Evidence map›Paper›PMID 36363713›Full record

ArticleMicroorganisms2022

Pathways for Understanding Blue Carbon Microbiomes with Amplicon Sequencing.

Valentina Hurtado-McCormick, Stacey M Trevathan-Tackett, Jennifer L Bowen, Rod M Connolly, Carlos M Duarte, Peter I Macreadie

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

6 authors at 4 institutions in 3 countries.

Valentina Hurtado-McCormickCentre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, 221 Burwood Hwy, Burwood, VIC 3125, Australia.ORCID 0000-0001-9407-5924
Stacey M Trevathan-TackettCentre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, 221 Burwood Hwy, Burwood, VIC 3125, Australia.ORCID 0000-0002-4977-0757
Jennifer L BowenMarine Science Center, Northeastern University, 430 Nahant Road, Nahant, MA 01908, USA.
Rod M ConnollyCoastal and Marine Research Centre, Australian Rivers Institute, School of Environment and Science, Griffith University, Gold Coast, QLD 42222, Australia.ORCID 0000-0001-6223-1291
Carlos M DuarteRed Sea Research Center (RSRC) and Computational Bioscience Research Center (CBRC), 4700 King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia.
Peter I MacreadieCentre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, 221 Burwood Hwy, Burwood, VIC 3125, Australia.ORCID 0000-0001-7362-0882
Deakin University · AUGriffith University · AUKing Abdullah University of Science and Technology · SANortheastern University · US

Funding

Australian Research Council DE210101029Australian Research Council DP200100575National Science Foundation DEB2203322
6 · The paper itself

Abstract

The capacity of Blue Carbon Ecosystems to act as carbon sinks is strongly influenced by the metabolism of soil-associated microbes, which ultimately determine how much carbon is accumulated or returned to the atmosphere. The rapid evolution of sequencing technologies has facilitated the generation of tremendous amounts of data on what taxa comprise belowground microbial assemblages, largely available as isolated datasets, offering an opportunity for synthesis research that informs progress on understanding Blue Carbon microbiomes. We identified questions that can be addressed with a synthesis approach, including the high variability across datasets, space, and time due to differing sampling techniques, ecosystem or vegetation specificity, and the relationship between microbiome community and edaphic properties, particularly soil carbon. To address these questions, we collated 34 16S rRNA amplicon sequencing datasets, including bulk soil or rhizosphere from seagrass, mangroves, and saltmarshes within publicly available repositories. We identified technical and theoretical challenges that precluded a synthesis of multiple studies with currently available data, and opportunities for addressing the knowledge gaps within Blue Carbon microbial ecology going forward. Here, we provide a standardisation toolbox that supports enacting tasks for the acquisition, management, and integration of Blue Carbon-associated sequencing data and metadata to potentially elucidate novel mechanisms behind Blue Carbon dynamics.

Indexed as

16S rRNABlue Carboncoastal ecosystemsmangrovesmicrobiomenutrient cyclingrhizospheresaltmarshesseagrasssoilsynthesis

Identifiers

PMID36363713
PMCPMC9694552
OpenAlexW4308720005

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.