Evidence map›Paper›PMID 35620942›Full record

ArticleMolecular ecology resources2022

Development of transcriptomics-based growth rate indices in two model eukaryotes and relevance to metatranscriptomics datasets.

Wye-Lup Kong, Ryuji J Machida

Abstract read
In one paragraph

Article in Molecular ecology resources, 2022. 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
–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

3 citing papers in PubMed.

  1. Review
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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

2 authors.

Wye-Lup KongBiodiversity Program, Taiwan International Graduate Program, Academia Sinica and National Taiwan Normal University, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-4365-0105
Ryuji J MachidaBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.ORCID https://orcid.org/0000-0003-1687-4709

Funding

Academia Sinica, TaiwanMinistry of Science and Technology, Taiwan 108-2611-M-001Ministry of Science and Technology, Taiwan 109-2611-M-001Ministry of Science and Technology, Taiwan 110-2611-M-001Scientific Committee on Oceanic Research
6 · The paper itself

Abstract

Growth rate estimation is important to understand the flow of energy and nutrient elements in an ecosystem, but it has remained challenging, especially on microscopic organisms. In this study, we propose four growth rate indices that use mRNA abundance ratios between nuclear and mitochondrial genes: (1) total nuclear and mitochondrial mRNA ratio (Nuc:Mito-TmRNA); (2) nuclear and mitochondrial ribosomal protein mRNA ratio (Nuc:Mito-RPmRNA); (3) gene ontology (GO) terms and total mitochondrial mRNA ratios; and (4) nuclear and mitochondrial specific gene mRNA ratio. We examine these proposed ratios using RNA-Seq datasets of Daphnia magna, and Saccharomyces cerevisiae retrieved from the NCBI Short Read Archive. The results showed that both Nuc:Mito-TmRNA and Nuc:Mito-RPmRNA ratio indices showed significant correlations with the growth rate for both species. A large number of GO terms mRNA ratios showed significant correlations with the growth rate of S. cerevisiae. Lastly, we identified mRNA ratios of several specific nuclear and mitochondrial gene pairs that showed significant correlations. We foresee future implications for the proposed mRNA ratios used in metatranscriptome analyses to estimate the growth rate of communities and species.

Indexed as

Saccharomyces cerevisiaeTranscriptomeEcosystemGenes, MitochondrialRNA, MessengerRNA, Messengergrowth rate indicesmRNA ratioRNA-Seqtranscriptomics datasets

Identifiers

PMID35620942
PMCPMC9545445

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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.