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Chen J, Cai Y, Wang Z, Xu Z, Zhuang W, Liu D, Lv Y, Wang S, Xu J, Ying H. Solid-state fermentation of corn straw using synthetic microbiome to produce fermented feed: The feed quality and conversion mechanism. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 920:171034. [PMID: 38369147 DOI: 10.1016/j.scitotenv.2024.171034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 02/11/2024] [Accepted: 02/15/2024] [Indexed: 02/20/2024]
Abstract
Straw is a typical biomass resource which can be converted into high nutritional value feed via microbial fermentation. The degradation and conversion of straw using a synthetic microbial community (SMC-8) was functionally investigated to characterise its nitrogen conversion and carbon metabolism. Four species of bacteria were found to utilise >20 % of the inorganic nitrogen within 15 h, and the ratio of the diameter of fungal transparent circles (D) to the diameter of the colony (d) of the four fungal species was >1. Solid-state fermentation of corn straw increased the total amino acid (AA) content by 41.69 %. The absolute digestibility of fermented corn straw dry weight (DW) and true protein was 34.34 % and 45.29 %, respectively. Comprehensive analysis of functional proteins revealed that Aspergillus niger, Trichoderma viride, Cladosporium cladosporioides, Bacillus subtilis and Acinetobacter johnsonii produce a complex enzyme system during corn straw fermentation, which plays a key role in the degradation of lignocellulose. This study provided a new insight in utilizing corn straw.
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Affiliation(s)
- Jinmeng Chen
- School of Chemical Engineering, Zhengzhou University, 100 Ke xue Dadao, Zhengzhou 450001, China
| | - Yafan Cai
- School of Chemical Engineering, Zhengzhou University, 100 Ke xue Dadao, Zhengzhou 450001, China
| | - Zhi Wang
- School of Chemical Engineering, Zhengzhou University, 100 Ke xue Dadao, Zhengzhou 450001, China
| | - Zhengzhong Xu
- School of Chemical Engineering, Zhengzhou University, 100 Ke xue Dadao, Zhengzhou 450001, China
| | - Wei Zhuang
- School of Chemical Engineering, Zhengzhou University, 100 Ke xue Dadao, Zhengzhou 450001, China; National Engineering Technique Research Center for Biotechnology, State Key Laboratory of Materials Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 210009, China
| | - Dong Liu
- School of Chemical Engineering, Zhengzhou University, 100 Ke xue Dadao, Zhengzhou 450001, China; National Engineering Technique Research Center for Biotechnology, State Key Laboratory of Materials Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 210009, China
| | - Yongkun Lv
- School of Chemical Engineering, Zhengzhou University, 100 Ke xue Dadao, Zhengzhou 450001, China
| | - Shilei Wang
- School of Chemical Engineering, Zhengzhou University, 100 Ke xue Dadao, Zhengzhou 450001, China.
| | - Jingliang Xu
- School of Chemical Engineering, Zhengzhou University, 100 Ke xue Dadao, Zhengzhou 450001, China
| | - Hanjie Ying
- School of Chemical Engineering, Zhengzhou University, 100 Ke xue Dadao, Zhengzhou 450001, China; National Engineering Technique Research Center for Biotechnology, State Key Laboratory of Materials Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 210009, China
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2
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Abstract
Opencast mining drastically alters the landscape due to complete vegetation suppression and removal of topsoil layers. Precise indicators able to address incremental changes in soil quality are necessary to monitor and evaluate mineland rehabilitation projects. For this purpose, metaproteomics may be a useful tool due to its capacity to shed light on both taxonomic and functional overviews of soil biodiversity, allowing the linkage between proteins found in soil and ecosystem functioning. We investigated bacterial proteins and peptide abundance of three different mineland rehabilitation stages and compared it with a non-rehabilitated site and a native area (evergreen dense forest) in the eastern Amazon. The total amount of identified soil proteins was significantly higher in the rehabilitating and native soils than in the non-rehabilitated site. Regarding soil bacterial composition, the intermediate and advanced sites were shown to be most similar to native soil. Cyanobacteria and Firmicutes phyla are abundant in the early stages of environmental rehabilitation, while Proteobacteria population dominates the later stages. Enzyme abundances and function in the three rehabilitation stages were more similar to those found in the native soil, and the higher accumulation of many hydrolases and oxidoreductases reflects the improvement of soil biological activity in the rehabilitating sites when compared to the non-rehabilitated areas. Moreover, critical ecological processes, such as carbon and nitrogen cycling, seem to return to the soil in short periods after the start of rehabilitation activities (i.e., 4 years). Metaproteomics revealed that the biochemical processes that occur belowground can be followed throughout rehabilitation stages, and the enzymes shown here can be used as targets for environmental monitoring of mineland rehabilitation projects.
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3
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Herruzo-Ruiz AM, Fuentes-Almagro CA, Jiménez-Pastor JM, Pérez-Rosa VM, Blasco J, Michán C, Alhama J. Meta-omic evaluation of bacterial microbial community structure and activity for the environmental assessment of soils: overcoming protein extraction pitfalls. Environ Microbiol 2021; 23:4706-4725. [PMID: 34258847 DOI: 10.1111/1462-2920.15673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 07/08/2021] [Accepted: 07/11/2021] [Indexed: 11/27/2022]
Abstract
Microorganisms play unique, essential and integral roles in the biosphere. This work aims to assess the utility of soil's metaomics for environmental diagnosis. Doñana National Park (DNP) was selected as a natural lab since it contains a strictly protected core that is surrounded by numerous threats of pollution. Culture-independent high-throughput molecular tools were used to evaluate the alterations of the global structure and metabolic activities of the microbiome. 16S rRNA sequencing shows lower bacterial abundance and diversity in areas historically exposed to contamination that surround DNP. For metaproteomics, an innovative post-alkaline protein extraction protocol was developed. After NaOH treatment, successive washing with Tris-HCl buffer supplemented with glycerol was essential to eliminate interferences. Starting from soils with different physicochemical characteristics, the method renders proteins with a remarkable resolution on SDS-PAGE gels. The proteins extracted were analysed by using an in-house database constructed from the rRNA data. LC-MS/MS analysis identified 2182 non-redundant proteins with 135 showing significant differences in relative abundance in the soils around DNP. Relevant global biological processes were altered in response to the environmental changes, such as protective and antioxidant mechanisms, translation, folding and homeostasis of proteins, membrane transport and aerobic respiratory metabolism.
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Affiliation(s)
- Ana M Herruzo-Ruiz
- Departamento de Bioquímica y Biología Molecular, Campus de Excelencia Internacional Agroalimentario CeiA3, Universidad de Córdoba, Campus de Rabanales, Edificio Severo Ochoa, Córdoba, E-14071, Spain
| | | | - José M Jiménez-Pastor
- Departamento de Bioquímica y Biología Molecular, Campus de Excelencia Internacional Agroalimentario CeiA3, Universidad de Córdoba, Campus de Rabanales, Edificio Severo Ochoa, Córdoba, E-14071, Spain
| | - Víctor M Pérez-Rosa
- Departamento de Bioquímica y Biología Molecular, Campus de Excelencia Internacional Agroalimentario CeiA3, Universidad de Córdoba, Campus de Rabanales, Edificio Severo Ochoa, Córdoba, E-14071, Spain
| | - Julián Blasco
- Department of Ecology and Coastal Management, ICMAN-CSIC, Campus Rio San Pedro, Puerto Real, E-11510, Spain
| | - Carmen Michán
- Departamento de Bioquímica y Biología Molecular, Campus de Excelencia Internacional Agroalimentario CeiA3, Universidad de Córdoba, Campus de Rabanales, Edificio Severo Ochoa, Córdoba, E-14071, Spain
| | - José Alhama
- Departamento de Bioquímica y Biología Molecular, Campus de Excelencia Internacional Agroalimentario CeiA3, Universidad de Córdoba, Campus de Rabanales, Edificio Severo Ochoa, Córdoba, E-14071, Spain
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4
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Heyer R, Schallert K, Büdel A, Zoun R, Dorl S, Behne A, Kohrs F, Püttker S, Siewert C, Muth T, Saake G, Reichl U, Benndorf D. A Robust and Universal Metaproteomics Workflow for Research Studies and Routine Diagnostics Within 24 h Using Phenol Extraction, FASP Digest, and the MetaProteomeAnalyzer. Front Microbiol 2019; 10:1883. [PMID: 31474963 PMCID: PMC6707425 DOI: 10.3389/fmicb.2019.01883] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 07/30/2019] [Indexed: 01/29/2023] Open
Abstract
The investigation of microbial proteins by mass spectrometry (metaproteomics) is a key technology for simultaneously assessing the taxonomic composition and the functionality of microbial communities in medical, environmental, and biotechnological applications. We present an improved metaproteomics workflow using an updated sample preparation and a new version of the MetaProteomeAnalyzer software for data analysis. High resolution by multidimensional separation (GeLC, MudPIT) was sacrificed to aim at fast analysis of a broad range of different samples in less than 24 h. The improved workflow generated at least two times as many protein identifications than our previous workflow, and a drastic increase of taxonomic and functional annotations. Improvements of all aspects of the workflow, particularly the speed, are first steps toward potential routine clinical diagnostics (i.e., fecal samples) and analysis of technical and environmental samples. The MetaProteomeAnalyzer is provided to the scientific community as a central remote server solution at www.mpa.ovgu.de.
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Affiliation(s)
- Robert Heyer
- Bioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Kay Schallert
- Bioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Anja Büdel
- Bioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Roman Zoun
- Database Research Group, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Sebastian Dorl
- Bioinformatics Research Group, University of Applied Sciences Upper Austria, Hagenberg, Austria
| | | | - Fabian Kohrs
- Bioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Sebastian Püttker
- Bioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Corina Siewert
- Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg, Magdeburg, Germany
| | - Thilo Muth
- Bioinformatics Unit (MF 1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, Berlin, Germany
| | - Gunter Saake
- Database Research Group, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Udo Reichl
- Bioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany
- Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg, Magdeburg, Germany
| | - Dirk Benndorf
- Bioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany
- Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg, Magdeburg, Germany
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5
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Liu D, Keiblinger KM, Leitner S, Wegner U, Zimmermann M, Fuchs S, Lassek C, Riedel K, Zechmeister-Boltenstern S. Response of Microbial Communities and Their Metabolic Functions to Drying⁻Rewetting Stress in a Temperate Forest Soil. Microorganisms 2019; 7:E129. [PMID: 31086038 PMCID: PMC6560457 DOI: 10.3390/microorganisms7050129] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 05/05/2019] [Accepted: 05/06/2019] [Indexed: 11/23/2022] Open
Abstract
Global climate change is predicted to alter drought-precipitation patterns, which will likely affect soil microbial communities and their functions, ultimately shifting microbially-mediated biogeochemical cycles. The present study aims to investigate the simultaneous variation of microbial community compositions and functions in response to drought and following rewetting events, using a soil metaproteomics approach. For this, an established field experiment located in an Austrian forest with two levels (moderate and severe stress) of precipitation manipulation was evaluated. The results showed that fungi were more strongly influenced by drying and rewetting (DRW) than bacteria, and that there was a drastic shift in the fungal community towards a more Ascomycota-dominated community. In terms of functional responses, a larger number of proteins and a higher functional diversity were observed in both moderate and severe DRW treatments compared to the control. Furthermore, in both DRW treatments a rise in proteins assigned to "translation, ribosomal structure, and biogenesis" and "protein synthesis" suggests a boost in microbial cell growth after rewetting. We also found that the changes within intracellular functions were associated to specific phyla, indicating that responses of microbial communities to DRW primarily shifted microbial functions. Microbial communities seem to respond to different levels of DRW stress by changing their functional potential, which may feed back to biogeochemical cycles.
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Affiliation(s)
- Dong Liu
- Institute of Soil Research, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences Vienna (BOKU), Peter Jordan-Straße 82, 1190 Vienna, Austria.
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China.
| | - Katharina M Keiblinger
- Institute of Soil Research, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences Vienna (BOKU), Peter Jordan-Straße 82, 1190 Vienna, Austria.
| | - Sonja Leitner
- Institute of Soil Research, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences Vienna (BOKU), Peter Jordan-Straße 82, 1190 Vienna, Austria.
- International Livestock Research Institute (ILRI), Mazingira Centre for Environmental Research and Education, Box 30709, Nairobi 00100, Kenya.
| | - Uwe Wegner
- Institute of Microbiology, University of Greifswald, Friedrich-Ludwig-Jahn-Straße 15, 17489 Greifswald, Germany.
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Correnstraße 3, 06466, Gatersleben, Germany.
| | - Michael Zimmermann
- Institute of Soil Research, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences Vienna (BOKU), Peter Jordan-Straße 82, 1190 Vienna, Austria.
- Swiss Federal Office for Agriculture, Mattenhofstrasse 5, 3007 Bern, Switzerland.
| | - Stephan Fuchs
- Institute of Microbiology, University of Greifswald, Friedrich-Ludwig-Jahn-Straße 15, 17489 Greifswald, Germany.
| | - Christian Lassek
- Institute of Microbiology, University of Greifswald, Friedrich-Ludwig-Jahn-Straße 15, 17489 Greifswald, Germany.
| | - Katharina Riedel
- Institute of Microbiology, University of Greifswald, Friedrich-Ludwig-Jahn-Straße 15, 17489 Greifswald, Germany.
| | - Sophie Zechmeister-Boltenstern
- Institute of Soil Research, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences Vienna (BOKU), Peter Jordan-Straße 82, 1190 Vienna, Austria.
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6
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Using proteins to study how microbes contribute to soil ecosystem services: The current state and future perspectives of soil metaproteomics. J Proteomics 2019; 198:50-58. [DOI: 10.1016/j.jprot.2018.11.011] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Revised: 11/08/2018] [Accepted: 11/12/2018] [Indexed: 02/07/2023]
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7
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Baldrian P. The known and the unknown in soil microbial ecology. FEMS Microbiol Ecol 2019; 95:5281230. [DOI: 10.1093/femsec/fiz005] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Accepted: 01/08/2019] [Indexed: 12/22/2022] Open
Affiliation(s)
- Petr Baldrian
- Laboratory of Environmental Microbiology, Institute of Microbiology of the CAS, Vídeňská 1083, 14220 Praha 4, Czech Republic
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8
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Jia X, Xi B, Li M, Liu D, Hou J, Hao Y, Meng F. Metaproteomic analysis of the relationship between microbial community phylogeny, function and metabolic activity during biohydrogen-methane coproduction under short-term hydrothermal pretreatment from food waste. BIORESOURCE TECHNOLOGY 2017; 245:1030-1039. [PMID: 28946205 DOI: 10.1016/j.biortech.2017.08.180] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Revised: 08/25/2017] [Accepted: 08/29/2017] [Indexed: 06/07/2023]
Abstract
Short-term hydrothermal pretreatment (SHP) is an attractive method for food waste anaerobic digestion, which facilitates the solubilisation of recalcitrant particles. This study employed metaproteomic method to evaluate the relationships among microbial community phylogeny, function, and metabolic activity during two-stage anaerobic digestion under SHP (SHPT) from food waste. The presence of 651 bacterial proteins and 477 archaeal protein has been detected by liquid chromatography online linked to mass spectrometry, revealing a high metabolic heterogeneity during SHPT. The different stages of SHPT highlighted important roles for the bacterial proteins from Gammaproteobacteria, Bacilli, and Clostridia and the archaeal proteins from Methanosarcinales. The identified proteins related to biohydrogen production come from pyruvic acid decarboxylase and formic acid decomposition pathway in carbohydrate metabolism and methanogenesis from acetate, CO2 and a methylotrophic pathway during energy metabolism. This could provide functional evidence of the metabolic activities and biogas production during SHPT.
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Affiliation(s)
- Xuan Jia
- Key Laboratory of Cleaner Production and Integrated Resource Utilization of China National Light Industry, Beijing Technology and Business University, Beijing 100048, China
| | - Beidou Xi
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Mingxiao Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Dongming Liu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jiaqi Hou
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yan Hao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Fanhua Meng
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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Starke R, Bastida F, Abadía J, García C, Nicolás E, Jehmlich N. Ecological and functional adaptations to water management in a semiarid agroecosystem: a soil metaproteomics approach. Sci Rep 2017; 7:10221. [PMID: 28860535 PMCID: PMC5579227 DOI: 10.1038/s41598-017-09973-w] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Accepted: 08/02/2017] [Indexed: 01/14/2023] Open
Abstract
Climate change models point to a decrease in water availability in semiarid areas that would compromise the maintenance of sustainable agriculture. Here, we used a grapefruit agroecosystem model to evaluate the responses of the active soil microbial community – as a microbial subset directly involved in soil functionality- undergoing strategies to cope with the low water availability in south-east Spain. For this purpose, we tested the impacts of: (i) water quality: transfer-water from a river (TW) or reclaimed-water from a wastewater-treatment plant (RW); and (ii) water quantity: continuous optimal amount of water or reduced irrigation (RDI) in the temporal frame when the crop is less sensitive; and their interactions. Metaproteomics revealed that the phylogenetic diversity of the active community and its functional diversity were lowered in soils with RW. RDI lowered soil respiration and functional diversity while the phylogenetic diversity remained constant. The reestablishment of full irrigation after RDI led to a recovery of soil respiration that was accompanied by an enhanced abundance of resilient bacterial populations. Bacterial populations displayed molecular mechanisms against water stress that have been conserved evolutionarily in plants. Protein-based studies shed light on ecological and functional mechanisms that govern the adaptive responses of soil microbial communities to climate-change friendly water management.
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Affiliation(s)
- Robert Starke
- Helmholtz-Centre for Environmental Research - UFZ, Department of Molecular Systems Biology, Permoserstrasse 15, 04318, Leipzig, Germany
| | - Felipe Bastida
- Centro de Edafología y Biología Aplicada del Segura. Spanish Research Council (CEBAS-CSIC). Campus Universitario de Espinardo, CP 30100 PO Box 164, Murcia, Spain.
| | - Joaquín Abadía
- Centro de Edafología y Biología Aplicada del Segura. Spanish Research Council (CEBAS-CSIC). Campus Universitario de Espinardo, CP 30100 PO Box 164, Murcia, Spain
| | - Carlos García
- Centro de Edafología y Biología Aplicada del Segura. Spanish Research Council (CEBAS-CSIC). Campus Universitario de Espinardo, CP 30100 PO Box 164, Murcia, Spain
| | - Emilio Nicolás
- Centro de Edafología y Biología Aplicada del Segura. Spanish Research Council (CEBAS-CSIC). Campus Universitario de Espinardo, CP 30100 PO Box 164, Murcia, Spain
| | - Nico Jehmlich
- Helmholtz-Centre for Environmental Research - UFZ, Department of Molecular Systems Biology, Permoserstrasse 15, 04318, Leipzig, Germany
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Jia X, Xi BD, Li MX, Yang Y, Wang Y. Metaproteomics analysis of the functional insights into microbial communities of combined hydrogen and methane production by anaerobic fermentation from reed straw. PLoS One 2017; 12:e0183158. [PMID: 28817657 PMCID: PMC5560556 DOI: 10.1371/journal.pone.0183158] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Accepted: 07/31/2017] [Indexed: 12/13/2022] Open
Abstract
A metaproteomic approach was used to analyse the proteins expressed and provide functional evidence of key metabolic pathways in the combined production of hydrogen and methane by anaerobic fermentation (CHMP-AF) for reed straw utilisation. The functions and structures of bacteria and archaea populations show significant succession in the CHMP-AF process. There are many kinds of bacterial functional proteins, mainly belonging to phyla Firmicutes, Proteobacteria, Actinobacteria and Bacteroidetes, that are involved in carbohydrate metabolism, energy metabolism, lipid metabolism, and amino acid metabolism. Ferredoxin-NADP reductase, present in bacteria in genus Azotobacter, is an important enzyme for NADH/NAD+ equilibrium regulation in hydrogen production. The archaeal functional proteins are mainly involved in methane metabolism in energy metabolism, such as acetyl-CoA decarboxylase, and methyl-coenzyme M reductase, and the acetic acid pathway exhibited the highest proportion of the total. The archaea of genus Methanosarcina in phylum Euryarchaeota can produce methane under the effect of multi-functional proteins through acetic acid, CO2 reduction, and methyl nutrient pathways. The study demonstrates metaproteomics as a new way of uncovering community functional and metabolic activity. The combined information was used to identify the metabolic pathways and organisms crucial for lignocellulosic biomass degradation and biogas production. This also regulates the process from its protein levels and improves the efficiency of biogas production using reed straw biomass.
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Affiliation(s)
- Xuan Jia
- Key Laboratory of Cleaner Production and Integrated Resource Utilization of China National Light Industry, Beijing Technology and Business University, Beijing, China
| | - Bei-Dou Xi
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Ming-Xiao Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
- * E-mail:
| | - Yang Yang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Yong Wang
- Key Laboratory of Cleaner Production and Integrated Resource Utilization of China National Light Industry, Beijing Technology and Business University, Beijing, China
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11
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Starke R, Müller M, Gaspar M, Marz M, Küsel K, Totsche KU, von Bergen M, Jehmlich N. Candidate Brocadiales dominates C, N and S cycling in anoxic groundwater of a pristine limestone-fracture aquifer. J Proteomics 2017; 152:153-160. [DOI: 10.1016/j.jprot.2016.11.003] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 10/28/2016] [Accepted: 11/07/2016] [Indexed: 10/20/2022]
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