ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2026
Combined genome and transcriptome analysis of boll weight and lint percentage traits in Gossypium barbadense.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
key messageExpression of sugar-related genes downregulated while hormone-related genes upregulated during the later stages of fiber development is related to the superior fiber quality but low fiber yield of G. barbadense. Compared to Gossypium hirsutum, G. barbadense exhibits superior fiber quality but relatively lower fiber yield. Exploring the genetic basis of yield-related traits could facilitate yield improvement in G. barbadense. Here, we conducted a genome-wide association study (GWAS) on two yield components, boll weight and lint percentage, using 246 G. barbadense accessions. We identified a total of 272 main-effect quantitative trait loci (qtls) and 34 QTL-by-environment interaction loci (qtlEs) for these traits, among which 57 qtls and 3 qtlEs overlapped with previously reported loci. To explore the potential mechanism between yield and fiber quality, we extracted the genes located within these loci and compared their expression patterns between G. barbadense accessions with extreme differences in fiber quality or yield traits. Gene ontology analysis of differentially expressed genes revealed that sugar- and hormone-related genes were antagonistically expressed during the later stages of fiber development, correlating with high yield and superior fiber quality, respectively. Local association analysis further identified 67 candidate genes associated with the two yield components, 20 of which were located within two introgression segments (ISs) from G. hirsutum into G. barbadense. Among them, A10-1-Y IS reduced the yield of G. barbadense, while D08-1-Y IS increased the yield of G. barbadense. Finally, we demonstrated that two haplotypes of the gene GB_A06G0815 (encoding beta-galactosidase 1), GB_A06G0815
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