Evidence map›Paper›PMID 28510761›Full record

ArticleJournal of experimental botany2017

The diversity of CO2-concentrating mechanisms in marine diatoms as inferred from their genetic content.

Chen Shen, Christopher L Dupont, Brian M Hopkinson

Abstract read
In one paragraph

Article in Journal of experimental botany, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Characterization of a COMarine biotechnology (New York, N.Y.) · 2021
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. 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

3 authors.

Chen ShenQingdao Institute of BioEnergy and BioProcess Technology, Chinese Academy of Sciences, Qingdao, China.
Christopher L DupontJ. Craig Venter Institute, La Jolla, CA, USA.
Brian M HopkinsonDepartment of Marine Sciences, University of Georgia, Athens, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine diatoms are one of the most ecologically significant primary producers in the ocean. Most diatoms use a CO2-concentrating mechanism (CCM) to overcome the scarcity of CO2 in the ocean and limitations of the carbon-fixing enzyme Rubisco. However, the CCMs in model diatoms differ substantially in their genetic make-up and structural organization. To assess the extent of CCM diversity in marine diatoms more generally, we analyzed genome and transcriptome data from 31 diatom strains to identify putative CCM genes, examine the overall CCM architecture, and study CCM development in the context of the evolutionary history of these diatoms. Key CCM genes [carbonic anhydrases (CAs) and solute carrier 4 (SLC4) bicarbonate transporters] identified in the diatoms were placed into groups of likely orthologs by sequence similarity (OrthoMCL) and phylogenetic methods. These analyses indicated that diatoms seem to share similar HCO3- transporters, but possess a variety of CAs that have either undergone extensive diversification within the diatom lineage or have been acquired through horizontal gene transfer. Hierarchical clustering of the diatom species based on their CCM gene content suggests that CCM development is largely congruent with evolution of diatom species, despite some notable differences in CCM genes even among closely related species.

Indexed as

GenomeTranscriptomeAlgal ProteinsCarbon DioxideDiatomsEnvironmentPhylogenyPhytoplanktonSeawaterSequence Analysis, DNAAlgal ProteinsCarbon DioxideCarbon dioxidecarbonic anhydrasediatommarinephotosynthesistransporters

Identifiers

PMID28510761
PMCPMC5853954

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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.