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一项全基因组关联研究结合转录组分析揭示了紫花苜蓿(Medicago sativa L.)开花时间的遗传位点和候选基因。

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

作者信息

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

机构信息

Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.

Center for Monitoring of Agricultural Ecological Environment and Quality Inspection of Agricultural Products of Tianjin, Tianjin, China.

出版信息

Front Plant Sci. 2022 Jul 11;13:913947. doi: 10.3389/fpls.2022.913947. eCollection 2022.

Abstract

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 gene (which is involved in isop renoids) were significantly related to flowering. The two significant SNPs within the upstream region of 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.

摘要

在合适的时间过渡到开花对于适应当地环境和最大化苜蓿产量非常重要。然而,对苜蓿开花时间的遗传基础的了解仍然有限。用于选择的可靠基因或标记很少,这阻碍了苜蓿这一性状的遗传研究和分子育种的进展。我们对220个苜蓿品种进行了测序,并进行了一项全基因组关联研究(GWAS),涉及875,023个单核苷酸多态性(SNP)。表型分析表明,育种状态和地理来源对苜蓿开花时间有强烈影响。我们的GWAS揭示了63个与开花时间显著相关的位点。在这些SNP位点40 kb(上下游各20 kb)范围内检测到95个候选基因。36%的候选基因参与发育和花粉管生长,表明这些基因是苜蓿生长发育的关键遗传机制。转录组分析表明,在三个生长阶段,分别有1,924、2,405和3,779个差异表达基因(DEG)上调,而在各阶段分别有1,651、2,613和4,730个DEG下调。结合我们的GWAS和转录组分析结果,总共鉴定出38个候选基因(7个在芽期差异表达,13个在初花期差异表达,18个在盛花期差异表达)。位于基因(参与类异戊二烯)上游区域的两个SNP与开花显著相关。该上游区域内的两个显著SNP在该群体中以四种不同的单倍型存在。本研究中鉴定的基因代表了一系列用于进一步研究苜蓿开花时间的候选靶点,可用于苜蓿分子育种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e36d/9310038/8f7d775d2d15/fpls-13-913947-g001.jpg

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