Research Article

Insight in the utilization of Marker Assisted Selection in Cotton (A Review)  

Yuksel Bolek1 , Khezir Hayat1 , Adem Bardak1 , MuhammadTehseen Azhar2
1. Department of Agricultural Biotechnology, Faculty of Agriculture, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey
2. Department of Plant Breeding and Genetics University of Agriculture, Faisalabad, Pakistan
Author    Correspondence author
Molecular Plant Breeding, 2016, Vol. 7, No. 10   doi: 10.5376/mpb.2016.07.0010
Received: 26 Nov., 2015    Accepted: 27 Nov., 2015    Published: 30 Mar., 2016
© 2016 BioPublisher Publishing Platform
Preferred citation for this article:

Bolek Y., Hayat K., Bardak A., and Azhar M.T., 2016, Insight in the utilization of Marker Assisted Selection in Cotton (A Review), Molecular Plant Breeding, 7(10):1-17

Abstract

Upland cotton represents the most important, and natural fiber crop in the world. Limitations in conventional breeding program for genetic improvement is due to the lack of knowledge about yield productivity and fiber quality traits. The use of molecular markers for the detection and exploitation of DNA polymorphism is one of the significant developments in the field of molecular genetics. The availability of reference genome of G. raimondii L., G. arboreum L., and next generation sequencing, routed it on the fast track for exploring the variability among genotypes of cotton. There is no molecular marker available which can fulfill all the requirements of cotton scientists. Plant breeders should utilize genomics in the breeding programs for effective selection of potential parents for certain traits. The genomic research work could use quantitative trait loci mapping, genome wide associations and next generation sequencing strategies. This review highlights the recent developments of various molecular markers for analyzing genetic diversity, constructing linkage maps and genomics tools which will assist in marker assisted selection in cotton.

Keywords
Cotton; Genome; Genetic diversity; DNA marker; SSR; SNP; GBS; MAS; GWAS
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