Groupwise sampling: a strategy to sample core entries from RAPD marker data with application to mulberry

Key message

A strategy for effective utilization of RAPD marker data for sampling diverse entries was suggested and utilized for the development of mulberry core collection.

Abstract

Mulberry (Morus spp.) is a perennial tree cultivated mainly for its foliage in sericulture industry and also known for its edible fruits, fodder, and valued timber. In recent years, mulberry cultivation is confronted with several abiotic and biotic stresses due to inimical climatic factors and this has necessitated the genetic improvement of the crop. Core collection is an efficient way of harnessing the trait variation and novel genes available in a natural gene pool for the development of improved elite lines. In this study, we analyzed 850 mulberry accessions assembled from 23 countries with separate sets of polymorphic RAPD markers along with a limited number of ISSR, SSR, and phenotypic markers. A total of 75 accessions were duplicated in 20 clusters among five natural groups. The limitations of the RAPD marker system like problem in cross gel comparison were tackled by adopting a novel “Groupwise sampling” approach. A mulberry core collection with 100 diverse entries was selected using maximization method implemented in MSTRAT software. The mean Dice dissimilarity coefficient computed from marker data was 0.308 among core entries. Indigenous and exotic entries were not discriminated in cluster and principal component analysis supporting the spread of mulberry far from the place of origin. Accessions belonging to two wild mulberry species from Andaman Islands and Himalayan region formed separate clusters indicating the geographical, reproductive, and taxonomic distinction. The identified core collection will be available for researchers for intensive mining of desirable alleles in mulberry improvement as well as in genome resequencing program.