: biological process (BP), cellular component (CC), and molecular function (MF). A total of twenty-eight significantly enriched GO terms (Q value < 0.05) were identified, including twenty-two BPs and six MFs (Table S4, Figure S4). The significantly enriched BPs were primarily related to cell growth. Notably, one gene (A.satnudSFS4D01G002954 in QTL QCL-4D.2) encoding auxin transporter protein 1 in and five genes (A.satnudSFS1A01G005205, A.satnudSFS1A01G005149, and A.satnudSFS1A01G005147 in QTL QCL-1A.1, A.satnudSFS4C01G001030 in QTL QCL-4C.1, and A.satnudSFS4D01G002963 in QTL QCL-4D.2) predicted to encode cytochrome P450 proteins were found within the identified QTL regions (Table 4). These genes may play a role in regulating coleoptile length based on existing literature.

4. Discussion

4.1. Coleoptile Length Variation in Oat

Frequent drought conditions resulting from climate change pose a significant challenge in many agricultural regions worldwide. Indeed, drought is the leading cause of reduced oat yield, surpassing all other factors in specific conditions [45]. To address this issue, the cultivation of oats with longer coleoptiles has emerged as a potential solution, as it can help alleviate emergence limitations and improve field establishment in water-limited areas. Previous studies in wheat have demonstrated that coleoptile length is primarily controlled by additive genetic factors, suggesting that rapid improvement in coleoptile length can be achieved by pyramiding of larger-effect QTLs in modern cultivars. Therefore, the first step is to identify QTLs associated with this trait. However, limited information is currently available on this topic in oat research. To fill this gap, we conducted a GWAS using a diverse panel comprising 243 oat varieties to generate valuable resources for the development of oats with longer coleoptiles.
Our results for phenotypic evaluation showed substantial variation in coleoptile length within the oat association panel, ranging from 4.66 to 8.76 cm, with a mean value of 6.55 cm (Table 2). These findings align with a previous study that reported a mean coleoptile length of 6.4 cm for four oat cultivars [19]. However, the coleoptile lengths in oat accessions used in our study are much longer than the 167 Turkish oats (coleoptile length values varied between 12.33 and 45.00 mm) reported by Koçak et al. [20]. The shorter coleoptile lengths observed in 167 Turkish oats could be attributed to the higher temperature (25 °C) applied during germination. In a previous study, Radford and Key [5] investigated the effects of germination temperature on the coleoptile lengths of 16 oat varieties and found that germination temperature over 25 °C significantly reduced the coleoptile length of all oat lines. Notably, oat accessions collected from the Mediterranean, Africa, and America exhibited longer coleoptile lengths than those from Asia and Europe, possibly indicating adaptation to different precipitation patterns. For example, wheat landraces in the Northern Spring Wheat Zone (NS) and the Northwestern Spring Wheat Zone (NWS) in China displayed longer coleoptile lengths compared to landraces from other agro-ecological zones [11]. Another study in wheat also showed that irrigated wheat cultivars have shorter coleoptile lengths compared to dryland cultivars [16]. Additionally, previous studies in wheat [15] revealed that the modern cultivars exhibited significantly shorter coleoptile lengths compared to the landraces. This was due to the widespread use of dwarfing genes, many of which had adverse effects on coleoptile length. In this study, however, there was no significant difference in coleoptile length between modern cultivars and landraces, suggesting that there is no specific focus or indirect selection for coleoptile length in any of the oat breeding programs. In addition, we observed a high heritability (H2 = 0.86) of coleoptile length in oats, consistent with findings in other cereal crops [11,16]. The significant phenotypic variation and heritability offer a strong basis for conducting a high-resolution GWAS targeting this trait.

4.2. Genomic Regions Associated with Coleoptile Length

This study utilized a comprehensive genome-wide association study (GWAS) with a diverse panel of oat accessions, genotyping a total of 26,196 single-nucleotide polymorphisms (SNPs). Our analysis successfully identified 34 SNPs that were significantly associated with coleoptile length in oats, corresponding to 32 distinct QTLs (Table S2). The impact of these QTLs on coleoptile length was relatively modest, explaining less than 10% of the phenotypic variance (R2). This finding aligns with previous studies in wheat [11,15] and barley [18], suggesting that coleoptile length is a complex trait regulated by multiple genetic factors. A previous study [20] identified five SNPs that were associated with coleoptile length in a panel of 167 Turkish oats. However, when comparing the 32 QTLs identified in this study with the reported SNPs, none of these QTLs were found to overlap with the known loci. The lack of overlap may be attributed to the differences in oat accessions, emphasizing the significance of including diverse populations when studying the genetic factors that influence coleoptile length. Furthermore, our results support previous research [15,40] by demonstrating an additive effect for coleoptile length among the identified QTLs. These findings highlight the potential of using these markers in combination to enhance oat coleoptile length.

4.3. Putative Candidate Genes for Coleoptile Length

Considerable studies have been conducted to identify genomic regions associated with coleoptile length in cereal crops, but only a few of these QTLs have been successfully cloned. In our study, we focused on identifying potential candidate genes within a 2.29 Mb region flanking the linkage disequilibrium (LD) region surrounding significant SNPs associated with oat coleoptile length. Through our analysis, we identified a total of 350 potential candidate genes. GO analysis revealed a significant enrichment of genes involved in various biological processes related to cell development, such as cell tip growth (GO:0009932), developmental cell growth (GO:0048588), and cell development (GO:0048468) (Figure S4). These findings were consistent with previous studies in barley [18] and wheat [40].
Phytohormones, such as gibberellins (GAs) and auxins, play a vital role in plant development and physiological processes and have been extensively studied in relation to coleoptile length. The dwarfing genes RhtB1b and RhtD1b, which are involved in the GA signaling pathway, have been identified as regulators of coleoptile length. These dwarfing genes act by reducing the signals of gibberellins, which are responsible for promoting cell elongation [46]. Consequently, the downregulation of the GA signaling pathway by RhtB1b and RhtD1b leads to a shorter coleoptile phenotype [15,47]. This reduction in gibberellin signaling leads to the suppression of cell elongation, ultimately affecting the overall length of the coleoptile. On the other hand, CRISPR/Cas9-induced gibberellin (GA) 3-oxidase 1 (GA3ox1) increased wheat coleoptile length [48]. This manipulation of the GA pathway results in enhanced gibberellin production, leading to the promotion of cell elongation.
Auxins, another important group of phytohormones, directly induce cell elongation and significantly impact coleoptile length in grass species [49]. In our study, we identified a gene that encodes the putative auxin transporter-like protein 1 (AUX1) within the QTL QCL-4D.2 (Table S3). AUX1, a member of the AUX/LAX family, mediates the transport of indole-3-acetic acid (IAA) in Arabidopsis [50]. In rice, mutants of Osaux1 exhibited shorter coleoptiles compared to the background japonica variety “Dongjing”, which has long coleoptiles [43]. Additionally, the cytochrome P450 superfamily protein CYP87A3 has been characterized in rice as an auxin-induced gene specifically expressed in coleoptiles [42]. We found five putative cytochrome P450 proteins spanning the QTLs QCL-1A.1 (3), QCL-4C.1 (1), and QCL-4D.2 (1) (Table 4), which may influence coleoptile length in oat. Further studies are necessary to elucidate the function and downstream targets of these genes in oat coleoptile development.

4.4. Limitations of This Study

Several potential limitations in this study should be considered. Firstly, the assessment of coleoptile length was carried out in a growth chamber, which may not represent the actual field conditions, since coleoptile length is significantly influenced by environmental factors such as temperature [5] and soil type [19]. Secondly, the markers used in this study were derived from GBS data, which may not cover the entire genome, particularly genomic regions with few enzyme-cut sites. This limitation could potentially hinder the effective identification of QTLs in these regions. Moreover, the high LD in oats imposes constraints on the mapping resolution through GWAS. Therefore, further studies are required to validate the detected markers and potential candidate genes before they are utilized for marker-assisted selection.

5. Conclusions

This study investigated the coleoptile lengths of 243 diverse oat accessions, revealing a significant range of variability. Six stable QTLs associated with coleoptile length were also identified through GWAS. The accessions with long coleoptile lengths can be used promptly for crosses with elite lines to produce new lines with improved coleoptile lengths. Specific crosses can also be made to create mapping populations, enabling fine mapping of the regions of interest. This will help identify diagnostic markers linked with long coleoptile length and ultimately clone the causal genes. Once cloned, the new genes can be transferred into elite germplasm using modern genome-assisted breeding strategies, such as gene cassettes and genome editing. As such, further characterization and validation of the detected loci are essential for the effective utilization of these results. Overall, this study emphasizes the genetic diversity present in oats and provides potential targets for enhancing coleoptile length.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/genes15040411/s1, Figure S1: The first two principal components depicting the population structure of the Diverse Oat Panel. Blue dots represent accessions used in the present study; Figure S2: Correlations among experiments/replications. ***, significant at p < 0.001; Figure S3: Comparison of the Quantile-Quantile plots generated by GLM and MLM models; Figure S4: Gene ontology (GO) functional classification of 350 candidate genes located within the LD block on each side of the seven SNPs. Only significantly enriched GO terms were displayed. Q value rep-resent the BH adjusted p value; Table S1: List of materials used in the present study and their coleoptile length collected in two independent experiments; Table S2: List of QTLs that were significantly associated with coleoptile length in two independent experiments; Table S3: The genes inside the 2.29 Mb region on each side of the seven stable QTLs; Table S4: Significantly enriched GO terms associated with the candidate genes of coleoptile length.

Author Contributions

Conceptualization, P.Z. and H.Y.; Data curation, P.Z.; Investigation, P.Z., Y.L. and M.Y.; Methodology, H.Y.; Software, H.Y.; Visualization, P.Z. and H.Y.; Writing—original draft, P.Z.; Writing—review and editing, H.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China, grant number 31801430.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are included in the article/Supplementary Materials; further inquiries can be directed to the corresponding authors.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Ma, B.-L.; Zheng, Z.; Ren, C. Chapter 6—Oat. In Crop Physiology Case Histories for Major Crops; Sadras, V.O., Calderini, D.F., Eds.; Academic Press: Cambridge, MA, USA, 2021; pp. 222–248. [Google Scholar]
  2. Esvelt Klos, K.; Huang, Y.-F.; Bekele, W.A.; Obert, D.E.; Babiker, E.; Beattie, A.D.; Bjørnstad, Å.; Bonman, J.M.; Carson, M.L.; Chao, S.; et al. Population genomics related to adaptation in elite oat germplasm. Plant Genome 2016, 9, 1–12. [Google Scholar] [CrossRef] [PubMed]
  3. Barsila, S.R.; Resources, N. The fodder oat (Avena sativa) mixed legume forages farming: Nutritional and ecological benefits. J. Agric. Nat. Resour. 2018, 1, 206–222. [Google Scholar] [CrossRef]
  4. Achleitner, A.; Tinker, N.A.; Zechner, E.; Buerstmayr, H. Genetic diversity among oat varieties of worldwide origin and associations of AFLP markers with quantitative traits. Theor. Appl. Genet. 2008, 117, 1041–1053. [Google Scholar] [CrossRef] [PubMed]
  5. Radford, B.J.; Key, A.J. Temperature affects germination, mesocotyl length and coleoptile length of oats genotypes. Aust. J. Agric. Res. 1993, 44, 677–688. [Google Scholar] [CrossRef]
  6. Brown, P.R.; Singleton, G.R.; Tann, C.R.; Mock, I. Increasing sowing depth to reduce mouse damage to winter crops. Crop Prot. 2003, 22, 653–660. [Google Scholar] [CrossRef]
  7. O’Sullivan, P.A.; Weiss, G.M.; Friesen, D. Tolerance of spring wheat (Triticum aestivum L.) to trifluralin deep-incorporated in the autumn or spring. Weed Res. 1985, 25, 275–280. [Google Scholar] [CrossRef]
  8. Schillinger, W.F.; Donaldson, E.; Allan, R.E.; Jones, S.S. Winter wheat seedling emergence from deep sowing depths. Agron. J. 1998, 90, 582–586. [Google Scholar] [CrossRef]
  9. Kirby, E.J.M. Effect of sowing depth on seedling emergence, growth and development in barley and wheat. Field Crops Res. 1993, 35, 101–111. [Google Scholar] [CrossRef]
  10. Yang, W.; Xu, D.; Li, S.; Tang, X.; Pan, S.; Chen, X.; Mo, Z. Emergence and seedling establishment of rice varieties at different sowing depths. J. Plant Growth Regul. 2022, 41, 1672–1686. [Google Scholar] [CrossRef]
  11. Ma, J.; Lin, Y.; Tang, S.; Duan, S.; Wang, Q.; Wu, F.; Li, C.; Jiang, X.; Zhou, K.; Liu, Y. A Genome-wide association study of coleoptile length in different Chinese wheat landraces. Front. Plant Sci. 2020, 11, 677. [Google Scholar] [CrossRef]
  12. Rebetzke, G.J.; Richards, R.A.; Fettell, N.A.; Long, M.; Condon, A.G.; Forrester, R.I.; Botwright, T.L. Genotypic increases in coleoptile length improves stand establishment, vigour and grain yield of deep-sown wheat. Field Crops Res. 2007, 100, 10–23. [Google Scholar] [CrossRef]
  13. Bovill, W.D.; Hyles, J.; Zwart, A.B.; Ford, B.A.; Perera, G.; Phongkham, T.; Brooks, B.J.; Rebetzke, G.J.; Hayden, M.J.; Hunt, J.R.; et al. Increase in coleoptile length and establishment by Lcol-A1, a genetic locus with major effect in wheat. BMC Plant Biol. 2019, 19, 332. [Google Scholar] [CrossRef] [PubMed]
  14. Nghi, K.N.; Tondelli, A.; Valè, G.; Tagliani, A.; Marè, C.; Perata, P.; Pucciariello, C. Dissection of coleoptile elongation in japonica rice under submergence through integrated genome-wide association mapping and transcriptional analyses. Plant Cell Environ. 2019, 42, 1832–1846. [Google Scholar] [CrossRef] [PubMed]
  15. Li, G.; Bai, G.; Carver, B.F.; Elliott, N.C.; Bennett, R.S.; Wu, Y.; Hunger, R.; Bonman, J.M.; Xu, X. Genome-wide association study reveals genetic architecture of coleoptile length in wheat. Theor. Appl. Genet. 2017, 130, 391–401. [Google Scholar] [CrossRef] [PubMed]
  16. Wei, N.; Zhang, S.; Liu, Y.; Wang, J.; Wu, B.; Zhao, J.; Qiao, L.; Zheng, X.; Wang, J.; Zheng, J. Genome-wide association study of coleoptile length with Shanxi wheat. Front. Plant Sci. 2022, 13, 1016551. [Google Scholar] [CrossRef] [PubMed]
  17. Paynter, B.H.; Clarke, G.P.Y. Coleoptile length of barley (Hordeum vulgare L.) cultivars. Genet. Resour. Crop Evol. 2010, 57, 395–403. [Google Scholar] [CrossRef]
  18. Luo, H.; Hill, C.B.; Zhou, G.; Zhang, X.-Q.; Li, C. Genome-wide association mapping reveals novel genes associated with coleoptile length in a worldwide collection of barley. BMC Plant Biol. 2020, 20, 346. [Google Scholar] [CrossRef] [PubMed]
  19. Kaufmann, M.L. Coleoptile length and emergence in varieties of barley, oats, and wheat. Can. J. Plant Sci. 1968, 48, 357–361. [Google Scholar] [CrossRef]
  20. Koçak, B.; Kilinc, F.; Bardak, A.; Güngör, H.; Dokuyucu, T.; Akkaya, A.; Dumlupinar, Z. Association mapping of germination and some early seedling stage traits of a Turkish origin oat collection. Turk. J. Field Crops. 2022, 27, 41–50. [Google Scholar] [CrossRef]
  21. Murphy, K.; Balow, K.; Lyon, S.R.; Jones, S.S. Response to selection, combining ability and heritability of coleoptile length in winter wheat. Euphytica 2008, 164, 709–718. [Google Scholar] [CrossRef]
  22. Redoña, E.D.; Mackill, D.J. Mapping quantitative trait loci for seedling vigor in rice using RFLPs. Theor. Appl. Genet. 1996, 92, 395–402. [Google Scholar] [CrossRef] [PubMed]
  23. Hsu, S.-K.; Tung, C.-W. Genetic Mapping of anaerobic germination-associated QTLs controlling coleoptile elongation in rice. Rice 2015, 8, 38. [Google Scholar] [CrossRef] [PubMed]
  24. Kong, W.; Li, S.; Zhang, C.; Qiang, Y.; Li, Y. Combination of quantitative trait locus (QTL) mapping and transcriptome analysis reveals submerged germination QTLs and candidate genes controlling coleoptile length in rice. Food Energy Secur. 2022, 11, e354. [Google Scholar] [CrossRef]
  25. Blackburn, A.; Sidhu, G.; Schillinger, W.F.; Skinner, D.; Gill, K. QTL mapping using GBS and SSR genotyping reveals genomic regions controlling wheat coleoptile length and seedling emergence. Euphytica 2021, 217, 45. [Google Scholar] [CrossRef]
  26. Singh, K.; Shukla, S.; Kadam, S.; Semwal, V.K.; Singh, N.K.; Khanna-Chopra, R. Genomic regions and underlying candidate genes associated with coleoptile length under deep sowing conditions in a wheat RIL population. J. Plant Biochem. Biot. 2015, 24, 324–330. [Google Scholar] [CrossRef]
  27. Rebetzke, G.J.; Appels, R.; Morrison, A.D.; Richards, R.A.; McDonald, G.; Ellis, M.H.; Spielmeyer, W.; Bonnett, D.G. Quantitative trait loci on chromosome 4B for coleoptile length and early vigour in wheat (Triticum aestivum L.). Aust. J. Agric. Res. 2001, 52, 1221–1234. [Google Scholar] [CrossRef]
  28. Rebetzke, G.J.; Ellis, M.H.; Bonnett, D.G.; Richards, R.A. Molecular mapping of genes for coleoptile growth in bread wheat (Triticum aestivum L.). Theor. Appl. Genet. 2007, 114, 1173–1183. [Google Scholar] [CrossRef] [PubMed]
  29. Rebetzke, G.J.; Verbyla, A.P.; Verbyla, K.L.; Morell, M.K.; Cavanagh, C.R. Use of a large multiparent wheat mapping population in genomic dissection of coleoptile and seedling growth. Plant Biotechnol. J. 2014, 12, 219–230. [Google Scholar] [CrossRef] [PubMed]
  30. Takahashi, H.; Noda, M.; Sakurai, K.; Watanabe, A.; Akagi, H.; Sato, K.; Takeda, K. QTLs in barley controlling seedling elongation of deep-sown seeds. Euphytica 2008, 164, 761–768. [Google Scholar] [CrossRef]
  31. Takahashi, H.; Sato, K.; Takeda, K. Mapping genes for deep-seeding tolerance in barley. Euphytica 2001, 122, 37–43. [Google Scholar] [CrossRef]
  32. Tinker, N.A.; Wight, C.P.; Bekele, W.A.; Yan, W.; Jellen, E.N.; Renhuldt, N.T.; Sirijovski, N.; Lux, T.; Spannagl, M.; Mascher, M. Genome analysis in Avena sativa reveals hidden breeding barriers and opportunities for oat improvement. Commun. Biol. 2022, 5, 474. [Google Scholar] [CrossRef] [PubMed]
  33. Yan, H.; Deng, D.; Zhou, P.; Peng, Y.; Dong, X.; Li, S.; Zhang, Y.; Man, Q.; Lv, Z.; Chen, T.; et al. Dissecting the genetic basis of grain weight and size in common oat by genome-wide association study. J. Cereal Sci. 2023, 114, 103811. [Google Scholar] [CrossRef]
  34. Peng, Y.; Yan, H.; Guo, L.; Deng, C.; Wang, C.; Wang, Y.; Kang, L.; Zhou, P.; Yu, K.; Dong, X.; et al. Reference genome assemblies reveal the origin and evolution of allohexaploid oat. Nat. Genet. 2022, 54, 1248–1258. [Google Scholar] [CrossRef]
  35. Kamal, N.; Tsardakas Renhuldt, N.; Bentzer, J.; Gundlach, H.; Haberer, G.; Juhász, A.; Lux, T.; Bose, U.; Tye-Din, J.A.; Lang, D.; et al. The mosaic oat genome gives insights into a uniquely healthy cereal crop. Nature 2022, 606, 113–119. [Google Scholar] [CrossRef] [PubMed]
  36. Yan, H.; Zhang, H.; Zhou, P.; Ren, C.; Peng, Y. Genome-wide association mapping of QTL underlying groat protein content of a diverse panel of oat accessions. Int. J. Mol. Sci. 2023, 24, 5581. [Google Scholar] [CrossRef] [PubMed]
  37. Smith, S.E.; Kuehl, R.O.; Ray, I.M.; Hui, R.; Soleri, D. Evaluation of simple methods for estimating broad-sense heritability in stands of randomly planted genotypes. Crop Sci. 1998, 38, 1125–1129. [Google Scholar] [CrossRef]
  38. Bradbury, P.J.; Zhang, Z.; Kroon, D.E.; Casstevens, T.M.; Ramdoss, Y.; Buckler, E.S. TASSEL: Software for association mapping of complex traits in diverse samples. Bioinformatics 2007, 23, 2633–2635. [Google Scholar] [CrossRef]
  39. Yin, L.; Zhang, H.; Tang, Z.; Xu, J.; Yin, D.; Zhang, Z.; Yuan, X.; Zhu, M.; Zhao, S.; Li, X.; et al. rMVP: A memory-efficient, visualization-enhanced, and parallel-accelerated tool for genome-wide association study. Genom. Proteom. Bioinf. 2021, 19, 619–628. [Google Scholar] [CrossRef] [PubMed]
  40. Sidhu, J.S.; Singh, D.; Gill, H.S.; Brar, N.K.; Qiu, Y.; Halder, J.; Al Tameemi, R.; Turnipseed, B.; Sehgal, S.K. Genome-wide association study uncovers novel genomic regions associated with coleoptile length in hard winter wheat. Front. Plant Sci. 2020, 10, 1345. [Google Scholar] [CrossRef]
  41. Cantalapiedra, C.P.; Hernández-Plaza, A.; Letunic, I.; Bork, P.; Huerta-Cepas, J. eggNOG-mapper v2: Functional annotation, orthology assignments, and domain prediction at the metagenomic scale. Mol. Biol. Evol. 2021, 38, 5825–5829. [Google Scholar] [CrossRef]
  42. Wu, T.; Hu, E.; Xu, S.; Chen, M.; Guo, P.; Dai, Z.; Feng, T.; Zhou, L.; Tang, W.; Zhan, L.; et al. clusterProfiler 4.0: A universal enrichment tool for interpreting omics data. Innovation 2021, 2, 100141. [Google Scholar] [CrossRef] [PubMed]
  43. Chaban, C.; Waller, F.; Furuya, M.; Nick, P. Auxin responsiveness of a novel cytochrome P450 in rice coleoptiles. Plant Physiol. 2003, 133, 2000–2009. [Google Scholar] [CrossRef] [PubMed]
  44. Nghi, K.N.; Tagliani, A.; Mariotti, L.; Weits, D.A.; Perata, P.; Pucciariello, C. Auxin is required for the long coleoptile trait in japonica rice under submergence. New Phytol. 2021, 229, 85–93. [Google Scholar] [CrossRef] [PubMed]
  45. Canales, F.J.; Montilla-Bascón, G.; Bekele, W.A.; Howarth, C.J.; Langdon, T.; Rispail, N.; Tinker, N.A.; Prats, E. Population genomics of Mediterranean oat (A. sativa) reveals high genetic diversity and three loci for heading date. Theor. Appl. Genet. 2021, 134, 2063–2077. [Google Scholar] [CrossRef] [PubMed]
  46. Peng, J.; Richards, D.E.; Hartley, N.M.; Murphy, G.P.; Devos, K.M.; Flintham, J.E.; Beales, J.; Fish, L.J.; Worland, A.J.; Pelica, F.; et al. ‘Green revolution’ genes encode mutant gibberellin response modulators. Nature 1999, 400, 256–261. [Google Scholar] [CrossRef] [PubMed]
  47. Ellis, M.H.; Rebetzke, G.J.; Chandler, P.; Bonnett, D.; Spielmeyer, W.; Richards, R.A. The effect of different height reducing genes on the early growth of wheat. Funct. Plant Biol. 2004, 31, 583–589. [Google Scholar] [CrossRef]
  48. Cheng, J.; Hill, C.; Han, Y.; He, T.; Ye, X.; Shabala, S.; Guo, G.; Zhou, M.; Wang, K.; Li, C. New semi-dwarfing alleles with increased coleoptile length by gene editing of gibberellin 3-oxidase 1 using CRISPR-Cas9 in barley (Hordeum vulgare L.). Plant Biotechnol. J. 2023, 21, 806–818. [Google Scholar] [CrossRef] [PubMed]
  49. Paque, S.; Weijers, D. Q&A: Auxin: The plant molecule that influences almost anything. BMC Biol. 2016, 14, 67. [Google Scholar]
  50. Blakeslee, J.J.; Peer, W.A.; Murphy, A.S. Auxin transport. Curr. Opin. Plant Biol. 2005, 8, 494–500. [Google Scholar] [CrossRef]
Genes 15 00411 g001
Figure 1. Distribution of mean coleoptile lengths of the association panel in two independent experiments. E1, Experiment 1; E2, Experiment 2.
Figure 1. Distribution of mean coleoptile lengths of the association panel in two independent experiments. E1, Experiment 1; E2, Experiment 2.
Genes 15 00411 g001
Genes 15 00411 g002
Figure 2. Comparison of coleoptile length of accessions from different origins (a) and between cultivars and landraces (b). The coleoptile length was averaged from the two independent experiments. * p < 0.05; ** p < 0.01; *** p < 0.001.
Figure 2. Comparison of coleoptile length of accessions from different origins (a) and between cultivars and landraces (b). The coleoptile length was averaged from the two independent experiments. * p < 0.05; ** p < 0.01; *** p < 0.001.
Genes 15 00411 g002
Genes 15 00411 g003
Figure 3. Manhattan plots for coleoptile length. (a) E1. (b) E2.
Figure 3. Manhattan plots for coleoptile length. (a) E1. (b) E2.
Genes 15 00411 g003
Genes 15 00411 g004
Figure 4. The chromosomal locations of QTLs associated with coleoptile length in oat identified in this study and a previous study [20]. QTLs identified by Koçak et al. [20] are highlighted in red.
Figure 4. The chromosomal locations of QTLs associated with coleoptile length in oat identified in this study and a previous study [20]. QTLs identified by Koçak et al. [20] are highlighted in red.
Genes 15 00411 g004
Genes 15 00411 g005
Figure 5. The allelic effects of the six stable QTLs on coleoptile length. (a–f), Allelic effects of each individual QTL on coleoptile length. (g,h), Linear regression between the number of favorable alleles and coleoptile length in E1 (g) and E2 (h). Two-tailed Student’s t-test was used to determine the significant differences between mean values of two alleles in (a–f). *, significant at p < 0.05; **, significant at p < 0.01, ***, significant at p < 0.001.
Figure 5. The allelic effects of the six stable QTLs on coleoptile length. (a–f), Allelic effects of each individual QTL on coleoptile length. (g,h), Linear regression between the number of favorable alleles and coleoptile length in E1 (g) and E2 (h). Two-tailed Student’s t-test was used to determine the significant differences between mean values of two alleles in (a–f). *, significant at p < 0.05; **, significant at p < 0.01, ***, significant at p < 0.001.
Genes 15 00411 g005
Table 1. Analysis of variance for coleoptile length.
Table 1. Analysis of variance for coleoptile length.
Variablesdf aSum of SquaresMean SquaresF-ValuesSignificance b
Genotype242717.32.9638.91***
Experiment10.90.9011.77***
G × E24232.00.131.74***
Residuals97274.00.08
a df, degree of freedom; b ***, significant at the 0.001 level.
Table 2. Phenotypic variation and broad-sense heritability (H2) of coleoptile length.
Table 2. Phenotypic variation and broad-sense heritability (H2) of coleoptile length.
VariablesRange (cm)Mean (cm)Standard Deviation (cm)CV (%)H2
E14.70–8.756.570.7110.77
E24.66–8.686.520.7311.13
Total4.66–8.756.550.7511.450.86
Table 3. QTLs that were consistently detected in both experiments, including the designated name, linked SNP(s), chromosome location, physical position, alleles, −log10(p) value, and R2 value.
Table 3. QTLs that were consistently detected in both experiments, including the designated name, linked SNP(s), chromosome location, physical position, alleles, −log10(p) value, and R2 value.
QTLMarkerChromosomePosition (Mb)Allele *E1 E2
−Log10 (p)R2 (%)Allelic Effects (%)−Log10 (p)R2 (%)Allelic Effects (%)
QCL-1A.1S1A_2950260521A295.03A/G3.728.114.053.828.353.09
QCL-1D.1S1D_386320631D38.63A/G3.547.645.573.166.835.27
QCL-1D.2S1D_491437921D49.14G/A3.377.774.033.518.053.54
QCL-1D.5S1D_1800466471D180.05G/C3.367.096.053.056.444.30
S1D_1800467021D180.05G/A3.437.428.843.096.436.54
QCL-4C.1S4C_361282384C36.13A/C4.3810.079.053.257.308.79
QCL-4D.2S4D_3503784934D350.38C/T3.538.079.263.317.697.86
* The favorable alleles are in bold type.
Table 4. Potential candidates related to coleoptile length according to literature.
Table 4. Potential candidates related to coleoptile length according to literature.
QTLGene_IDDistance (bp) to Significant SNP #DescriptionLiterature
QCL-1A.1A.satnudSFS1A01G005205−1,936,883 Cytochrome P450 85A1-like Chaban et al. [43]
A.satnudSFS1A01G0051491,517,948 Cytochrome P450 71A1 Chaban et al. [43]
A.satnudSFS1A01G0051471,682,924 Cytochrome P450 71A1 Chaban et al. [43]
QCL-4C.1A.satnudSFS4C01G0010301,742,832 Cytochrome P450 72A15Chaban et al. [43]
QCL-4D.2A.satnudSFS4D01G0029541,583,082 Auxin transporter-like protein 1 Nghi et al. [44]
QCL-4D.2A.satnudSFS4D01G0029631,233,083 Cytochrome P450 CBH32594.1Chaban et al. [43]
# Physical distance from the SNP to the candidate gene. A negative value represents the upstream to the SNP.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Zhou, P.; Liu, Y.; Yang, M.; Yan, H. Genome-Wide Association Study Uncovers Genomic Regions Associated with Coleoptile Length in a Worldwide Collection of Oat. Genes 2024, 15, 411. https://doi.org/10.3390/genes15040411

AMA Style

Zhou P, Liu Y, Yang M, Yan H. Genome-Wide Association Study Uncovers Genomic Regions Associated with Coleoptile Length in a Worldwide Collection of Oat. Genes. 2024; 15(4):411. https://doi.org/10.3390/genes15040411

Chicago/Turabian Style

Zhou, Pingping, Yuankun Liu, Mengxian Yang, and Honghai Yan. 2024. "Genome-Wide Association Study Uncovers Genomic Regions Associated with Coleoptile Length in a Worldwide Collection of Oat" Genes 15, no. 4: 411. https://doi.org/10.3390/genes15040411

APA Style

Zhou, P., Liu, Y., Yang, M., & Yan, H. (2024). Genome-Wide Association Study Uncovers Genomic Regions Associated with Coleoptile Length in a Worldwide Collection of Oat. Genes, 15(4), 411. https://doi.org/10.3390/genes15040411

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop