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AFLP‐RGA Markers in Comparison with RGA and AFLP in Cultivated Tetraploid Cotton
Author(s) -
Zhang Jinfa,
Yuan Youlu,
Niu Chen,
Hinchliffe Doug J.,
Lu Yingzhi,
Yu Shuxun,
Percy Richard G.,
Ulloa Mauricio,
Cantrell Roy G.
Publication year - 2007
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.2135/cropsci2006.04.0249
Subject(s) - amplified fragment length polymorphism , biology , genetics , primer (cosmetics) , gene , genotype , genome , genetic marker , genetic diversity , population , chemistry , demography , organic chemistry , sociology
Disease resistance ( R ) genes have been isolated from many plant species and R genes with domains of nucleotide binding sites (NBS) and leucine‐rich repeats (LRR) represent the largest R gene family. The objective of this investigation was to test a resistance gene analog (RGA) anchored marker system, called amplified fragment length polymorphism (AFLP)‐RGA in cotton ( Gossypium spp.). The AFLP‐RGA analysis uses one degenerate RGA primer designed from various NBS and LRR domains of R genes in combination with one selective AFLP primer in a PCR reaction. Out of a total of 446 AFLP‐RGA bands amplified by 22 AFLP‐RGA primer combinations, 76 (17.0%) and 37 (8.3%) were polymorphic within four G. hirsutum L. genotypes and four G. barbadense L. cotton genotypes, respectively. The number of polymorphic AFLP‐RGA bands (256) between G. hirsutum and G. barbadense was much higher (57.4%). This level of polymorphism mirrors that of AFLP. The genetic similarity among the eight genotypes based on AFLP‐RGA or AFLP lead to similar results in genotype grouping at the species and intraspecies level. However, RGA markers amplified by only degenerate RGA primers could not discriminate several genotypes. AFLP‐RGA offers a great flexibility for numerous primer combinations in a genome‐wide search for RGAs. Due to the distribution of RGAs or RGA clusters in the plant genome, genome‐wide AFLP‐RGA analysis provides a useful resource for candidate gene mapping of R genes for disease resistance in cotton.