Evidence map›Paper›PMID 38626123›Full record

ArticlePloS one2024

Responses of the coral reef cryptobiome to environmental gradients in the Red Sea.

Rodrigo Villalobos, Eva Aylagas, Joanne I Ellis, John K Pearman, Holger Anlauf, Joao Curdia, Diego Lozano-Cortes, Alejandro Mejia, Florian Roth, Michael L Berumen and 1 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Rodrigo VillalobosKing Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, Saudi Arabia.
Eva AylagasThe Red Sea Development Company, AlRaidah Digital City, Saudi Arabia.
Joanne I EllisSchool of Biological Sciences, Waikato University, Tauranga, New Zealand.
John K PearmanCoastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand.ORCID 0000-0002-2237-9723
Holger AnlaufUniversity of Seychelles and Blue Economy Research Institute Anse Royal, Victoria, Mahe, Seychelles.
Joao CurdiaKing Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, Saudi Arabia.
Diego Lozano-CortesSaudi Aramco, Environmental Protection Department, Dhahran, Saudi Arabia.
Alejandro MejiaKing Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, Saudi Arabia.
Florian RothStockholm University, Baltic Sea Centre, Stockholm, Sweden.ORCID 0000-0003-4004-5863
Michael L BerumenKing Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, Saudi Arabia.
Susana CarvalhoKing Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, Saudi Arabia.ORCID 0000-0003-1300-1953

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An essential component of the coral reef animal diversity is the species hidden in crevices within the reef matrix, referred to as the cryptobiome. These organisms play an important role in nutrient cycling and provide an abundant food source for higher trophic levels, yet they have been largely overlooked. Here, we analyzed the distribution patterns of the mobile cryptobiome (>2000 μm) along the latitudinal gradient of the Saudi Arabian coast of the Red Sea. Analysis was conducted based on 54 Autonomous Reef Monitoring Structures. We retrieved a total of 5273 organisms, from which 2583 DNA sequences from the mitochondrially encoded cytochrome c oxidase I were generated through sanger sequencing. We found that the cryptobiome community is variable over short geographical distances within the basin. Regression tree models identified sea surface temperature (SST), percentage cover of hard coral and turf algae as determinant for the number of operational taxonomic units present per Autonomous Reef Monitoring Structures (ARMS). Our results also show that the community structure of the cryptobiome is associated with the energy available (measured as photosynthetic active radiation), sea surface temperature, and nearby reef habitat characteristics (namely hard corals, turf and macroalgae). Given that temperature and reef benthic characteristics affect the cryptobiome, current scenarios of intensive climate change are likely to modify this fundamental biological component of coral reef functioning. However, the trajectory of change is unknow and can be site specific, as for example, diversity is expected to increase above SST of 28.5°C, and with decreasing hard coral and turf cover. This study provides a baseline of the cryptobenthic community prior to major coastal developments in the Red Sea to be used for future biodiversity studies and monitoring projects. It can also contribute to better understand patterns of reef biodiversity in a period where Marine Protected Areas are being discussed in the region.

Indexed as

AnthozoaCoral ReefsAnimalsEcosystemIndian OceanSaudi Arabia

Identifiers

PMID38626123
PMCPMC11020721

What OpenQuestion holds

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LicenceCC BY
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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.