Evidence map›Paper›PMID 20701682›Full record

ArticleMolecular ecology2010

Cultivated and weedy rice interactions and the domestication process.

Amy Lawton-Rauh, Nilda Burgos

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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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Amy Lawton-RauhDepartment of Genetics and Biochemistry, Clemson University, Clemson, SC 29631, USA. amylr@clemson.edu
Nilda Burgos

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Examining the targets of selection in crop species and their wild and weedy relatives sheds light on the evolutionary processes underlying differentiation of cultivars from progenitor lineages. On one hand, human-mediated directional selection in crops favours traits associated with the streamlining of controllable and predictable monoculture practices alongside selection for desired trait values. On the other hand, natural selection in wild and especially weedy relatives presumably favours trait values that increase the probability of escaping eradication. Gene flow between crops and wild species may also counter human-mediated selection, promoting the evolution and persistence of weedy forms. In this issue, two studies from a group of collaborators examine diversity and divergence patterns of genes underlying two traits associated with red rice (Oryza sp.), the conspecific relative of cultivated rice (Oryza sativa) that is a non-native weed (see Fig. 1). In the first study by Gross et al. (2010), genetic variation in the major gene underlying the hallmark red pigmentation characterizing most weedy rice (Rc) is found to have a pattern consistent with non-reversion from U.S. cultivated rice (i.e. the cultivar did not 'go feral'). This suggests that U.S. weedy rice is not an escaped lineage derived from U.S. cultivated rice populations; weedy rice likely differentiated prior to the selective sweep occurred in this gene within cultivated rice populations. Using the major seed shattering locus sh4 gene and the neighbouring genomic region, Thurber et al. (2010) track the molecular evolutionary history of the high shattering phenotype, a trait contributing dramatically to the success of crop selection in cultivated rice as well as the persistence and expansion of weedy red rice. In this study, the shared fixation of a sh4 mutation in both cultivated rice and weedy rice indicates that weedy rice arose subsequent to the strong selective sweep leading to significant reduction in seed shattering in cultivated rice.

Indexed as

Evolution, MolecularGenetic VariationAllelesBreedingCrops, AgriculturalDNA, PlantGene FlowOryzaPhenotypePigmentationSeedsSelection, GeneticSequence Analysis, DNAUnited StatesDNA, Plant

Identifiers

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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.