Skip to content
naulon

No retraction, correction or concern found when last checked on Oct 30, 2026.

Global Diversity Lines–A Five-Continent Reference Panel of Sequenced Drosophila melanogaster Strains

Jennifer K Grenier, J Roman Arguello, Margarida Cardoso Moreira and 6 more

G3 Genes|Genomes|Genetics · 2015

doi:10.1534/g3.114.015883

Abstract

Reference collections of multiple Drosophila lines with accumulating collections of “omics” data have proven especially valuable for the study of population genetics and complex trait genetics. Here we present a description of a resource collection of 84 strains of Drosophila melanogaster whose genome sequences were obtained after 12 generations of full-sib inbreeding. The initial rationale for this resource was to foster development of a systems biology platform for modeling metabolic regulation by the use of natural polymorphisms as perturbations. As reference lines, they are amenable to repeated phenotypic measurements, and already a large collection of metabolic traits have been assayed. Another key feature of these strains is their widespread geographic origin, coming from Beijing, Ithaca, Netherlands, Tasmania, and Zimbabwe. After obtaining 12.5× coverage of paired-end Illumina sequence reads, SNP and indel calls were made with the GATK platform. Thorough quality control was enabled by deep sequencing one line to >100×, and single-nucleotide polymorphisms and indels were validated using ddRAD-sequencing as an orthogonal platform. In addition, a series of preliminary population genetic tests were performed with these single-nucleotide polymorphism data for assessment of data quality. We found 83 segregating inversions among the lines, and as expected these were especially abundant in the African sample. We anticipate that this will make a useful addition to the set of reference D. melanogaster strains, thanks to its geographic structuring and unusually high level of genetic diversity.

Shown for reading. Its publisher allows quoting it, not republishing it.

References 49

  1. 1.

    Andolfatto P. Wall J. D. Kreitman M., 1999 Unusual haplotype structure at the proximal breakpoint of In(2L)t in a natural population of Drosophila melanogaster. Genetics 153: 1297–1311.

    Not in our library10.1093/genetics/153.3.1297

  2. 2.

    Arnold B. Corbett-Detig R. B. Hartl D. Bomblies K., 2013 RADseq underestimates diversity and introduces genealogical biases due to nonrandom haplotype sampling. Mol. Ecol. 22: 3179–3190.

    Not in our library10.1111/mec.12276

  3. 3.

    Ayroles J. F. Carbone M. A. Stone E. A. Jordan K. W. Lyman R. F., 2009 Systems genetics of complex traits in Drosophila melanogaster. Nat. Genet. 41: 299–307.

    Not in our library10.1038/ng.332

  4. 4.

    Baudry E. Viginier B. Veuille M., 2004 Non-African populations of Drosophila melanogaster have a unique origin. Mol. Biol. Evol. 21: 1482–1491.

    Not in our library10.1093/molbev/msh089

  5. 5.

    Begun D. J. Aquadro C. F., 1993 African and North American populations of Drosophila melanogaster are very different at the DNA level. Nature 365: 548–550.

    Not in our library10.1038/365548a0

  6. 6.

    Blair R. H. Kliebenstein D. J. Churchill G. A., 2012 What can causal networks tell us about metabolic pathways? PLOS Comput. Biol. 8: e1002458.

    Not in our library10.1371/journal.pcbi.1002458

  7. 7.

    Breunig J. S. Hackett S. R. Rabinowitz J. D. Kruglyak L., 2014 Genetic basis of metabolome variation in yeast. PLoS Genet. 10: e1004142.

    Not in our library10.1371/journal.pgen.1004142

  8. 8.

    Cardoso-Moreira M. Arguello J. R. Clark A. G., 2012 Mutation spectrum of Drosophila CNVs revealed by breakpoint sequencing. Genome Biol. 13: R119.

    Not in our library10.1186/gb-2012-13-12-r119

  9. 9.

    Cingolani P. Platts A. Wang L. L. Coon M. Nguyen T., 2012 A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly (Austin) 6: 80–92.

    Not in our library10.4161/fly.19695

  10. 10.
  11. 11.

    Corbett-Detig R. B. Cardeno C. Langley C. H., 2012 Sequence-based detection and breakpoint assembly of polymorphic inversions. Genetics 192: 131–137.

    Not in our library10.1534/genetics.112.141622

  12. 12.
  13. 13.

    David J. Bocquet C. Pla E., 1976 New results on the genetic characteristics of the Far East race of Drosophila melanogaster. Genet. Res. 28: 253–260.

    Not in our library10.1017/s0016672300016943

  14. 14.

    DePristo M. A. Banks E. Poplin R. Garimella K. V. Maguire J. R., 2011 A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat. Genet. 43: 491–498.

    Not in our library10.1038/ng.806

  15. 15.

    Eanes W. F., 2011 Molecular population genetics and selection in the glycolytic pathway. J. Exp. Biol. 214: 165–171.

    Not in our library10.1242/jeb.046458

  16. 16.

    Early A. M. Clark A. G., 2013 Monophyly of Wolbachia pipientis genomes within Drosophila melanogaster: geographic structuring, titre variation and host effects across five populations. Mol. Ecol. 22: 5765–5778.

    Not in our library10.1111/mec.12530

  17. 17.

    Gautier M. Foucaud J. Gharbi K. Cézard T. Galan M., 2013 Estimation of population allele frequencies from next-generation sequencing data: pool-vs. individual-based genotyping. Mol. Ecol. 22: 3766–3779.

    Not in our library10.1111/mec.12360

  18. 18.

    Ghazalpour A. Bennett B. J. Shih D. Che N. Orozco L., 2014 Genetic regulation of mouse liver metabolite levels. Mol. Syst. Biol. 10: 730.

    Not in our library10.15252/msb.20135004

  19. 19.

    Glinka S. Ometto L. Mousset S. Stephan W. De Lorenzo D., 2003 Demography and natural selection have shaped genetic variation in Drosophila melanogaster: a multi-locus approach. Genetics 165: 1269–1278.

    Not in our library10.1093/genetics/165.3.1269

  20. 20.

    Greenberg A. J. Hackett S. R. Harshman L. G. Clark A. G., 2010 A hierarchical Bayesian model for a novel sparse partial diallel crossing design. Genetics 185: 361–373.

    Not in our library10.1534/genetics.110.115055

  21. 21.

    Greenberg A. J. Hackett S. R. Harshman L. G. Clark A. G., 2011 Environmental and genetic perturbations reveal different networks of metabolic regulation. Mol. Syst. Biol. 7: 563.

    Not in our library10.1038/msb.2011.96

  22. 22.

    Haddrill P. R. Thornton K. R. Charlesworth B. Andolfatto P., 2005 Multilocus patterns of nucleotide variability and the demographic and selection history of Drosophila melanogaster populations. Genome Res. 15: 790–799.

    Not in our library10.1101/gr.3541005

  23. 23.

    Hu T. T. Eisen M. B. Thornton K. R. Andolfatto P., 2013 A second-generation assembly of the Drosophila simulans genome provides new insights into patterns of lineage-specific divergence. Genome Res. 23: 89–98.

    Not in our library10.1101/gr.141689.112

  24. 24.
  25. 25.
  26. 26.

    Kent W. J., 2002 BLAT—the BLAST-like alignment tool. Genome Res. 12: 656–664.

    Not in our library10.1101/gr.229202

  27. 27.

    King E. G. Merkes C. M. McNeil C. L. Hoofer S. R. Sen S., 2012 Genetic dissection of a model complex trait using the Drosophila Synthetic Population Resource. Genome Res. 22: 1558–1566.

    Not in our library10.1101/gr.134031.111

  28. 28.

    Langley C. H. Crepeau M. Cardeno C. Corbett-Detig R. Stevens K., 2011 Circumventing heterozygosity: sequencing the amplified genome of a single haploid Drosophila melanogaster embryo. Genetics 188: 239–246.

    Not in our library10.1534/genetics.111.127530

  29. 29.

    Langley C. H. Stevens K. Cardeno C. Lee Y. C. G. Schrider D. R., 2012 Genomic variation in natural populations of Drosophila melanogaster. Genetics 192: 533–598.

    Not in our library10.1534/genetics.112.142018

  30. 30.

    Laurent S. J. Y. Werzner A. Excoffier L. Stephan W., 2011 Approximate Bayesian analysis of Drosophila melanogaster polymorphism data reveals a recent colonization of Southeast Asia. Mol. Biol. Evol. 28: 2041–2051.

    Not in our library10.1093/molbev/msr031

  31. 31.

    Lavington E. Cogni R. Kuczynski C. Koury S. Behrman E. L., 2014 A small system–high-resolution study of metabolic adaptation in the central metabolic pathway to temperate climates in Drosophila melanogaster. Mol. Biol. Evol. 31: 2032–2041.

    Not in our library10.1093/molbev/msu146

  32. 32.
  33. 33.

    Lemeunier F. Aulard S., 1992 Inversion polymorphism in Drosophila melanogaster, pp. 339–406 in Drosophila Inversion Polymorphism, edited by Krimbas C. B. Powell J. R. CRC Press, Boca Raton, FL.

    Not in our library

  34. 34.
  35. 35.

    Li H. Durbin R., 2009 Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25: 1754–1760.

    Not in our library10.1093/bioinformatics/btp324

  36. 36.

    Mackay T. F. C. Richards S. Stone E. A. Barbadilla A. Ayroles J. F., 2012 The Drosophila melanogaster Genetic Reference Panel. Nature 482: 173–178.

    Not in our library10.1038/nature10811

  37. 37.

    Massouras A. Waszak S. M. Albarca-Aguilera M. Hens K. Holcombe W., 2012 Genomic variation and its impact on gene expression in Drosophila melanogaster. PLoS Genet. 8: e1003055.

    Not in our library10.1371/journal.pgen.1003055

  38. 38.

    Matzkin L. M. Merritt T. J. S. Zhu C.-T. Eanes W. F., 2005 The structure and population genetics of the breakpoints associated with the cosmopolitan chromosomal inversion In(3R)Payne in Drosophila melanogaster. Genetics 170: 1143–1152.

    Not in our library10.1534/genetics.104.038810

  39. 39.

    McKenna A. Hanna M. Banks E. Sivachenko A. Cibulskis K., 2010 The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 20: 1297–1303.

    Not in our library10.1101/gr.107524.110

  40. 40.

    McVean G. A. T., 2002 A genealogical interpretation of linkage disequilibrium. Genetics 162: 987–991.

    Not in our library10.1093/genetics/162.2.987

All 49 references

Cited by papers we hold 4

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.