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  Automated phenotyping indicates pupal size in Drosophila is a highly heritable trait with an apparent polygenic basis

Reeves, R. G., & Tautz, D. (2017). Automated phenotyping indicates pupal size in Drosophila is a highly heritable trait with an apparent polygenic basis. G3: Genes, Genomes, Genetics, 7(4), 1277-1286. doi:10.1534/g3.117.039883.

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Reeves, R. Guy1, Author           
Tautz, Diethard2, Author           
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1Research Group Population Genetics, Department Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445646              
2Department Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445635              

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 Abstract: The intense focus on studying human height has done more than any other genetic analysis to advance our understanding of the heritability of highly complex phenotypes. Here, we describe in detail the properties of a previously unexplored trait in Drosophila melanogaster that shares many salient properties with human height. The total length of the pupal case varies between 2.8 and 3.9 mm among natural variants, and we report that it is among the most heritable traits reported in this species. We have developed a simple semiautomatic phenotyping system with which a single operator can reliably score >5000 individuals in a day. The precision of the automated system is 0.042 mm (± 0.030 SD). All phenotyped individuals are available to be mated in subsequent generations or uniquely archived for future molecular work. We report both broad sense and narrow sense heritability estimates for two biologically distinct data sets. Narrow sense heritability (h(2)) ranged from 0.44 to 0.50, and broad sense heritability (H(2)) ranged from 0.58 to 0.61. We present results for mapping the trait in 195 recombinant inbred lines, which suggests that there are no loci with >10% effect size in this panel. We propose that pupal size genetics in Drosophila could represent a model complex trait amenable to deep genetic dissection using the automated system described.

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Language(s): eng - English
 Dates: 2016-09-212017-02-132017-03-022017-04
 Publication Status: Issued
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Title: G3: Genes, Genomes, Genetics
Source Genre: Journal
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Publ. Info: Bethesda : Genetics Society of America
Pages: - Volume / Issue: 7 (4) Sequence Number: - Start / End Page: 1277 - 1286 Identifier: Other: http://www.sherpa.ac.uk/romeo/issn/2160-1836/
Other: 2160-1836
CoNE: https://pure.mpg.de/cone/journals/resource/2160-1836