Evidence map›Paper›PMID 20550656›Full record

ArticleBMC evolutionary biology2010

Genomic patterns of nucleotide diversity in divergent populations of U.S. weedy rice.

Michael Reagon, Carrie S Thurber, Briana L Gross, Kenneth M Olsen, Yulin Jia, Ana L Caicedo

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

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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

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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

41 citing papers in PubMed, 123 citations in OpenAlex.

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  11. Whole-genome sequencing reveals uniqueness of black-hulled and straw-hulled weedy rice genomes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
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  19. Call of the wild rice:Evolutionary applications · 2019
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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 3 institutions in 1 country.

Michael ReagonBiology Department, University of Massachusetts, Amherst, 01003, USA.
Carrie S Thurber
Briana L Gross
Kenneth M Olsen
Yulin Jia
Ana L Caicedo
University of Massachusetts Amherst · USWashington University in St. Louis · USDale Bumpers National Rice Research Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWeedy rice (red rice), a conspecific weed of cultivated rice (Oryza sativa L.), is a significant problem throughout the world and an emerging threat in regions where it was previously absent. Despite belonging to the same species complex as domesticated rice and its wild relatives, the evolutionary origins of weedy rice remain unclear. We use genome-wide patterns of single nucleotide polymorphism (SNP) variation in a broad geographic sample of weedy, domesticated, and wild Oryza samples to infer the origin and demographic processes influencing U.S. weedy rice evolution.

resultsWe find greater population structure than has been previously reported for U.S. weedy rice, and that the multiple, genetically divergent populations have separate origins. The two main U.S. weedy rice populations share genetic backgrounds with cultivated O. sativa varietal groups not grown commercially in the U.S., suggesting weed origins from domesticated ancestors. Hybridization between weedy groups and between weedy rice and local crops has also led to the evolution of distinct U.S. weedy rice populations. Demographic simulations indicate differences among the main weedy groups in the impact of bottlenecks on their establishment in the U.S., and in the timing of divergence from their cultivated relatives.

conclusionsUnlike prior research, we did not find unambiguous evidence for U.S. weedy rice originating via hybridization between cultivated and wild Oryza species. Our results demonstrate the potential for weedy life-histories to evolve directly from within domesticated lineages. The diverse origins of U.S. weedy rice populations demonstrate the multiplicity of evolutionary forces that can influence the emergence of weeds from a single species complex.

Indexed as

Evolution, MolecularGenetics, PopulationPolymorphism, Single NucleotideCrops, AgriculturalDNA, PlantGenome, PlantModels, BiologicalOryzaSequence Analysis, DNAUnited StatesDNA, Plant

Identifiers

PMID20550656
PMCPMC2898691
OpenAlexW2122663783

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Textmetadata
LicenceCC BY
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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.