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Title: RNAseq-based transcriptome assembly of Clostridium acetobutylicum for functional genome annotation and discovery

Abstract

Accurate genome annotations are essential in modern biology and biotechnology, yet they are still largely based on genome sequencing and comparative analyses. We show that the Clostridium acetobutylicum genome annotation can be markedly improved by integrating bioinformatic predictions with RNA sequencing (RNAseq) data. Samples were acquired under butanol, butyrate, and unstressed treatments across various growth conditions. Analysis of an initial assembly revealed errors due to background signals and limitations of assembly algorithms. Hurdles for RNAseq transcriptome mapping include optimizing library complexity and sequencing depth, yet most studies report low sequencing depth and ignore the effect of ribosomal RNA abundance. An integrative analysis was developed to combine motif predictions, single‐nucleotide resolution sequencing depth, and library complexity to resolve difficulties in assembly curation. This minimized false positive error and determined gene boundaries, in some cases, to the exact base‐pair of prior studies. This is the first strand‐specific transcriptome assembly in a Clostridium organism. © 2018 American Institute of Chemical Engineers AIChE J , 64: 4271–4280, 2018

Authors:
 [1]; ORCiD logo [1]
  1. Univ. of Delaware, Newark, DE (United States)
Publication Date:
Research Org.:
Univ. of Delaware, Newark, DE (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1610933
Alternate Identifier(s):
OSTI ID: 1475227
Grant/Contract Number:  
SC0007092; DE‐SC0007092
Resource Type:
Accepted Manuscript
Journal Name:
AIChE Journal
Additional Journal Information:
Journal Volume: 64; Journal Issue: 12; Journal ID: ISSN 0001-1541
Publisher:
American Institute of Chemical Engineers
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; Engineering; RNAseq; novel transcripts; acetone-butanol; small RNAs; antisense RNAs

Citation Formats

Ralston, Matthew T., and Papoutsakis, Eleftherios T. RNAseq-based transcriptome assembly of Clostridium acetobutylicum for functional genome annotation and discovery. United States: N. p., 2022. Web. doi:10.1002/aic.16396.
Ralston, Matthew T., & Papoutsakis, Eleftherios T. RNAseq-based transcriptome assembly of Clostridium acetobutylicum for functional genome annotation and discovery. United States. https://doi.org/10.1002/aic.16396
Ralston, Matthew T., and Papoutsakis, Eleftherios T. Tue . "RNAseq-based transcriptome assembly of Clostridium acetobutylicum for functional genome annotation and discovery". United States. https://doi.org/10.1002/aic.16396. https://www.osti.gov/servlets/purl/1610933.
@article{osti_1610933,
title = {RNAseq-based transcriptome assembly of Clostridium acetobutylicum for functional genome annotation and discovery},
author = {Ralston, Matthew T. and Papoutsakis, Eleftherios T.},
abstractNote = {Accurate genome annotations are essential in modern biology and biotechnology, yet they are still largely based on genome sequencing and comparative analyses. We show that the Clostridium acetobutylicum genome annotation can be markedly improved by integrating bioinformatic predictions with RNA sequencing (RNAseq) data. Samples were acquired under butanol, butyrate, and unstressed treatments across various growth conditions. Analysis of an initial assembly revealed errors due to background signals and limitations of assembly algorithms. Hurdles for RNAseq transcriptome mapping include optimizing library complexity and sequencing depth, yet most studies report low sequencing depth and ignore the effect of ribosomal RNA abundance. An integrative analysis was developed to combine motif predictions, single‐nucleotide resolution sequencing depth, and library complexity to resolve difficulties in assembly curation. This minimized false positive error and determined gene boundaries, in some cases, to the exact base‐pair of prior studies. This is the first strand‐specific transcriptome assembly in a Clostridium organism. © 2018 American Institute of Chemical Engineers AIChE J , 64: 4271–4280, 2018},
doi = {10.1002/aic.16396},
journal = {AIChE Journal},
number = 12,
volume = 64,
place = {United States},
year = {Tue Aug 30 00:00:00 EDT 2022},
month = {Tue Aug 30 00:00:00 EDT 2022}
}

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