Evidence map›Paper›PMID 42328436›Full record

ReviewInternational journal of biological sciences2026

RNA variation as the driver of genomic efficiency and phenotypic complexity.

Zhihua Jiang, Michee van Rooyen, Jennifer J Michal, Isyana Khaerunnisa, Saiful Anwar, Xing Fu, Jinzeng Yang, Steve P Miller

Abstract readReview
In one paragraph

Review in International journal of biological sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Zhihua JiangDepartment of Animal Sciences, Washington State University, Pullman, WA, USA.
Michee van RooyenDepartment of Animal Sciences, Washington State University, Pullman, WA, USA.
Jennifer J MichalDepartment of Animal Sciences, Washington State University, Pullman, WA, USA.
Isyana KhaerunnisaResearch Center for Applied Zoology, Research Organization for Life Sciences and Environment, National Research and Innovation Agency, Republic of Indonesia.
Saiful AnwarResearch Center for Applied Zoology, Research Organization for Life Sciences and Environment, National Research and Innovation Agency, Republic of Indonesia.
Xing FuSchool of Animal Sciences, Louisiana State University, Baton Rouge, LA, USA.
Jinzeng YangDepartment of Human Nutrition, Food and Animal Sciences, University of Hawaii at Manoa, Honolulu, HI, USA.
Steve P MillerAnimal Breeding and Genetic Unit, University of New England, Armidale, NSW 2351, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite decades of genome sequencing and annotation, a fundamental paradox remains unresolved: how organisms with finite and relatively stable gene numbers generate extraordinary phenotypic diversity. In this review, we propose that regulated RNA variant diversity provides a critical level of resolution for understanding genome expression, which we describe as a conceptual "minimal functional unit" for distinguishing distinct regulatory or functional outcomes. We synthesize evidence that transcript diversity arises through hierarchical and combinatorial RNA variation operating at three levels. At the genome level, diverse gene biotypes-including protein-coding genes, non-coding RNAs, pseudogenes, transposable elements, and bifunctional loci-expand regulatory capacity beyond classical gene definitions. At the gene level, alternative transcription initiation, splicing, and polyadenylation generate structurally and functionally distinct transcript isoforms. At the transcript level, RNA editing and chemical RNA modifications further modulate RNA stability, localization, translation, and immune recognition, forming a dynamic epitranscriptome. Together, these layers of RNA variation dramatically amplify functional output without increasing gene number, providing a coherent framework for linking static genomes to dynamic phenomes. By integrating conceptual models and biological examples, this review highlights RNA variation as a central organizing principle in genetics, with broad implications for evolution, development, and disease.

Indexed as

Genetic VariationGenomeRNAAnimalsGenomicsHumansPhenotypeRNA EditingRNAalternative processinggene biotypesgenomic efficiencyRNA editing and modificationRNA variationtranscript diversity

Identifiers

PMID42328436
PMCPMC13282790

What OpenQuestion holds

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Registered trials

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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.