Rio Simon, Toniutti Lucile, Salmon Frédéric, Hervouet Catherine, Cardi Céline, Mournet Pierre, Guiougou Chantal, Marius Franck, Mina Claude, Delos Jean-Marie Eric, Lambert Frédéric, Madec Camille, Efile Jean-Claude, Cruaud Corinne, Aury Jean Marc, D'Hont Angélique, Hoarau Jean-Yves, Martin Guillaume
CIRAD, UMR AGAP Institut, F-34398 Montpellier, France.
AGAP Institut, CIRAD, INRAE, Institut Agro, Université de Montpellier, Montpellier, France.
Hortic Res. 2024 Nov 6;12(2):uhae307. doi: 10.1093/hr/uhae307. eCollection 2025 Feb.
Banana breeding is hampered by the very low fertility of domesticated bananas and the lack of knowledge about the genetic determinism of agronomic traits. We analysed a breeding population of 2723 triploid hybrids resulting from crosses between diploid and tetraploid parents, which was evaluated over three successive crop cycles for 24 traits relating to yield components and plant, bunch, and fruit architectures. A subset of 1129 individuals was genotyped by sequencing, revealing 205 612 single-nucleotide polymorphisms (SNPs). Most parents were heterozygous for one or several large reciprocal chromosomal translocations, which are known to impact recombination and chromosomal segregation. We applied two linear mixed models to detect associations between markers and traits: (i) a standard model with a kinship calculated using all SNPs and (ii) a model with chromosome-specific kinships that aims at recovering statistical power at alleles carried by long non-recombined haplotypic segments. For 23 of the 24 traits, we identified one to five significant quantitative trait loci (QTLs) for which the origin of favourable alleles could often be determined amongst the main ancestral contributors to banana cultivars. Several QTLs, located in the rearranged regions, were only detected using the second model. The resulting QTL landscape represents an important resource to support breeding programmes. The proposed strategy for recovering power at SNPs carried by long non-recombined rearranged haplotypic segments is an important methodological advance for future association studies in banana and other species affected by chromosomal rearrangements.
香蕉育种受到驯化香蕉极低育性以及对农艺性状遗传决定因素缺乏了解的阻碍。我们分析了一个由二倍体和四倍体亲本杂交产生的包含2723个三倍体杂种的育种群体,该群体在三个连续作物周期内对与产量构成要素以及植株、果穗和果实结构相关的24个性状进行了评估。通过测序对1129个个体的子集进行了基因分型,揭示了205612个单核苷酸多态性(SNP)。大多数亲本在一个或几个大的相互染色体易位方面是杂合的,已知这些易位会影响重组和染色体分离。我们应用了两种线性混合模型来检测标记与性状之间的关联:(i)一种使用所有SNP计算亲缘关系的标准模型,以及(ii)一种具有染色体特异性亲缘关系的模型,该模型旨在恢复由长的未重组单倍型片段携带的等位基因的统计功效。对于24个性状中的23个,我们鉴定出了1至5个显著的数量性状位点(QTL),其中有利等位基因的来源通常可以在香蕉品种的主要祖先贡献者中确定。几个位于重排区域的QTL仅使用第二个模型检测到。所得的QTL图谱是支持育种计划的重要资源。所提出的在长的未重组重排单倍型片段携带的SNP上恢复功效的策略,是香蕉和其他受染色体重排影响的物种未来关联研究的一项重要方法学进展。