Unknown

Dataset Information

0

Transcriptome profiling of abiotic responses to heat, cold, salt, and osmotic stress of Capsicum annuum L.


ABSTRACT: Peppers (Capsicum annuum L.), belonging to the Solanaceae family, are one of the most economically important crops globally. Like other crops, peppers are threatened by diverse environmental conditions due to different pathogens and abiotic stresses. High-quality reference genomes with massive datasets of transcriptomes from various conditions can provide clues to preferred agronomic traits for breeding. However, few global gene expression profiling datasets have been published to examine the environmental stress-resistant mechanisms in peppers. In this study, we report the RNA-seq analyses of peppers treated with heat, cold, salinity, and osmotic stress at six different time points. RNA-seq libraries from 78 RNA samples containing three biological replicates per time point for each of the abiotic stresses and a mock control were constructed. A total of 204.68?Gb of transcriptome data were verified by differentially expressed genes and gene ontology enrichment analysis. Analyses of the transcriptome data in this study will provide useful information for basic studies of various stimuli to facilitate the development of stress-resistant pepper cultivars.

SUBMITTER: Kang WH 

PROVIDER: S-EPMC6957515 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Transcriptome profiling of abiotic responses to heat, cold, salt, and osmotic stress of Capsicum annuum L.

Kang Won-Hee WH   Sim Young Mi YM   Koo Namjin N   Nam Jae-Young JY   Lee Junesung J   Kim Nayoung N   Jang Hakgi H   Kim Yong-Min YM   Yeom Seon-In SI  

Scientific data 20200113 1


Peppers (Capsicum annuum L.), belonging to the Solanaceae family, are one of the most economically important crops globally. Like other crops, peppers are threatened by diverse environmental conditions due to different pathogens and abiotic stresses. High-quality reference genomes with massive datasets of transcriptomes from various conditions can provide clues to preferred agronomic traits for breeding. However, few global gene expression profiling datasets have been published to examine the en  ...[more]

Similar Datasets

2019-06-18 | GSE132824 | GEO
| S-EPMC10379065 | biostudies-literature
| S-EPMC4057733 | biostudies-literature
| S-EPMC8981722 | biostudies-literature
| S-EPMC4746239 | biostudies-literature
| S-EPMC10468523 | biostudies-literature
| S-EPMC6913709 | biostudies-literature
| S-EPMC5751320 | biostudies-literature
2006-03-21 | E-TIGR-2 | biostudies-arrayexpress
2007-09-01 | GSE8205 | GEO