Evidence map›Paper›PMID 36987638›Full record

ArticleProceedings. Biological sciences2023

High taxonomic diversity and miniaturization in benthic communities under persistent natural CO

Sara González-Delgado, Owen S Wangensteen, Carlos Sangil, Celso A Hernández, Beatriz Alfonso, Ana Z Soto, Rocío Pérez-Portela, Stefano Mariani, José Carlos Hernández

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Sara González-DelgadoDepartamento de Biología Animal, Edafología y Geología, Universidad de La Laguna, Canary Islands, Spain.ORCID 0000-0001-8715-7411
Owen S WangensteenDepartment of Evolutionary Biology, Ecology and Environmental Sciences & Institut de Recerca de la Biodiversitat, University of Barcelona, Barcelona, Spain.
Carlos SangilDepartamento de Biología Animal, Edafología y Geología, Universidad de La Laguna, Canary Islands, Spain.
Celso A HernándezDepartamento de Biología Animal, Edafología y Geología, Universidad de La Laguna, Canary Islands, Spain.
Beatriz AlfonsoDepartamento de Biología Animal, Edafología y Geología, Universidad de La Laguna, Canary Islands, Spain.
Ana Z SotoApis Assay Technologies Ltd, Manchester M13 9NQ, UK.
Rocío Pérez-PortelaDepartment of Evolutionary Biology, Ecology and Environmental Sciences & Institut de Recerca de la Biodiversitat, University of Barcelona, Barcelona, Spain.
Stefano MarianiSchool of Biological & Environmental Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK.
José Carlos HernándezDepartamento de Biología Animal, Edafología y Geología, Universidad de La Laguna, Canary Islands, Spain.ORCID 0000-0002-1539-1783

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabarcoding techniques have revolutionized ecological research in recent years, facilitating the differentiation of cryptic species and revealing previously hidden diversity. In the current scenario of climate change and ocean acidification, biodiversity loss is one of the main threats to marine ecosystems. Here, we explored the effects of ocean acidification on marine benthic communities using DNA metabarcoding to assess the diversity of algae and metazoans. Specifically, we examined the natural pH gradient generated by the Fuencaliente CO

Indexed as

EcosystemSeawaterBiodiversityCarbon DioxideDNA Barcoding, TaxonomicHydrogen-Ion ConcentrationOceans and SeasCarbon DioxidebiodiversityCO2 ventmetabarcodingocean acidification

Identifiers

PMID36987638
PMCPMC10050917

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.