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Table_6_Identification and validation of two major QTLs for spikelet number per spike in wheat (Triticum aestivum L.).xlsx

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NIAID Data Ecosystem2026-05-01 收录
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https://figshare.com/articles/dataset/Table_6_Identification_and_validation_of_two_major_QTLs_for_spikelet_number_per_spike_in_wheat_Triticum_aestivum_L_xlsx/22794998
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The total number of spikelets (TSPN) and the number of fertile spikelets (FSPN) affect the final number of grains per spikelet in wheat. This study constructed a high-density genetic map using 55K single nucleotide polymorphism (SNP) arrays from a population of 152 recombinant inbred lines (RIL) from crossing the wheat accessions 10-A and B39. Twenty-four quantitative trait loci (QTLs) for TSPN and 18 QTLs for FSPN were localized based on the phenotype in 10 environments in 2019–2021. Two major QTLs, QTSPN/QFSPN.sicau-2D.4 (34.43–47.43 Mb) and QTSPN/QFSPN.sicau-2D.5(32.97–34.43 Mb), explained 13.97%–45.90% of phenotypic variation. Linked kompetitive allele-specific PCR (KASP) markers further validated these two QTLs and revealed that QTSPN.sicau-2D.4 had less effect on TSPN than QTSPN.sicau-2D.5 in 10-A×BE89 (134 RILs) and 10-A×Chuannong 16 (192 RILs) populations, and one population of Sichuan wheat (233 accessions). The alleles combination haplotype 3 with the allele from 10-A of QTSPN/QFSPN.sicau-2D.5 and the allele from B39 of QTSPN.sicau-2D.4 resulted in the highest number of spikelets. In contrast, the allele from B39 for both loci resulted in the lowest number of spikelets. Using bulk-segregant analysis–exon capture sequencing, six SNP hot spots that included 31 candidate genes were identified in the two QTLs. We identified Ppd-D1a from B39 and Ppd-D1d from 10-A and further analyzed Ppd-D1 variation in wheat. These results identified loci and molecular markers with potential utility for wheat breeding and laid a foundation for further fine mapping and cloning of the two loci.

小麦小穗总数(total number of spikelets, TSPN)与可育小穗数(fertile spikelets, FSPN)会影响每小穗的最终粒数。本研究以小麦种质10-A与B39杂交获得的152个重组自交系(recombinant inbred lines, RIL)群体为试材,利用55K单核苷酸多态性(single nucleotide polymorphism, SNP)芯片构建了高密度遗传图谱。基于2019—2021年10个环境下的表型数据,共定位到24个控制小穗总数的数量性状位点(quantitative trait loci, QTLs)以及18个控制可育小穗数的QTLs。其中两个主效QTL——QTSPN/QFSPN.sicau-2D.4(34.43~47.43 Mb)与QTSPN/QFSPN.sicau-2D.5(32.97~34.43 Mb)——可解释13.97%~45.90%的表型变异。通过连锁的竞争性等位基因特异性PCR(kompetitive allele-specific PCR, KASP)标记对上述两个QTL进行验证,结果显示在10-A×BE89(134个重组自交系)、10-A×川农16(192个重组自交系)以及四川小麦自然群体(233份种质)中,QTSPN.sicau-2D.4对小穗总数的调控效应弱于QTSPN/QFSPN.sicau-2D.5。携带QTSPN/QFSPN.sicau-2D.5的10-A来源等位基因与QTSPN.sicau-2D.4的B39来源等位基因的单倍型3,可获得最高的小穗数;反之,若两个位点均携带B39来源的等位基因,则小穗数最低。通过集群分离分析-外显子捕获测序(bulk-segregant analysis–exon capture sequencing),在这两个QTL区间内鉴定到6个SNP热点区域,共包含31个候选基因。我们从B39中鉴定到Ppd-D1a等位变异,从10-A中鉴定到Ppd-D1d,并对小麦中Ppd-D1的变异类型开展了进一步分析。本研究鉴定的位点与分子标记可为小麦育种提供潜在应用价值,同时为后续这两个位点的精细定位与克隆研究奠定了基础。
创建时间:
2023-05-10
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