Evidence map›Paper›PMID 38499675›Full record

ArticleScientific reports2024

A comparison of two gene regions for assessing community composition of eukaryotic marine microalgae from coastal ecosystems.

Jacqui Stuart, Ken G Ryan, John K Pearman, Jacob Thomson-Laing, Hannah G Hampton, Kirsty F Smith

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

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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 2 institutions in 1 country.

Jacqui StuartSchool of Biological Sciences, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand. jacqui.stuart@cawthron.org.nz.
Ken G RyanSchool of Biological Sciences, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand.
John K PearmanCawthron Institute, Private Bag 2, Nelson, 7042, New Zealand.
Jacob Thomson-LaingCawthron Institute, Private Bag 2, Nelson, 7042, New Zealand.
Hannah G HamptonCawthron Institute, Private Bag 2, Nelson, 7042, New Zealand.
Kirsty F SmithCawthron Institute, Private Bag 2, Nelson, 7042, New Zealand.
Cawthron Institute · NZVictoria University of Wellington · NZ

Funding

Ministry of Business, Innovation and Employment CAWX180Victoria University of Wellington 400086
6 · The paper itself

Abstract

Two gene regions commonly used to characterise the diversity of eukaryotic communities using metabarcoding are the 18S ribosomal DNA V4 and V9 gene regions. We assessed the effectiveness of these two regions for characterising diverisity of coastal eukaryotic microalgae communities (EMCs) from tropical and temperate sites. We binned amplicon sequence variants (ASVs) into the high level taxonomic groups: dinoflagellates, pennate diatoms, radial centric diatoms, polar centric diatoms, chlorophytes, haptophytes and 'other microalgae'. When V4 and V9 generated ASV abundances were compared, the V9 region generated a higher number of raw reads, captured more diversity from all high level taxonomic groups and was more closely aligned with the community composition determined using light microscopy. The V4 region did resolve more ASVs to a deeper taxonomic resolution within the dinoflagellates, but did not effectively resolve other major taxonomic divisions. When characterising these communities via metabarcoding, the use of multiple gene regions is recommended, but the V9 gene region can be used in isolation to provide high-level community biodiversity to reflect relative abundances within groups. This approach reduces the cost of sequencing multiple gene regions whilst still providing important baseline ecosystem function information.

Indexed as

DiatomsDinoflagellidaMicroalgaeBiodiversityDNA, RibosomalEcosystemPhylogenyRNA, Ribosomal, 18SDNA, RibosomalRNA, Ribosomal, 18S

Identifiers

PMID38499675
PMCPMC10948787
OpenAlexW4392916717

What OpenQuestion holds

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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.