Evidence map›Paper›PMID 26333424›Full record

ArticleScientific reports2015

Identification of outliers in a genomic scan for selection along environmental gradients in the bamboo locust, Ceracris kiangsu.

Xiao-Jing Feng, Guo-Fang Jiang, Zhou Fan

Abstract read
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Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

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17citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  8. Population Genetics ofPlants (Basel, Switzerland) · 2020
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xiao-Jing FengJiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Road, Nanjing, Jiangsu 210023, China.
Guo-Fang JiangJiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Road, Nanjing, Jiangsu 210023, China.
Zhou FanJiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Road, Nanjing, Jiangsu 210023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of loci under divergent selection is a key step in understanding the evolutionary process because those loci are responsible for the genetic variations that affect fitness in different environments. Understanding how environmental forces give rise to adaptive genetic variation is a challenge in pest control. Here, we performed an amplified fragment length polymorphism (AFLP) genome scan in populations of the bamboo locust, Ceracris kiangsu, to search for candidate loci that are influenced by selection along an environmental gradient in southern China. In outlier locus detection, loci that demonstrate significantly higher or lower among-population genetic differentiation than expected under neutrality are identified as outliers. We used several outlier detection methods to study the features of C. kiangsu, including method DFDIST, BayeScan, and logistic regression. A total of 97 outlier loci were detected in the C. kiangsu genome with very high statistical supports. Moreover, the results suggested that divergent selection arising from environmental variation has been driven by differences in temperature, precipitation, humidity and sunshine. These findings illustrate that divergent selection and potential local adaptation are prevalent in locusts despite seemingly high levels of gene flow. Thus, we propose that native environments in each population may induce divergent natural selection.

Indexed as

AlgorithmsAmplified Fragment Length Polymorphism AnalysisAnimalsBiological EvolutionChromosome MappingGrasshoppersMetagenomicsPolymorphism, Restriction Fragment LengthQuantitative Trait LociSelection, Genetic

Identifiers

PMID26333424
PMCPMC4558720

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