Evidence map›Paper›PMID 28594872›Full record

ArticlePloS one2017

Unraveling the environmental and anthropogenic drivers of bacterial community changes in the Estuary of Bilbao and its tributaries.

Mikel Aguirre, David Abad, Aitor Albaina, Lauren Cralle, María Soledad Goñi-Urriza, Andone Estonba, Iratxe Zarraonaindia

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. ExploringAntibiotics (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Bacterial diversity in the aquatic system in India based on metagenome analysis-a critical review.Environmental science and pollution research international · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Diversity, Dynamics, and Distribution ofApplied and environmental microbiology · 2019
    Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mikel AguirreDepartment of Genetics, Physical Anthropology & Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leio, Spain.ORCID http://orcid.org/0000-0001-5823-2777
David AbadDepartment of Genetics, Physical Anthropology & Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leio, Spain.
Aitor AlbainaDepartment of Genetics, Physical Anthropology & Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leio, Spain.
Lauren CralleDepartment of Surgery, University of Chicago, 5841 S. Maryland Ave., Chicago, IL, United States of America.
María Soledad Goñi-UrrizaEquipe Microbiologie et Environnement, IPREM, UMR CNRS 5254, Bâtiment IBEAS, Université de Pau et des Pays de l'Adour, BP1155, Pau, France.
Andone EstonbaDepartment of Genetics, Physical Anthropology & Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leio, Spain.
Iratxe ZarraonaindiaDepartment of Genetics, Physical Anthropology & Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leio, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, 16S rRNA gene sequencing was used to characterize the changes in taxonomic composition and environmental factors significantly influencing bacterial community structure across an annual cycle in the Estuary of Bilbao as well as its tributaries. In spite of this estuary being small and characterized by a short residence time, the environmental factors most highly correlated with the bacterial community mirrored those reported to govern larger estuaries, specifically salinity and temperature. Additionally, bacterial community changes in the estuary appeared to vary with precipitation. For example, an increase in freshwater bacteria (Comamonadaceae and Sphingobacteriaceae) was observed in high precipitation periods compared to the predominately marine-like bacteria (Rhodobacterales and Oceanospirillales) that were found in low precipitation periods. Notably, we observed a significantly higher relative abundance of Comamonadaceae than previously described in other estuaries. Furthermore, anthropic factors could have an impact on this particular estuary's bacterial community structure. For example, ecosystem changes related to the channelization of the estuary likely induced a low dissolved oxygen (DO) concentration, high temperature, and high chlorophyll concentration period in the inner euhaline water in summer (samples with salinity >30 ppt). Those samples were characterized by a high abundance of facultative anaerobes. For instance, OTUs classified as Cryomorphaceae and Candidatus Aquiluna rubra were negatively associated with DO concentration, while Oleiphilaceae was positively associated with DO concentration. Additionally, microorganisms related to biological treatment of wastewater (e.g Bdellovibrio and Zoogloea) were detected in the samples immediately downstream of the Bilbao Wastewater Treatment Plant (WWTP). There are several human activities planned in the region surrounding the Estuary of Bilbao (e.g. sediment draining, architectural changes, etc.) which will likely affect this ecosystem. Therefore, the addition of bacterial community profiling and diversity analysis into the estuary's ongoing monitoring program would provide a more comprehensive view of the ecological status of the Estuary of Bilbao.

Indexed as

EcosystemEstuariesBacteriaEnvironmental MonitoringFresh WaterRNA, Ribosomal, 16SWater MicrobiologyRNA, Ribosomal, 16S

Identifiers

PMID28594872
PMCPMC5464593

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.