利用与抗虫性状相关的SSR标记对斯里兰卡玉米材料进行鉴定

M. Nashath, A. Mubarak, A. Kumara
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摘要

玉米遗传多样性是培育具有优良农艺性状的玉米新品种的重要条件。地方品种是无价的资源,可以用来加强作物育种计划。因此,本研究旨在利用与抗虫性状相关的SSR标记对19个斯里兰卡玉米地方品种和一个优良商业品种巴德拉进行鉴定。利用已建立的程序,从未成熟玉米叶片中提取基因组DNA,并利用bnlg1017、bnlg339、umc1021、umc1187、bnlg1346、bnlg1588、bnlg1556、umc1178、nc134、umc1688和umc1045引物进行PCR。采用GenAlex和DARwin软件进行数据分析。结果显示,共扩增到77个等位基因,其中bnlg1588最多扩增到13个,有效扩增到11.28个。基因多样性和PIC值最高的是bnlg1588,分别为0.911和0.904,最低的是umc1045,分别为0.640和0.581。在所使用的SSR引物中,bnlg1588、bnlg339、bnlg1346和bnlg1017具有较高的遗传多样性参数。SEU7、SEU11、SEU16和SEU20的遗传多样性高于Bhadra, SEU17的遗传多样性最低。树状图将20份玉米材料划分为两个主要聚类,平均相似度为0.752。同样,主坐标分析解释了40.63%的遗传变异,并将玉米材料分为两类。考虑到遗传多样性参数,来自集群I的SEU6和SEU7以及来自集群II的SEU9、SEU11、SEU16和SEU20可以用于斯里兰卡的战略性玉米育种计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of Sri Lankan maize accessions using SSR markers associated with insect-resistant traits
Maize genetic diversity is utmost to develop new varieties conferred with favorable agronomic traits. Landraces are priceless resources that can serve to strengthen crop breeding programs. Hence, this study aimed to characterize 19 Sri Lankan maize landraces and one elite commercial variety Bhadra using SSR markers linked with insect-resistant traits. Using established procedures, genomic DNA extraction was done from immature maize leaves and PCR was performed utilizing bnlg1017, bnlg339, umc1021, umc1187, bnlg1346, bnlg1588, bnlg1556, umc1178, nc134, umc1688 and umc1045 primers. GenAlex and DARwin software were used for the data analysis. According to the results, a sum of 77 alleles was amplified with the maximum number of observed (13) and effective (11.28) alleles for bnlg1588. The highest gene diversity and PIC values were recorded in bnlg1588 (0.911 and 0.904 respectively), while the lowest was in umc1045 (0.640 and 0.581 respectively). Out of the total SSR primers used, bnlg1588, bnlg339, bnlg1346, and bnlg1017 linked with FAW-resistant traits were found to be more informative based on their genetic diversity parameters. The accessions SEU7, SEU11, SEU16, and SEU20 showed more genetic diversity compared to Bhadra, whereas SEU17 showed the lowest diversity. The dendrogram divided the 20 maize accessions into two main clusters with the mean similarity of 0.752. Similarly, the principle coordinate analysis explained 40.63 % of the genetic variation and grouped the maize accessions into two. Considering the genetic diversity parameters, the accessions SEU6 and SEU7 from cluster I and SEU9, SEU11, SEU16, and SEU20 from cluster II could be utilized for strategic maize breeding programs in Sri Lanka.
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