Quantitative trait loci analysis of fiber quality traits using a random-mated recombinant inbred population in Upland cotton (Gossypium hirsutum L.)

Selection signatures for fiber production in commercial species: A review

Natural fibers derived from diverse animal species have gained increased attention in recent years due to their favorable environmental effects, long-term sustainability benefits, and remarkable physical and mechanical properties that make them valuable raw materials used for textile and non-textile production. Domestication and selective breeding for the economically significant fiber traits play an imperative role in shaping the genomes and, thus, positively impact the overall productivity of the various fiber-producing species. These selection pressures leave unique footprints on the genome due to alteration in the allelic frequencies at specific loci, characterizing selective sweeps. Recent advances in genomics have enabled the discovery of selection signatures across the genome using a variety of methods. The increased demand for 'green products' manufactured from natural fibers necessitates a detailed investigation of the genomes of the various fiber-producing plant and animal species to identify the candidate genes associated with important fiber attributes such as fiber diameter/fineness, color, length, and strength, among others. The objective of this review is to present a comprehensive overview of the concept of selection signature and selective sweeps, discuss the main methods used for its detection, and address the selection signature studies conducted so far in the diverse fiber-producing animal species.

Genetic Analysis of Gossypium Fiber Quality Traits in Reciprocal Advanced Backcross Populations

In mapping populations segregating for many loci, the large amount of variation among genotypes often masks small-effect quantitative trait loci (QTL). This problem can be reduced by development of populations with fewer chromosome segments segregating. Here, we report early QTL detection in reciprocal advanced backcross populations from crosses between elite Gossypium hirsutum L. 'Acala Maxxa' (GH) and G. barbadense L. 'Pima S6' (GB). A total of 297 BCF and BCF progeny rows-127 segregating for GB chromosome segments in GH background and 170 segregating for GH chromosome segments in GB background-were evaluated in three environments. Totals of 3186 and 3026 polymorphic single-nucleotide polymorphisms (SNPs) in GH and GB backgrounds, respectively, were identified and used for trait mapping. Small-effect QTL (<10% variance explained) made up 87 and 100% of QTL in GH and GB backgrounds, respectively. In both species, favorable alleles were found with effects being masked or neutralized by unfavorable alleles, with greater scope for improvement of GH than GB by introgressive breeding. A total of three stable QTL-two in GH background for fiber elongation (ELO) and micronaire (MIC) and one in GB background for upper-half mean length (UHM)-were identified in two out of three environments. Curiously, only four QTL-three for UHM and one for ELO-showed the expected opposite effects in reciprocal backgrounds, perhaps reflecting the combined consequences of epistasis, small phenotypic effects, and low coverage of some genomic regions. Along with new information for marker-assisted breeding, this study adds to knowledge that can be used to unravel complex genetic networks governing fiber quality traits.

Detection, Validation, and Application of Genotyping-by-Sequencing Based Single Nucleotide Polymorphisms in Upland Cotton

The presence of two closely related subgenomes in the allotetraploid Upland cotton, combined with a narrow genetic base of the cultivated varieties, has hindered the identification of polymorphic genetic markers and their use in improving this important crop. Genotyping-by-sequencing (GBS) is a rapid way to identify single nucleotide polymorphism (SNP) markers; however, these SNPs may be specific to the sequenced cotton lines. Our objective was to obtain a large set of polymorphic SNPs with broad applicability to the cultivated cotton germplasm. We selected 11 diverse cultivars and their random-mated recombinant inbred progeny for SNP marker development via GBS. Two different GBS methodologies were used by Data2Bio (D2B) and the Institute for Genome Diversity (IGD) to identify 4441 and 1176 polymorphic SNPs with minor allele frequency of ≥0.1, respectively. We further filtered the SNPs and aligned their sequences to the diploid Gossypium raimondii reference genome. We were able to use homeologous SNPs to assign 1071 SNP loci to the At subgenome and 1223 to the Dt subgenome. These filtered SNPs were located in genic regions about twice as frequently as expected by chance. We tested 111 of the SNPs in 154 diverse Upland cotton lines, which confirmed the utility of the SNP markers developed in such approach. Not only were the SNPs identified in the 11 cultivars present in the 154 cotton lines, no two cultivars had identical SNP genotypes. We conclude that GBS can be easily used to discover SNPs in Upland cotton, which can be converted to functional genotypic assays for use in breeding and genetic studies.