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构建菜豆综合连锁图谱。III. 控制宿主 - 细菌相互作用的遗传因子定位

Toward an integrated linkage map of common bean. III. Mapping genetic factors controlling host-bacteria interactions.

作者信息

Nodari R O, Tsai S M, Guzmán P, Gilbertson R L, Gepts P

机构信息

Department of Agronomy and Range Science, University of California, Davis 95616-8515.

出版信息

Genetics. 1993 May;134(1):341-50. doi: 10.1093/genetics/134.1.341.

Abstract

Restriction fragment length polymorphism (RFLP)-based genetic linkage maps allow us to dissect the genetic control of quantitative traits (QT) by locating individual quantitative trait loci (QTLs) on the linkage map and determining their type of gene action and the magnitude of their contribution to the phenotype of the QT. We have performed such an analysis for two traits in common bean, involving interactions between the plant host and bacteria, namely Rhizobium nodule number (NN) and resistance to common bacterial blight (CBB) caused by Xanthomonas campestris pv. phaseoli. Analyses were conducted in the progeny of a cross between BAT93 (fewer nodules; moderately resistant to CBB) and Jalo EEP558 (more nodules; susceptible to CBB). An RFLP-based linkage map for common bean based on 152 markers had previously been derived in the F2 of this cross. Seventy F2-derived F3 families were inoculated in separate greenhouse experiments with Rhizobium tropici strain UMR1899 or X. c. pv. phaseoli isolate isolate W18. Regression and interval mapping analyses were used to identify genomic regions involved in the genetic control of these traits. These two methods identified the same genomic regions for each trait, with a few exceptions. For each trait, at least four putative QTLs were identified, which accounted for approximately 50% and 75% of the phenotypic variation in NN and CBB resistance, respectively. A chromosome region on linkage group D7 carried factor(s) influencing both traits. In all other cases, the putative QTLs affecting NN and CBB were located in different linkage groups or in the same linkage group, but far apart (more than 50 cM). Both BAT93 and Jalo EEP558 contributed alleles associated with higher NN, whereas CBB resistance was always associated with BAT93 alleles. Further investigations are needed to determine whether the QTLs for NN and CBB on linkage group D7 represent linked genes or the same gene with pleiotropic effects. Identification of the QTLs raises the possibility of initiating map-based cloning and marker-assisted selection for these traits.

摘要

基于限制性片段长度多态性(RFLP)的遗传连锁图谱使我们能够通过将单个数量性状基因座(QTL)定位在连锁图谱上,并确定它们的基因作用类型及其对数量性状(QT)表型的贡献大小,来剖析数量性状的遗传控制。我们对菜豆的两个性状进行了这样的分析,这两个性状涉及植物宿主与细菌之间的相互作用,即根瘤菌根瘤数(NN)和对野油菜黄单胞菌菜豆致病变种引起的普通细菌性疫病(CBB)的抗性。分析是在BAT93(根瘤较少;对CBB中度抗性)和Jalo EEP558(根瘤较多;对CBB敏感)杂交后代中进行的。此前已在该杂交组合的F2代中构建了基于152个标记的菜豆RFLP连锁图谱。70个F2衍生的F3家系在单独的温室实验中接种了热带根瘤菌菌株UMR1899或野油菜黄单胞菌菜豆致病变种分离株W18。回归分析和区间作图分析用于确定参与这些性状遗传控制的基因组区域。除少数例外,这两种方法为每个性状确定了相同的基因组区域。对于每个性状,至少鉴定出了四个假定的QTL,它们分别占NN和CBB抗性表型变异的约50%和75%。连锁群D7上的一个染色体区域携带影响这两个性状的因子。在所有其他情况下,影响NN和CBB的假定QTL位于不同的连锁群中或同一连锁群中,但距离很远(超过50 cM)。BAT93和Jalo EEP558都贡献了与较高NN相关的等位基因,而CBB抗性总是与BAT93等位基因相关。需要进一步研究以确定连锁群D7上NN和CBB的QTL是代表连锁基因还是具有多效性的同一基因。QTL的鉴定增加了对这些性状启动基于图谱的克隆和标记辅助选择的可能性。

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