The narrow genetic base of cultivated cotton germplasm is hindering the cotton productivity worldwide. Although potential genetic diversity exists in Gossypium genus, it is largely 'underutilized' due to photoperiodism and the lack of innovative tools to overcome such challenges. The application of linkage disequilibrium (LD)-based association mapping is an alternative powerful molecular tool to dissect and exploit the natural genetic diversity conserved within cotton germplasm collections, greatly accelerating still 'lagging' cotton marker-assisted selection (MAS) programs. However, the extent of genome-wide linkage disequilibrium (LD) has not been determined in cotton. We report the extent of genome-wide LD and association mapping of fiber quality traits by using a 95 core set of microsatellite markers in a total of 285 exotic Gossypium hirsutum accessions, comprising of 208 landrace stocks and 77 photoperiodic variety accessions. We demonstrated the existence of useful genetic diversity within exotic cotton germplasm. In this germplasm set, 11-12% of SSR loci pairs revealed a significant LD. At the significance threshold (r(2)>/=0.1), a genome-wide average of LD declines within the genetic distance at <10 cM in the landrace stocks germplasm and >30 cM in variety germplasm. Genome wide LD at r(2)>/=0.2 was reduced on average to approximately 1-2 cM in the landrace stock germplasm and 6-8 cM in variety germplasm, providing evidence of the potential for association mapping of agronomically important traits in cotton. We observed significant population structure and relatedness in assayed germplasm. Consequently, the application of the mixed liner model (MLM), considering both kinship (K) and population structure (Q) detected between 6% and 13% of SSR markers associated with the main fiber quality traits in cotton. Our results highlight for the first time the feasibility and potential of association mapping, with consideration of the population structure and stratification existing in cotton germplasm resources. The number of SSR markers associated with fiber quality traits in diverse cotton germplasm, which broadly covered many historical meiotic events, should be useful to effectively exploit potentially new genetic variation by using MAS programs.

Background: The involvement of small RNAs in cotton fiber development is under explored. The objective of this work was to directly clone, annotate, and analyze small RNAs of developing ovules to reveal the candidate small interfering RNA/microRNAs involved in cotton ovule and fiber development.

Molecular markers associated withWber development traits have the potential to play a key role in understanding of cotton Wber development. Seventeen SSRs out of 304 markers tested from MGHES (EST-SSR), JESPR (genomic SSR), and TMB (BAC-derived SSR) collections showed signiWcant linkage associations (using a Kurskal-Wallis non-parametric test) with lint percentage QTL in a set of recombinant inbred cotton lines (RILs) segregating for lint percentage. The permutation test of these potential markers associated with lint percentage QTL(s) determined that 12 SSR markers have stable estimates, exceeding empirically chosen threshold signiWcance values at or above = 0.01. Interval mapping demonstrated that 9 SSRs with stable critical LOD threshold values at = 0.01 have signiWcant QTL eVect. Multiple QTL-mapping (MQM) revealed that at least, two highly signiWcant Wber development QTLs exist around regions TMB0471 and MGHES-31 (explained about 23-59% of the phenotypic variation of lint percentage) and around markers MGHES-31 and TMB0366 (accounted for 5.4-12.5% phenotypic variation of lint percentage). These markers, in particular Wber-speciWc EST-SSRs, might be the possible 'candidate' loci contributing for Wber development in cotton. BAC-derived SSRs associated with Wber trait are the possible markers that are useful for the identiWcation of physical genomic contigs that contain Wber development genes. Several lint percentage trait associated SSR markers have been located to chromosomes 12, 18, 23, and 26 using deletion analysis in aneuploid chromosome substitution lines. Outcomes of the work may prove useful in understanding I. Y. Abdurakhmonov and S. Saha contributed equally to the work

Wild cotton germplasm resources are largely underutilized because of photoperiod-dependent flowering of "exotic" cottons. The objectives of this work were to explore the genome-wide effect of induced mutation in photoperiod-converted induced cotton mutants, estimating the genetic change between mutant and wild-type cottons using simple sequence repeats (SSRs) as well as understand the pattern of SSR mutation in induced mutagenesis. Three groups of photoperiod-converted radiomutants ((32)P) including their wild-type parental lines, A- and D-genome diploids, and typically grown cotton cultivars were screened with 250 cotton SSR primer pairs. Forty SSRs revealed the same SSR mutation profile in, at least, 2 independent mutant lines that were different from the original wild types. Induced mutagenesis both increased and decreased the allele sizes of SSRs in mutants with the higher mutation rate in SSRs containing dinucleotide motifs. Genetic distance obtained based on 141 informative SSR alleles ranged from 0.09 to 0.60 in all studied cotton genotypes. Genetic distance within all photoperiod-converted induced mutants was in a 0.09-0.25 range. The genetic distance among photoperiod-converted mutants and their originals ranged from 0.28 to 0.50, revealing significant modification of mutants from their original wild types. Typical Gossypium hirsutum cultivar, Namangan-77, revealed mutational pattern similar to induced radiomutants in 40 mutated SSR loci, implying possible pressure to these SSR loci not only in radiomutagenesis but also during common breeding process. Outcomes of the research should be useful in understanding the photoperiod-related mutations, and markers might help in mapping photoperiodic flowering genes in cotton.

Cotton genetic resources contain diverse economically important traits that can be used widely in breeding approaches to create of high-yielding elite cultivars with superior fiber quality and adapted to biotic and abiotic stresses. Nevertheless, the creation of new cultivars using conventional breeding methods is limited by the cost and proved to be time consuming process, also requires a space to make field observations and measurements. Decoding genomes of cotton species greatly facilitated generating large-scale high-throughput DNA markers and identification of QTLs that allows confirmation of candidate genes, and use them in marker-assisted selection (MAS)-based breeding programs. With the advances of quantitative trait loci (QTL) mapping and genome-wide-association study approaches, DNA markers associated with valuable traits significantly accelerate breeding processes by replacing the selection with a phenotype to the selection at the DNA or gene level. In this review, we discuss the evolution and genetic diversity of cotton Gossypium genus, molecular markers and their types, genetic mapping and QTL analysis, application, and perspectives of MAS-based approaches in cotton breeding.