期刊
SYSTEMATIC BIOLOGY
卷 67, 期 4, 页码 700-718出版社
OXFORD UNIV PRESS
DOI: 10.1093/sysbio/syy004
关键词
Antbird; hybridization; migration; multispecies coalescent; Myrmoborus lugubris
资金
- FAPESP [BIOTA] [2012/50260-6, 2013/50297-0]
- NSF [DOB 1343578]
- NASA
- CNPq [310593/2009-3, 574008/2008-0, 563236/2010-8, 471342/2011-4, 310880/2012-2, 458311/2013-8, 303713/2015-1]
- FAPESPA [ICAAF 023/2011]
- CAPES
- FAPESP [2014/00113-2, 2015/12551-7, 2011/50143-7, 2011/23155-4]
- NASA through the Dimensions of Biodiversity Program [DOB 1343578]
- National Science Foundation [DEB-1253710]
- Direct For Biological Sciences
- Division Of Environmental Biology [1253710] Funding Source: National Science Foundation
- Division Of Environmental Biology
- Direct For Biological Sciences [1343578] Funding Source: National Science Foundation
Before populations become independent evolutionary lineages, the effects of micro evolutionary processes tend to generate complex scenarios of diversification that may affect phylogenetic reconstruction. Not accounting for gene flow in species tree estimates can directly impact topology, effective population sizes and branch lengths, and the resulting estimation errors are still poorly understood in wild populations. In this study, we used an integrative approach, including sequence capture of ultra-conserved elements (UCEs), mtDNA Sanger sequencing and morphological data to investigate species limits and phylogenetic relationships in face of gene flow in an Amazonian endemic species (Myrmoborus lugubris: Aves). We used commonly implemented species tree and model-based approaches to understand the potential effects of gene flow in phylogenetic reconstructions. The genetic structure observed was congruent with the four recognized subspecies of M. lugubris. Morphological and UCEs data supported the presence of a wide hybrid zone between M. l. femininus from the Madeira river and M. l. lugubris from theMiddle and lowerAmazon river, whichwere recovered as sister taxa by species tree methods. When fitting gene flowinto simulated demographic models with different topologies, the best-fit model indicated these two taxa as non-sister lineages, a finding that is in agreement with the results of mitochondrial and morphological analyses. Our results demonstrated that failing to account for gene flowwhen estimating phylogenies at shallowdivergence levels can generate topological uncertainty, which can nevertheless be statistically well supported, and that model testing approaches using simulated data can be useful tools to test alternative phylogenetic hypotheses.
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