Literature DB >> 32901430

Characteristics of microbial community of soil subjected to industrial production of antibiotics.

Martina Borčinová1,2, Anastasiya Pitkina3,4, Helena Marešová4, Václav Štěpánek4, Andrea Palyzová4, Pavel Kyslík4.   

Abstract

Ecosystems worldwide are exposed to pollutants connected to the industrial production of pharmaceuticals. The objective of this study was to study the composition and characteristics of the soil microbial communities that had been exposed to long-term selection pressure caused by the industrial production of penicillin G. Soil samples from four sites among the penicillin G production plant were analysed using 16S rRNA profiling via Illumina MiSeq platform and were compared with the control samples from four sites outside the plant. Total metagenomic DNA from the impacted soil was also used for the preparation of E. coli T1R-based fosmid library which was consequently qualitatively tested for the presence of penicillin G acylase (PGA)-encoding genes using the method of sequence homology. Analyses of alpha diversity revealed that the long-term antibiotic presence in the soil significantly increased the microbial diversity and richness in terms of Shannon diversity index (p = 0.002) and Chao estimates (p = 0.004). Principal component analysis showed that the two types of communities (on-site and control) could be separated at the phylum, class and genus level. The on-site soil was enriched in Betaproteobacteria, Deltaproteobacteria, Gemmatimonadetes, Acidobacteria and Planctomycetia, while a significant decrease in Actinobacteria was observed. Metagenomic fosmid library revealed high hit rates in identifying PGAs (14 different genes identified) and confirmed the biotechnological potential of soils impacted by anthropogenic activity. This study offers new insights into the changes in microbial communities of soils exposed to anthropogenic activity as well as indicates that those soils may represent a hotspot for biotechnologically interesting targets.

Entities:  

Keywords:  Antibiotic contamination; Fosmid library; Industrial production; Metagenome; Microbial consortia; Penicillin G acylase

Mesh:

Substances:

Year:  2020        PMID: 32901430     DOI: 10.1007/s12223-020-00819-z

Source DB:  PubMed          Journal:  Folia Microbiol (Praha)        ISSN: 0015-5632            Impact factor:   2.099


  37 in total

1.  Improving the diastereoselectivity of penicillin G acylase for ampicillin synthesis from racemic substrates.

Authors:  Andria L Deaguero; Janna K Blum; Andreas S Bommarius
Journal:  Protein Eng Des Sel       Date:  2012-01-22       Impact factor: 1.650

Review 2.  Expanding the soil antibiotic resistome: exploring environmental diversity.

Authors:  Vanessa M D'Costa; Emma Griffiths; Gerard D Wright
Journal:  Curr Opin Microbiol       Date:  2007-10-22       Impact factor: 7.934

3.  UPARSE: highly accurate OTU sequences from microbial amplicon reads.

Authors:  Robert C Edgar
Journal:  Nat Methods       Date:  2013-08-18       Impact factor: 28.547

4.  Heterogeneity in efflux pump expression predisposes antibiotic-resistant cells to mutation.

Authors:  Imane El Meouche; Mary J Dunlop
Journal:  Science       Date:  2018-11-09       Impact factor: 47.728

5.  Examining the global distribution of dominant archaeal populations in soil.

Authors:  Scott T Bates; Donna Berg-Lyons; J Gregory Caporaso; William A Walters; Rob Knight; Noah Fierer
Journal:  ISME J       Date:  2010-11-18       Impact factor: 10.302

6.  UCHIME improves sensitivity and speed of chimera detection.

Authors:  Robert C Edgar; Brian J Haas; Jose C Clemente; Christopher Quince; Rob Knight
Journal:  Bioinformatics       Date:  2011-06-23       Impact factor: 6.937

7.  METAGENassist: a comprehensive web server for comparative metagenomics.

Authors:  David Arndt; Jianguo Xia; Yifeng Liu; You Zhou; An Chi Guo; Joseph A Cruz; Igor Sinelnikov; Karen Budwill; Camilla L Nesbø; David S Wishart
Journal:  Nucleic Acids Res       Date:  2012-05-29       Impact factor: 16.971

8.  The Ribosomal Database Project (RDP-II): sequences and tools for high-throughput rRNA analysis.

Authors:  J R Cole; B Chai; R J Farris; Q Wang; S A Kulam; D M McGarrell; G M Garrity; J M Tiedje
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

9.  MicrobiomeAnalyst: a web-based tool for comprehensive statistical, visual and meta-analysis of microbiome data.

Authors:  Achal Dhariwal; Jasmine Chong; Salam Habib; Irah L King; Luis B Agellon; Jianguo Xia
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

Review 10.  Antibiotics in the Soil Environment-Degradation and Their Impact on Microbial Activity and Diversity.

Authors:  Mariusz Cycoń; Agnieszka Mrozik; Zofia Piotrowska-Seget
Journal:  Front Microbiol       Date:  2019-03-08       Impact factor: 5.640

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.