Complex constraints on allometry revealed by artificial selection on the wing of Drosophila melanogaster

Proceedings of the National Academy of Sciences of the United States of America

Volumn 112, Issue 43, 2015, Pages 13284-13289

  Bolstad, Geir H ^a,b,c   Cassara, Jason A ^c   Márquez, Eladio ^c   Hansen, Thomas F ^c   Van Der Linde, Kim ^d   Houle, David ^c   Pélabon, Christophe ^d  

^a NORWEGIAN INSTITUTE FOR NATURE RESEARCH   (Norway)

^b NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^c FLORIDA STATE UNIVERSITY   (United States)

^d UNIVERSITY OF OSLO   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ALLOMETRY; ARTICLE; ARTIFICIAL SELECTION; CONTROLLED STUDY; DROSOPHILA MELANOGASTER; EVOLUTION; FEMALE; FORELIMB; GENE LINKAGE DISEQUILIBRIUM; GENETIC TRAIT; LARVAL DEVELOPMENT; MALE; NONHUMAN; PLEIOTROPY; PRIORITY JOURNAL; ANATOMY AND HISTOLOGY; ANIMAL; BIOLOGICAL MODEL; BODY SIZE; COMPARATIVE STUDY; GENETIC SELECTION; GENETICS; GROWTH, DEVELOPMENT AND AGING; PHENOTYPE; SELECTIVE BREEDING; WING;

ANIMALS; BIOLOGICAL EVOLUTION; BODY SIZE; DROSOPHILA MELANOGASTER; MODELS, GENETIC; PHENOTYPE; SELECTION, GENETIC; SELECTIVE BREEDING; WINGS, ANIMAL;

EID: 84945407186     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1505357112     Document Type: Article

References (52)

1. Charnov EL (1993) Life History Invariants (Oxford Univ Press, New York).
2. Schmidt-Nielsen K (1984) Scaling: Why Is Animal Size So Important? (Cambridge Univ Press, Cambridge, UK).
3. West GB, Brown JH, Enquist BJ (1997) A general model for the origin of allometric scaling laws in biology. Science 276(5309):122-126.
4. Brown JH, West GB (2000) Scaling in Biology (Oxford Univ Press, Oxford).
5. Huxley JS (1932) Problems of Relative Growth (MacVeagh, New York).
6. Voje KL, Hansen TF, Egset CK, Bolstad GH, Pélabon C (2014) Allometric constraints and the evolution of allometry. Evolution 68(3):866-885.
7. Gould SJ (1966) Allometry and size in ontogeny and phylogeny. Biol Rev Camb Philos Soc 41(4):587-640.
8. Bradshaw AD (1991) The Croonian Lecture, 1991. Genostasis and the limits to evolution. Philos Trans R Soc Lond B Biol Sci 333(1267):289-305.
9. Björklund M (1996) The importance of evolutionary constraints in ecological time scales. Evol Ecol 10(4):423-431.
10. Schluter D (2000) The Ecology of Adaptive Radiation (Oxford Univ Press, Oxford).
11. Arnold SJ, Pfrender ME, Jones AG (2001) The adaptive landscape as a conceptual bridge between micro-And macroevolution. Genetica 112-113:9-32.
12. Hansen TF, Houle D (2004) Evolvability, stabilizing selection, and the problem of stasis. Phenotypic Integration: Studying the Ecology and Evolution of Complex Phenotypes, eds Pigliucci M, Preston K (Oxford Univ Press, Oxford), pp 130-150.
13. Brakefield PM, Roskam JC (2006) Exploring evolutionary constraints is a task for an integrative evolutionary biology. Am Nat 168(6):S4-S13.
14. Polly PD (2008) Developmental dynamics and G-matrices: Can morphometric spaces be used to model phenotypic evolution? Evol Biol 35(2):83-96.
15. Futuyma DJ (2010) Evolutionary constraint and ecological consequences. Evolution 64(7):1865-1884.
16. Hansen TF (2012) Adaptive landscapes and macroevolutionary dynamics. The Adaptive Landscape in Evolutionary Biology, eds Svensson EI, Calsbeek R (Oxford Univ Press, Oxford), pp 205-226.
17. Bolstad GH, et al. (2014) Genetic constraints predict evolutionary divergence in Dalechampia blossoms. Philos Trans R Soc Lond B Biol Sci 369(1649):20130255.
18. Simpson GG (1944) Tempo and Mode in Evolution (Colombia Univ Press, New York).
19. Rensch B (1959) Evolution Above the Species Level (Columbia Univ Press, New York).
20. Gould SJ, Lewontin RC (1979) The spandrels of San Marco and the Panglossian paradigm: A critique of the adaptationist programme. Proc R Soc Lond B Biol Sci 205(1161):581-598.
21. Huxley JS (1924) Constant differential growth-ratios and their significance. Nature 114(2877):895-896.
22. Cheverud JM (1982) Relationships among ontogenetic, static, and evolutionary allometry. Am J Phys Anthropol 59(2):139-149.
23. Pélabon C, et al. (2013) On the relationship between ontogenetic and static allometry. Am Nat 181(2):195-212.
24. Houle D, Pélabon C, Wagner GP, Hansen TF (2011) Measurement and meaning in biology. Q Rev Biol 86(1):3-34.
25. Hansen TF, Bartoszek K (2012) Interpreting the evolutionary regression: The interplay between observational and biological errors in phylogenetic comparative studies. Syst Biol 61(3):413-425.
26. Pélabon C, et al. (2014) Evolution of morphological allometry. Ann N Y Acad Sci 1320: 58-75.
27. Pavlicev M, Norgard EA, Fawcett GL, Cheverud JM (2011) Evolution of pleiotropy: Epistatic interaction pattern supports a mechanistic model underlying variation in genotype-phenotype map. J Exp Zoolog B Mol Dev Evol 316(5):371-385.
28. Tobler A, Nijhout HF (2010) Developmental constraints on the evolution of wing-body allometry in Manduca sexta. Evol Dev 12(6):592-600.
29. Egset CK, et al. (2012) Artificial selection on allometry: Change in elevation but not slope. J Evol Biol 25(5):938-948.
30. Frankino WA, Zwaan BJ, Stern DL, Brakefield PM (2005) Natural selection and developmental constraints in the evolution of allometries. Science 307(5710):718-720.
31. Frankino WA, Zwaan BJ, Stern DL, Brakefield PM (2007) Internal and external constraints in the evolution of morphological allometries in a butterfly. Evolution 61(12): 2958-2970.
32. Weber KE (1990) Selection on wing allometry in Drosophila melanogaster. Genetics 126(4):975-989.
33. Wilkinson GS (1993) Artificial sexual selection alters allometry in the stalk-eyed fly Cyrtodiopsis dalmanni (Diptera, Diopsidae). Genet Res 62(3):213-222.
34. Emlen DJ (1996) Artificial selection on horn length-body size allometry in the horned beetle Onthophagus acuminatus (Coleoptera: Scarabaeidae).
35. Okada K, Miyatake T (2009) Genetic correlations between weapons, body shape and fighting behaviour in the horned beetle Gnatocerus cornutus. Anim Behav 77(5): 1057-1065.
36. Hallgrímsson B, et al. (2009) Deciphering the palimpsest: Studying the relationship between morphological integration and phenotypic covariation. Evol Biol 36(4): 355-376.
37. Lynch M, Walsh B (1998) Genetics and Analysis of Quantitative Traits (Sinauer Assoc, Sunderland, MA).
38. Kirkpatrick M, Lande R (1989) The evolution of maternal characters. Evolution 43(3): 485-503.
39. Riedl R (1977) A systems-Analytical approach to macro-evolutionary phenomena. Q Rev Biol 52(4):351-370.
40. Riedl R (1978) Order in Living Organisms: A Systems Analysis of Evolution (Wiley, Brisbane, Australia).
41. van der Linde K, Houle D (2008) A supertree analysis and literature review of the genus Drosophila and closely related genera (Diptera, Drosophilidae). Insect Syst Evol 39(3):241-267.
42. van der Linde K, Houle D, Spicer GS, Steppan SJ (2010) A supermatrix-based molecular phylogeny of the family Drosophilidae. Genet Res 92(1):25-38.
43. Houle D, Mezey J, Galpern P, Carter A (2003) Automated measurement of Drosophila wings. BMC Evol Biol 3(1):25.
44. van der Linde K (2004-2013) Wings: Automated capture of Drosophila wing shape. Version 3.8. Available at bio.fsu.edu/dhoule/wings.html. Accessed 2013.
45. Mackay TFC, et al. (2012) The Drosophila melanogaster genetic reference panel. Nature 482(7384):173-178.
46. Lynch M (1991) Methods for the analysis of comparative data in evolutionary biology. Evolution 45(5):1065-1080.
47. Obbard DJ, et al. (2012) Estimating divergence dates and substitution rates in the Drosophila phylogeny. Mol Biol Evol 29(11):3459-3473.
48. Stillwell RC, Dworkin I, Shingleton AW, Frankino WA (2011) Experimental manipulation of body size to estimate morphological scaling relationships in Drosophila. J Vis Exp (56):e3162.
49. O'Grady PM (1999) Reevaluation of phylogeny in the Drosophila obscura species group based on combined analysis of nucleotide sequences. Mol Phylogenet Evol 12(2):124-139.
50. R Core Team (2013) R: A Language and Environment for Statistical Computing (R Found Stat Comput, Vienna).
51. Bates D, Maechler M, Bolker B, Walker S (2013) lme4: Linear mixed-effects models using Eigen and S4. R package version 1.0-5. Available at https://cran.r-project.org/web/packages/lme4/index.html. Accessed 2013.
52. Bates D, Vazquez AI (2013) pedigreemm: Pedigree-based mixed-effects models. R package version 0.3-1. Available at https://cran.r-project.org/web/packages/pedigreemm/index.html. Accessed 2013.