Evidence map›Paper›PMID 34757817›Full record

ArticleApplied and environmental microbiology2022

Resolving the Microalgal Gene Landscape at the Strain Level: a Novel Hybrid Transcriptome of

Martin Sperfeld, Dayana Yahalomi, Einat Segev

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 12 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

3 authors at 1 institution in 1 country.

Martin SperfeldDepartment of Plant and Environmental Sciences, Weizmann Institute of Sciencegrid.13992.30, Rehovot, Israel.ORCID 0000-0001-8707-7761
Dayana YahalomiNancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Sciencegrid.13992.30, Rehovot, Israel.
Einat SegevDepartment of Plant and Environmental Sciences, Weizmann Institute of Sciencegrid.13992.30, Rehovot, Israel.ORCID 0000-0002-2266-1219
Weizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microalgae are key ecological players with a complex evolutionary history. Genomic diversity, in addition to limited availability of high-quality genomes, challenge studies that aim to elucidate molecular mechanisms underlying microalgal ecophysiology. Here, we present a novel and comprehensive transcriptomic hybrid approach to generate a reference for genetic analyses and resolve the microalgal gene landscape at the strain level. The approach is demonstrated for a strain of the coccolithophore microalga

Indexed as

HaptophytaGenomicsMolecular Sequence AnnotationOceans and SeasTranscriptomedifferential gene expressionEmiliania huxleyi (coccolithophorefull-length cDNAgenome variabilityhaptophyte)hybrid transcriptome assemblymicrobial interactionssulfur and DMSP metabolismwhole transcriptome

Identifiers

PMID34757817
PMCPMC8788742
OpenAlexW3213867521

What OpenQuestion holds

Textmetadata
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.