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Long-term monitoring reveals stable and remarkably similar microbial communities in parallel full-scale biogas reactors digesting energy crops

Biogas is an important renewable energy carrier. It is a product of stepwise anaerobic degradation of organic materials by highly diverse microbial communities forming complex interlinking metabolic networks. Knowledge about the microbial background of long-term stable process performance in full-sc... Full description

Journal Title: FEMS microbiology ecology 2015-03-01, Vol.91 (3)
Main Author: Lucas, Rico
Other Authors: Kuchenbuch, Anne , Fetzer, Ingo , Harms, Hauke , Kleinsteuber, Sabine
Format: Electronic Article Electronic Article
Language: English
Subjects:
Quelle: Alma/SFX Local Collection
Publisher: England: Oxford University Press
ID: ISSN: 1574-6941
Zum Text:
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recordid: cdi_swepub_primary_oai_DiVA_org_su_117379
title: Long-term monitoring reveals stable and remarkably similar microbial communities in parallel full-scale biogas reactors digesting energy crops
format: Article
creator:
  • Lucas, Rico
  • Kuchenbuch, Anne
  • Fetzer, Ingo
  • Harms, Hauke
  • Kleinsteuber, Sabine
subjects:
  • Actinobacteria - genetics
  • Actinobacteria - metabolism
  • Alternative energy sources
  • amplicon pyrosequencing
  • anaerobic digestion
  • Anaerobic microorganisms
  • Base Sequence
  • Biodegradation
  • Biofuels - microbiology
  • Biogas
  • Biological Sciences
  • Biologiska vetenskaper
  • Bioreactors
  • Bioreactors - microbiology
  • Chloroflexi - genetics
  • Chloroflexi - metabolism
  • Clostridium - genetics
  • Clostridium - metabolism
  • Communities
  • community assemblage
  • Crops
  • Crops, Agricultural - metabolism
  • Crops, Agricultural - microbiology
  • DNA Restriction Enzymes - genetics
  • DNA, Archaeal - genetics
  • Energy
  • Energy crops
  • Euryarchaeota - classification
  • Euryarchaeota - genetics
  • Euryarchaeota - metabolism
  • Fingerprinting
  • Lactobacillus - genetics
  • Lactobacillus - metabolism
  • maize silage
  • mcrA
  • Metabolic networks
  • Microbial activity
  • Microbiota - physiology
  • Microorganisms
  • Natural Sciences
  • Naturvetenskap
  • Organic materials
  • Phylogeny
  • Plants (botany)
  • Polymorphism
  • Polymorphism, Restriction Fragment Length
  • Process parameters
  • Reactors
  • Renewable energy
  • Reproducibility of Results
  • Resource management
  • Restriction fragment length polymorphism
  • Sequence Analysis, DNA
  • Streptococcus - genetics
  • Streptococcus - metabolism
  • T-RFLP
  • Variation
  • Zea mays - metabolism
  • Zea mays - microbiology
ispartof: FEMS microbiology ecology, 2015-03-01, Vol.91 (3)
description: Biogas is an important renewable energy carrier. It is a product of stepwise anaerobic degradation of organic materials by highly diverse microbial communities forming complex interlinking metabolic networks. Knowledge about the microbial background of long-term stable process performance in full-scale reactors is crucial for rationally improving the efficiency and reliability of biogas plants. To generate such knowledge, in the present study three parallel mesophilic full-scale reactors fed exclusively with energy crops were sampled weekly over one year. Physicochemical process parameters were determined and the microbial communities were analysed by terminal restriction fragment length polymorphism (T-RFLP) fingerprinting and 454-amplicon sequencing. For investigating the methanogenic community, a high-resolution T-RFLP approach based on the mcrA gene was developed by selecting restriction enzymes with improved taxonomic resolution compared to previous studies. Interestingly, no Methanosarcina-related generalists, but rather specialized hydrogenotrophic and acetoclastic methanogenic taxa were detected. In general, the microbial communities in the non-connected reactors were remarkably stable and highly similar indicating that identical environmental and process parameters resulted in identical microbial assemblages and dynamics. Practical implications such as flexible operation schemes comprising controlled variations of process parameters for an efficient microbial resource management under fluctuating process conditions are discussed. Microbial assemblages in full-scale anaerobic digesters were analysed by community fingerprinting techniques, high-throughput sequencing and multivariate statistics, and revealed to be shaped by deterministic rather than stochastic effects.
language: eng
source: Alma/SFX Local Collection
identifier: ISSN: 1574-6941
fulltext: fulltext
issn:
  • 1574-6941
  • 0168-6496
  • 1574-6941
url: Link


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titleLong-term monitoring reveals stable and remarkably similar microbial communities in parallel full-scale biogas reactors digesting energy crops
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descriptionBiogas is an important renewable energy carrier. It is a product of stepwise anaerobic degradation of organic materials by highly diverse microbial communities forming complex interlinking metabolic networks. Knowledge about the microbial background of long-term stable process performance in full-scale reactors is crucial for rationally improving the efficiency and reliability of biogas plants. To generate such knowledge, in the present study three parallel mesophilic full-scale reactors fed exclusively with energy crops were sampled weekly over one year. Physicochemical process parameters were determined and the microbial communities were analysed by terminal restriction fragment length polymorphism (T-RFLP) fingerprinting and 454-amplicon sequencing. For investigating the methanogenic community, a high-resolution T-RFLP approach based on the mcrA gene was developed by selecting restriction enzymes with improved taxonomic resolution compared to previous studies. Interestingly, no Methanosarcina-related generalists, but rather specialized hydrogenotrophic and acetoclastic methanogenic taxa were detected. In general, the microbial communities in the non-connected reactors were remarkably stable and highly similar indicating that identical environmental and process parameters resulted in identical microbial assemblages and dynamics. Practical implications such as flexible operation schemes comprising controlled variations of process parameters for an efficient microbial resource management under fluctuating process conditions are discussed. Microbial assemblages in full-scale anaerobic digesters were analysed by community fingerprinting techniques, high-throughput sequencing and multivariate statistics, and revealed to be shaped by deterministic rather than stochastic effects.
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languageeng
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subjectActinobacteria - genetics ; Actinobacteria - metabolism ; Alternative energy sources ; amplicon pyrosequencing ; anaerobic digestion ; Anaerobic microorganisms ; Base Sequence ; Biodegradation ; Biofuels - microbiology ; Biogas ; Biological Sciences ; Biologiska vetenskaper ; Bioreactors ; Bioreactors - microbiology ; Chloroflexi - genetics ; Chloroflexi - metabolism ; Clostridium - genetics ; Clostridium - metabolism ; Communities ; community assemblage ; Crops ; Crops, Agricultural - metabolism ; Crops, Agricultural - microbiology ; DNA Restriction Enzymes - genetics ; DNA, Archaeal - genetics ; Energy ; Energy crops ; Euryarchaeota - classification ; Euryarchaeota - genetics ; Euryarchaeota - metabolism ; Fingerprinting ; Lactobacillus - genetics ; Lactobacillus - metabolism ; maize silage ; mcrA ; Metabolic networks ; Microbial activity ; Microbiota - physiology ; Microorganisms ; Natural Sciences ; Naturvetenskap ; Organic materials ; Phylogeny ; Plants (botany) ; Polymorphism ; Polymorphism, Restriction Fragment Length ; Process parameters ; Reactors ; Renewable energy ; Reproducibility of Results ; Resource management ; Restriction fragment length polymorphism ; Sequence Analysis, DNA ; Streptococcus - genetics ; Streptococcus - metabolism ; T-RFLP ; Variation ; Zea mays - metabolism ; Zea mays - microbiology
ispartofFEMS microbiology ecology, 2015-03-01, Vol.91 (3)
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0FEMS 2015. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com . 2015
1FEMS 2015. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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descriptionBiogas is an important renewable energy carrier. It is a product of stepwise anaerobic degradation of organic materials by highly diverse microbial communities forming complex interlinking metabolic networks. Knowledge about the microbial background of long-term stable process performance in full-scale reactors is crucial for rationally improving the efficiency and reliability of biogas plants. To generate such knowledge, in the present study three parallel mesophilic full-scale reactors fed exclusively with energy crops were sampled weekly over one year. Physicochemical process parameters were determined and the microbial communities were analysed by terminal restriction fragment length polymorphism (T-RFLP) fingerprinting and 454-amplicon sequencing. For investigating the methanogenic community, a high-resolution T-RFLP approach based on the mcrA gene was developed by selecting restriction enzymes with improved taxonomic resolution compared to previous studies. Interestingly, no Methanosarcina-related generalists, but rather specialized hydrogenotrophic and acetoclastic methanogenic taxa were detected. In general, the microbial communities in the non-connected reactors were remarkably stable and highly similar indicating that identical environmental and process parameters resulted in identical microbial assemblages and dynamics. Practical implications such as flexible operation schemes comprising controlled variations of process parameters for an efficient microbial resource management under fluctuating process conditions are discussed. Microbial assemblages in full-scale anaerobic digesters were analysed by community fingerprinting techniques, high-throughput sequencing and multivariate statistics, and revealed to be shaped by deterministic rather than stochastic effects.
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1Actinobacteria - metabolism
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3amplicon pyrosequencing
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5Anaerobic microorganisms
6Base Sequence
7Biodegradation
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9Biogas
10Biological Sciences
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12Bioreactors
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14Chloroflexi - genetics
15Chloroflexi - metabolism
16Clostridium - genetics
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18Communities
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21Crops, Agricultural - metabolism
22Crops, Agricultural - microbiology
23DNA Restriction Enzymes - genetics
24DNA, Archaeal - genetics
25Energy
26Energy crops
27Euryarchaeota - classification
28Euryarchaeota - genetics
29Euryarchaeota - metabolism
30Fingerprinting
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32Lactobacillus - metabolism
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34mcrA
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36Microbial activity
37Microbiota - physiology
38Microorganisms
39Natural Sciences
40Naturvetenskap
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42Phylogeny
43Plants (botany)
44Polymorphism
45Polymorphism, Restriction Fragment Length
46Process parameters
47Reactors
48Renewable energy
49Reproducibility of Results
50Resource management
51Restriction fragment length polymorphism
52Sequence Analysis, DNA
53Streptococcus - genetics
54Streptococcus - metabolism
55T-RFLP
56Variation
57Zea mays - metabolism
58Zea mays - microbiology
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abstractBiogas is an important renewable energy carrier. It is a product of stepwise anaerobic degradation of organic materials by highly diverse microbial communities forming complex interlinking metabolic networks. Knowledge about the microbial background of long-term stable process performance in full-scale reactors is crucial for rationally improving the efficiency and reliability of biogas plants. To generate such knowledge, in the present study three parallel mesophilic full-scale reactors fed exclusively with energy crops were sampled weekly over one year. Physicochemical process parameters were determined and the microbial communities were analysed by terminal restriction fragment length polymorphism (T-RFLP) fingerprinting and 454-amplicon sequencing. For investigating the methanogenic community, a high-resolution T-RFLP approach based on the mcrA gene was developed by selecting restriction enzymes with improved taxonomic resolution compared to previous studies. Interestingly, no Methanosarcina-related generalists, but rather specialized hydrogenotrophic and acetoclastic methanogenic taxa were detected. In general, the microbial communities in the non-connected reactors were remarkably stable and highly similar indicating that identical environmental and process parameters resulted in identical microbial assemblages and dynamics. Practical implications such as flexible operation schemes comprising controlled variations of process parameters for an efficient microbial resource management under fluctuating process conditions are discussed. Microbial assemblages in full-scale anaerobic digesters were analysed by community fingerprinting techniques, high-throughput sequencing and multivariate statistics, and revealed to be shaped by deterministic rather than stochastic effects.
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