| Full text | |
| Author(s): Show less - |
Dantas, Gisele P. M.
[1, 2]
;
Oliveira, Larissa R.
[3]
;
Santos, Amanda M.
[4]
;
Flores, Mariana D.
[4]
;
de Melo, Daniella R.
[2]
;
Simeone, Alejandro
[5]
;
Gonzalez-Acuna, Daniel
[6]
;
Luna-Jorquera, Guillermo
[7]
;
Le Bohec, Celine
[8, 9, 10]
;
Valdes-Velasquez, Armando
[11, 12]
;
Cardena, Marco
[13]
;
Morgante, Joao S.
[1]
;
Vianna, Juliana A.
[14]
Total Authors: 13
|
| Affiliation: Show less - | [1] Univ Sao Paulo, Inst Biol, Sao Paulo - Brazil
[2] Pontificia Univ Catolica Minas Gerais, PPG Biol Vertebrados, Belo Horizonte, MG - Brazil
[3] Univ Vale Rio dos Sinos UNISINOS, Sao Leopoldo, RS - Brazil
[4] Univ Fed Minas Gerais, Belo Horizonte, MG - Brazil
[5] Univ Andres Bello, Fac Ecol & Recursos Nat, Santiago - Chile
[6] Univ Concepcion, Fac Ciencias Vet, Chillan - Chile
[7] Univ Catolica Norte, Fac Ciencias Mar, Dept Biol Marina, Coquimbo - Chile
[8] Univ Strasbourg, CNRS, Strasbourg - France
[9] IPHC, Strasbourg - France
[10] CSM, Dept Biol Polaire, Principality Of Monaco - Monaco
[11] Univ Cayetano Heredia, CIDIS, Lima - Peru
[12] Univ Cayetano Heredia, Fac Ciencias & Filosofia, Lima - Peru
[13] Univ Peruana Cayetano Heredia, Programa Punta San Juan CSA UPCH, Lima - Peru
[14] Pontificia Univ Catolica Chile, Fac Agron & Ingn Forestal, Dept Ecosistemas & Medio Ambiente, Santiago - Chile
Total Affiliations: 14
|
| Document type: | Journal article |
| Source: | PLoS One; v. 14, n. 5 MAY 10 2019. |
| Web of Science Citations: | 0 |
| Abstract | |
The upwelling hypothesis has been proposed to explain reduced or lack of population structure in seabird species specialized in food resources available at cold-water upwellings. However, population genetic structure may be challenging to detect in species with large population sizes, since variation in allele frequencies are more robust under genetic drift. High gene flow among populations, that can be constant or pulses of migration in a short period, may also decrease power of algorithms to detect genetic structure. Penguin species usually have large population sizes, high migratory ability but philopatric behavior, and recent investigations debate the existence of subtle population structure for some species not detected before. Previous study on Humboldt penguins found lack of population genetic structure for colonies of Punta San Juan and from South Chile. Here, we used mtDNA and nuclear markers (10 microsatellites and RAG1 intron) to evaluate population structure for 11 main breeding colonies of Humboldt penguins, covering the whole spatial distribution of this species. Although mtDNA failed to detect population structure, microsatellite loci and nuclear intron detected population structure along its latitudinal distribution. Microsatellite showed significant R-st values between most of pairwise locations (44 of 56 locations, R-st = 0.003 to 0.081) and 86% of individuals were assigned to their sampled colony, suggesting philopatry. STRUCTURE detected three main genetic clusters according to geographical locations: i) Peru; ii) North of Chile; and iii) Central-South of Chile. The Humboldt penguin shows signal population expansion after the Last Glacial Maximum (LGM), suggesting that the genetic structure of the species is a result of population dynamics and foraging colder water upwelling that favor gene flow and phylopatric rate. Our findings thus highlight that variable markers and wide sampling along the species distribution are crucial to better understand genetic population structure in animals with high dispersal ability. (AU) | |
| FAPESP's process: | 09/08624-8 - South american penguins as a model in genetic conservation study: genetic variability, phylogeography and climatics change |
| Grantee: | João Stenghel Morgante |
| Support Opportunities: | Regular Research Grants |