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多化性家蚕热应激的ISSR标记鉴定与关联分析

Identification and association of ISSR markers for thermal stress in polyvoltine silkworm Bombyx mori.

作者信息

Srivastava P P, Kar P K, Awasthi A K, Urs S Raje

机构信息

Seribiotech Research Laboratory, Central Silk Board, Carmelram Post, Kodathi, Bangalore 560 035, Karnataka, India.

出版信息

Genetika. 2007 Aug;43(8):1038-45.

Abstract

Evaluation of genetic resources is an essential prerequisite for their effective utilization. In India, the tropical climate prevails in most of the sericultural belts, where temperature goes beyond the ambient during summer, adversely affecting the silkworm rearing. Although polyvoltine silkworms are poor in silk content, they are mostly tolerant to tropical conditions and diseases. With an aim to identify potential silkworm races/breeds specific to thermo-tolerance for their effective utilization in breeding programme, 15 selected polyvoltine silkworm races were studied for their thermo-tolerance behaviour. Their genomic DNA samples were analyzed for ISSR-PCR using 15 selected primers. The UPGMA analysis based on Nei and Li algorithm has clustered the 15 silkworm races into five groups and one isolate. ALSCAL-multidimensional scaling has not only supported the information generated by the dendrogram, but it has made the genetic distance among races more clear and substantiating their status in terms of thermal stress where pupation rate was taken as indicator. Further, discriminant function analysis (DFA) was done with three groups of silkworms classified for thermal stress viz. susceptible, moderately tolerant and tolerant. The canonical correlation value was estimated to be 0.987 (Wilk's lambda = 0.004; chi2 = 36.044, p < 0.05). DFA clearly discriminated the above three groups. Beta statistics with t value and its significance for the markers identified through stepwise multiple regression analysis (MRA) revealed a total of five bands (807(1300), 808(3000), 808(4000), 834(4000), and 834(3000)) showing correlation with pupation rate after thermal treatment. Out of them, marker 8083000 showed maximum and highly significant correlation (r = 0.757, p < 0.001, t = 4.182) with pupation rate among the silkworm races. The identified putative markers are being used to develop DNA marker to be used in evolving thermo-tolerant silkworm breeds using marker assisted selection programme.

摘要

遗传资源评估是其有效利用的必要前提。在印度,大多数养蚕带盛行热带气候,夏季气温超过环境温度,对养蚕产生不利影响。尽管多化性蚕的丝含量较低,但它们大多能耐受热带条件和疾病。为了鉴定耐热性强的潜在蚕品种/品系,以便在育种计划中有效利用,对15个选定的多化性蚕品种的耐热行为进行了研究。使用15个选定的引物对其基因组DNA样本进行ISSR-PCR分析。基于Nei和Li算法的UPGMA分析将15个蚕品种聚类为五组和一个单独的品种。ALSCAL多维标度分析不仅支持了树形图生成的信息,而且使品种间的遗传距离更加清晰,并根据以化蛹率为指标的热应激情况证实了它们的地位。此外,对分为热应激的三组蚕进行了判别函数分析(DFA),即敏感组、中度耐受组和耐受组。典型相关值估计为0.987(威尔克斯lambda = 0.004;卡方 = 36.044,p < 0.05)。DFA清楚地区分了上述三组。通过逐步多元回归分析(MRA)鉴定的标记的β统计量及其t值和显著性显示,共有五条带(807(1300)、808(3000)、808(4000)、834(4000)和834(3000))与热处理后的化蛹率相关。其中,标记8083000与蚕品种中的化蛹率显示出最大且高度显著的相关性(r = 0.757,p < 0.001,t = 4.182)。所鉴定的推定标记正用于开发DNA标记,以便在利用标记辅助选择计划培育耐热蚕品种中使用。

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