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Mapping of pigmentation QTL on an anchored genome assembly of the cichlid fish, Metriaclima zebra

Overview of attention for article published in BMC Genomics, January 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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6 tweeters

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60 Mendeley
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Title
Mapping of pigmentation QTL on an anchored genome assembly of the cichlid fish, Metriaclima zebra
Published in
BMC Genomics, January 2013
DOI 10.1186/1471-2164-14-287
Pubmed ID
Authors

Claire T O’Quin, Alexi C Drilea, Matthew A Conte, Thomas D Kocher

Abstract

BACKGROUND: Pigmentation patterns are one of the most recognizable phenotypes across the animal kingdom. They play an important role in camouflage, communication, mate recognition and mate choice. Most progress on understanding the genetics of pigmentation has been achieved via mutational analysis, with relatively little work done to understand variation in natural populations. Pigment patterns vary dramatically among species of cichlid fish from Lake Malawi, and are thought to be important in speciation. In this study, we crossed two species, Metriaclima zebra and M. mbenjii, that differ in several aspects of their body and fin color. We genotyped 798 SNPs in 160 F2 male individuals to construct a linkage map that was used to identify quantitative trait loci (QTL) associated with the pigmentation traits of interest. We also used the linkage map to anchor portions of the M. zebra genome assembly. RESULTS: We constructed a linkage map consisting of 834 markers in 22 linkage groups that spanned over 1,933 cM. QTL analysis detected one QTL each for dorsal fin xanthophores, caudal fin xanthophores, and pelvic fin melanophores. Dorsal fin and caudal fin xanthophores share a QTL on LG12, while pelvic fin melanophores have a QTL on LG11. We used the mapped markers to anchor 66.5% of the M. zebra genome assembly. Within each QTL interval we identified several candidate genes that might play a role in pigment cell development. CONCLUSION: This is one of a few studies to identify QTL for natural variation in fish pigmentation. The QTL intervals we identified did not contain any pigmentation genes previously identified by mutagenesis studies in other species. We expect that further work on these intervals will identify new genes involved in pigment cell development in natural populations.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
United Kingdom 1 2%
Brazil 1 2%
Japan 1 2%
United States 1 2%
Unknown 55 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 35%
Researcher 15 25%
Student > Master 7 12%
Student > Bachelor 4 7%
Professor > Associate Professor 3 5%
Other 10 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 85%
Biochemistry, Genetics and Molecular Biology 4 7%
Environmental Science 3 5%
Unspecified 2 3%

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 23 October 2014.
All research outputs
#798,828
of 4,507,211 outputs
Outputs from BMC Genomics
#698
of 4,113 outputs
Outputs of similar age
#18,377
of 88,160 outputs
Outputs of similar age from BMC Genomics
#27
of 164 outputs
Altmetric has tracked 4,507,211 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,113 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 82% of its peers.
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 88,160 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.