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

Identification and association of ISSR markers for thermal stress in polyvoltine silkworm Bombyx... 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 thermotolerance for their effective utilization in breeding programme, 15 selected polyvoltine silkworm races were studied for their thermotolerance 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 λ= 0.004; χ2 = 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 (8071300, 8083000, 8084000, 8344000, and 8343000) showing correlation with pupation rate after thermal treatment. Out of them, marker 808 3000 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Genetics Springer Journals

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

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Publisher
Springer Journals
Copyright
Copyright © 2007 by Pleiades Publishing, Inc.
Subject
Biomedicine; Human Genetics; Animal Genetics and Genomics; Microbial Genetics and Genomics
ISSN
1022-7954
eISSN
1608-3369
D.O.I.
10.1134/S1022795407080042
Publisher site
See Article on Publisher Site

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 thermotolerance for their effective utilization in breeding programme, 15 selected polyvoltine silkworm races were studied for their thermotolerance 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 λ= 0.004; χ2 = 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 (8071300, 8083000, 8084000, 8344000, and 8343000) showing correlation with pupation rate after thermal treatment. Out of them, marker 808 3000 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.

Journal

Russian Journal of GeneticsSpringer Journals

Published: Aug 30, 2007

References

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