QTL 图谱和 BSR-seq 发现了与大豆(Glycine max)零星多小叶表型相关的基因座和候选基因。

IF 4.4 1区 农林科学 Q1 AGRONOMY Theoretical and Applied Genetics Pub Date : 2024-11-08 DOI:10.1007/s00122-024-04765-z
Zhili Wang, Yongchao Niu, Yichun Xie, Cheng Huang, Wai-Shing Yung, Man-Wah Li, Fuk-Ling Wong, Hon-Ming Lam
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引用次数: 0

摘要

关键信息:通过将连锁图谱与BSR-seq相结合,确定了调控多小叶表型的QTLs和候选基因,揭示了大豆叶片发育过程中遗传与环境之间可能存在的相互作用。作为豆科植物,大豆的典型特征是具有三小叶。虽然已有大豆多小叶(每片复叶有三片以上小叶)的报道,包括本研究中栽培大豆 C08 与野生大豆 W05 杂交的重组近交系(RIL)群体中零星出现的第一片复叶,但这一现象的遗传基础仍不清楚。在此,我们将定量性状位点(QTL)作图与大宗分离RNA测序(BSR-seq)相结合,以确定与大豆多小叶表型相关的遗传位点。通过连锁作图,确定了 10 个与多小叶性状相关的 QTL。其中,一个显著的主要 QTL(位于 2 号染色体上的 qMF-2-1)在各生物重复中被一致检测到,解释了 10%以上的表型变异。BSR-seq分析将多小叶频率最高的RIL和频率最低的RIL作为两个不同的群体进行分析,结果发现了两个候选基因:Glyma.06G204300 编码转录因子 TCP5,Glyma.06G204400 编码 LONGIFOLIA 2 (LNG2)。转录组分析表明,胁迫响应基因在多小叶发生率高的品系和发生率低的品系之间存在显著的表达差异,表明环境因素可能通过胁迫响应基因影响大豆多小叶的出现。因此,本研究为大豆多小叶表型背后的遗传机制提供了新的见解。
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QTL mapping and BSR-seq revealed loci and candidate genes associated with the sporadic multifoliolate phenotype in soybean (Glycine max).

Key message: 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.

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来源期刊
CiteScore
9.60
自引率
7.40%
发文量
241
审稿时长
2.3 months
期刊介绍: Theoretical and Applied Genetics publishes original research and review articles in all key areas of modern plant genetics, plant genomics and plant biotechnology. All work needs to have a clear genetic component and significant impact on plant breeding. Theoretical considerations are only accepted in combination with new experimental data and/or if they indicate a relevant application in plant genetics or breeding. Emphasizing the practical, the journal focuses on research into leading crop plants and articles presenting innovative approaches.
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