Abdollahi Mandoulakani Babak, Nasri Shilan, Dashchi Sahar, Arzhang Sorour, Bernousi Iraj, Abbasi Holasou Hossein
Department of Plant Breeding and Biotechnology, Faculty of Agriculture, Urmia University, Urmia, Iran; Department of Agricultural Biotechnology, Institute of Biotechnology, Urmia University, Urmia, Iran.
Department of Life Science Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.
C R Biol. 2017 Jun-Jul;340(6-7):307-313. doi: 10.1016/j.crvi.2017.05.001. Epub 2017 Jun 12.
The identification of polymorphic markers associated with various quantitative traits allows us to test their performance for the exploitation of the extensive quantitative variation maintained in gene banks. In the current study, a set of 97 wheat germplasm accessions including 48 cultivars and 49 breeding lines were evaluated for 18 agronomic traits. The accessions were also genotyped with 23 ISSR, nine IRAP and 20 REMAP markers, generating a total of 658 clear and scorable bands, 86% of which were polymorphic. Both neighbor-joining dendrogram and Bayesian analysis of clustering of individuals revealed that the accessions could be divided into four genetically distinct groups, indicating the presence of a population structure in current wheat germplasm. Associations between molecular markers and 18 agronomic traits were analyzed using the mixed linear model (MLM) approach. A total of 94 loci were found to be significantly associated with agronomic traits (P≤0.01). The highest number of bands significantly associated with the 18 traits varied from 11 for number of spikelets spike (NSS) to two for grain yield in row (GRY). Loci ISSR16-9 and REMAP13-10 were associated with three different traits. The results of the current study provide useful information about the performance of retrotransposon-based and ISSR molecular markers that could be helpful in selecting potentially elite gene bank samples for wheat-breeding programs.
与各种数量性状相关的多态性标记的鉴定,使我们能够测试它们在利用基因库中维持的广泛数量变异方面的性能。在本研究中,对包括48个品种和49个育种系在内的97份小麦种质资源进行了18个农艺性状的评估。这些种质资源还使用23个ISSR、9个IRAP和20个REMAP标记进行了基因分型,共产生658条清晰且可评分的条带,其中86%为多态性条带。个体的邻接法聚类树状图和贝叶斯聚类分析均表明,这些种质资源可分为四个遗传上不同的组,这表明当前小麦种质中存在群体结构。使用混合线性模型(MLM)方法分析了分子标记与18个农艺性状之间的关联。共发现94个位点与农艺性状显著相关(P≤0.01)。与18个性状显著相关的条带数量最多的,从小穗数(NSS)的11条到每行籽粒产量(GRY)的2条不等。位点ISSR16 - 9和REMAP13 - 10与三种不同性状相关。本研究结果提供了有关基于反转录转座子的标记和ISSR分子标记性能的有用信息,这可能有助于为小麦育种计划选择潜在的优良基因库样本。