title: Single-cell genome and metatranscriptome sequencing reveal metabolic interactions of an alkane-degrading methanogenic community.
abstract: Microbial interactions have a key role in global geochemical cycles. Although we possess significant knowledge about the general biochemical processes occurring in microbial communities, we are often unable to decipher key functions of individual microorganisms within the environment in part owing to the inability to cultivate or study them in isolation. Here, we circumvent this shortcoming through the use of single-cell genome sequencing and a novel low-input metatranscriptomics protocol to reveal the intricate metabolic capabilities and microbial interactions of an alkane-degrading methanogenic community. This methanogenic consortium oxidizes saturated hydrocarbons under anoxic conditions through a thus-far-uncharacterized biochemical process. The genome sequence of a dominant bacterial member of this community, belonging to the genus Smithella, was sequenced and served as the basis for subsequent analysis through metabolic reconstruction. Metatranscriptomic data generated from less than 500 pg of mRNA highlighted metabolically active genes during anaerobic alkane oxidation in comparison with growth on fatty acids. These data sets suggest that Smithella is not activating hexadecane by fumarate addition. Differential expression assisted in the identification of hypothetical proteins with no known homology that may be involved in hexadecane activation. Additionally, the combination of 16S rDNA sequence and metatranscriptomic data enabled the study of other prevalent organisms within the consortium and their interactions with Smithella, thus yielding a comprehensive characterization of individual constituents at the genome scale during methanogenic alkane oxidation.
authors.affiliation: Department of Bioengineering, University of California, San Diego, CA, USA.
authors.forename: Mallory
authors.initials: M
authors.lastname: Embree
authors.affiliation: Department of Bioengineering, University of California, San Diego, CA, USA.
authors.forename: Harish
authors.initials: H
authors.lastname: Nagarajan
authors.affiliation: Department of Computer Science, Wayne State University, Detroit, MI, USA.
authors.forename: Narjes
authors.initials: N
authors.lastname: Movahedi
authors.affiliation: Department of Computer Science, Wayne State University, Detroit, MI, USA.
authors.forename: Hamidreza
authors.initials: H
authors.lastname: Chitsaz
authors.affiliation: Department of Bioengineering, University of California, San Diego, CA, USA.
authors.forename: Karsten
authors.initials: K
authors.lastname: Zengler
mesh_terms: D000473:Alkanes / Q000378:metabolism*; D000693:Anaerobiosis; D020564:Deltaproteobacteria / Q000235:genetics* / Q000378:metabolism*; D017753:Ecosystem; D019605:Euryarchaeota / Q000235:genetics / Q000378:metabolism; D005227:Fatty Acids / Q000378:metabolism; D005798:Genes, Bacterial / Q000235:genetics; D016678:Genome; D008969:Molecular Sequence Data; D012336:RNA, Ribosomal, 16S / Q000235:genetics; D059010:Single-Cell Analysis; D059467:Transcriptome
chemical_list: D000473:Alkanes; D005227:Fatty Acids; D012336:RNA, Ribosomal, 16S