Evaluation of resistance to Verticillium wilt in Gossypium hirsutum-Gossypium arboreum introgression lines and identification of putative resistance genes using RNA-seq.

Verticillium wilt (VW), a fungal disease caused by Verticillium dahliae (Vd), is one of the most destructive threats to cotton production. Moreover, widely cultivated upland cotton (Gossypium hirsutum, 2n = 4x = AADD = 52) often demonstrates low resistance to Vd. In contrast, G.

SR45a plays a key role in enhancing cotton resistance to Verticillium dahliae by alternative splicing of immunity genes.

Alternative splicing (AS) of pre-mRNAs increases the diversity of transcriptome and proteome and plays fundamental roles in plant development and stress responses. However, the prevalent changes in AS events and the regulating mechanisms of plants in response to pathogens remain largely unknown. Here, we show that AS changes are an important mechanism conferring cotton immunity to Verticillium dahliae (Vd).

Long noncoding RNA TRABA suppresses β-glucosidase-encoding BGLU24 to promote salt tolerance in cotton.

Salt stress severely damages the growth and yield of crops. Recently, long noncoding RNAs (lncRNAs) were demonstrated to regulate various biological processes and responses to environmental stresses. However, the regulatory mechanisms of lncRNAs in cotton (Gossypium hirsutum) response to salt stress are still poorly understood.

General Regulatory Factor7 regulates innate immune signalling to enhance Verticillium wilt resistance in cotton.

Sessile growing plants are always vulnerable to microbial pathogen attacks throughout their lives. To fend off pathogen invasion, plants have evolved a sophisticated innate immune system that consists of cell surface receptors and intracellular receptors. Somatic embryogenesis receptor kinases (SERKs) belong to a small group of leucine-rich repeat receptor-like kinases (LRR-RLKs) that function as co-receptors regulating diverse physiological processes.

Genetic dissection of lint percentage in short-season cotton using combined QTL mapping and RNA-seq.

In total, 17 QTLs for lint percentage in short-season cotton, including three stable QTLs, were detected. Twenty-eight differentially expressed genes located within the stable QTLs were identified, and two genes were validated by qRT-PCR. The breeding and use of short-season cotton have significant values in addressing the question of occupying farmlands with either cotton or cereals.

Identification of superior parents with high fiber quality using molecular markers and phenotypes based on a core collection of upland cotton ( L.).

Unlabelled: The combination of molecular markers and phenotypes to select superior parents has become the goal of modern breeders. In this study, 491 upland cotton ( L.) accessions were genotyped using the CottonSNP80K array and then a core collection (CC) was constructed.

Improves Resistance to Verticillium Wilt via Multiple Signaling Pathways.

is a fungal pathogen that causes Verticillium wilt (VW), which seriously reduces the yield of cotton owing to biological stress. The mechanism underlying the resistance of cotton to VW is highly complex, and the resistance breeding of cotton is consequently limited by the lack of in-depth research. Using quantitative trait loci (QTL) mapping, we previously identified a novel () gene on chromosome D4 of that is associated with resistance to the nondefoliated strain of .

Membrane Localized GbTMEM214s Participate in Modulating Cotton Resistance to Verticillium Wilt.

Verticillium wilt (VW) is a soil-borne fungal disease caused by Kleb, which leads to serious damage to cotton production annually in the world. In our previous study, a () gene associated with VW resistance was map-based cloned from (). TMEM214 proteins are a kind of transmembrane protein, but their function in plants is rarely studied.

Identification of genomewide single-nucleotide polymorphisms associated with presummer, summer and autumn bolls in upland cotton.

Presummer, summer, and autumn bolls (PSB, SB and AB, respectively) in cotton are related to both maturity and yield. Therefore, studying their genetic basis is important for breeding purposes. In this study, we developed an association analysis panel consisting of 169 upland cotton accessions.

Genome-wide quantitative trait loci reveal the genetic basis of cotton fibre quality and yield-related traits in a Gossypium hirsutum recombinant inbred line population.

Cotton is widely cultivated globally because it provides natural fibre for the textile industry and human use. To identify quantitative trait loci (QTLs)/genes associated with fibre quality and yield, a recombinant inbred line (RIL) population was developed in upland cotton. A consensus map covering the whole genome was constructed with three types of markers (8295 markers, 5197.

A genome-wide association study of early-maturation traits in upland cotton based on the CottonSNP80K array.

Genome-wide association studies (GWASs) efficiently identify genetic loci controlling traits at a relatively high resolution. In this study, variations in major early-maturation traits, including seedling period (SP), bud period (BP), flower and boll period (FBP), and growth period (GP), of 169 upland cotton accessions were investigated, and a GWAS of early maturation was performed based on a CottonSNP80K array. A total of 49,650 high-quality single-nucleotide polymorphisms (SNPs) were screened, and 29 significant SNPs located on chromosomes A6, A7, A8, D1, D2, and D9, were repeatedly identified as associated with early-maturation traits, in at least two environments or two algorithms.

Molecular Mapping of Restriction-Site Associated DNA Markers In Allotetraploid Upland Cotton.

Upland cotton (Gossypium hirsutum L., 2n = 52, AADD) is an allotetraploid, therefore the discovery of single nucleotide polymorphism (SNP) markers is difficult. The recent emergence of genome complexity reduction technologies based on the next-generation sequencing (NGS) platform has greatly expedited SNP discovery in crops with highly repetitive and complex genomes.