Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Next Generation Sequencing Facilitates Quantitative Analysis of Differentially Expressed Genes and Transcriptional Regulation Induced by High Temprature Stress in Upland Cotton


ABSTRACT: Purpose: Identification and characterization of thermotolerance candidate genes during early seedling stage by comparative transcriptome analysis. We performed transcriptome sequencing (mRNA-seq) of cotton leaves under high temprature stress using Illumina sequencing technology. And quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods: A comparative transcriptomics approach was used to monitor gene differential expression at two time points (4 and 8 h) in leaves of the two cotton genotypes under high temprature conditions. Results: During a 8-h salt exposure,among 9,777 differentially expressed unigenes (DEUs) were identified during at least one time point, 7,296 DEUs representing different classes of protein kinases, transcription factors, and heat shock proteins as well as downstream thermotolerance-related genes are reported. Gene ontology enrichment and biochemical pathway analyses showed these DEUs were mainly related to carbohydrate metabolism, secondary metabolites, and plant hormone signalling. Conclusions: Our findings offer high efficiency technique for early charactering thermotolerance in cotton and provide the information for the candidate genes to improve thermotolerance of cotton cultivars. Leaf mRNA profiles of 20-day-old seedlings of two cotton genotypes, one heat tolerant and the other heat sensitive during a 8-h high-temperature exposure were generated by deep sequencing, using Illumina HiSeq 2000 system.

ORGANISM(S): Gossypium hirsutum

SUBMITTER: Du Xiongming 

PROVIDER: E-GEOD-70205 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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