Profiling of the metabolically active community from a production-scale biogas plant by means of high-throughput metatranscriptome sequencing

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Profiling of the metabolically active community from a production-scale biogas plant by means of high-throughput metatranscriptome sequencing. / Zakrzewski, Martha; Goesmann, Alexander; Jaenicke, Sebastian; Jünemann, Sebastian; Eikmeyer, Felix; Szczepanowski, Rafael; Abu Al-Soud, Waleed; Sørensen, Søren Johannes; Pühler, Alfred; Schlüter, Andreas.

In: Journal of Biotechnology, Vol. 158, No. 4, 2012, p. 248-258.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Zakrzewski, M, Goesmann, A, Jaenicke, S, Jünemann, S, Eikmeyer, F, Szczepanowski, R, Abu Al-Soud, W, Sørensen, SJ, Pühler, A & Schlüter, A 2012, 'Profiling of the metabolically active community from a production-scale biogas plant by means of high-throughput metatranscriptome sequencing', Journal of Biotechnology, vol. 158, no. 4, pp. 248-258. https://doi.org/10.1016/j.jbiotec.2012.01.020

APA

Zakrzewski, M., Goesmann, A., Jaenicke, S., Jünemann, S., Eikmeyer, F., Szczepanowski, R., Abu Al-Soud, W., Sørensen, S. J., Pühler, A., & Schlüter, A. (2012). Profiling of the metabolically active community from a production-scale biogas plant by means of high-throughput metatranscriptome sequencing. Journal of Biotechnology, 158(4), 248-258. https://doi.org/10.1016/j.jbiotec.2012.01.020

Vancouver

Zakrzewski M, Goesmann A, Jaenicke S, Jünemann S, Eikmeyer F, Szczepanowski R et al. Profiling of the metabolically active community from a production-scale biogas plant by means of high-throughput metatranscriptome sequencing. Journal of Biotechnology. 2012;158(4):248-258. https://doi.org/10.1016/j.jbiotec.2012.01.020

Author

Zakrzewski, Martha ; Goesmann, Alexander ; Jaenicke, Sebastian ; Jünemann, Sebastian ; Eikmeyer, Felix ; Szczepanowski, Rafael ; Abu Al-Soud, Waleed ; Sørensen, Søren Johannes ; Pühler, Alfred ; Schlüter, Andreas. / Profiling of the metabolically active community from a production-scale biogas plant by means of high-throughput metatranscriptome sequencing. In: Journal of Biotechnology. 2012 ; Vol. 158, No. 4. pp. 248-258.

Bibtex

@article{a8b4d55ea1164fa8ae0a2b2efcfb0526,
title = "Profiling of the metabolically active community from a production-scale biogas plant by means of high-throughput metatranscriptome sequencing",
abstract = "Structural composition and gene content of a biogas-producing microbial community from a production-scale biogas plant fed with renewable primary products was recently analyzed by means of a metagenome sequencing approach. To determine the transcriptionally active part of the same biogas community and to identify key transcripts for the biogas production process, the metatranscriptome of the microorganisms was sequenced for the first time. The metatranscriptome sequence dataset generated on the Genome Sequencer FLX platform is represented by 484,920 sequence reads. Taxonomic profiling of the active part of the community by classification of 16S ribosomal sequence tags revealed that members of the Euryarchaeota and Firmicutes account for the dominant phyla. Only smaller fractions of the 16S ribosomal sequence tags were assigned to the phyla Bacteroidetes, Actinobacteria and Synergistetes. Among the mRNA-derived sequence tags from the metatranscriptome dataset, transcripts encoding enzymes involved in substrate hydrolysis, acidogenesis, acetate formation and methanogenesis could be identified. Transcripts for enzymes functioning in methanogenesis are among the most abundant mRNA tags indicating that the corresponding pathway is very active in the methanogenic sub-community. As a frame of reference for evaluation of metatranscriptome sequence data, the 16S rDNA-based taxonomic profile of the community was analyzed by means of high-throughput 16S rDNA amplicon sequencing. Processing of the obtained amplicon reads resulted in 18,598 high-quality 16S rDNA sequences covering the V3-V4 hypervariable region of the 16S rRNA gene. Comparison of the taxonomic profiles deduced from 16S rDNA amplicon sequences and the metatranscriptome dataset indicates a high transcriptional activity of archaeal species. Overall, it was shown that the most abundant species dominating the community also contributed the majority of the transcripts. In the future, key transcripts for the biogas production process will provide valuable markers for evaluation of the performance of biogas-producing microbial communities with the objective to optimize the biotechnology of this process.",
author = "Martha Zakrzewski and Alexander Goesmann and Sebastian Jaenicke and Sebastian J{\"u}nemann and Felix Eikmeyer and Rafael Szczepanowski and {Abu Al-Soud}, Waleed and S{\o}rensen, {S{\o}ren Johannes} and Alfred P{\"u}hler and Andreas Schl{\"u}ter",
note = "Special Issue: ESF Conference (Microbes and Industrial Biotechnology)",
year = "2012",
doi = "10.1016/j.jbiotec.2012.01.020",
language = "English",
volume = "158",
pages = "248--258",
journal = "Journal of Biotechnology",
issn = "0168-1656",
publisher = "Elsevier",
number = "4",

}

RIS

TY - JOUR

T1 - Profiling of the metabolically active community from a production-scale biogas plant by means of high-throughput metatranscriptome sequencing

AU - Zakrzewski, Martha

AU - Goesmann, Alexander

AU - Jaenicke, Sebastian

AU - Jünemann, Sebastian

AU - Eikmeyer, Felix

AU - Szczepanowski, Rafael

AU - Abu Al-Soud, Waleed

AU - Sørensen, Søren Johannes

AU - Pühler, Alfred

AU - Schlüter, Andreas

N1 - Special Issue: ESF Conference (Microbes and Industrial Biotechnology)

PY - 2012

Y1 - 2012

N2 - Structural composition and gene content of a biogas-producing microbial community from a production-scale biogas plant fed with renewable primary products was recently analyzed by means of a metagenome sequencing approach. To determine the transcriptionally active part of the same biogas community and to identify key transcripts for the biogas production process, the metatranscriptome of the microorganisms was sequenced for the first time. The metatranscriptome sequence dataset generated on the Genome Sequencer FLX platform is represented by 484,920 sequence reads. Taxonomic profiling of the active part of the community by classification of 16S ribosomal sequence tags revealed that members of the Euryarchaeota and Firmicutes account for the dominant phyla. Only smaller fractions of the 16S ribosomal sequence tags were assigned to the phyla Bacteroidetes, Actinobacteria and Synergistetes. Among the mRNA-derived sequence tags from the metatranscriptome dataset, transcripts encoding enzymes involved in substrate hydrolysis, acidogenesis, acetate formation and methanogenesis could be identified. Transcripts for enzymes functioning in methanogenesis are among the most abundant mRNA tags indicating that the corresponding pathway is very active in the methanogenic sub-community. As a frame of reference for evaluation of metatranscriptome sequence data, the 16S rDNA-based taxonomic profile of the community was analyzed by means of high-throughput 16S rDNA amplicon sequencing. Processing of the obtained amplicon reads resulted in 18,598 high-quality 16S rDNA sequences covering the V3-V4 hypervariable region of the 16S rRNA gene. Comparison of the taxonomic profiles deduced from 16S rDNA amplicon sequences and the metatranscriptome dataset indicates a high transcriptional activity of archaeal species. Overall, it was shown that the most abundant species dominating the community also contributed the majority of the transcripts. In the future, key transcripts for the biogas production process will provide valuable markers for evaluation of the performance of biogas-producing microbial communities with the objective to optimize the biotechnology of this process.

AB - Structural composition and gene content of a biogas-producing microbial community from a production-scale biogas plant fed with renewable primary products was recently analyzed by means of a metagenome sequencing approach. To determine the transcriptionally active part of the same biogas community and to identify key transcripts for the biogas production process, the metatranscriptome of the microorganisms was sequenced for the first time. The metatranscriptome sequence dataset generated on the Genome Sequencer FLX platform is represented by 484,920 sequence reads. Taxonomic profiling of the active part of the community by classification of 16S ribosomal sequence tags revealed that members of the Euryarchaeota and Firmicutes account for the dominant phyla. Only smaller fractions of the 16S ribosomal sequence tags were assigned to the phyla Bacteroidetes, Actinobacteria and Synergistetes. Among the mRNA-derived sequence tags from the metatranscriptome dataset, transcripts encoding enzymes involved in substrate hydrolysis, acidogenesis, acetate formation and methanogenesis could be identified. Transcripts for enzymes functioning in methanogenesis are among the most abundant mRNA tags indicating that the corresponding pathway is very active in the methanogenic sub-community. As a frame of reference for evaluation of metatranscriptome sequence data, the 16S rDNA-based taxonomic profile of the community was analyzed by means of high-throughput 16S rDNA amplicon sequencing. Processing of the obtained amplicon reads resulted in 18,598 high-quality 16S rDNA sequences covering the V3-V4 hypervariable region of the 16S rRNA gene. Comparison of the taxonomic profiles deduced from 16S rDNA amplicon sequences and the metatranscriptome dataset indicates a high transcriptional activity of archaeal species. Overall, it was shown that the most abundant species dominating the community also contributed the majority of the transcripts. In the future, key transcripts for the biogas production process will provide valuable markers for evaluation of the performance of biogas-producing microbial communities with the objective to optimize the biotechnology of this process.

U2 - 10.1016/j.jbiotec.2012.01.020

DO - 10.1016/j.jbiotec.2012.01.020

M3 - Journal article

C2 - 22342600

VL - 158

SP - 248

EP - 258

JO - Journal of Biotechnology

JF - Journal of Biotechnology

SN - 0168-1656

IS - 4

ER -

ID: 40801777