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Male–female relatedness at specific SNP-linkage groups influences cryptic female choice in Chinook salmon (Oncorhynchus tshawytscha)

Overview of attention for article published in Proceedings of the Royal Society B: Biological Sciences, July 2017
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  • Good Attention Score compared to outputs of the same age (68th percentile)

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8 X users

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33 Mendeley
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Article details
Title
Male–female relatedness at specific SNP-linkage groups influences cryptic female choice in Chinook salmon (Oncorhynchus tshawytscha)
Published in
Proceedings of the Royal Society B: Biological Sciences, July 2017
DOI 10.1098/rspb.2017.0853
Pubmed ID
Authors
Abstract

In a range of taxa, the relatedness between mates influences both pre- and post-mating processes of sexual selection. However, relatively little is known about the genetic loci facilitating such a bias, with the exception of the major histocompatibility complex. Here, we performed tightly controlled replicated in vitro fertilization trials to explore the impact of relatedness on two possible mechanisms of cryptic female choice (CFC) in Chinook salmon (Oncorhynchus tshawytscha). We tested (i) whether relatedness of mates, assessed using 682 single nucleotide polymorphisms (SNPs) on 29 SNP-linkage groups (LGs), biases a male's sperm velocity in ovarian fluid (a parameter previously shown to predict male fertilization success), and (ii) whether relatedness of mates governs fertilization success via other mechanisms, probably via sperm-egg interactions. We found that relatedness on three LGs explained the variation in sperm velocity, and relatedness on two LGs explained fertilization success, which might indicate the presence of genes important in sperm-ovarian fluid and sperm-egg interactions in these genomic regions. Mapping of the SNPs on these LGs to the rainbow trout genome revealed two genes that affect fertility in humans and represent candidate genes for further studies. Our results thereby provide a novel contribution to the understanding of the mechanism of CFC.

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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 33 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 33 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Researcher 7 21%
Student > Bachelor 5 15%
Student > Doctoral Student 2 6%
Professor 1 3%
Other 1 3%
Unknown 10 30%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 15 45%
Biochemistry, Genetics and Molecular Biology 5 15%
Veterinary Science and Veterinary Medicine 1 3%
Medicine and Dentistry 1 3%
Engineering 1 3%
Other 0 0%
Unknown 10 30%
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 31 July 2017.
All research outputs
#8,645,929
of 30,080,742 outputs
Outputs from Proceedings of the Royal Society B: Biological Sciences
#7,943
of 11,824 outputs
Outputs of similar age
#103,661
of 331,158 outputs
Outputs of similar age from Proceedings of the Royal Society B: Biological Sciences
#124
of 156 outputs
Altmetric has tracked 30,080,742 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 11,824 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.8. This one is in the 32nd percentile – i.e., 32% 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 331,158 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 68% of its contemporaries.
We're also able to compare this research output to 156 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.