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A Genome-Wide Association Study Coupled With a Transcriptomic Analysis Reveals the Genetic Loci and Candidate Genes Governing the Flowering Time in Alfalfa (Medicago sativa L.)

The transition to flowering at the right time is very important for adapting to local conditions and maximizing alfalfa yield. However, the understanding of the genetic basis of the alfalfa flowering time remains limited. There are few reliable genes or markers for selection, which hinders progress...

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Autores principales: He, Fei, Zhang, Fan, Jiang, Xueqian, Long, Ruicai, Wang, Zhen, Chen, Yishi, Li, Mingna, Gao, Ting, Yang, Tianhui, Wang, Chuan, Kang, Junmei, Chen, Lin, Yang, Qingchuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310038/
https://www.ncbi.nlm.nih.gov/pubmed/35898229
http://dx.doi.org/10.3389/fpls.2022.913947
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author He, Fei
Zhang, Fan
Jiang, Xueqian
Long, Ruicai
Wang, Zhen
Chen, Yishi
Li, Mingna
Gao, Ting
Yang, Tianhui
Wang, Chuan
Kang, Junmei
Chen, Lin
Yang, Qingchuan
author_facet He, Fei
Zhang, Fan
Jiang, Xueqian
Long, Ruicai
Wang, Zhen
Chen, Yishi
Li, Mingna
Gao, Ting
Yang, Tianhui
Wang, Chuan
Kang, Junmei
Chen, Lin
Yang, Qingchuan
author_sort He, Fei
collection PubMed
description The transition to flowering at the right time is very important for adapting to local conditions and maximizing alfalfa yield. However, the understanding of the genetic basis of the alfalfa flowering time remains limited. There are few reliable genes or markers for selection, which hinders progress in genetic research and molecular breeding of this trait in alfalfa. We sequenced 220 alfalfa cultivars and conducted a genome-wide association study (GWAS) involving 875,023 single-nucleotide polymorphisms (SNPs). The phenotypic analysis showed that the breeding status and geographical origin strongly influenced the alfalfa flowering time. Our GWAS revealed 63 loci significantly related to the flowering time. Ninety-five candidate genes were detected at these SNP loci within 40 kb (20 kb up- and downstream). Thirty-six percent of the candidate genes are involved in development and pollen tube growth, indicating that these genes are key genetic mechanisms of alfalfa growth and development. The transcriptomic analysis showed that 1,924, 2,405, and 3,779 differentially expressed genes (DEGs) were upregulated across the three growth stages, while 1,651, 2,613, and 4,730 DEGs were downregulated across the stages. Combining the results of our GWAS and transcriptome analysis, in total, 38 candidate genes (7 differentially expressed during the bud stage, 13 differentially expressed during the initial flowering stage, and 18 differentially expressed during the full flowering stage) were identified. Two SNPs located in the upstream region of the Msa0888690 gene (which is involved in isop renoids) were significantly related to flowering. The two significant SNPs within the upstream region of Msa0888690 existed as four different haplotypes in this panel. The genes identified in this study represent a series of candidate targets for further research investigating the alfalfa flowering time and could be used for alfalfa molecular breeding.
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spelling pubmed-93100382022-07-26 A Genome-Wide Association Study Coupled With a Transcriptomic Analysis Reveals the Genetic Loci and Candidate Genes Governing the Flowering Time in Alfalfa (Medicago sativa L.) He, Fei Zhang, Fan Jiang, Xueqian Long, Ruicai Wang, Zhen Chen, Yishi Li, Mingna Gao, Ting Yang, Tianhui Wang, Chuan Kang, Junmei Chen, Lin Yang, Qingchuan Front Plant Sci Plant Science The transition to flowering at the right time is very important for adapting to local conditions and maximizing alfalfa yield. However, the understanding of the genetic basis of the alfalfa flowering time remains limited. There are few reliable genes or markers for selection, which hinders progress in genetic research and molecular breeding of this trait in alfalfa. We sequenced 220 alfalfa cultivars and conducted a genome-wide association study (GWAS) involving 875,023 single-nucleotide polymorphisms (SNPs). The phenotypic analysis showed that the breeding status and geographical origin strongly influenced the alfalfa flowering time. Our GWAS revealed 63 loci significantly related to the flowering time. Ninety-five candidate genes were detected at these SNP loci within 40 kb (20 kb up- and downstream). Thirty-six percent of the candidate genes are involved in development and pollen tube growth, indicating that these genes are key genetic mechanisms of alfalfa growth and development. The transcriptomic analysis showed that 1,924, 2,405, and 3,779 differentially expressed genes (DEGs) were upregulated across the three growth stages, while 1,651, 2,613, and 4,730 DEGs were downregulated across the stages. Combining the results of our GWAS and transcriptome analysis, in total, 38 candidate genes (7 differentially expressed during the bud stage, 13 differentially expressed during the initial flowering stage, and 18 differentially expressed during the full flowering stage) were identified. Two SNPs located in the upstream region of the Msa0888690 gene (which is involved in isop renoids) were significantly related to flowering. The two significant SNPs within the upstream region of Msa0888690 existed as four different haplotypes in this panel. The genes identified in this study represent a series of candidate targets for further research investigating the alfalfa flowering time and could be used for alfalfa molecular breeding. Frontiers Media S.A. 2022-07-11 /pmc/articles/PMC9310038/ /pubmed/35898229 http://dx.doi.org/10.3389/fpls.2022.913947 Text en Copyright © 2022 He, Zhang, Jiang, Long, Wang, Chen, Li, Gao, Yang, Wang, Kang, Chen and Yang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
He, Fei
Zhang, Fan
Jiang, Xueqian
Long, Ruicai
Wang, Zhen
Chen, Yishi
Li, Mingna
Gao, Ting
Yang, Tianhui
Wang, Chuan
Kang, Junmei
Chen, Lin
Yang, Qingchuan
A Genome-Wide Association Study Coupled With a Transcriptomic Analysis Reveals the Genetic Loci and Candidate Genes Governing the Flowering Time in Alfalfa (Medicago sativa L.)
title A Genome-Wide Association Study Coupled With a Transcriptomic Analysis Reveals the Genetic Loci and Candidate Genes Governing the Flowering Time in Alfalfa (Medicago sativa L.)
title_full A Genome-Wide Association Study Coupled With a Transcriptomic Analysis Reveals the Genetic Loci and Candidate Genes Governing the Flowering Time in Alfalfa (Medicago sativa L.)
title_fullStr A Genome-Wide Association Study Coupled With a Transcriptomic Analysis Reveals the Genetic Loci and Candidate Genes Governing the Flowering Time in Alfalfa (Medicago sativa L.)
title_full_unstemmed A Genome-Wide Association Study Coupled With a Transcriptomic Analysis Reveals the Genetic Loci and Candidate Genes Governing the Flowering Time in Alfalfa (Medicago sativa L.)
title_short A Genome-Wide Association Study Coupled With a Transcriptomic Analysis Reveals the Genetic Loci and Candidate Genes Governing the Flowering Time in Alfalfa (Medicago sativa L.)
title_sort genome-wide association study coupled with a transcriptomic analysis reveals the genetic loci and candidate genes governing the flowering time in alfalfa (medicago sativa l.)
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310038/
https://www.ncbi.nlm.nih.gov/pubmed/35898229
http://dx.doi.org/10.3389/fpls.2022.913947
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