Whole transcriptome analysis of Penicillium digitatum strains treatmented with prochloraz reveals their drug-resistant mechanisms. (December 2015)
- Record Type:
- Journal Article
- Title:
- Whole transcriptome analysis of Penicillium digitatum strains treatmented with prochloraz reveals their drug-resistant mechanisms. (December 2015)
- Main Title:
- Whole transcriptome analysis of Penicillium digitatum strains treatmented with prochloraz reveals their drug-resistant mechanisms
- Authors:
- Liu, Jing
Wang, Shengqiang
Qin, Tingting
Li, Na
Niu, Yuhui
Li, Dandan
Yuan, Yongze
Geng, Hui
Xiong, Li
Liu, Deli - Abstract:
- Abstract Background Penicillium digitatum is one of the most destructive postharvest pathogen of citrus fruits, causing fruit decay and economic loss. The emergence of fungicide-resistant strains made the control ofP. digitatum more difficult. While the genome ofP. digitatum is available, there has been few reports about its resistant mechanism from the transcriptome perspective and there has been no large-scale functional annotation of the genome using expressed genes derived from transcriptomes. Methods Total RNA of P. digitatum strain HS-F6 (prochloraz-resistant strain) and HS-E3 (prochloraz-susceptible strain) before and after prochloraz-treatment were extracted and sequenced on an Illumina Hiseq 2000 platform. The transcriptome data of four samples were compared and analyzed using differential expression analysis, novel transcripts prediction and alternative splicing analysis, SNP analysis and quantitative real-time PCR. Results We present a large scale analysis about the transcriptome data ofP. digitatum . The whole RNA was extracted from a prochloraz-resistant strain (HS-F6) and a prochloraz-susceptible strain (HS-E3) before and after prochloraz-treatment and sequenced by Illumina technology. A total of more than 100 million reads were generated and de novo assembled into 9760 transcripts that contained annotated genes after quality control and sequence assembling. 6625 single nucleotide variations (SNVs) were identified from the sequences aligned against theAbstract Background Penicillium digitatum is one of the most destructive postharvest pathogen of citrus fruits, causing fruit decay and economic loss. The emergence of fungicide-resistant strains made the control ofP. digitatum more difficult. While the genome ofP. digitatum is available, there has been few reports about its resistant mechanism from the transcriptome perspective and there has been no large-scale functional annotation of the genome using expressed genes derived from transcriptomes. Methods Total RNA of P. digitatum strain HS-F6 (prochloraz-resistant strain) and HS-E3 (prochloraz-susceptible strain) before and after prochloraz-treatment were extracted and sequenced on an Illumina Hiseq 2000 platform. The transcriptome data of four samples were compared and analyzed using differential expression analysis, novel transcripts prediction and alternative splicing analysis, SNP analysis and quantitative real-time PCR. Results We present a large scale analysis about the transcriptome data ofP. digitatum . The whole RNA was extracted from a prochloraz-resistant strain (HS-F6) and a prochloraz-susceptible strain (HS-E3) before and after prochloraz-treatment and sequenced by Illumina technology. A total of more than 100 million reads were generated and de novo assembled into 9760 transcripts that contained annotated genes after quality control and sequence assembling. 6625 single nucleotide variations (SNVs) were identified from the sequences aligned against the reference genome. Gene expression profiling analysis was performed upon prochloraz treatment in HS-F6 and HS-E3, and differential expression analysis was used to identify genes related to prochloraz-response and drug-resistance: there are 224 differentially expressed genes in HS-E3 and 1100 differentially expressed genes in HS-F6 after prochloraz-treatment. Moreover, gene expression profile in prochloraz-resistant strain HS-F6 is quite different from that in HS-E3 before prochloraz-treatment, 1520 differential expression genes were identified between the two strains. Gene ontology (GO) term enrichment and KEGG enrichment were then performed to classify the differential expression genes. Among these genes, there are a lot of transporter encoding genes including 14 MFS (Major Facilitator Superfamily) transporters, 8 ABC (ATP-binding cassette transporter) and 3 MATE (multidrug and toxic compound extrusion family) transporters. Meanwhile, the roles of typical MFS, ABC and MATE proteins in prochloraz resistance were investigated using real-time quantitative PCR. Conclusions The sequencing-based transcriptome data ofP. digitatum demonstrate differences between prochloraz-resistant and prochloraz-susceptible strains with prochloraz-treatment. The differences existed in expressed transcripts, splice isoforms and GO categories, which would contribute to our knowledge on the molecular mechanisms involved in drug resistance ofP. digitatum . … (more)
- Is Part Of:
- BMC genomics. Volume 16:Number 1(2015)
- Journal:
- BMC genomics
- Issue:
- Volume 16:Number 1(2015)
- Issue Display:
- Volume 16, Issue 1 (2015)
- Year:
- 2015
- Volume:
- 16
- Issue:
- 1
- Issue Sort Value:
- 2015-0016-0001-0000
- Page Start:
- 1
- Page End:
- 13
- Publication Date:
- 2015-12
- Subjects:
- Transcriptome -- Penicillium digitatum -- Gene expression -- Prochloraz response -- Prochloraz resistance
Genomes -- Periodicals
Gene mapping -- Periodicals
Genomics -- Periodicals
Base Sequence -- Periodicals
Chromosome Mapping -- Periodicals
Genetic Techniques -- Periodicals
Sequence Analysis, DNA -- Periodicals
572.8605 - Journal URLs:
- http://www.biomedcentral.com/bmcgenomics/ ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=32 ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s12864-015-2043-x ↗
- Languages:
- English
- ISSNs:
- 1471-2164
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9848.xml