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

Journal Article · · AIChE Journal
DOI:https://doi.org/10.1002/aic.16396· OSTI ID:1610933

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

Research Organization:
Univ. of Delaware, Newark, DE (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
SC0007092; DE‐SC0007092
OSTI ID:
1610933
Alternate ID(s):
OSTI ID: 1475227
Journal Information:
AIChE Journal, Vol. 64, Issue 12; ISSN 0001-1541
Publisher:
American Institute of Chemical EngineersCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 5 works
Citation information provided by
Web of Science

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