Evidence map›Paper›PMID 25335927›Full record

ArticleG3 (Bethesda, Md.)2014

Statistical inference of selection and divergence of the rice blast resistance gene Pi-ta.

Amei Amei, Seonghee Lee, Kirankumar S Mysore, Yulin Jia

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Amei AmeiDepartment of Mathematical Sciences, University of Nevada, Las Vegas, Nevada.
Seonghee LeePlant Biology Division, The Samuel Roberts Noble Foundation, Ardmore, Oklahoma.
Kirankumar S MysorePlant Biology Division, The Samuel Roberts Noble Foundation, Ardmore, Oklahoma.
Yulin JiaUSDA-Agricultural Research Service, Dale Bumpers National Rice Research Center, Stuttgart, Arkansas Yulin.jia@ars.usda.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The resistance gene Pi-ta has been effectively used to control rice blast disease, but some populations of cultivated and wild rice have evolved resistance. Insights into the evolutionary processes that led to this resistance during crop domestication may be inferred from the population history of domesticated and wild rice strains. In this study, we applied a recently developed statistical method, time-dependent Poisson random field model, to examine the evolution of the Pi-ta gene in cultivated and weedy rice. Our study suggests that the Pi-ta gene may have more recently introgressed into cultivated rice, indica and japonica, and U.S. weedy rice from the wild species, O. rufipogon. In addition, the Pi-ta gene is under positive selection in japonica, tropical japonica, U.S. cultivars and U.S. weedy rice. We also found that sequences of two domains of the Pi-ta gene, the nucleotide binding site and leucine-rich repeat domain, are highly conserved among all rice accessions examined. Our results provide a valuable analytical tool for understanding the evolution of disease resistance genes in crop plants.

Indexed as

Genes, PlantDisease ResistanceHaplotypesMarkov ChainsMonte Carlo MethodOryzaPhylogenyPlant DiseasesPlant ProteinsPlant ProteinsevolutionNBS-LRRPi-taPoisson random fieldresistance gene

Identifiers

PMID25335927
PMCPMC4267938

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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.