Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

CDNA microarray expression profile during fiber elongation between G. hirsutum and G. barbadense

ABSTRACT: Sea-island cotton (Gossypium barbadense L.) has superior fiber quality properties such as length, fineness and strength, while Upland cotton (Gossypium hirsutum L.) is characterized by high yield. To reveal features of Upland cotton and Sea-island cotton fiber cells, differential genes expression profiles during fiber cell elongation and in secondary wall deposits were established using cDNA microarray technology. This research provides a valuable genomic resource to deepen our understanding of the molecular mechanisms of cotton fiber development, and may ultimately lead to improvements in cotton fiber quality and yield. 15 samples were prepared for microarray slides hybridized with three biological replicate samples including a swap-dye experiment for each growth stage. Each spot had a repeat in the microarray slideM-oM-

ORGANISM(S): Gossypium hirsutum

SUBMITTER: Tianzhen Zhang

PROVIDER: E-GEOD-18028 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Molecular mechanisms of fiber differential development between G. barbadense and G. hirsutum revealed by genetical genomics.

Chen Xiangdong X Guo Wangzhen W Liu Bingliang B Zhang Yuanming Y Song Xianliang X Cheng Yu Y Zhang Lili L Zhang Tianzhen T

PloS one 20120111 1

Cotton fiber qualities including length, strength and fineness are known to be controlled by genes affecting cell elongation and secondary cell wall (SCW) biosynthesis, but the molecular mechanisms that govern development of fiber traits are largely unknown. Here, we evaluated an interspecific backcrossed population from G. barbadense cv. Hai7124 and G. hirsutum acc. TM-1 for fiber characteristics in four-year environments under field conditions, and detected 12 quantitative trait loci (QTL) and ...[more]

PMID: 22253876

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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).

Dataset Information

CDNA microarray expression profile during fiber elongation between G. hirsutum and G. barbadense

Publications

Molecular mechanisms of fiber differential development between G. barbadense and G. hirsutum revealed by genetical genomics.

Similar Datasets

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