Do Amaral, Fabio Raposo
Hickerson, Michael J.
Araujo-Silva, Lucas E.
Ribas, Camila C.
Miyaki, Cristina Y.
Número total de Autores: 8
Afiliação do(s) autor(es):
 Univ Sao Paulo, Dept Genet & Biol Evolut, Rua Matao 277, Sala 230, Cidade Univ, BR-05508090 Sao Paulo, SP - Brazil
 Univ Fed Sao Paulo, Lab Genet Evolut, Inst Ciencias Ambientais Quim & Farmaceut, Rua Prof Artur Riedel, BR-09972270 Diadema, SP - Brazil
 CUNY City Coll, Dept Biol, Marshak Sci Bldg, 160 Convent Ave, New York, NY 10031 - USA
 Museu Paraense Emilio Goeldi, Dept Ornitol, Caixa Postal 399, BR-66040170 Belem, PA - Brazil
 INPA, Coordenacao Biodiversidade, Ave Andre Araujo 2936, BR-69060001 Manaus, AM - Brazil
Número total de Afiliações: 5
Tipo de documento:
Citações Web of Science:
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. (AU)