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Local adaptation and the evolution of inversions on sex chromosomes and autosomes

Overview of attention for article published in Philosophical Transactions of the Royal Society B: Biological Sciences, August 2018
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

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8 X users

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79 Mendeley
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Article details
Title
Local adaptation and the evolution of inversions on sex chromosomes and autosomes
Published in
Philosophical Transactions of the Royal Society B: Biological Sciences, August 2018
DOI 10.1098/rstb.2017.0423
Pubmed ID
Authors
Abstract

Spatially varying selection with gene flow can favour the evolution of inversions that bind locally adapted alleles together, facilitate local adaptation and ultimately drive genomic divergence between species. Several studies have shown that the rates of spread and establishment of new inversions capturing locally adaptive alleles depend on a suite of evolutionary factors, including the strength of selection for local adaptation, rates of gene flow and recombination, and the deleterious mutation load carried by inversions. Because the balance of these factors is expected to differ between X (or Z) chromosomes and autosomes, opportunities for inversion evolution are likely to systematically differ between these genomic regions, though such scenarios have not been formally modelled. Here, we consider the evolutionary dynamics of X-linked and autosomal inversions in populations evolving at a balance between migration and local selection. We identify three factors that lead to asymmetric rates of X-linked and autosome inversion establishment: (1) sex-biased migration, (2) dominance of locally adapted alleles and (3) chromosome-specific deleterious mutation loads. This theory predicts an elevated rate of fixation, and depressed opportunities for polymorphism, for X-linked inversions. Our survey of data on the genomic distribution of polymorphic and fixed inversions supports both theoretical predictions.This article is part of the theme issue 'Linking local adaptation with the evolution of sex differences'.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 22%
Researcher 13 16%
Student > Doctoral Student 8 10%
Student > Bachelor 8 10%
Student > Master 8 10%
Other 9 11%
Unknown 16 20%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 32 41%
Biochemistry, Genetics and Molecular Biology 23 29%
Environmental Science 4 5%
Psychology 1 1%
Engineering 1 1%
Other 0 0%
Unknown 18 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 October 2018.
All research outputs
#7,676,007
of 27,396,316 outputs
Outputs from Philosophical Transactions of the Royal Society B: Biological Sciences
#4,074
of 7,343 outputs
Outputs of similar age
#114,670
of 348,775 outputs
Outputs of similar age from Philosophical Transactions of the Royal Society B: Biological Sciences
#66
of 113 outputs
Altmetric has tracked 27,396,316 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,343 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 348,775 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.