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Global Analysis of the developmental dynamics of Gossypium hirsutum based on strand-specific transcriptome

ABSTRACT: Cotton is the most important economic crop that provides natural fibre and by-products such as oil and protein. The global gene expression could provide insight into the biological processes underlying growth and development, which involving suites of genes expressed with temporal and spatial controls by regulatory networks. Improvement of cotton fiber in yield and quality is the main goal for molecular breeding, but many previous research have been largely focused on identifying genes only in fibres, so that we ignore seed which may play an important role in the development of fibers. In this study, we constructed and systematically analyzed twenty-one strand-specific RNA-Seq libraries on Gossypium hirsutum L. covering different tissues, organs and development stages, of which approximately 970 million reads were generated. In total, 5,6754 transcripts derived from 2,9541 unigenes were obtained to provide a global view of gene expression for cotton development. Hierarchical clustering of transcriptional profiles suggests that transcriptomes among tissues or organs corresponded well to their developmental relatedness. The organ (tissue)-specific gene expressions were investigated efficiently and provided further insight into the dynamic programming of the transcriptome, in particularly for coordinating development between fiber cell and seed (ovule). We identified series of transcription factors and seed-specific genes, which as the candidate genes should help elucidate key mechanisms and regulatory networks that underlie fiber and seed development. This report identified comprehensive transcriptome changes in different stage of cotton development and will serves as a valuable genome-wide transcriptome resource for cotton breeding.

ORGANISM(S): Gossypium hirsutum

PROVIDER: GSE70369 | GEO | 2016/02/29

SECONDARY ACCESSION(S): PRJNA288462

REPOSITORIES: GEO

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Project description:Cotton is one of the most commercially important Fiber crops in the world and used as a source for natural textile Fiber and cottonseed oil. The fuzzless-lintless ovules of cotton mutants are ideal source for identifying genes involved in Fiber development by comparing with Fiber bearing ovules of wild-type. To decipher molecular mechanisms involved in Fiber cell development, transcriptome analysis has been carried out by comparing G. hirsutum cv. MCU5 (wild-type) with its fuzzless-lintless mutant (MUT). Cotton bolls were collected at Fiber initiation (0 dpa/days post anthesis), elongation (5, 10 and 15 dpa) and secondary cell wall synthesis stage (20 dpa) and gene expression profiles were analyzed in wild-type and MUT using Affymetrix cotton GeneChip Genome array. Cotton plants were grown under field condition. Flowers were tagged and cotton bolls were collected during Fiber development stages. Total RNA was isolated from Fiber bearing ovules of wild-type (WT) and fuzzless-lintless ovules of mutant (MUT) collected at various (0, 5, 10, 15 and 20 dpa) Fiber development stages using SpectrumTM Plant Total RNA kit (Sigma, USA) according to the manufacturerM-bM-^@M-^Ys protocol. Affymetrix cotton GeneChip Genome array (Affymetrix, USA) having 23,977 probe sets representing 21,854 cotton transcripts was used for transcriptome analysis. Three biological replicates were maintained to test the reproducibility and quality of the chip hybridization. cDNA labeling, array hybridization, staining and washing procedures were carried out as described in the Affymetrix protocols. CEL files having estimated probe intensity values were analyzed with GeneSpring GX-11.5 software (Agilent Technologies, USA) to get differentially expressed transcripts. The Robust Multiarray Average (RMA) algorithm was used for the back ground correction, quantile normalization and median polished probe set summarization to generate single expression value for each probe set. Normalized expression values were log2-transformed and differential expression analysis was performed using unpaired t-test. The p-values were corrected by applying the false discovery rate (FDR) correction (Benjamini and Hochberg, 2000).

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Global Analysis of the developmental dynamics of Gossypium hirsutum based on strand-specific transcriptome

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