Literature DB >> 26111599

Evaluation of bacterial communities by bacteriome analysis targeting 16S rRNA genes and quantitative analysis of ammonia monooxygenase gene in different types of compost.

Rika Kitamura1, Kazuo Ishii2, Isamu Maeda3, Toshinori Kozaki2, Kazunori Iwabuchi4, Takahiro Saito5.   

Abstract

Biofiltration technology based on microbial degradation and assimilation is used for the removal of malodorous compounds, such as ammonia. Microbes that degrade malodorous and/or organic substances are involved in composting and are retained after composting; therefore, mature composts can serve as an ideal candidate for a biofilter medium. In this study, we focused on different types of raw compost materials, as these are important factors determining the bacterial community profile and the chemical component of the compost. Therefore, bacterial community profiles, the abundance of the bacterial ammonia monooxygenase gene (amoA), and the quantities of chemical components were analyzed in composts produced from either food waste or cattle manure. The community profiles with the lowest beta diversity were obtained from single type of cattle manure compost. However, cattle manure composts showed greater alpha diversity, contained higher amounts of various rRNA gene fragments than those of food waste composts and contained the amoA gene by relative quantification, and Proteobacteria were abundantly found and nitrifying bacteria were detected in it. Nitrifying bacteria are responsible for ammonia oxidation and mainly belong to the Proteobacteria or Nitrospira phyla. The quantities of chemical components, such as salt, phosphorus, and nitrogen, differed between the cattle manure and food waste composts, indicating that the raw materials provided different fermentation environments that were crucial for the formation of different community profiles. The results also suggest that cattle manure might be a more suitable raw material for the production of composts to be used in the biofiltration of ammonia.
Copyright © 2015 The Society for Biotechnology, Japan. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  16S rRNA; Bacteriome; Biofilter medium; Mature compost; Nitrifying bacteria

Mesh:

Substances:

Year:  2015        PMID: 26111599     DOI: 10.1016/j.jbiosc.2015.05.005

Source DB:  PubMed          Journal:  J Biosci Bioeng        ISSN: 1347-4421            Impact factor:   2.894


  5 in total

1.  Development of a cost-effective metabarcoding strategy for analysis of the marine phytoplankton community.

Authors:  Tae-Ho Yoon; Hye-Eun Kang; Chang-Keun Kang; Sang Heon Lee; Do-Hwan Ahn; Hyun Park; Hyun-Woo Kim
Journal:  PeerJ       Date:  2016-06-15       Impact factor: 2.984

2.  Utilizing Cattle Manure Compost Increases Ammonia Monooxygenase A Gene Expression and Ammonia-oxidizing Activity of Both Bacteria and Archaea in Biofiltration Media for Ammonia Deodorization.

Authors:  Rika Kitamura; Toshinori Kozaki; Kazuo Ishii; Masayuki Iigo; Takeshi Kurokura; Kenji Yamane; Isamu Maeda; Kazunori Iwabuchi; Takahiro Saito
Journal:  Microbes Environ       Date:  2021       Impact factor: 2.912

3.  Chemical and microbial characterization of sugarcane mill mud for soil applications.

Authors:  Minori Uchimiya; Anthony G Hay; Jeffrey LeBlanc
Journal:  PLoS One       Date:  2022-08-16       Impact factor: 3.752

4.  Characterization of mycobacteria and mycobacteriophages isolated from compost at the São Paulo Zoo Park Foundation in Brazil and creation of the new mycobacteriophage Cluster U.

Authors:  James Daltro Lima-Junior; Cristina Viana-Niero; Daniel V Conde Oliveira; Gabriel Esquitini Machado; Michelle Cristiane da Silva Rabello; Joaquim Martins-Junior; Layla Farage Martins; Luciano Antonio Digiampietri; Aline Maria da Silva; João Carlos Setubal; Daniel A Russell; Deborah Jacobs-Sera; Welkin H Pope; Graham F Hatfull; Sylvia Cardoso Leão
Journal:  BMC Microbiol       Date:  2016-06-17       Impact factor: 3.605

5.  Metagenomic analysis of microbial community structure and function in a improved biofilter with odorous gases.

Authors:  Jianguo Ni; Huayun Yang; Liqing Chen; Jiadong Xu; Liangwei Zheng; Guojian Xie; Chenjia Shen; Weidong Li; Qi Liu
Journal:  Sci Rep       Date:  2022-02-02       Impact factor: 4.379

  5 in total

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