Evidence map›Paper›PMID 37291271›Full record

ArticleScientific data2023

Genome-resolved carbon processing potential of tropical peat microbiomes from an oil palm plantation.

Aditya Bandla, Sourav Mukhopadhyay, Shailendra Mishra, Ashwin Sridhar Sudarshan, Sanjay Swarup

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2023. 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
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Aditya BandlaNUS Environmental Research Institute, National University of Singapore, Singapore, Singapore. abandla@nus.edu.sg.ORCID 0000-0002-3487-8052
Sourav MukhopadhyayDepartment of Biological Sciences, National University of Singapore, Singapore, Singapore.ORCID 0009-0002-1819-9559
Shailendra MishraNUS Environmental Research Institute, National University of Singapore, Singapore, Singapore.
Ashwin Sridhar SudarshanNUS Environmental Research Institute, National University of Singapore, Singapore, Singapore.
Sanjay SwarupNUS Environmental Research Institute, National University of Singapore, Singapore, Singapore.ORCID 0000-0001-6391-0624
National University of Singapore · SG

Funding

Economic Development Board - Singapore (EDB) COY-15-EWI-RCFSA/N197-1National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore) COY-15-EWI-RCFSA/N197-1
6 · The paper itself

Abstract

Tropical peatlands in South-East Asia are some of the most carbon-dense ecosystems in the world. Extensive repurposing of such peatlands for forestry and agriculture has resulted in substantial microbially-driven carbon emissions. However, we lack an understanding of the microorganisms and their metabolic pathways involved in carbon turnover. Here, we address this gap by reconstructing 764 sub-species-level genomes from peat microbiomes sampled from an oil palm plantation located on a peatland in Indonesia. The 764 genomes cluster into 333 microbial species (245 bacterial and 88 archaeal), of which, 47 are near-complete (completeness ≥90%, redundancy ≤5%, number of unique tRNAs ≥18) and 170 are substantially complete (completeness ≥70%, redundancy ≤10%). The capacity to respire amino acids, fatty acids, and polysaccharides was widespread in both bacterial and archaeal genomes. In contrast, the ability to sequester carbon was detected only in a few bacterial genomes. We expect our collection of reference genomes to help fill some of the existing knowledge gaps about microbial diversity and carbon metabolism in tropical peatlands.

Indexed as

CarbonEcosystemSoilAgricultureIndonesiaMicrobiotaCarbonSoil

Identifiers

PMID37291271
PMCPMC10250450
OpenAlexW4379966591

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.