Assessment of genetic diversity and population structure of Eulaema nigrita (Hymenoptera: Apidae: Euglossini) as a factor of habitat type in Brazilian Atlantic forest fragments
Autor: | Clycie Aparecida da Silva Machado, Tiago Maurício Francoy, Claudineia Pereira Costa |
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Rok vydání: | 2021 |
Předmět: |
0106 biological sciences
0301 basic medicine education.field_of_study Genetic diversity Apidae Physiology Ecology fungi Population Biology biology.organism_classification 010603 evolutionary biology 01 natural sciences Euglossini 03 medical and health sciences 030104 developmental biology Habitat Structural Biology Abundance (ecology) Insect Science Genetic variation Microsatellite education Molecular Biology Ecology Evolution Behavior and Systematics |
Zdroj: | The Canadian Entomologist. 153:446-460 |
ISSN: | 1918-3240 0008-347X |
DOI: | 10.4039/tce.2021.19 |
Popis: | In many organisms, habitat affects ecological and genetic diversity and, for certain species, it is expected that a large population should have higher genetic diversity than a smaller population. We analysed the genetics of males of the orchid bee, Eulaema nigrita (Hymenoptera: Apidae) and examined the links between local abundance and habitat with genetic diversity. We also investigated the impact of landscape features on genetic population structure, through microsatellite and mitochondrial DNA analysis, among populations found across 700 km of Brazilian Atlantic forest fragments. We found that genetic variation was not a function of local abundance, but it correlated significantly with habitat. There was significant but low genetic differentiation among populations. We found a single mitochondrial DNA haplotype in all sequenced specimens, which may be widespread throughout the Atlantic forest. Our results reinforce the idea that orchid bees can fly long distances. High-dispersal capacity, together with insufficient time in eventual isolation, can directly contribute to the high degree of similarity among populations for this species, despite their wide geographical distribution. |
Databáze: | OpenAIRE |
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