Evidence map›Paper›PMID 37217477›Full record

ArticleNature communications2023

Stony coral tissue loss disease induces transcriptional signatures of in situ degradation of dysfunctional Symbiodiniaceae.

Kelsey M Beavers, Emily W Van Buren, Ashley M Rossin, Madison A Emery, Alex J Veglia, Carly E Karrick, Nicholas J MacKnight, Bradford A Dimos, Sonora S Meiling, Tyler B Smith and 6 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
15.1field-weighted citation impact, top 1% of its field
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

25 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Novel metagenomics analysis of stony coral tissue loss disease.bioRxiv : the preprint server for biology · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. 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

16 authors at 6 institutions in 2 countries.

Kelsey M BeaversBiology Department, University of Texas at Arlington, Arlington, TX, USA.ORCID 0000-0003-3366-0366
Emily W Van BurenBiology Department, University of Texas at Arlington, Arlington, TX, USA.
Ashley M RossinDepartment of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA, USA.
Madison A EmeryBiology Department, University of Texas at Arlington, Arlington, TX, USA.
Alex J VegliaDepartment of BioSciences, Rice University, Houston, TX, USA.ORCID 0000-0003-3118-5127
Carly E KarrickDepartment of BioSciences, Rice University, Houston, TX, USA.ORCID 0000-0002-0408-0576
Nicholas J MacKnightBiology Department, University of Texas at Arlington, Arlington, TX, USA.ORCID 0000-0003-2244-9266
Bradford A DimosBiology Department, University of Texas at Arlington, Arlington, TX, USA.
Sonora S MeilingCenter for Marine and Environmental Studies, University of the Virgin Islands, St. Thomas, USVI, USA.
Tyler B SmithCenter for Marine and Environmental Studies, University of the Virgin Islands, St. Thomas, USVI, USA.ORCID 0000-0002-5256-6087
Amy ApprillMarine Chemistry and Geochemistry Department, Woods Hole Oceanographic Institution, Woods Hole, MA, USA.ORCID 0000-0002-4249-2977
Erinn M MullerMote Marine Laboratory, Sarasota, FL, USA.ORCID 0000-0002-2695-2064
Daniel M HolsteinDepartment of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA, USA.ORCID 0000-0002-9933-833X
Adrienne M S CorreaDepartment of BioSciences, Rice University, Houston, TX, USA.ORCID 0000-0003-0137-5042
Marilyn E BrandtCenter for Marine and Environmental Studies, University of the Virgin Islands, St. Thomas, USVI, USA.ORCID 0000-0001-8639-7851
Laura D MydlarzBiology Department, University of Texas at Arlington, Arlington, TX, USA. mydlarz@uta.edu.
The University of Texas at Arlington · USRice University · USUniversity of the Virgin Islands · VILouisiana State University · USMote Marine Laboratory · USWoods Hole Oceanographic Institution · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stony coral tissue loss disease (SCTLD), one of the most pervasive and virulent coral diseases on record, affects over 22 species of reef-building coral and is decimating reefs throughout the Caribbean. To understand how different coral species and their algal symbionts (family Symbiodiniaceae) respond to this disease, we examine the gene expression profiles of colonies of five species of coral from a SCTLD transmission experiment. The included species vary in their purported susceptibilities to SCTLD, and we use this to inform gene expression analyses of both the coral animal and their Symbiodiniaceae. We identify orthologous coral genes exhibiting lineage-specific differences in expression that correlate to disease susceptibility, as well as genes that are differentially expressed in all coral species in response to SCTLD infection. We find that SCTLD infection induces increased expression of rab7, an established marker of in situ degradation of dysfunctional Symbiodiniaceae, in all coral species accompanied by genus-level shifts in Symbiodiniaceae photosystem and metabolism gene expression. Overall, our results indicate that SCTLD infection induces symbiophagy across coral species and that the severity of disease is influenced by Symbiodiniaceae identity.

Indexed as

AnthozoaDinoflagellidaAnimalsCoral ReefsGene Expression ProfilingSymbiosisTranscriptome

Identifiers

PMID37217477
PMCPMC10202950
OpenAlexW4377291378

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.