Evidence map›Paper›PMID 39838314›Full record

ArticleBMC genomics2025

The genomes of the most diverse AA genome rice species provide a resource for rice improvement and studies of rice evolution and domestication.

Muhammad Abdullah, Agnelo Furtado, Ardashir Kharabian Masouleh, Pauline Okemo, Robert Henry

Abstract read
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Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Muhammad AbdullahQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD, Australia.
Agnelo FurtadoQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD, Australia.
Ardashir Kharabian MasoulehQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD, Australia.
Pauline OkemoQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD, Australia.
Robert HenryQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD, Australia. robert.henry@uq.edu.au.

Funding

Australian Research Council CE200100015
6 · The paper itself

Abstract

Rice (Oryza sativa) is a staple food crop globally, with origins in wild progenitors within the AA genome group of Oryza species. Oryza rufipogon and Oryza meridionalis are native to tropical Asia and Northern Australia and offer unique genetic reservoirs. Here we explored the relationships of the genomes of these wild rice species with the domesticated rice genome. We utilized long read sequencing (PacBio HiFi) and chromatin mapping (Hi-C) to produce de novo chromosomal level genomes of Oryza meridionalis, the most divergent AA gnome species, and the unique Australian Oryza rufipogon like taxon that is a sister to the clade of domesticated and wild AA genome rice species of Asia and Africa. Comparative genomic analyses were conducted to identify structural variations and syntenic relationships between these wild taxa and the domesticated rice variety Nipponbare. The genome assemblies of the wild rice species achieved high completeness and contiguity, revealing the shared and unique genes in each species. Both wild species uniquely shared some genes with domesticated rice many of which were associated with disease resistance and stress tolerance. Structural differences included the large 6 Mb inversion on chromosome 6 specific to Japonica rice. Functional annotation highlighted conserved biological functions and novel genes unique to the wild taxa. These findings provide a deeper understanding of rice domestication and highlight the genetic contributions of wild species to enhancing the genetic diversity and ecological adaptability of modern rice varieties. Our study emphasizes the importance of conserving wild rice populations as genetic resources for breeding and adaptation in changing environments.

Indexed as

DomesticationEvolution, MolecularGenome, PlantOryzaChromosomes, PlantGenomicsMolecular Sequence AnnotationPhylogenyOryza MeridionalisOryza rufipogonRice domesticationRice evolutionStructural variation

Identifiers

PMID39838314
PMCPMC11748844

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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.