Evidence map›Paper›PMID 20584132›Full record

ArticleMolecular ecology2010

Molecular evolution of shattering loci in U.S. weedy rice.

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

Abstract read
In one paragraph

Article in Molecular ecology, 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
–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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Advances in Rice Seed Shattering.International journal of molecular sciences · 2023
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Call of the wild rice:Evolutionary applications · 2019
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Carrie S ThurberBiology Department, University of Massachusetts, Amherst, MA 01003, USA.
Michael Reagon
Briana L Gross
Kenneth M Olsen
Yulin Jia
Ana L Caicedo

Funding

Evolutionary Response to Parallel Selective Pressures in Cultivated RiceF32GM082165 · NIGMS · WASHINGTON UNIVERSITY · PI GROSS, BRIANA LEE · 2007 to 2009
$142k
NIGMS NIH HHS F32 GM082165
6 · The paper itself

Abstract

Cultivated rice fields worldwide are plagued with weedy rice, a conspecific weed of cultivated rice (Oryza sativa L.). The persistence of weedy rice has been attributed, in part, to its ability to shatter (disperse) seed prior to crop harvesting. In the United States, separately evolved weedy rice groups have been shown to share genomic identity with exotic domesticated cultivars. Here, we investigate the shattering phenotype in a collection of U.S. weedy rice accessions, as well as wild and cultivated relatives. We find that all U.S. weedy rice groups shatter seeds easily, despite multiple origins, and in contrast to a decrease in shattering ability seen in cultivated groups. We assessed allelic identity and diversity at the major shattering locus, sh4, in weedy rice; we find that all cultivated and weedy rice, regardless of population, share similar haplotypes at sh4, and all contain a single derived mutation associated with decreased seed shattering. Our data constitute the strongest evidence to date of an evolution of weeds from domesticated backgrounds. The combination of a shared cultivar sh4 allele and a highly shattering phenotype, suggests that U.S. weedy rice have re-acquired the shattering trait after divergence from their progenitors through alternative genetic mechanisms.

Indexed as

Evolution, MolecularGenetic VariationPhenotypeAllelesBreedingCrops, AgriculturalDNA, PlantHaplotypesHybridization, GeneticOryzaPolymorphism, Single NucleotideSeedsSequence Analysis, DNAUnited StatesDNA, Plant

Identifiers

PMID20584132
PMCPMC2988683

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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.