Literature DB >> 33323954

Genome-wide genetic variation coupled with demographic and ecological niche modeling of the dusky-footed woodrat (Neotoma fuscipes) reveal patterns of deep divergence and widespread Holocene expansion across northern California.

Robert A Boria1, Sarah K Brown2,3, Marjorie D Matocq4, Jessica L Blois2.   

Abstract

Understanding how species have responded to past climate change may help refine projections of how species and biotic communities will respond to future change. Here, we integrate estimates of genome-wide genetic variation with demographic and niche modeling to investigate the historical biogeography of an important ecological engineer: the dusky-footed woodrat, Neotoma fuscipes. We use RADseq to generate a genome-wide dataset for 71 individuals from across the geographic distribution of the species in California. We estimate population structure using several model-based methods and infer the demographic history of regional populations using a site frequency spectrum-based approach. Additionally, we use ecological niche modeling to infer current and past (Last Glacial Maximum) environmental suitability across the species' distribution. Finally, we estimate the directionality and possible spatial origins of regional population expansions. Our analyses indicate this species is subdivided into three regionally distinct populations, with the deepest divergence occurring ~1.7 million years ago across the modern-day San Francisco-Bay Delta region; a common biogeographic barrier for the flora and fauna of California. Our models of environmental suitability through time coincide with our estimates of population expansion, with relative long-term stability in the southern portion of the range, and more recent expansion into the northern end of the range. Our study illustrates how the integration of genome-wide data with spatial and demographic modeling can reveal the timing and spatial extent of historic events that determine patterns of biotic diversity and may help predict biotic response to future change.

Entities:  

Mesh:

Year:  2020        PMID: 33323954      PMCID: PMC8027862          DOI: 10.1038/s41437-020-00393-7

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  52 in total

1.  Global climate evolution during the last deglaciation.

Authors:  Peter U Clark; Jeremy D Shakun; Paul A Baker; Patrick J Bartlein; Simon Brewer; Ed Brook; Anders E Carlson; Hai Cheng; Darrell S Kaufman; Zhengyu Liu; Thomas M Marchitto; Alan C Mix; Carrie Morrill; Bette L Otto-Bliesner; Katharina Pahnke; James M Russell; Cathy Whitlock; Jess F Adkins; Jessica L Blois; Jorie Clark; Steven M Colman; William B Curry; Ben P Flower; Feng He; Thomas C Johnson; Jean Lynch-Stieglitz; Vera Markgraf; Jerry McManus; Jerry X Mitrovica; Patricio I Moreno; John W Williams
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-13       Impact factor: 11.205

2.  Stability predicts genetic diversity in the Brazilian Atlantic forest hotspot.

Authors:  Ana Carolina Carnaval; Michael J Hickerson; Célio F B Haddad; Miguel T Rodrigues; Craig Moritz
Journal:  Science       Date:  2009-02-06       Impact factor: 47.728

Review 3.  Biodiversity and Topographic Complexity: Modern and Geohistorical Perspectives.

Authors:  Catherine Badgley; Tara M Smiley; Rebecca Terry; Edward B Davis; Larisa R G DeSantis; David L Fox; Samantha S B Hopkins; Tereza Jezkova; Marjorie D Matocq; Nick Matzke; Jenny L McGuire; Andreas Mulch; Brett R Riddle; V Louise Roth; Joshua X Samuels; Caroline A E Strömberg; Brian J Yanites
Journal:  Trends Ecol Evol       Date:  2017-02-11       Impact factor: 17.712

4.  Fast model-based estimation of ancestry in unrelated individuals.

Authors:  David H Alexander; John Novembre; Kenneth Lange
Journal:  Genome Res       Date:  2009-07-31       Impact factor: 9.043

5.  Asynchronous demographic responses to Pleistocene climate change in Eastern Nearctic vertebrates.

Authors:  Frank T Burbrink; Yvonne L Chan; Edward A Myers; Sara Ruane; Brian Tilston Smith; Michael J Hickerson
Journal:  Ecol Lett       Date:  2016-10-25       Impact factor: 9.492

6.  ThetaMater: Bayesian estimation of population size parameter θ from genomic data.

Authors:  Richard H Adams; Drew R Schield; Daren C Card; Andrew Corbin; Todd A Castoe
Journal:  Bioinformatics       Date:  2018-03-15       Impact factor: 6.937

7.  Genetic structure, introgression, and a narrow hybrid zone between northern and California spotted owls (Strix occidentalis).

Authors:  G F Barrowclough; J G Groth; L A Mertz; R J Gutiérrez
Journal:  Mol Ecol       Date:  2005-04       Impact factor: 6.185

8.  Small mammal diversity loss in response to late-Pleistocene climatic change.

Authors:  Jessica L Blois; Jenny L McGuire; Elizabeth A Hadly
Journal:  Nature       Date:  2010-05-23       Impact factor: 49.962

9.  Stacks: an analysis tool set for population genomics.

Authors:  Julian Catchen; Paul A Hohenlohe; Susan Bassham; Angel Amores; William A Cresko
Journal:  Mol Ecol       Date:  2013-05-24       Impact factor: 6.185

10.  The variant call format and VCFtools.

Authors:  Petr Danecek; Adam Auton; Goncalo Abecasis; Cornelis A Albers; Eric Banks; Mark A DePristo; Robert E Handsaker; Gerton Lunter; Gabor T Marth; Stephen T Sherry; Gilean McVean; Richard Durbin
Journal:  Bioinformatics       Date:  2011-06-07       Impact factor: 6.937

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  1 in total

1.  Reevaluation of the phylogenetic relationships among Neotomini rodents (Hodomys, Neotoma, and Xenomys) and comments on the woodrat classification.

Authors:  Robert D Bradley; Cody W Edwards; Laramie L Lindsey; Joanna R Bateman; Maria N B Cajimat; Mary L Milazzo; Charles F Fulhorst; Marjorie D Matocq; Matthew R Mauldin
Journal:  J Mammal       Date:  2022-04-14       Impact factor: 2.291

  1 in total

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