Dataset Information

Cotton fiber LC-MS/MS - Proteomic Analysis of Differences in Fiber Development between Wild and Cultivated Gossypium hirsutum L

ABSTRACT: Upland cotton (Gossypium hirsutum L.) is one of the world’s most important fiber crops, accounting for more than 90% of all cotton production. While their wild progenitors have relatively short and coarse, often tan-colored fibers, modern cotton cultivars possess longer, finer, stronger, and whiter fiber. In this study, the wild and cultivated cottons (YU-3 and TM-1) selected show significant differences on fibers at 10 day post-anthesis (DPA), 20 DPA and mature stages at the physiological level. In order to explore the effects of domestication, reveal molecular mechanisms underlying these phenotypic differences and better inform our efforts to further enhance cotton fiber quality, an iTRAQ-facilitated proteomic methods were performed on developing fibers. There were 6990 proteins identified, among them 336 were defined as differentially expressed proteins (DEPs) between fibers of wild versus domesticated cotton. The down- or up-regulated proteins in wild cotton were involved in Phenylpropanoid biosynthesis, Zeatin biosynthesis, Fatty acid elongation and other processes. Association analysis between transcroptome and proteome showed positive correlations between transcripts and proteins at both 10 DPA and 20 DPA. The difference of proteomics had been verified at the mRNA level by qPCR, also at physiological and biochemical level by POD activity determination and ZA content estimation. This work corroborate the major pathways involved in cotton fiber development and demonstrate that POD activity and zeatin content have a great potential related to fiber elongation and thickening.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Gossypium Hirsutum

TISSUE(S): Fiber

SUBMITTER: Yuan Qin

LAB HEAD: Shuxun Yu

PROVIDER: PXD006604 | Pride | 2017-08-28

REPOSITORIES: Pride

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Publications

Proteomic Analysis of Differences in Fiber Development between Wild and Cultivated Gossypium hirsutum L.

Qin Yuan Y Wei Hengling H Sun Huiru H Hao Pengbo P Wang Hantao H Su Junji J Yu Shuxun S

Journal of proteome research 20170724 8

Upland cotton (Gossypium hirsutum L.) is one of the world's most important fiber crops, accounting for more than 90% of all cotton production. While their wild progenitors have relatively short and coarse, often tan-colored fibers, modern cotton cultivars possess longer, finer, stronger, and whiter fiber. In this study, the wild and cultivated cottons (YU-3 and TM-1) selected show significant differences on fibers at 10 days postanthesis (DPA), 20 DPA, and mature stages at the morphological leve ...[more]

PMID: 28683551

Similar Datasets

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).

			Action	DRS
	I-pySms001_rep1.dat	Other
	P140116_1.mgf	Mgf
	P140116_1.wiff	Wiff
	P140116_1.wiff.scan	Wiff
	P140116_10.mgf	Mgf