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Genetic diversity and relationships of diploid and tetraploid cottons revealed using AFLP
Authors:A M Abdalla  O U K Reddy  K M El-Zik  A E Pepper
Institution:(1) Agronomy Department, Faculty of Agriculture, Cairo University, Giza, Egypt, EG;(2) Department of Soil and Crop Sciences, Texas A & M University, College Station, TX 77843–2474, USA, US;(3) Department of Biology, Texas A & M University, College Station, TX 77843–3258, USA e-mail: apepper@bio.tamu.edu Fax: +1 979-862-4790, US
Abstract:Gossypium species (± 49) represent a vast resource of genetic diversity for the improvement of cultivated cotton. To determine intra- and inter-specific genetic relationships within a diverse collection of Gossypium taxa, we employed 16 AFLP primer combinations on three diploid species, Gossypium herbaceum L. (A1), Gossypium arboreum L. (A2) and Gossypium raimondii Ulbrich (D5), and 26 AD allotetraploid accessions (Gossypium barbadense L. and Gossypium hirsutum L.). A total of 1180 major AFLP bands were observed; 368 of these (31%) were polymorphic. Genetic similarities among all taxa ranged from 0.21 (between the diploid species G. arboreum and G. raimondii) up to 0.89 (within G. barbadense). Phenetic trees based on genetic similarities (UPGMA, N-J) were consistent with known taxonomic relationships. In some cases, well-supported phylogenetic relationships, as well as evidence of genetic reticulation, could also be inferred. UPGMA trees and principal coordinate analysis based on genetic similarity matrices were used to identify genetically distinct cultivars that are potentially important sources of germplasm for cotton improvement, particularly of fiber quality traits. We show that AFLP is useful for estimating genetic relationships across a wide range of taxonomic levels, and for analyzing the evolutionary and historical development of cotton cultivars at the genomic level. Received: 17 January 2000 / Accepted: 4 May 2000
Keywords:  DNA fingerprinting  Gossypium species  Genomic evolution  Genetic similarity  Fiber quality
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