Organelle_PBA, a pipeline for assembling chloroplast and mitochondrial genomes from PacBio DNA sequencing data. (December 2017)
- Record Type:
- Journal Article
- Title:
- Organelle_PBA, a pipeline for assembling chloroplast and mitochondrial genomes from PacBio DNA sequencing data. (December 2017)
- Main Title:
- Organelle_PBA, a pipeline for assembling chloroplast and mitochondrial genomes from PacBio DNA sequencing data
- Authors:
- Soorni, Aboozar
Haak, David
Zaitlin, David
Bombarely, Aureliano - Abstract:
- Abstract Background The development of long-read sequencing technologies, such as single-molecule real-time (SMRT) sequencing by PacBio, has produced a revolution in the sequencing of small genomes. Sequencing organelle genomes using PacBio long-read data is a cost effective, straightforward approach. Nevertheless, the availability of simple-to-use software to perform the assembly from raw reads is limited at present. Results We present Organelle-PBA, a Perl program designed specifically for the assembly of chloroplast and mitochondrial genomes. For chloroplast genomes, the program selects the chloroplast reads from a whole genome sequencing pool, maps the reads to a reference sequence from a closely related species, and then performs read correction andde novo assembly using Sprai. Organelle-PBA completes the assembly process with the additional step of scaffolding by SSPACE-LongRead. The program then detects the chloroplast inverted repeats and reassembles and re-orients the assembly based on the organelle origin of the reference. We have evaluated the performance of the software using PacBio reads from different species, read coverage, and reference genomes. Finally, we present the assembly of two novel chloroplast genomes from the speciesPicea glauca (Pinaceae) andSinningia speciosa (Gesneriaceae). Conclusion Organelle-PBA is an easy-to-use Perl-based software pipeline that was written specifically to assemble mitochondrial and chloroplast genomes from whole genomeAbstract Background The development of long-read sequencing technologies, such as single-molecule real-time (SMRT) sequencing by PacBio, has produced a revolution in the sequencing of small genomes. Sequencing organelle genomes using PacBio long-read data is a cost effective, straightforward approach. Nevertheless, the availability of simple-to-use software to perform the assembly from raw reads is limited at present. Results We present Organelle-PBA, a Perl program designed specifically for the assembly of chloroplast and mitochondrial genomes. For chloroplast genomes, the program selects the chloroplast reads from a whole genome sequencing pool, maps the reads to a reference sequence from a closely related species, and then performs read correction andde novo assembly using Sprai. Organelle-PBA completes the assembly process with the additional step of scaffolding by SSPACE-LongRead. The program then detects the chloroplast inverted repeats and reassembles and re-orients the assembly based on the organelle origin of the reference. We have evaluated the performance of the software using PacBio reads from different species, read coverage, and reference genomes. Finally, we present the assembly of two novel chloroplast genomes from the speciesPicea glauca (Pinaceae) andSinningia speciosa (Gesneriaceae). Conclusion Organelle-PBA is an easy-to-use Perl-based software pipeline that was written specifically to assemble mitochondrial and chloroplast genomes from whole genome PacBio reads. The program is available athttps://github.com/aubombarely/Organelle_PBA . … (more)
- Is Part Of:
- BMC genomics. Volume 18:Number 1(2017)
- Journal:
- BMC genomics
- Issue:
- Volume 18:Number 1(2017)
- Issue Display:
- Volume 18, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 18
- Issue:
- 1
- Issue Sort Value:
- 2017-0018-0001-0000
- Page Start:
- 1
- Page End:
- 8
- Publication Date:
- 2017-12
- Subjects:
- Chloroplast -- Mitochondria -- PacBio -- Organelle Genome Assembly
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/s12864-016-3412-9 ↗
- 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:
- 9991.xml