Metagenomics for biogas production

Research output: Contribution to conferencePosterOther research output

Abstract

Next-generation sequencing technology allows culture- independent analysis of species and genes present in a complex microbial community. Such metagenomics may overcome the inability to culture microbes in isolation. Microbial communities of interest are for example responsible for making biogas. Many applications in metagenomics focus on 16S RNA analysis. We here evaluate the possibility of whole genome analysis (WGS) as approach for metagenomics studies.
Samples (Table 1) from three biogas installations fed with different feedstock were used for DNA isolation and WGS analysis. Short (75b) Illumina paired-end DNA sequence reads were generated and assembled into larger continuous stretches (contigs),
Acknowledgements
Results show that WGS is feasible for complex community analysis. Large groups of organisms (for example the class Methanomicrobia) are present in all samples with a possible role in the biogas production pathway.
Assemble reads into contigs
•meta-velveth as metagenomics reads assembler
Sequence
similarity
search
•proteome reference database from all currently available Bacteria and Achaea genomes
Assign hits to taxa
•Lowest common ancestor method incorporated in MEGAN4
Such studies will help to identify and use microbial species for future improvements of biogas production dependence on process parameters and feedstock.
Original languageEnglish
Number of pages1
Publication statusPublished - 7 Nov 2012
EventDomein Applied Science Conferentie 2012 - Hanze University of Applied Sciences, Groningen, Netherlands
Duration: 7 Nov 2012 → …
https://www.hanze.nl/nld/onderwijs/techniek/instituut-voor-life-science--technology/organisatie/overzichten/nieuws/domein-applied-science-das-conferentie-op-7-november-2012

Conference

ConferenceDomein Applied Science Conferentie 2012
Abbreviated titleDAS 2012
CountryNetherlands
CityGroningen
Period7/11/12 → …
Internet address

Keywords

  • biogas
  • anaerobic digestion
  • metagenomics

Cite this

Wedema, R., Hofstede, G., Warris, S., Noback, M., Faber, F., & Nap, J. P. (2012). Metagenomics for biogas production. Poster session presented at Domein Applied Science Conferentie 2012, Groningen, Netherlands.
Wedema, Ronald ; Hofstede, Gert ; Warris, Sven ; Noback, Michiel ; Faber, Folkert ; Nap, Jan Peter. / Metagenomics for biogas production. Poster session presented at Domein Applied Science Conferentie 2012, Groningen, Netherlands.1 p.
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Wedema, R, Hofstede, G, Warris, S, Noback, M, Faber, F & Nap, JP 2012, 'Metagenomics for biogas production' Domein Applied Science Conferentie 2012, Groningen, Netherlands, 7/11/12, .

Metagenomics for biogas production. / Wedema, Ronald ; Hofstede, Gert; Warris, Sven; Noback, Michiel; Faber, Folkert; Nap, Jan Peter.

2012. Poster session presented at Domein Applied Science Conferentie 2012, Groningen, Netherlands.

Research output: Contribution to conferencePosterOther research output

TY - CONF

T1 - Metagenomics for biogas production

AU - Wedema, Ronald

AU - Hofstede, Gert

AU - Warris, Sven

AU - Noback, Michiel

AU - Faber, Folkert

AU - Nap, Jan Peter

PY - 2012/11/7

Y1 - 2012/11/7

N2 - Next-generation sequencing technology allows culture- independent analysis of species and genes present in a complex microbial community. Such metagenomics may overcome the inability to culture microbes in isolation. Microbial communities of interest are for example responsible for making biogas. Many applications in metagenomics focus on 16S RNA analysis. We here evaluate the possibility of whole genome analysis (WGS) as approach for metagenomics studies.Samples (Table 1) from three biogas installations fed with different feedstock were used for DNA isolation and WGS analysis. Short (75b) Illumina paired-end DNA sequence reads were generated and assembled into larger continuous stretches (contigs),AcknowledgementsResults show that WGS is feasible for complex community analysis. Large groups of organisms (for example the class Methanomicrobia) are present in all samples with a possible role in the biogas production pathway.Assemble reads into contigs•meta-velveth as metagenomics reads assemblerSequencesimilaritysearch•proteome reference database from all currently available Bacteria and Achaea genomesAssign hits to taxa•Lowest common ancestor method incorporated in MEGAN4Such studies will help to identify and use microbial species for future improvements of biogas production dependence on process parameters and feedstock.

AB - Next-generation sequencing technology allows culture- independent analysis of species and genes present in a complex microbial community. Such metagenomics may overcome the inability to culture microbes in isolation. Microbial communities of interest are for example responsible for making biogas. Many applications in metagenomics focus on 16S RNA analysis. We here evaluate the possibility of whole genome analysis (WGS) as approach for metagenomics studies.Samples (Table 1) from three biogas installations fed with different feedstock were used for DNA isolation and WGS analysis. Short (75b) Illumina paired-end DNA sequence reads were generated and assembled into larger continuous stretches (contigs),AcknowledgementsResults show that WGS is feasible for complex community analysis. Large groups of organisms (for example the class Methanomicrobia) are present in all samples with a possible role in the biogas production pathway.Assemble reads into contigs•meta-velveth as metagenomics reads assemblerSequencesimilaritysearch•proteome reference database from all currently available Bacteria and Achaea genomesAssign hits to taxa•Lowest common ancestor method incorporated in MEGAN4Such studies will help to identify and use microbial species for future improvements of biogas production dependence on process parameters and feedstock.

KW - biogas

KW - anaerobe vergisting

KW - metagenomica

KW - biogas

KW - anaerobic digestion

KW - metagenomics

M3 - Poster

ER -

Wedema R, Hofstede G, Warris S, Noback M, Faber F, Nap JP. Metagenomics for biogas production. 2012. Poster session presented at Domein Applied Science Conferentie 2012, Groningen, Netherlands.