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Landscape heterogeneity predicts gene flow in a widespread polymorphic bumble bee, Bombus bifarius (Hymenoptera: Apidae)

Lozier, Jeffrey D., Strange, James P., Koch, Jonathan B.·2013·Conservation Genetics
DOI 10.1007/s10592-013-0498-3
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Abstract

Bombus bifarius is a widespread bumble bee that occurs in montane regions of western North America. This species has several major color pattern polymorphisms and shows evidence of genetic structuring among regional populations, and the taxonomic status of regional populations has repeatedly been debated. We test whether observed structure is evidence for discrete gene flow barriers that might indicate isolation or instead reflects clinal variation associated with spatially limited dispersal in a complex landscape. We first consider color pattern variation and identify geographical patterns of B. bifarius color variation using cluster analysis. We then use climate data and a comprehensive set of B. bifarius natural history records with an existing genetic data set to model the distribution of environmentally suitable habitat in western North America and predict pathways of potential gene flow using circuit theory. Resistance distances among populations that incorporate environmental suitability information predict patterns of genetic structure much better than geographic distance or Bayesian clustering alone. Results suggest that there may not be barriers to gene flow warranting further taxonomic considerations, but rather that the arrangement of suitable habitat at broad scales limits dispersal sufficiently to explain observed levels of population differentiation in B. bifarius.

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  • In the context of ecosystem services, circuit theory has been used to examine the landscape genetic structure and movements of pollinators, especially bees, in response to habitat and land-use changes.

    “In the context of ecosystem services, circuit theory has been used to examine the landscape genetic structure and movements of pollinators, especially bees, in response to habitat and land-use changes (e.g., Goulson et al. 2011; Lander et al. 2013; Lozier et al. 2013; Jaffe et al. 2016a, 2016b).”

    From Circuit‐theory applications to connectivity science and conservation (2019) · cites this paper as Lozier et al. 2013

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Research works printed but not linked: 72

  1. Abellán P, Arribas P, Svenning J-C (2011) Geological habitat template overrides late quaternary climate change as a determinant of range dynamics and phylogeography in some habitat-specialist water beetles. J Biogeogr 39:970–983 · DOI
  2. Aldridge G, Inouye DW, Forrest JRK, Barr WA, Miller-Rushing AJ (2011) Emergence of a mid-season period of low floral resources in a montane meadow ecosystem associated with climate change. J Ecol 99:905–913 · DOI
  3. Apodaca JJ, Rissler LJ, Godwin JC (2012) Population structure and gene flow in a heavily disturbed habitat: implications for the management of the imperilled Red Hills salamander (Phaeognathus hubrichti). Cons Gen 13:913–923 · DOI
  4. Balkenhol N, Waits LP, Dezzani RJ (2009) Statistical approaches in landscape genetics: an evaluation of methods for linking landscape and genetic data. Ecography 32:818–830 · DOI
  5. Bartomeus I, Ascher JS, Wagner D, Danforth BN, Colla S, Kornbluth S, Winfree R (2011) Climate-associated phenological advances in bee pollinators and bee-pollinated plants. P Natl Acad Sci-Biol 108:20654–20659 · DOI
  6. Cameron SA, Lozier JD, Strange JP, Koch JB, Cordes N, Solter LF, Griswold TL (2011) Patterns of widespread decline in North American bumble bees. P Natl Acad Sci-Biol 108:662–667 · DOI
  7. Carolan JC, Murray TE, Fitzpatrick Ú, Crossley J, Schmidt H, Cederberg B, McNally L, Paxton RJ, Williams PH, Brown MJF (2012) Colour patterns do not diagnose species: quantitative evaluation of a DNA barcoded cryptic bumblebee complex. PLoS One 7:e29251 · DOI
  8. Chan LM, Brown JL, Yoder AD (2011) Integrating statistical genetic and geospatial methods brings new power to phylogeography. Mol phylogenet evol 59:523–537 · DOI
  9. Cushman SA, Landguth EL (2010) Spurious correlations and inference in landscape genetics. Mol Ecol 19:3592–3602 · DOI
  10. Cushman SA, McKelvey KS, Hayden J, Schwartz MK (2006) Gene flow in complex landscapes: testing multiple hypotheses with causal modeling. Am Nat 168:486–499 · DOI · Paper page
  11. Darvill B, O’Connor S, Lye GC, Waters J, Lepais O, Goulson D (2010) Cryptic differences in dispersal lead to differential sensitivity to habitat fragmentation in two bumblebee species. Mol Ecol 19:53–63 · DOI
  12. Davis AK, Cope N, Smith A, Solensky MJ (2007) Wing color predicts future mating success in male Monarch butterflies. Ann Entomol Soc Am 100:339–344 · DOI
  13. Devitt TJ, Devitt SEC, Hollingsworth BD, McGuire JA, Moritz C (2013) Montane refugia predict population genetic structure in the Large-blotched Ensatina salamander. Mol Ecol online early. doi: 10.1111/mec.12196 · DOI
  14. Duennes MA, Lozier JD, Hines HM, Cameron SA (2012) Geographical patterns of genetic divergence in the widespread Mesoamerican bumble bee Bombus ephippiatus (Hymenoptera: Apidae). Mol Phyl Evol 64:219–231 · DOI
  15. Elith J, Leathwick JR (2009) Species distribution models: ecological explanation and prediction across space and time. Ann Rev Ecol Evol S 40:677–697 · DOI · Paper page
  16. Elith J, Phillips SJ, Hastie T, Dudík M, Chee YE, Yates CJ (2010) A statistical explanation of MaxEnt for ecologists. Divers Distrib 17:43–57 · DOI · Paper page
  17. Estoup A, Soignac M, Cornuet JM, Goudet J, Scholl A (1996) Genetic differentiation of continental and island populations of Bombus terrestris (hymenoptera: apidae) in Europe. Mol Ecol 5:19–31 · DOI
  18. Falush D, Stephens M, Pritchard JK (2003) Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics 164:1567–1587 · DOI
  19. Foll M, Gaggiotti O (2006) Identifying the environmental factors that determine the genetic structure of populations. Genetics 174:875–891 · DOI
  20. Frantz AC, Cellina S, Krier A, Schley L, Burke T (2009) Using spatial Bayesian methods to determine the genetic structure of a continuously distributed population: clusters or isolation by distance? J Appl Ecol 46:493–505 · DOI
  21. Gaggiotti OE, Foll M (2010) Quantifying population structure using the F-model. Mol Ecol Res 10:821–830 · DOI
  22. Goslee SC, Urban DL (2007) The ecodist package for dissimilarity-based analysis of ecological data. J Stat Softw 22:1–19 · DOI
  23. Goulson D (2010) Impacts of non-native bumblebees in Western Europe and North America. Appl Entomol Zool 45:7–12 · DOI
  24. Goulson D, Lepais O, O’Connor S, Osborne JL, Sanderson RA, Cussans J, Goffe L et al (2010) Effects of land use at a landscape scale on bumblebee nest density and survival. J Appl Ecol 47:1207–1215 · DOI
  25. Goulson D, Kaden JC, Lepais O, Lye GC, Darvill B (2011) Population structure, dispersal and colonization history of the garden bumblebee Bombus hortorum in the Western Isles of Scotland. Conserv Genet 12:867–879 · DOI · Paper page
  26. Guillot G (2005) Geneland: a computer package for landscape genetics. Mol Ecol Notes 5:712–715 · DOI
  27. Guillot G, Leblois R, Coulon A, Frantz AC (2009) Statistical methods in spatial genetics. Mol Ecol 18:4734–4756 · DOI
  28. Harder LD (1986) Influences on the density and dispersion of bumble bee nests (Hymenoptera: Apidae). Ecography 9:99–103 · DOI
  29. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965–1978 · DOI
  30. Hill JK, Griffiths HM, Thomas CD (2010) Climate change and evolutionary adaptations at species’ range margins. Ann Rev Entomol 56:143–159 · DOI
  31. Hutchison DW, Templeton AR (1999) Correlation of pairwise genetic and geographic distance measures: Inferring the relative influences of gene flow and drift on the distribution of genetic variability. Evolution 53:1898 · DOI
  32. Jha S, Kremen C (2013) Urban land use limits regional bumble bee gene flow. Mol Ecol 22:2483–2495 In press · DOI
  33. Jiggins CD, Naisbit RE, Coe RL, Mallet J (2001) Reproductive isolation caused by colour pattern mimicry. Nature 411:302–305 · DOI
  34. Jost L (2008) GST and its relatives do not measure differentiation. Mol Ecol 17:4015–4026 · DOI · Paper page
  35. Knight ME, Osborne JL, Sanderson RA, Hale RJ, Martin AP, Goulson D (2009) Bumblebee nest density and the scale of available forage in arable landscapes. Insect Conserv Diver 2:116–124 · DOI
  36. Koch JB, Strange JP (2009) Constructing a species database and historic range maps for North American bumble bees (Bombus sensu stricto Latreille) to inform conservation decisions. Uludag Bee Journal 9:97–108
  37. Landguth EL, Fedy BC, Oyler-McCance SJ, Garey AL, Emel SL, Mumma M, Wagner HH, Fortin M-J, Cushman SA (2011) Effects of sample size, number of markers, and allelic richness on the detection of spatial genetic pattern. Mol Ecol Res 12:276–284 · DOI
  38. Latch EK, Dharmarajan G, Glaubitz JC, Rhodes OE (2006) Relative performance of Bayesian clustering software for inferring population substructure and individual assignment at low levels of population differentiation. Cons Gen 7:295–302 · DOI
  39. Leaché AD (2011) Multi-locus estimates of population structure and migration in a fence lizard hybrid zone. PLoS ONE 6:e25827. doi: 10.1371/journal.pone.0025827 · DOI
  40. Legendre P, Fortin M-J (2010) Comparison of the Mantel test and alternative approaches for detecting complex multivariate relationships in the spatial analysis of genetic data. Mol Ecol Res 10:831–844 · DOI
  41. Lozier JD, Strange JP, Stewart IJ, Cameron SA (2011) Patterns of range-wide genetic variation in six North American bumble bee (Apidae: Bombus) species. Mol Ecol 23:4870–4888 · DOI
  42. Manel S, Schwartz MK, Luikart G, Taberlet P (2003) Landscape genetics: combining landscape ecology and population genetics. Trends in Ecol Evol 18:189–197 · DOI · Paper page
  43. McCain CM, Colwell RK (2011) Assessing the threat to montane biodiversity from discordant shifts in temperature and precipitation in a changing climate. Ecol Lett 14:1236–1245 · DOI
  44. McRae BH, Beier P (2007) Circuit theory predicts gene flow in plant and animal populations. P Natl Acad Sci-Biol 104:19885–19890 · DOI · Paper page
  45. Murphy MA, Evans JS, Storfer A (2010) Quantifying Bufo boreas connectivity in Yellowstone National Park with landscape genetics. Ecology 91:252–261 · DOI
  46. Orozco-terWengel P, Corander J, Schlötterer C (2011) Genealogical lineage sorting leads to significant, but incorrect Bayesian multilocus inference of population structure. Mol Ecol 20:1108–1121 · DOI
  47. Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecol Model 190:231–259 · DOI · Paper page
  48. Rasmont P, Coppée A, Michez D, De Meulemeester T (2008) An overview of the Bombus terrestris (L. 1758) subspecies (Hymenoptera: Apidae). Ann Soc Entomol Fr 44:243–250 · DOI
  49. Raufaste N, Rousset F (2001) Are partial Mantel tests adequate? Evolution 55:1703–1705 · DOI
  50. Rissler L, Apodaca J (2007) Adding more ecology into species delimitation: ecological niche models and phylogeography help define cryptic species in the black salamander (Aneides flavipunctatus). Syst Biol 56:924–942 · DOI
  51. Rousset F (1997) Genetic differentiation and estimation of gene flow from F-statistics under isolation by distance. Genetics 145:1219–1228 · DOI
  52. Rousset F (2008) genepop’007: a complete re-implementation of the genepop software for Windows and Linux. Mol Ecol Res 8:103–106 · DOI
  53. Sakagami SF (1976) Specific differences in the bionomic characters of bumblebees. A comparative review. Jour Fac Sci Hokkaido Univ Seri VI, Zool 20:390–447
  54. Schwartz MK, Copeland JP, Anderson NJ, Squires JR, Inman RM, Mckelvey KS, Pilgrim KL, Waits LP, Cushman SA (2009) Wolverine Gene Flow across a Narrow Climatic Niche. Ecology 90:3222–3232 · DOI · Paper page
  55. Shah VB McRae BH (2008) Circuitscape: a tool for landscape ecology. Proceedings of the 7th Python in Science Conference (SciPy 2008):62–65
  56. Slatkin M (1993) Isolation by distance in equilibrium and non-equilibrium populations. Evolution 47:264–279 · DOI
  57. Stephen WP (1957) Bumble Bees of Western America (Hymenoptera: Apoidea). Technical Bulletin 40, Agricultural Experiment Station, Oregon State College, Corvallis, OR, USA
  58. Storfer A, Murphy MA, Evans JS, Goldberg CS, Robinson S, Spear SF, Dezzani R, Delmelle E, Vierling L, Waits LP (2007) Putting the “landscape” in landscape genetics. Heredity 98:128–142 · DOI
  59. Storfer A, Murphy MA, Spear SF, Holderegger R, Waits LP (2010) Landscape genetics: where are we now? Mol Ecol 19:3496–3514 · DOI
  60. Strange JP (2010) Nest initiation in three North American bumble bees (Bombus): gyne number and presence of honey bee workers influence establishment success and colony size. J Insect Sci 10:1–11 · DOI
  61. Thorp RW, Horning DSJ, Dunning LL (1983) Bumble bees and cuckoo bumble bees of California. Bulletin of the California Insect Survey 23. University of California Press, Berkeley CA
  62. Viereck HL, Cockerell TDA, Titus ESG, Crawford JC Jr, Swenk MH (1904) Synopsis of bees of Oregon. Washington and Vancouver. Can Entomol 36(4):93–100 · DOI
  63. Warren DL (2012) In defense of “niche modeling”. Trends Ecol Evol 27:497–500 · DOI
  64. Wasserman TN, Cushman SA, Schwartz MK, Wallin DO (2010) Spatial scaling and multi-model inference in landscape genetics: Martes americana in northern Idaho. Landscape Ecol 25:1601–1612 · DOI
  65. Widmer A, Schmid-Hempel P (1999) The population genetic structure of a large temperate pollinator species, Bombus pascuorum (Scopoli) (Hymenoptera: Apidae). Mol Ecol 8:387–398 · DOI
  66. Widmer A, Schmid-Hempel P, Estoup A, Scholl A (1998) Population genetic structure and colonization history of Bombus terrestris s.l. (Hymenoptera: Apidae) from the Canary Islands and Madeira. Heredity 81:563–572 · DOI
  67. Williams PH (1986) Environmental change and the distributions of British bumble bees (Bombus Latr.). Bee World 67:50–61 · DOI
  68. Williams P (2007) The distribution of bumblebee colour patterns worldwide: possible significance for thermoregulation, crypsis, and warning mimicry. Biol J Linn Soc 92:97–118 · DOI
  69. Williams PH, Osborne JL (2009) Bumblebee vulnerability and conservation world-wide. Apidologie 40:367–387 · DOI
  70. Williams PH, Brown MJF, Carolan JC, An J, Goulson D et al (2012a) Unveiling cryptic species of the bumblebee subgenus Bombus s. str. worldwide with COI barcodes (Hymenoptera: Apidae). Syst Biodivers 10:21–56 · DOI
  71. Williams PH, An J, Brown MJF, Carolan JC, Goulson D, Huang J, Ito M (2012b) Cryptic bumblebee species: consequences for conservation and the trade in greenhouse pollinators. PLoS ONE 7:e32992 · DOI
  72. Wilson RJ, Gutiérrez D, Gutiérrez J, Martínez D, Agudo R, Monserrat VJ (2005) Changes to the elevational limits and extent of species ranges associated with climate change. Ecol Lett 8(11):1138–1146 · DOI

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Metadata

Authors
Lozier, J. D., Strange, J. P., & Koch, J. B.
Venue
Conservation Genetics
Publisher
Springer Science and Business Media LLC
Published
2013-05-26
Volume
14
Issue
5
Pages
1099-1110
ISSN
  • 1566-0621
  • 1572-9737
DOI
10.1007/s10592-013-0498-3
Cited by
61
References
2
Language
en
Licence
www.springer.com/tdm (tdm)

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