Evidence map›Paper›PMID 31002105›Full record

ArticleGenome biology and evolution2019

Fine Scale Genomic Signals of Admixture and Alien Introgression among Asian Rice Landraces.

João D Santos, Dmytro Chebotarov, Kenneth L McNally, Jérôme Bartholomé, Gaëtan Droc, Claire Billot, Jean Christophe Glaszmann

Abstract read
In one paragraph

Article in Genome biology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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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3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. GeMo: a web-based platform for the visualization and curation of genome ancestry mosaics.Database : the journal of biological databases and curation · 2022
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  13. A new comprehensive annotation of leucine-rich repeat-containing receptors in rice.The Plant journal : for cell and molecular biology · 2021
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  19. Chromosome reciprocal translocations have accompanied subspecies evolution in bananas.The Plant journal : for cell and molecular biology · 2020
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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

7 authors.

João D SantosUMR AGAP, CIRAD, Montpellier, France.
Dmytro ChebotarovInternational Rice Research Institute (IRRI), Los Baños, Philippines.
Kenneth L McNallyInternational Rice Research Institute (IRRI), Los Baños, Philippines.
Jérôme BartholoméUMR AGAP, CIRAD, Montpellier, France.
Gaëtan DrocUMR AGAP, CIRAD, Montpellier, France.
Claire BillotUMR AGAP, CIRAD, Montpellier, France.
Jean Christophe GlaszmannUMR AGAP, CIRAD, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern rice cultivars are adapted to a range of environmental conditions and human preferences. At the root of this diversity is a marked genetic structure, owing to multiple foundation events. Admixture and recurrent introgression from wild sources have played upon this base to produce the myriad adaptations existing today. Genome-wide studies bring support to this idea, but understanding the history and nature of particular genetic adaptations requires the identification of specific patterns of genetic exchange. In this study, we explore the patterns of haplotype similarity along the genomes of a subset of rice cultivars available in the 3,000 Rice Genomes data set. We begin by establishing a custom method of classification based on a combination of dimensionality reduction and kernel density estimation. Through simulations, the behavior of this classifier is studied under scenarios of varying genetic divergence, admixture, and alien introgression. Finally, the method is applied to local haplotypes along the genome of a Core set of Asian Landraces. Taking the Japonica, Indica, and cAus groups as references, we find evidence of reciprocal introgressions covering 2.6% of reference genomes on average. Structured signals of introgression among reference accessions are discussed. We extend the analysis to elucidate the genetic structure of the group circum-Basmati: we delimit regions of Japonica, cAus, and Indica origin, as well as regions outlier to these groups (13% on average). Finally, the approach used highlights regions of partial to complete loss of structure that can be attributed to selective pressures during domestication.

Indexed as

Genome, PlantAsiaDomesticationHaplotypesHybridization, GeneticOryza3,000 Rice Genomeskernel density estimationlocal haplotypesOryza sativapopulation structureSNPs

Identifiers

PMID31002105
PMCPMC6499253

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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.