The genetics of adaptation in Drosophila sechellia

Jones, Corbin D.

doi:10.1007/s10709-004-2728-6

Cited by 84 publications

(102 citation statements)

References 38 publications

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“…Earlier studies suggest that all major chromosomes harbor factors related to the ability of D. sechellia to use Morinda (reviewed in Jones 2004). The pleiotropic effects of these factors could result in a lowered egg production in D. sechellia.…”

Section: Jonesmentioning

confidence: 99%

“…To use this host, D. sechellia has evolved a strong preference for and resistance to the toxins in Morinda (Louis and David, 1986;R'Kha et al, 1991;Jones, 2004). D. sechellia also appears to have evolved a slower rate of egg production than its sister species after it split from its presumably D. simulans-like ancestor (Coyne et al, 1991;R'Kha et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

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Genetics of egg production in Drosophila sechellia

Jones

2004

Heredity

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Drosophila sechellia, an island endemic that specializes on a single host plant, has a lower rate of egg production than its generalist sister species D. melanogaster, D. simulans, and D. mauritiana. Earlier work showed that part of this difference in egg production was due to a reduction in the number of ovarioles in D. sechellia relative to its sister species. Here, I extend this earlier work by genetically analyzing the difference in egg production between D. sechellia and D. simulans. In all, 10 genetic markers were used in several interspecific backcrosses to identify chromosome regions that affected the rate of egg production. While previously mapped factors affecting ovariole number appear to impact the rate of egg production, new, non-ovariole factors were also identified. Overall, the difference in egg production between D. sechellia and D. simulans appears to be a polygenic trait. The relationship between these factors and genes involved the adaptation of D. sechellia to its host plant is not yet clear. The data are consistent with the hypothesis that decline in egg production is, in part, a negative pleiotropic effect of genetic changes required for host specialization in D. sechellia, although finer-scale genetic analysis of both traits is needed to truly test this hypothesis.

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Section: Jonesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Genetics of egg production in Drosophila sechellia

Jones

2004

Heredity

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“…It breeds exclusively on the ripe fruits of the Rubiaceae Morinda citrifolia (Lachaise and Silvain 2004;Cariou et al 2009) and is the only one among the four species of the melanogaster complex to resist the volatile lethal components of Morinda fruit (R'kha et al 1991;Farine et al 1996). Genomic regions involved in the genetic determinism of this adaptation have been localized (Jones 1998;Jones 2005); they include the olfactory receptors (Stensmyr et al 2003;Dekker et al 2006) and two odorant binding proteins responsible for the loss of avoidance to Morinda (Matsuo et al 2007).…”

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confidence: 99%

Species-Wide Genetic Variation and Demographic History of Drosophila sechellia, a Species Lacking Population Structure

Legrand

Tenaillon

Matyot³

et al. 2009

Genetics

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Long-term persistence of species characterized by a reduced effective population size is still a matter of debate that would benefit from the description of new relevant biological models. The island endemic specialist Drosophila sechellia has received considerable attention in evolutionary genetic studies. On the basis of the analysis of a limited number of strains, a handful of studies have reported a strikingly depleted level of genetic variation but little is known about its demographic history. We extended analyses of nucleotide polymorphism in D. sechellia to a species-wide level using 10 nuclear genes sequenced in 10 populations. We confirmed that D. sechellia exhibits little nucleotide-sequence variation. It is characterized by a low effective population size, .10-fold lower than that of D. simulans, which ranks D. sechellia as the least genetically diverse Drosophila species. No obvious population subdivision was detected despite its fragmented geographic distribution on different islands. We used approximate Bayesian computation (ABC) to test for demographic scenarios compatible with the geological history of the Seychelles and the ecology of D. sechellia. We found that while bottlenecks cannot account for the pattern of molecular evolution observed in this species, scenarios close to the null hypothesis of a constant population size are well supported. We discuss these findings with regard to adaptive features specific to D. sechellia and its lifehistory strategy.

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“…D. sechellia is an island-endemic and phytophagous specialist that prefers the smell and taste of Morinda citrifolia (Morinda) fruit (Jones 2005;Matsuo et al 2007;R'Kha et al 1991). D. simulans avoids the fruit and dies when in proximity to it and its constituent organic acids (Jones 1998;R'Kha et al 1991).…”

Section: Phenotype-based Selection and Introgressionmentioning

confidence: 99%

Next-Generation Mapping of Complex Traits with Phenotype-Based Selection and Introgression

Earley

Jones

2011

Genetics

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Finding the genes underlying complex traits is difficult. We show that new sequencing technology combined with traditional genetic techniques can efficiently identify genetic regions underlying a complex and quantitative behavioral trait. As a proof of concept we used phenotype-based introgression to backcross loci that control innate food preference in Drosophila simulans into the genomic background of D. sechellia, which expresses the opposite preference. We successfully mapped D. simulans introgression regions in a small mapping population (30 flies) with whole-genome resequencing using light coverage (1·). We found six loci contributing to D. simulans food preference, one of which overlaps a previously discovered allele. This approach is applicable to many systems, does not rely on laborious marker development or genotyping, does not require existing high quality reference genomes, and needs only small mapping populations. Because introgression is used, researchers can scale mapping population size, replication, and number of backcross generations to their needs. Finally, in contrast to more widely used mapping techniques like F 2 bulk-segregant analysis, our method produces near-isogenic lines that can be kept and reused indefinitely. COMPLEX traits are inherently difficult to dissect genetically. Quantitative trait loci (QTL) studies, genome-wide association studies (GWAS), and forward and reverse genetics are all powerful tools; however, each technique has inherent weaknesses that limit ability to find causal loci (Mackay et al. 2009;Manolio et al. 2009). New methods using nextgeneration sequencing (NGS) technology have successfully captured single loci underlying Mendelian traits generated from mutagenesis screens (Sarin et al. 2008;Blumenstiel et al. 2009; Flibotte et al. 2010;Laitinen et al. 2010;Sarin et al. 2010;Xia et al. 2010;Zuryn et al. 2010); recombinant inbred lines (RILs) Schneeberger et al. 2009); and backcross populations using dominant markers (Andolfatto et al. 2011). However, we lack a time-and costeffective method that maps multiple loci simultaneously without a priori knowledge of their location, number, or effect size.Mapping complex traits is more challenging than mapping Mendelian traits. QTL studies in the past decades have uncovered a plethora of loci underlying complex traits, but QTL methods lack the power to resolve candidate regions to individual genes (Mackay et al. 2009). New NGS approaches have the potential to capture multiple causative loci; however, these methods may also lack sufficient power. proposed "whole-genome resequencing" (WGR), and Baird et al. (2008) proposed "restriction site associated DNA" (RAD) genotyping, which both use NGS-based mapping on bulk segregant populations (Michelmore et al. 1991). These methods require large mapping populations to detect multiple loci of weak effect (e.g., Ehrenreich et al. 2010). Andolfatto et al. (2011) developed a "multiplex shotgun genotyping" (MSG) method, yet MSG also relies on large backcross populations, and i...

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The genetics of adaptation in Drosophila sechellia

Cited by 84 publications

References 38 publications

Genetics of egg production in Drosophila sechellia

Genetics of egg production in Drosophila sechellia

Species-Wide Genetic Variation and Demographic History of Drosophila sechellia, a Species Lacking Population Structure

Next-Generation Mapping of Complex Traits with Phenotype-Based Selection and Introgression

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