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Genome-wide survey identified superior and rare haplotypes for plant height in the north-eastern soybean germplasm of China
The proper and efficient utilization of natural genetic diversity can significantly impact crop improvements. Plant height is a quantitative trait governing the plant type as well as the yield and quality of soybean. Here, we used a combined approach including a genome-wide association study (GWAS)...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248691/ https://www.ncbi.nlm.nih.gov/pubmed/37309452 http://dx.doi.org/10.1007/s11032-023-01363-7 |
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author | Yu, Hui Bhat, Javaid Akhter Li, Candong Zhao, Beifang Guo, Tai Feng, Xianzhong |
author_facet | Yu, Hui Bhat, Javaid Akhter Li, Candong Zhao, Beifang Guo, Tai Feng, Xianzhong |
author_sort | Yu, Hui |
collection | PubMed |
description | The proper and efficient utilization of natural genetic diversity can significantly impact crop improvements. Plant height is a quantitative trait governing the plant type as well as the yield and quality of soybean. Here, we used a combined approach including a genome-wide association study (GWAS) and haplotype and candidate gene analyses to explore the genetic basis of plant height in diverse natural soybean populations. For the GWAS analysis, we used the whole-genome resequencing data of 196 diverse soybean cultivars collected from different accumulated temperature zones of north-eastern China to detect the significant single-nucleotide polymorphisms (SNPs) associated with plant height across three environments (E1, E2, and E3). A total of 33 SNPs distributed on four chromosomes, viz., Chr.02, Chr.04, Chr.06, and Chr.19, were identified to be significantly associated with plant height across the three environments. Among them, 23 were consistently detected in two or more environments and the remaining 10 were identified in only one environment. Interestingly, all the significant SNPs detected on the respective chromosomes fell within the physical interval of linkage disequilibrium (LD) decay (± 38.9 kb). Hence, these genomic regions were considered to be four quantitative trait loci (QTLs), viz., qPH2, qPH4, qPH6, and qPH19, regulating plant height. Moreover, the genomic region flanking all significant SNPs on four chromosomes exhibited strong LD. These significant SNPs thus formed four haplotype blocks, viz., Hap-2, Hap-4, Hap-6, and Hap-19. The number of haplotype alleles underlying each block varied from four to six, and these alleles regulate the different phenotypes of plant height ranging from dwarf to extra-tall heights. Nine candidate genes were identified within the four haplotype blocks, and these genes were considered putative candidates regulating soybean plant height. Hence, these stable QTLs, superior haplotypes, and candidate genes (after proper validation) can be deployed for the development of soybean cultivars with desirable plant heights. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11032-023-01363-7. |
format | Online Article Text |
id | pubmed-10248691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-102486912023-06-12 Genome-wide survey identified superior and rare haplotypes for plant height in the north-eastern soybean germplasm of China Yu, Hui Bhat, Javaid Akhter Li, Candong Zhao, Beifang Guo, Tai Feng, Xianzhong Mol Breed Article The proper and efficient utilization of natural genetic diversity can significantly impact crop improvements. Plant height is a quantitative trait governing the plant type as well as the yield and quality of soybean. Here, we used a combined approach including a genome-wide association study (GWAS) and haplotype and candidate gene analyses to explore the genetic basis of plant height in diverse natural soybean populations. For the GWAS analysis, we used the whole-genome resequencing data of 196 diverse soybean cultivars collected from different accumulated temperature zones of north-eastern China to detect the significant single-nucleotide polymorphisms (SNPs) associated with plant height across three environments (E1, E2, and E3). A total of 33 SNPs distributed on four chromosomes, viz., Chr.02, Chr.04, Chr.06, and Chr.19, were identified to be significantly associated with plant height across the three environments. Among them, 23 were consistently detected in two or more environments and the remaining 10 were identified in only one environment. Interestingly, all the significant SNPs detected on the respective chromosomes fell within the physical interval of linkage disequilibrium (LD) decay (± 38.9 kb). Hence, these genomic regions were considered to be four quantitative trait loci (QTLs), viz., qPH2, qPH4, qPH6, and qPH19, regulating plant height. Moreover, the genomic region flanking all significant SNPs on four chromosomes exhibited strong LD. These significant SNPs thus formed four haplotype blocks, viz., Hap-2, Hap-4, Hap-6, and Hap-19. The number of haplotype alleles underlying each block varied from four to six, and these alleles regulate the different phenotypes of plant height ranging from dwarf to extra-tall heights. Nine candidate genes were identified within the four haplotype blocks, and these genes were considered putative candidates regulating soybean plant height. Hence, these stable QTLs, superior haplotypes, and candidate genes (after proper validation) can be deployed for the development of soybean cultivars with desirable plant heights. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11032-023-01363-7. Springer Netherlands 2023-03-20 /pmc/articles/PMC10248691/ /pubmed/37309452 http://dx.doi.org/10.1007/s11032-023-01363-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yu, Hui Bhat, Javaid Akhter Li, Candong Zhao, Beifang Guo, Tai Feng, Xianzhong Genome-wide survey identified superior and rare haplotypes for plant height in the north-eastern soybean germplasm of China |
title | Genome-wide survey identified superior and rare haplotypes for plant height in the north-eastern soybean germplasm of China |
title_full | Genome-wide survey identified superior and rare haplotypes for plant height in the north-eastern soybean germplasm of China |
title_fullStr | Genome-wide survey identified superior and rare haplotypes for plant height in the north-eastern soybean germplasm of China |
title_full_unstemmed | Genome-wide survey identified superior and rare haplotypes for plant height in the north-eastern soybean germplasm of China |
title_short | Genome-wide survey identified superior and rare haplotypes for plant height in the north-eastern soybean germplasm of China |
title_sort | genome-wide survey identified superior and rare haplotypes for plant height in the north-eastern soybean germplasm of china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248691/ https://www.ncbi.nlm.nih.gov/pubmed/37309452 http://dx.doi.org/10.1007/s11032-023-01363-7 |
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