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QTL 作图和 BSR-seq 揭示了与大豆(Glycine max)散生多叶表型相关的位点和候选基因。

QTL mapping and BSR-seq revealed loci and candidate genes associated with the sporadic multifoliolate phenotype in soybean (Glycine max).

机构信息

Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.

Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, 518057, China.

出版信息

Theor Appl Genet. 2024 Nov 8;137(12):262. doi: 10.1007/s00122-024-04765-z.

DOI:10.1007/s00122-024-04765-z
PMID:39511005
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11543727/
Abstract

The QTLs and candidate genes governing the multifoliolate phenotype were identified by combining linkage mapping with BSR-seq, revealing a possible interplay between genetics and the environment in soybean leaf development. Soybean, as a legume, is typified by trifoliolate leaves. Although multifoliolate leaves (compound leaves with more than three leaflets each) have been reported in soybean, including sporadic appearances in the first compound leaves in a recombinant inbred line (RIL) population from a cross between cultivated soybean C08 and wild soybean W05 from this study, the genetic basis of this phenomenon is still unclear. Here, we integrated quantitative trait locus (QTL) mapping with bulked segregant RNA sequencing (BSR-seq) to identify the genetic loci associated with the multifoliolate phenotype in soybean. Using linkage mapping, ten QTLs related to the multifoliolate trait were identified. Among these, a significant and major QTL, qMF-2-1 on chromosome 2 and consistently detected across biological replicates, explained more than 10% of the phenotypic variation. Together with BSR-seq analyses, which analyzed the RILs with the highest multifoliolate frequencies and those with the lowest frequencies as two distinct bulks, two candidate genes were identified: Glyma.06G204300 encoding the transcription factor TCP5, and Glyma.06G204400 encoding LONGIFOLIA 2 (LNG2). Transcriptome analyses revealed that stress-responsive genes were significantly differentially expressed between high-multifoliolate occurrence lines and low occurrence ones, indicating environmental factors probably influence the appearance of multifoliolate leaves in soybean through stress-responsive genes. Hence, this study offers new insights into the genetic mechanism behind the multifoliolate phenotype in soybean.

摘要

利用连锁作图与 BSR-seq 相结合的方法鉴定了控制多叶表型的 QTL 和候选基因,揭示了大豆叶片发育中遗传与环境之间可能存在相互作用。大豆作为一种豆科植物,其典型特征是三叶复叶。虽然多叶(每个复叶具有三个以上的小叶)在大豆中已有报道,包括在本研究中来自栽培大豆 C08 和野生大豆 W05 杂交的重组自交系(RIL)群体中第一复叶的偶然出现,但这种现象的遗传基础仍不清楚。在这里,我们将数量性状位点(QTL)作图与混池分离群体 RNA 测序(BSR-seq)相结合,以鉴定与大豆多叶表型相关的遗传位点。利用连锁作图,鉴定出与多叶性状相关的 10 个 QTL。其中,在染色体 2 上的一个显著且主要的 QTL qMF-2-1 在多个生物学重复中均有检测到,解释了超过 10%的表型变异。结合 BSR-seq 分析,对多叶频率最高和最低的 RILs 进行两个不同混池的分析,鉴定出两个候选基因:编码转录因子 TCP5 的 Glyma.06G204300 和编码 LONGIFOLIA 2(LNG2)的 Glyma.06G204400。转录组分析表明,高多叶发生系和低发生系之间应激响应基因的表达差异显著,表明环境因素可能通过应激响应基因影响大豆多叶的出现。因此,本研究为大豆多叶表型的遗传机制提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e564/11543727/27360ec41512/122_2024_4765_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e564/11543727/958fc148b5c5/122_2024_4765_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e564/11543727/88af01f9c9d9/122_2024_4765_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e564/11543727/cfa66cae7632/122_2024_4765_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e564/11543727/31d7569458c6/122_2024_4765_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e564/11543727/4945f5dd1135/122_2024_4765_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e564/11543727/27360ec41512/122_2024_4765_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e564/11543727/958fc148b5c5/122_2024_4765_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e564/11543727/88af01f9c9d9/122_2024_4765_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e564/11543727/cfa66cae7632/122_2024_4765_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e564/11543727/31d7569458c6/122_2024_4765_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e564/11543727/4945f5dd1135/122_2024_4765_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e564/11543727/27360ec41512/122_2024_4765_Fig6_HTML.jpg

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