Literature DB >> 35701635

Spatial and Seasonal Variations in the Bacterial Community of an Anthropogenic Impacted Urban Stream.

Federico A Vignale1, Daissy Bernal Rey1,2, Agustín M Pardo1,3, Facundo J Almasqué1, José G Ibarra1, Darío Fernández Do Porto3,4, Adrián G Turjanski1,4, Nancy I López1,4, Renata J Menéndez Helman1, Laura J Raiger Iustman5,6.   

Abstract

Environmental changes and human activities can alter the structure and diversity of aquatic microbial communities. In this work, we analyzed the bacterial community dynamics of an urban stream to understand how these factors affect the composition of river microbial communities. Samples were taken from a stream situated in Buenos Aires, Argentina, which flows through residential, peri-urban horticultural, and industrial areas. For sampling, two stations were selected: one influenced by a series of industrial waste treatment plants and horticultural farms (PL), and the other influenced by residential areas (R). Microbial communities were analyzed by sequence analysis of 16S rRNA gene amplicons along an annual cycle. PL samples showed high nutrient content compared with R samples. The diversity and richness of the R site were more affected by seasonality than those of the PL site. At the amplicon sequence variants level, beta diversity analysis showed a differentiation between cool-season (fall and winter) and warm-season (spring and summer) samples, as well as between PL and R sites. This demonstrated that there is spatial and temporal heterogeneity in the composition of the bacterial community, which should be considered if a bioremediation strategy is applied. The taxonomic composition analysis also revealed a differential seasonal cycle of phototrophs and chemoheterotrophs between the sampling sites, as well as different taxa associated with each sampling site. This analysis, combined with a comparative analysis of global rivers, allowed us to determine the genera Arcobacter, Simplicispira, Vogesella, and Sphingomonas as potential bioindicators of anthropogenic disturbance.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  16S rRNA amplicon sequencing; Aquatic microbial communities; Freshwater environments; Land runoff; Water pollution

Year:  2022        PMID: 35701635     DOI: 10.1007/s00248-022-02055-z

Source DB:  PubMed          Journal:  Microb Ecol        ISSN: 0095-3628            Impact factor:   4.552


  23 in total

1.  Indigenous heavy metal multiresistant microbiota of Las Catonas stream.

Authors:  Diana L Vullo; Helena M Ceretti; Enrique A Hughes; Silvana Ramírez; Anita Zalts
Journal:  Environ Monit Assess       Date:  2005-06       Impact factor: 2.513

2.  Effect of wastewater treatment plant effluent on microbial function and community structure in the sediment of a freshwater stream with variable seasonal flow.

Authors:  Steven A Wakelin; Matt J Colloff; Rai S Kookana
Journal:  Appl Environ Microbiol       Date:  2008-03-14       Impact factor: 4.792

3.  Impact of pollution on the microbial diversity of a tropical river in an urbanized region of northeastern Brazil.

Authors:  Thorsten Köchling; José Luis Sanz; Luiz Galdino; Lourdinha Florencio; Mario T Kato
Journal:  Int Microbiol       Date:  2017-03       Impact factor: 2.479

Review 4.  Application of biodegradation in mitigating and remediating pesticide contamination of freshwater resources: state of the art and challenges for optimization.

Authors:  Johanna Vandermaesen; Benjamin Horemans; Karolien Bers; Pieter Vandermeeren; Steffi Herrmann; Aswini Sekhar; Piet Seuntjens; Dirk Springael
Journal:  Appl Microbiol Biotechnol       Date:  2016-07-30       Impact factor: 4.813

5.  Use of Lithobates catesbeianus tadpoles in a multiple biomarker approach for the assessment of water quality of the Reconquista River (Argentina).

Authors:  N A Ossana; P M Castañé; A Salibián
Journal:  Arch Environ Contam Toxicol       Date:  2013-06-07       Impact factor: 2.804

6.  Use of integrated biomarker indexes for assessing the impact of receiving waters on a native neotropical teleost fish.

Authors:  Federico G Baudou; Natalia A Ossana; Patricia M Castañé; Martina M Mastrángelo; Ayelen A González Núñez; Mauro J Palacio; Lucrecia Ferrari
Journal:  Sci Total Environ       Date:  2018-09-27       Impact factor: 7.963

7.  DADA2: High-resolution sample inference from Illumina amplicon data.

Authors:  Benjamin J Callahan; Paul J McMurdie; Michael J Rosen; Andrew W Han; Amy Jo A Johnson; Susan P Holmes
Journal:  Nat Methods       Date:  2016-05-23       Impact factor: 28.547

8.  UpSetR: an R package for the visualization of intersecting sets and their properties.

Authors:  Jake R Conway; Alexander Lex; Nils Gehlenborg
Journal:  Bioinformatics       Date:  2017-09-15       Impact factor: 6.937

9.  The impact of urbanisation on community structure, gene abundance and transcription rates of microbes in upland swamps of Eastern Australia.

Authors:  Nicole A Christiansen; Kirstie A Fryirs; Timothy J Green; Grant C Hose
Journal:  PLoS One       Date:  2019-03-04       Impact factor: 3.240

10.  Freshwater Sediment Microbial Communities Are Not Resilient to Disturbance From Agricultural Land Runoff.

Authors:  Rachelle E Beattie; Aditya Bandla; Sanjay Swarup; Krassimira R Hristova
Journal:  Front Microbiol       Date:  2020-10-15       Impact factor: 5.640

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