1
|
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 (Basel) 2024; 15:411. [PMID: 38674348 PMCID: PMC11049438 DOI: 10.3390/genes15040411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 03/24/2024] [Accepted: 03/25/2024] [Indexed: 04/28/2024] Open
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.
Collapse
Affiliation(s)
| | | | | | - Honghai Yan
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China; (P.Z.)
| |
Collapse
|
2
|
Su J, Zeng J, Wang S, Zhang X, Zhao L, Wen S, Zhang F, Jiang J, Chen F. Multi-locus genome-wide association studies reveal the dynamic genetic architecture of flowering time in chrysanthemum. PLANT CELL REPORTS 2024; 43:84. [PMID: 38448703 DOI: 10.1007/s00299-024-03172-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 02/07/2024] [Indexed: 03/08/2024]
Abstract
KEY MESSAGE The dynamic genetic architecture of flowering time in chrysanthemum was elucidated by GWAS. Thirty-six known genes and 14 candidate genes were identified around the stable QTNs and QEIs, among which ERF-1 was highlighted. Flowering time (FT) adaptation is one of the major breeding goals in chrysanthemum, a multipurpose ornamental plant. In order to reveal the dynamic genetic architecture of FT in chrysanthemum, phenotype investigation of ten FT-related traits was conducted on 169 entries in 2 environments. The broad-sense heritability of five non-conditional FT traits, i.e., budding (FBD), visible coloring (VC), early opening (EO), full-bloom (OF) and decay period (DP), ranged from 56.93 to 84.26%, which were higher than that of the five derived conditional FT traits (38.51-75.13%). The phenotypic variation coefficients of OF_EO and DP_OF were relatively large ranging from 30.59 to 36.17%. Based on 375,865 SNPs, the compressed variance component mixed linear model 3VmrMLM was applied for a multi-locus genome-wide association study (GWAS). As a result, 313 quantitative trait nucleotides (QTNs) were identified for the non-conditional FT traits in single-environment analysis, while 119 QTNs and 67 QTN-by-environment interactions (QEIs) were identified in multi-environment analysis. As for the conditional traits, 343 QTNs were detected in single-environment analysis, and 119 QTNs and 83 QEIs were identified in multi- environment analysis. Among the genes around stable QTNs and QEIs, 36 were orthologs of known FT genes in Arabidopsis and other plants; 14 candidates were mined by combining the transcriptomics data and functional annotation, including ERF-1, ACA10, and FOP1. Furthermore, the haplotype analysis of ERF-1 revealed six elite accessions with extreme FBD. Our findings contribute to the understanding of dynamic genetic architecture of FT and provide valuable resources for future chrysanthemum molecular breeding programs.
Collapse
Affiliation(s)
- Jiangshuo Su
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
| | - Junwei Zeng
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
| | - Siyue Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
| | - Xuefeng Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
| | - Limin Zhao
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
| | - Shiyun Wen
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
| | - Fei Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, China
| | - Jiafu Jiang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, China
| | - Fadi Chen
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China.
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, China.
| |
Collapse
|
3
|
Gao S, Su Z, Ma J, Ma J, Liu C, Li H, Zheng Z. Identification of a novel and plant height-independent QTL for coleoptile length in barley and validation of its effect using near isogenic lines. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:53. [PMID: 38381194 PMCID: PMC10881613 DOI: 10.1007/s00122-024-04561-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 01/24/2024] [Indexed: 02/22/2024]
Abstract
KEY MESSAGE This study reported the identification and validation of novel QTL conferring coleoptile length in barley and predicted candidate genes underlying the largest effect QTL based on orthologous analysis and comparison of the whole genome assemblies for both parental genotypes of the mapping population. Coleoptile length (CL) is one of the most important agronomic traits in cereal crops due to its direct influence on the optimal depth for seed sowing which facilitates better seedling establishment. Varieties with longer coleoptiles are preferred in drought-prone areas where less moisture maintains at the top layer of the soil. Compared to wheat, genetic study on coleoptile length is limited in barley. Here, we reported a study on detecting the genomic regions associated with CL in barley by assessing a population consisting of 201 recombinant inbred lines. Four putative QTL conferring CL were consistently identified on chromosomes 1H, 5H, 6H, and 7H in each of the trials conducted. Of these QTL, the two located on chromosomes 5H and 6H (designated as Qcl.caf-5H and Qcl.caf-6H) are likely novel and Qcl.caf-5H showed the most significant effect explaining up to 30.9% of phenotypic variance with a LOD value of 15.1. To further validate the effect of this putative QTL, five pairs of near isogenic lines (NILs) were then developed and assessed. Analysis of the NILs showed an average difference of 21.0% in CL between the two isolines. Notably, none of the other assessed morphological characteristics showed consistent differences between the two isolines for each pair of the NILs. Candidate genes underlying the Qcl.caf-5H locus were also predicted by employing orthologous analysis and comparing the genome assemblies for both parental genotypes of the mapping population in the present study. Taken together, these findings expand our understanding on genetic basis of CL and will be indicative for further gene cloning and functional analysis underly this locus in barley.
Collapse
Affiliation(s)
- Shang Gao
- CSIRO Agriculture and Food, 306 Carmody Road, St Lucia, QLD, 4067, Australia
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
- Nanfan Research Institute, Chinese Academy of Agricultural Sciences, Sanya, 572024, Hainan, China
| | - Zhouyang Su
- CSIRO Agriculture and Food, 306 Carmody Road, St Lucia, QLD, 4067, Australia
- Tasmanian Institute of Agriculture, University of Tasmania, Prospect, TAS, 7205, Australia
| | - Jun Ma
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Jian Ma
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Chunji Liu
- CSIRO Agriculture and Food, 306 Carmody Road, St Lucia, QLD, 4067, Australia
| | - Huihui Li
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
- Nanfan Research Institute, Chinese Academy of Agricultural Sciences, Sanya, 572024, Hainan, China.
| | - Zhi Zheng
- CSIRO Agriculture and Food, 306 Carmody Road, St Lucia, QLD, 4067, Australia.
| |
Collapse
|
4
|
Ramappa S, Joshi MA, Krishna H, Dunna V, Jain N, Sreevathsa R, Devate NB. Unravelling the Genetic Basis of Moisture Deficit Stress Tolerance in Wheat for Seedling Vigour-Related Traits and Root Traits Using Genome-Wide Association Study. Genes (Basel) 2023; 14:1902. [PMID: 37895250 PMCID: PMC10606372 DOI: 10.3390/genes14101902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/22/2023] [Accepted: 09/28/2023] [Indexed: 10/29/2023] Open
Abstract
A key abiotic stress that negatively affects seed germination, plant development, and crop yield is moisture deficit stress. Achieving higher vigour and uniform germination under stress conditions is essential for crop establishment and productivity and to enhance the yield. Hence, revealing wheat's capacity to withstand moisture deficit stress during seed germination and early growth stages is fundamental in improving its overall performance. However, the genetic regulation of moisture deficit stress tolerance during the seed germination phase remains largely unexplored. In this study, a total of 193 wheat genotypes were subjected to simulated moisture deficit stress using PEG-6000 (-0.4 MPa) during the seed germination stage. The induced moisture deficit stress significantly reduced various seedling-vigour-related traits. The genetic regions linked to these traits were found using a genome-wide association study (GWAS). The analysis identified 235 MTAs with a significance -log10(p) value of >4. After applying the Bonferroni correction, the study identified 47 unique single nucleotide polymorphisms (SNPs) that are linked to candidate genes important for the trait of interest. The current study emphasises the effectiveness of genome-wide association studies (GWAS) in identifying promising candidate genes, improving wheat seedling vigour and root traits, and offering essential information for the development of wheat cultivars tolerant to moisture deficit stress.
Collapse
Affiliation(s)
- S Ramappa
- Division of Seed Science and Technology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Monika A. Joshi
- Division of Seed Science and Technology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Hari Krishna
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Vijay Dunna
- Division of Seed Science and Technology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Neelu Jain
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Rohini Sreevathsa
- Division of Molecular Biology and Biotechnology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Narayana Bhat Devate
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| |
Collapse
|