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利用连锁图谱和RNA测序鉴定紫花苜蓿(Medicago sativa L.)中与水分亏缺响应下生物量产量和饲料品质相关的QTL和候选基因。

Identification of QTL and candidate genes associated with biomass yield and Feed Quality in response to water deficit in alfalfa ( L.) using linkage mapping and RNA-Seq.

作者信息

Jiang Xueqian, Yu Andong, Zhang Fan, Yang Tianhui, Wang Chuan, Gao Ting, Yang Qingchuan, Yu Long-Xi, Wang Zhen, Kang Junmei

机构信息

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

Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Ningxia, China.

出版信息

Front Plant Sci. 2022 Oct 17;13:996672. doi: 10.3389/fpls.2022.996672. eCollection 2022.

Abstract

Biomass yield and Feed Quality are the most important traits in alfalfa ( L.), which directly affect its economic value. Drought stress is one of the main limiting factors affecting alfalfa production worldwide. However, the genetic and especially the molecular mechanisms for drought tolerance in alfalfa are poorly understood. In this study, linkage mapping was performed in an F1 population by combining 12 phenotypic data (biomass yield, plant height, and 10 Feed Quality-related traits). A total of 48 significant QTLs were identified on the high-density genetic linkage maps that were constructed in our previous study. Among them, nine main QTLs, which explained more than 10% phenotypic variance, were detected for biomass yield (one), plant height (one), CP (two), ASH (one), P (two), K(one), and Mg (one). A total of 31 candidate genes were identified in the nine main QTL intervals based on the RNA-seq analysis under the drought condition. Blast-P was further performed to screen candidate genes controlling drought tolerance, and 22 functional protein candidates were finally identified. The results of the present study will be useful for improving drought tolerance of alfalfa varieties by marker-assisted selection (MAS), and provide promising candidates for further gene cloning and mechanism study.

摘要

生物量产量和饲料品质是苜蓿最重要的性状,直接影响其经济价值。干旱胁迫是影响全球苜蓿生产的主要限制因素之一。然而,苜蓿耐旱的遗传机制,尤其是分子机制尚不清楚。本研究通过结合12个表型数据(生物量产量、株高和10个与饲料品质相关的性状),在一个F1群体中进行连锁图谱构建。在我们之前构建的高密度遗传连锁图谱上共鉴定出48个显著的QTL。其中,检测到9个主效QTL,分别解释了生物量产量(1个)、株高(1个)、粗蛋白(2个)、灰分(1个)、磷(2个)、钾(1个)和镁(1个)超过10%的表型变异。基于干旱条件下的RNA-seq分析,在这9个主效QTL区间共鉴定出31个候选基因。进一步通过Blast-P筛选控制耐旱性的候选基因,最终鉴定出22个功能蛋白候选基因。本研究结果将有助于通过标记辅助选择(MAS)提高苜蓿品种的耐旱性,并为进一步的基因克隆和机制研究提供有前景的候选基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21ac/9619099/55953551903c/fpls-13-996672-g001.jpg

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