2013
DOI: 10.1111/mec.12301
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Polymorphism in the neurofibromin gene, Nf1, is associated with antagonistic selection on wing size and development time in Drosophila melanogaster

Abstract: In many invertebrates, body size shows genetically based clines, with size increasing in colder climates. Large body size is typically associated with prolonged development times. We consider variation in the CNS-specific gene neurofibromin 1 (Nf1) and its association with body size and development time. We identified two major Nf1 haplotypes in natural populations, Nf1-insertion-A and Nf1-deletion-G. These haplotypes are characterized by a 45-base insertion/deletion (INDEL) in Nf1 intron 2 and an A/G synonymo… Show more

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Cited by 23 publications
(26 citation statements)
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“…These examples illustrate the complexity of dissecting clinal selection and the genotype–phenotype map underlying clinal adaptation (Lee et al. ; Paaby et al. ; Flatt ).…”
Section: Discussionmentioning
confidence: 96%
See 2 more Smart Citations
“…These examples illustrate the complexity of dissecting clinal selection and the genotype–phenotype map underlying clinal adaptation (Lee et al. ; Paaby et al. ; Flatt ).…”
Section: Discussionmentioning
confidence: 96%
“…As noted by Lee et al. () and Paaby et al. (), clinal variants subject to countergradient effects might interact epistatically with other loci affecting the trait, or they might be affected by antagonistic selection pressures (Schluter et al.…”
Section: Discussionmentioning
confidence: 98%
See 1 more Smart Citation
“…In Australian D. melanogaster , haplotypes of the Neurofibromin gene were correlated with antagonistic effects on development time and wing size (Lee et al. 2013). …”
Section: Introductionmentioning
confidence: 99%
“…Whilst SNPs are informative and relatively easy to identify, studies on model species have shown that insertion-deletion polymorphisms (indels) also play an important role in genome evolution and adaptation [73][74][75][76]. Identifying indels from high-throughput sequencing data remains a difficult bioinformatic problem [77], and identifying large indels in RRS data is especially difficult because only a small percentage of the genome is sequenced.…”
Section: Methods For Generating Genomic Datamentioning
confidence: 99%