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. 2019 Feb;46(1):1199-1212.
doi: 10.1007/s11033-019-04589-x. Epub 2019 Jan 18.

Differentially expressed genes between two groups of backcross inbred lines differing in fiber length developed from Upland × Pima cotton

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Differentially expressed genes between two groups of backcross inbred lines differing in fiber length developed from Upland × Pima cotton

Man Wu et al. Mol Biol Rep. 2019 Feb.

Abstract

Fiber length is one of the most important fiber quality traits in Upland cotton (Gossypium hirsutum L.), the most important fiber crop, and its improvement has been impeded in part by a lack of knowledge regarding its genetic basis. Introgressed backcross inbred lines (BILs) or near isogenic lines (NILs) differing in fiber length in the same genetic background, developed through advanced backcrossing between Upland cotton and extra-long staple cotton (G. barbadense L.), provide an important genomic resource for studying the molecular genetic basis of fiber length. In the present study, a long-fiber group and a short-fiber group, each with five BILs of Upland cotton, were selected from a BIL population between G. hirsutum and G. barbadense. Through a microarray-based comparative transcriptome analysis of developing fibers at 10 days postanthesis from the two groups, 1478 differentially expressed genes (DEGs) were identified. A total of 166 DEGs were then mapped to regions of fiber length quantitative trait loci (QTL), including 12 QTL hotspots and 2 QTL identified previously in the BIL population from which the two sets of BILs were selected. Several candidate genes possibly underlying the genetic control of fiber length differences between G. barbadense and G. hirsutum, including GhACX and GhKIF, were identified in this study. These results provide a list of positional candidate genes for the fine-scale mapping and map-based cloning of fiber length QTL, which will facilitate targeted gene transfer from G. barbadense to Upland cotton to further improve fiber quality.

Keywords: Affymetrix microarray; Fiber quality traits; Gossypium barbadense; Gossypium hirsutum; Quantitative RT-PCR.

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