Identification of stable quantitative trait loci (QTLs) across different environments and mapping populations is a prerequisite for marker-assisted selection (MAS) for cotton yield and fiber quality. To construct a genetic linkage map and to identify QTLs for fiber quality and yield traits, a backcross inbred line (BIL) population of 146 lines was developed from a cross between Upland cotton (Gossypium hirsutum) and Egyptian cotton (Gossypium barbadense) through two generations of backcrossing using Upland cotton as the recurrent parent followed by four generations of self pollination. The BIL population together with its two parents was tested in five environments representing three major cotton production regions in China. The genetic map spanned a total genetic distance of 2,895 cM and contained 392 polymorphic SSR loci with an average genetic distance of 7.4 cM per marker. A total of 67 QTLs including 28 for fiber quality and 39 for yield and its components were detected on 23 chromosomes, each of which explained 6.65-25.27% of the phenotypic variation. Twenty-nine QTLs were located on the At subgenome originated from a cultivated diploid cotton, while 38 were on the Dt subgenome from an ancestor that does not produce spinnable fibers. Of the eight common QTLs (12%) detected in more than two environments, two were for fiber quality traits including one for fiber strength and one for uniformity, and six for yield and its components including three for lint yield, one for seedcotton yield, one for lint percentage and one for boll weight. QTL clusters for the same traits or different traits were also identified. This research represents one of the first reports using a permanent advanced backcross inbred population of an interspecific hybrid population to identify QTLs for fiber quality and yield traits in cotton across diverse environments. It provides useful information for transferring desirable genes from G. barbadense to G. hirsutum using MAS.

BackgroundVerticillium wilt (VW) and Fusarium wilt (FW), caused by the soil-borne fungi Verticillium dahliae and Fusarium oxysporum f. sp. vasinfectum, respectively, are two most destructive diseases in cotton production worldwide. Root-knot nematodes (Meloidogyne incognita, RKN) and reniform nematodes (Rotylenchulus reniformis, RN) cause the highest yield loss in the U.S. Planting disease resistant cultivars is the most cost effective control method. Numerous studies have reported mapping of quantitative trait loci (QTLs) for disease resistance in cotton; however, very few reliable QTLs were identified for use in genomic research and breeding.ResultsThis study first performed a 4-year replicated test of a backcross inbred line (BIL) population for VW resistance, and 10 resistance QTLs were mapped based on a 2895 cM linkage map with 392 SSR markers. The 10 VW QTLs were then placed to a consensus linkage map with other 182 VW QTLs, 75 RKN QTLs, 27 FW QTLs, and 7 RN QTLs reported from 32 publications. A meta-analysis of QTLs identified 28 QTL clusters including 13, 8 and 3 QTL hotspots for resistance to VW, RKN and FW, respectively. The number of QTLs and QTL clusters on chromosomes especially in the A-subgenome was significantly correlated with the number of nucleotide-binding site (NBS) genes, and the distribution of QTLs between homeologous A- and D- subgenome chromosomes was also significantly correlated.ConclusionsTen VW resistance QTL identified in a 4-year replicated study have added useful information to the understanding of the genetic basis of VW resistance in cotton. Twenty-eight disease resistance QTL clusters and 24 hotspots identified from a total of 306 QTLs and linked SSR markers provide important information for marker-assisted selection and high resolution mapping of resistance QTLs and genes. The non-overlapping of most resistance QTL hotspots for different diseases indicates that their resistances are controlled by different genes.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-015-1682-2) contains supplementary material, which is available to authorized users.

Summary The cotton fibre serves as a valuable experimental system to study cell wall synthesis in plants, but our understanding of the genetic regulation of this process during fibre development remains limited. We performed a genome‐wide association study (GWAS) and identified 28 genetic loci associated with fibre quality in allotetraploid cotton. To investigate the regulatory roles of these loci, we sequenced fibre transcriptomes of 251 cotton accessions and identified 15 330 expression quantitative trait loci (eQTL). Analysis of local eQTL and GWAS data prioritised 13 likely causal genes for differential fibre quality in a transcriptome‐wide association study (TWAS). Characterisation of distal eQTL revealed unequal genetic regulation patterns between two subgenomes, highlighted by an eQTL hotspot (Hot216) that established a genome‐wide genetic network regulating the expression of 962 genes. The primary regulatory role of Hot216, and specifically the gene encoding a KIP‐related protein, was found to be the transcriptional regulation of genes responsible for cell wall synthesis, which contributes to fibre length by modulating the developmental transition from rapid cell elongation to secondary cell wall synthesis. This study uncovered the genetic regulation of fibre‐cell development and revealed the molecular basis of the temporal modulation of secondary cell wall synthesis during plant cell elongation.

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BackgroundGenetic male sterility (GMS) in cotton (Gossypium hirsutum) plays an important role in the utilization of hybrid vigor. However, the molecular mechanism of the GMS is still unclear. While numerous studies have demonstrated that microRNAs (miRNA) regulate flower and anther development, whether different small RNA regulations exist in GMS and its wild type is unclear. A deep sequencing approach was used to investigate the global expression and complexity of small RNAs during cotton anther development in this study.ResultsThree small RNA libraries were constructed from the anthers of three development stages each from fertile wild type (WT) and its GMS mutant cotton, resulting in nearly 80 million sequence reads. The total number of miRNAs and short interfering RNAs in the three WT libraries was significantly greater than that in the corresponding three mutant libraries. Sixteen conserved miRNA families were identified, four of which comprised the vast majority of the expressed miRNAs during anther development. In addition, six conserved miRNA families were significantly differentially expressed during anther development between the GMS mutant and its WT.ConclusionsThe present study is the first to deep sequence the small RNA population in G. hirsutum GMS mutant and its WT anthers. Our results reveal that the small RNA regulations in cotton GMS mutant anther development are distinct from those of the WT. Further results indicated that the differently expressed miRNAs regulated transcripts that were distinctly involved in anther development. Identification of a different set of miRNAs between the cotton GMS mutant and its WT will facilitate our understanding of the molecular mechanisms for male sterility.

Family 1 GT, designated as UGT, is the largest and most functionally important multigene family in the plant kingdom. In this study, we carried out a genome-wide identification, analysis, and comparison of 142, 146, and 196 putative UGTs from Gossypium raimondii, Gossypium arboreum, and Gossypium hirsutum, respectively. All members present the 44 amino-acid conserved consensus sequence termed the plant secondary product glycosyltransferase motif. According to the phylogenetic relationship among the cotton UGT proteins and those from other species, GrUGTs and GaUGTs could be classified into 16 major phylogenetic groups (A-P), whereas GhUGTs are classified into 15 major phylogenetic groups with a lack of group C. All cotton UGTs are dispersed throughout the chromosomes and are displayed in clusters with the same open reading frame orientation. The expansion of them appears to result from genome duplication and rearrangement. Two conserved introns, A and B, are detected in most of the intron-containing-UGTs in G. raimondii and G. arboreum, whereas only intron A is detected in the intron-containing-UGTs in G. hirsutum. Furthermore, expression patterns of the UGT genes in G. hirsutum wild type and its near isogenic fuzzless-lintless mutant at the stage of fiber initiation were analyzed using the RNA-seq data. Overall, this study not only deepens our understanding of the structure, phylogeny, evolution, and expression of cotton UGT genes, but also provides a solid foundation for further cloning and functional studies of the UGT family genes.

A high-density linkage map was constructed for an F 2 population derived from an interspecific cross of cultivated allotetraploid species between Gossypium hirsutum L. and G. barbadense L. A total of 186 F 2 individuals from the interspecific cross of "CRI 36 × Hai 7124" were genotyped at 1 252 polymorphic loci including a novel marker system, target region amplification polymorphism (TRAP). The map consists of 1 097 markers, including 697 simple sequence repeats (SSRs), 171 TRAPs, 129 sequence-related amplified polymorphisms, 98 amplified fragment length polymorphisms, and two morphological markers, and spanned 4 536.7 cM with an average genetic distance of 4.1 cM per marker. Using 45 duplicated SSR loci among chromosomes, 11 of the 13 pairs of homologous chromosomes were identified in tetraploid cotton. This map will provide an essential resource for high resolution mapping of quantitative trait loci and molecular breeding in cotton.Key words: cotton; linkage map; target region amplification polymorphism. Available online at www.blackwell-synergy.com/links/toc/jipb, www.jipb.net Genetic linkage maps based on molecular markers have become an important tool for genome analysis, detection of quantitative trait loci (QTL) underlying important traits, physical mapping, map-based cloning and marker-assisted selection. After the first molecular linkage map based on restricted fragment length polymorphism (RFLP) was reported by Reinisch et al. (1994), many maps based on RFLP, RPAD (random amplified polymorphic DNA), SSR (simple sequence repeats) and AFLP (amplified fragment length polymorphism) markers, among others, have been published for segregating populations derived mainly from interspecific (Gossypium hirsutum × Gossypium barbadense) crosses (Shappley et al. 1998; Brubaker et al. 1999; Lacape et al. 2003;Nguyen et al. 2004;Rong et al. 2004;Song et al. 2005;Guo et al. 2006).However, for comprehensive analysis of cotton genome and QTL mapping, it is essential to develop more markers and explore novel molecular marker systems. Expressed sequence tags (EST) have provided an ample source for the development of SSR markers that have been added to the existing cotton linkage maps (Park et al. 2005; Han et al. 2006;Wang et al. 2006). Sequence-related amplified polymorphism (SRAP) marker system, developed by Li and Quiros (2001), has been successfully used to construct cotton linkage maps (Lin et al. 2005;Zhang et al. 2005). Another new marker system, target region amplification polymorphism (TRAP) is also polymerase chain reaction (PCR)-based (Hu and Vick 2003) to detect EST-linked polymorphic markers, in which a fixed primer designed based High-density Linkage Map of Cotton 717 on expressed sequence tags or any cDNAs sequences is used in a PCR reaction in combination with a random primer containing either an AT-or GC-rich core sequence targeting an intron or exon. By using the TRAP technique, Alwala et al. (2006) and Hu et al. (2005) have assessed genetic diversities of sugarcane and lettuce, respectively. L...

MicroRNAs (miRNAs) are a class of endogenous, non-coding small RNAs that play important roles in many developmental processes and stress responses in plants and animals. Cotton (Gossypium hirsutum L.) is considered a relatively salt-tolerant non-halophytic plant species. To study the role of miRNAs in salt adaptation, a salt-tolerant cotton cultivar SN-011 and a salt-sensitive cultivar LM-6 were used to detect differentially expressed miRNAs. Using miRNA microarray analysis and a computational approach, 17 cotton miRNAs belonging to eight families were identified. Although they are conserved, 12 of them showed a genotype-specific expression model in both the cultivars. Under salt stress treatment, miR156a/d/e, miR169, miR535a/b and miR827b were dramatically down-regulated in SN-011, while miR167a, miR397a/b and miR399a were up-regulated. Only miR159 was found to be down-regulated in LM-6 under salt stress. To gain insight into their functional significance, 26 target genes were predicted and their functional similarity was further analyzed. Quantitative real-time PCR showed that the expression of seven target genes showed a significant inverse correlation with corresponding miRNAs. These differentially expressed miRNAs can help in further study into the role of transcriptome homeostasis in the adaptation responses of cotton to salt.