| Literature DB >> 30958828 |
Xianhong Meng1,2, Lijun Dong2,3, Xiaoli Shi1,2, Xupeng Li1,2, Juan Sui1,2, Kun Luo1,2, Sheng Luan1,2, Baolong Chen1,2, Baoxiang Cao1,2, Jiawang Cao1,2, Jie Kong1,2.
Abstract
In order to screen the candidate genes of Fenneropenaeus chinensis related to low-temperature tolerance, this research takes juvenile prawns of F. chinensis (P40) in low temperature stress group (4°C) and normal temperature group (18°C) as experimental materials. The results showed that a total of 127,939 Unigenes with average length of 1,190 bp were obtained by assembly, of which 46% were annotated in the Nr database. A total of 1,698 differentially expressed genes were screened by differential gene expression analysis, of which 920 genes showed up-regulated expression and 778 genes showed down-regulated expression. Both GO and KEGG enrichment analysis revealed that differentially expressed genes were enriched in spliceosomes, ribosomes, bile secretion, ABC transport pathways, and cellular nitrogen compound synthesis. A further in-depth analysis obtained 8 genes that may be associated with low-temperature traits of F. chinensis. Five of them displayed up-regulated expression, including ATP-binding cassette protein C, acid ceramidase, glutathione transferase, C-type lectin and heat shock protein HSP70. The remaining three genes, γ-butyl betaine hydroxylase, β-hexosaminidase A and long chain fatty acid-CoA ligase displayed down-regulated expression. Eight differentially expressed genes were randomly selected and the real time RT-PCR verification showed that their expression levels were consistent with the sequencing results, demonstrating the accuracy of the sequencing results. The results of this study provide basic data for revealing the molecular mechanisms of F. chinensis in response to low temperature stress and the molecular assisted breeding of F. chinensis in low temperature.Entities:
Mesh:
Year: 2019 PMID: 30958828 PMCID: PMC6453463 DOI: 10.1371/journal.pone.0211182
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Genes and specific primers used for validation of RNA-seq data by real time RT-PCR.
| Gene ID | Sequence(5'-3') |
|---|---|
Assembly statistic of transcripts and unigenes.
| Min Length | Mean Length/bp | Max Length/bp | N50 | N90 | Total | |
|---|---|---|---|---|---|---|
| 201 | 759 | 15,056 | 1,404 | 275 | 247,911 | |
| 201 | 1190 | 15,056 | 1,826 | 532 | 127,939 |
N50/N90 was sorted by the length of the spliced transcripts from long to short, and the length of the transcripts was accumulated to a length of no less than 50%/90% of the total spliced transcripts.
Transcriptome data in seven databases in the annotate success rate statistics.
| Number of Genes | Percentage (%) | |
|---|---|---|
| 58,938 | 46.06 | |
| 32,904 | 25.71 | |
| 32,108 | 25.09 | |
| 50,232 | 39.26 | |
| 62,335 | 48.72 | |
| 63,360 | 49.52 | |
| 28,091 | 21.95 | |
| 10,129 | 7.91 | |
| 83,086 | 64.94 | |
| 127,939 | 100 |
Fig 1The ‘volcano plot’ of differentially expressed genes.
The red dots represent genes with up-regulated expression. The green dots represent genes with down-regulated expression. The blue dots represent non differentially expressed genes.
Fig 2GO enrichment results of differentially expressed genes under cold challenge.
Fig 3KEGG enrichment results of differentially expressed genes under cold challenge.
The vertical axis indicates the name of pathway, and the horizontal axis indicates the corresponding Rich factor of the pathway. The size of q-value is represented by the color of dots. The smaller the q-value, the closer the color is to red. The number of differentially expressed genes contained in each pathway is represented by the size of dots.
Candidate genes in low temperature.
| Gene ID | Gene Name | log2FoldChange | Regulation |
|---|---|---|---|
| 10.76253558 | up | ||
| 10.59060336 | up | ||
| 10.05836163 | up | ||
| 11.85426777 | up | ||
| 6.384243125 | up | ||
| hypothetical protein: | -11.03745747 | down | |
| -6.023347561 | down | ||
| -11.55664899 | down |
Fig 4Verification of differentially expressed genes using real time RT-PCR.