Refining the transcriptome of the human malaria parasite Plasmodium falciparum using amplification-free RNA-seq.


Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
08 Jun 2020
Historique:
received: 09 12 2019
accepted: 19 05 2020
entrez: 10 6 2020
pubmed: 10 6 2020
medline: 3 2 2021
Statut: epublish

Résumé

Plasmodium parasites undergo several major developmental transitions during their complex lifecycle, which are enabled by precisely ordered gene expression programs. Transcriptomes from the 48-h blood stages of the major human malaria parasite Plasmodium falciparum have been described using cDNA microarrays and RNA-seq, but these assays have not always performed well within non-coding regions, where the AT-content is often 90-95%. We developed a directional, amplification-free RNA-seq protocol (DAFT-seq) to reduce bias against AT-rich cDNA, which we have applied to three strains of P. falciparum (3D7, HB3 and IT). While strain-specific differences were detected, overall there is strong conservation between the transcriptional profiles. For the 3D7 reference strain, transcription was detected from 89% of the genome, with over 78% of the genome transcribed into mRNAs. We also find that transcription from bidirectional promoters frequently results in non-coding, antisense transcripts. These datasets allowed us to refine the 5' and 3' untranslated regions (UTRs), which can be variable, long (> 1000 nt), and often overlap those of adjacent transcripts. The approaches applied in this study allow a refined description of the transcriptional landscape of P. falciparum and demonstrate that very little of the densely packed P. falciparum genome is inactive or redundant. By capturing the 5' and 3' ends of mRNAs, we reveal both constant and dynamic use of transcriptional start sites across the intraerythrocytic developmental cycle that will be useful in guiding the definition of regulatory regions for use in future experimental gene expression studies.

Sections du résumé

BACKGROUND BACKGROUND
Plasmodium parasites undergo several major developmental transitions during their complex lifecycle, which are enabled by precisely ordered gene expression programs. Transcriptomes from the 48-h blood stages of the major human malaria parasite Plasmodium falciparum have been described using cDNA microarrays and RNA-seq, but these assays have not always performed well within non-coding regions, where the AT-content is often 90-95%.
RESULTS RESULTS
We developed a directional, amplification-free RNA-seq protocol (DAFT-seq) to reduce bias against AT-rich cDNA, which we have applied to three strains of P. falciparum (3D7, HB3 and IT). While strain-specific differences were detected, overall there is strong conservation between the transcriptional profiles. For the 3D7 reference strain, transcription was detected from 89% of the genome, with over 78% of the genome transcribed into mRNAs. We also find that transcription from bidirectional promoters frequently results in non-coding, antisense transcripts. These datasets allowed us to refine the 5' and 3' untranslated regions (UTRs), which can be variable, long (> 1000 nt), and often overlap those of adjacent transcripts.
CONCLUSIONS CONCLUSIONS
The approaches applied in this study allow a refined description of the transcriptional landscape of P. falciparum and demonstrate that very little of the densely packed P. falciparum genome is inactive or redundant. By capturing the 5' and 3' ends of mRNAs, we reveal both constant and dynamic use of transcriptional start sites across the intraerythrocytic developmental cycle that will be useful in guiding the definition of regulatory regions for use in future experimental gene expression studies.

Identifiants

pubmed: 32513207
doi: 10.1186/s12864-020-06787-5
pii: 10.1186/s12864-020-06787-5
pmc: PMC7278070
doi:

Substances chimiques

3' Untranslated Regions 0
5' Untranslated Regions 0
Protozoan Proteins 0
RNA, Messenger 0

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

395

Subventions

Organisme : Burroughs Wellcome Fund
ID : 1007041.02
Organisme : NIGMS NIH HHS
ID : P50 GM071508
Pays : United States
Organisme : NIH HHS
ID : 1DP2OD001315
Pays : United States
Organisme : NIGMS NIH HHS
ID : T32 GM125592
Pays : United States
Organisme : Wellcome Trust
ID : 206194
Pays : United Kingdom

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Auteurs

Lia Chappell (L)

Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.

Philipp Ross (P)

Department of Biochemistry & Molecular Biology and Huck Center for Malaria Research, Pennsylvania State University, University Park, PA, 16802, USA.
Present Address: Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, 60637, USA.

Lindsey Orchard (L)

Department of Biochemistry & Molecular Biology and Huck Center for Malaria Research, Pennsylvania State University, University Park, PA, 16802, USA.

Timothy J Russell (TJ)

Department of Biochemistry & Molecular Biology and Huck Center for Malaria Research, Pennsylvania State University, University Park, PA, 16802, USA.

Thomas D Otto (TD)

Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.
Present Address: Institute of Infection, Immunity and Inflammation, MVLS, University of Glasgow, Glasgow, G12 8TA, UK.

Matthew Berriman (M)

Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.

Julian C Rayner (JC)

Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.
Present Address: Cambridge Institute for Medical Research, University of Cambridge, Cambridge, CB2 0XY, UK.

Manuel Llinás (M)

Department of Biochemistry & Molecular Biology and Huck Center for Malaria Research, Pennsylvania State University, University Park, PA, 16802, USA. manuel@psu.edu.
Department of Chemistry, Pennsylvania State University, University Park, PA, 16802, USA. manuel@psu.edu.

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Classifications MeSH