Commentary |
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Corresponding author: Nelson Colihueque ( ncolih@ulagos.cl ) Academic editor: Ana Maria Leal-Zanchet
© 2019 Nelson Colihueque, Alberto Gantz.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Colihueque N, Gantz A (2019) Molecular genetic studies of Chilean avifauna: an overview about current progress Estudos genéticos moleculares da avifauna Chilena: uma visão geral sobre o progresso atual. Neotropical Biology and Conservation 14(4): 459-477. https://doi.org/10.3897/neotropical.14.e48588
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The biodiversity of Chilean avifauna has been shaped by geological events, geographical factors and extreme climatic regimens. Molecular genetic studies developed to date have begun to provide valuable information to elucidate the effect of these factors on the evolutionary history of Chilean birds. We conducted a search in two bibliographic databases (PubMed and Scopus) over the period between 1998 and 2018 to identify the number and class of articles published in this research field. The quantification of specific research categories was also performed to assess progress in different molecular genetic issues of Chilean birds. Representative studies of the more active research areas: population structure, phylogeography, systematics and taxonomy and genetic diversity, were briefly commented on. Studies on genetic divergence analysis of cryptic species and the underlying genetics at molecular level of adaptive phenotypes in populations, were very scarce. Several types of mitochondrial and nuclear markers have been used, with COI plus D-loop and microsatellite loci, respectively, being the most widely-used markers. However, high-throughput analyses based on complete mitochondrial genomes have also been published. More than one hundred species have been analyzed; the most studied groups being penguins, followed by New World swallows. Although, to date, molecular genetic studies of Chilean birds still require further analysis, the studies available on some species or groups have provided important data to improve our understanding of the origin and evolution of this avifauna.
A biodiversidade da avifauna Chilena foi moldada por eventos geológicos, fatores geográficos e regimes climáticos extremos. Estudos genéticos moleculares desenvolvidos até o momento começaram a fornecer informações valiosas para elucidar o efeito desses fatores sobre a história evolutiva das aves chilenas. Foi realizada uma busca em duas bases de dados bibliográficas (PubMed e Scopus) ao longo do período entre 1998 e 2018 para identificar o número e a classe de artigos publicados neste campo de pesquisa. A quantificação de categorias específicas de pesquisa também foi realizada para avaliar o progresso em diferentes problemas genéticos moleculares. Estudos representativos das áreas de pesquisa mais ativas: estrutura populacional, filogeografia, sistemática e taxonomia e diversidade genética, foram brevemente comentados. Estudos sobre divergência genética de espécies crípticas e genética de populações em nível molecular de fenótipos adaptativos, foram muito escassos. Diversos tipos de marcadores mitocondriais e nucleares têm sido utilizados, sendo a COI mais D-loop e microssatélites, respectivamente, os mais utilizados. Não obstante, análises de alto rendimento baseadas em genomas mitocondriais completos também foram publicadas. Mais de cem espécies foram analisadas; os grupos mais estudados são os pinguins, seguidos pelas andorinhas do Novo Mundo. Embora, até o momento, estudos genéticos moleculares de aves chilenas ainda exijam mais análises, os trabalhos disponíveis sobre algumas espécies ou grupos forneceram dados importantes para melhorar nossa compreensão da origem e evolução desta avifauna.
Birds, Chilean avifauna, evolution, molecular markers
Avifauna chilena, evolução, marcadores moleculares genéticos, pássaros
The avifauna of Chile comprises more than 500 species, which inhabit different environments across the continental territory (17°S to 56°S), including the Antarctic peninsula and the oceanic islands (
However, molecular genetic studies, a well-recognized approach that can also contribute to resolving various problems, have received little attention. The taxonomic status of subspecies reported in these raptor birds (e.g., Geranoaetus polyosoma exsul and Accipiter bicolor chilensis), or the level of divergence among closely related species of caracara of the genus Phalcoboenus D’Orbigny, 1834 (
Taxonomic problems identified in raptor birds are also common to other Chilean birds. In fact,
Despite the limited genetic studies based on molecular genetic markers performed to date on Chilean birds, they have revealed their usefulness in assessing taxonomic problems, suggesting more efforts that should be carried out to contribute further data. In addition, these studies have also provided valuable information to elucidate the effect of different factors, such as geographic isolation and geological events that have driven the evolutionary history of these birds. These phenomena have resulted in a particular pattern of biodiversity, represented by depleted species richness and a high level of endemism (
Thus, to address the progress of molecular genetic studies in Chilean birds, we briefly comment on some representative studies that reveal how they contribute significantly to progress on these issues, based on the analysis of the more active research categories that include population structure, phylogeography, systematics and taxonomy and genetic diversity. In addition, analyses of genetic divergence and phylogeny of cryptic Patagonian birds were conducted to explore the level of interspecific divergence present in these birds and the usefulness of molecular genetic markers to unequivocally identify the species.
In order to consider the number and class of articles published on the topic of molecular genetics of Chilean birds, we conducted a search in PubMed and Scopus databases using a set of appropriate search terms. To construct the reference list, we used the following search terms: [bird] OR [aves] AND [Chile] AND [genetic] OR [karyotype] OR [chromosome] AND NOT [disease] AND NOT [parasite] OR [parasitology] AND NOT [virus] OR [virology) AND NOT [isolate] AND NOT [poultry] OR [livestock] AND NOT [chicken]. Then the result was refined by limiting them to term [molecular]. The Search process was performed in Title, Abstract and Keywords fields.
Articles were classified into categories of research according to the criteria of
Pairwise genetic divergence analyses among species within genera of cryptic Patagonia birds were performed on the Kimura 2-parameter distance model (K2P) (
Phylogenetic analysis of cryptic Patagonian birds was carried out using the Maximum Likelihood (ML) approach. The best-fit nucleotide substitution model was selected using Akaike’s information criterion (AIC). The best model was then used with the ML analyses to construct a ML tree using MEGA 5.05 software (
The search allowed us to recover 31 articles on this subject over the period between 1998 and 2018 (Table
Molecular genetic studies of Chilean birds published over the period 1998–2018.
| No. | Objective | Research category | No. of species | Genetic marker*, probe or genome | Reference |
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| 1. | Evolution and history analysis of species of hummingbirds (Sephanoides fernandensis and S. sephanoides) | Systematics and taxonomy | 2 | mtDNA Cyt b and ND2 markers |
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| 2. | Molecular systematic analysis of Pteroptochos (P. castaneus, P. tarnii, and P. megapodius) | Systematics and taxonomy | 3 | mtDNA COII and ND3 markers |
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| 3. | Phylogenetic analysis for all Anairetes species | Systematics and taxonomy | 6 | mtDNA ND2 and Cyt b markers |
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| 4. | Genetic divergence analysis of Andean condor (Vultur gryphus) populations | Genetic diversity | 1 | mtDNA D-loop and 12S markers |
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| 5. | Characterization of microsatellite loci in Humboldt penguin (Spheniscus humboldti) and cross-amplification in other penguin species | Markers | 1 | Microsatellite loci markers |
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| 6. | Genetic divergence of populations of Wandering (Diomedea exulans) and Black-browed (Thalassarche melanophrys) Albatross | Phylogeography | 2 | mtDNA D-loop marker |
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| 7. | Chromosome structures of Falconinae by painting to assess chromosome rearrangements | Cytogenetics | 3 | Chicken chromosomes 1–9 and Z probes, and microchromosomes, 18S-28S rDNA and telomeric probes |
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| 8. | Isolation of microsatellite loci in the burrowing parrot (Cyanoliseus patagonus) | Markers | 1 | Microsatellite loci markers |
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| 9. | Hybridization analysis between the Humboldt (Spheniscus humboldti) and magellanic (S. magellanicus) penguins | Parentage and kinship (hybridization) | 2 | RFLPs marker based on mtDNA ND2 gene |
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| 10. | Genetic variation in Thorn-tailed Rayadito (Aphrastura spinicauda) | Genetic diversity | 1 | mtDNA Cyt b and ISSR genomic fingerprint markers |
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| 11. | Genetic structure of the South American burrowing parrot (Cyanoliseus patagonus) | Population structure and phylogeography | 1 | mtDNA COI, Cyt b and ATPase 6/8 markers |
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| 12. | Phylogeny of nine species of Tachycineta of New World swallows based on complete mitochondrial genomes | Systematics and taxonomy (include signature of selection) | 9 | mtDNA genome |
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| 13. | Genetic divergence of four species of steamer ducks of Tachyeres | Systematics and taxonomy | 4 | mtDNA D-loop and ND2 and nuclear ENO1, ODC1, MB and CHD1Z markers |
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| 14. | Genetic interaction between an endangered Chilean woodstar (Eulidia yarrellii) and a recently-arrived Peruvian sheartail (Thaumastura cora) hummingbirds | Parentage and kinship (hybridization) | 2 | mtDNA ND2 and COI and nuclear βfibint7, AK1int5 and microsatellite markers |
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| 15. | Genetic divergence between insular and continental populations of six species of sheldgeese (Chloephaga rubidiceps, C. picta, C. melanoptera, C. poliocephala, C. leucoptera and C. hybrida) | Population structure | 6 | mtDNA D-loop marker |
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| 16. | Phylogenetic analysis of the Masafuera Rayadito (Aphrastura masafuerae) | Systematics and taxonomy | 1 | mtDNA COI marker | González 2014 |
| 17. | Demographic history and population structure of Gentoo penguin (Pygoscelis papua) | Population structure | 1 | mtDNA HVRI and nuclear βfibint7 markers |
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| 18. | Phylogenetic analysis of Chilean Flamingo (Phoenicopterus chilensis) | Systematics and taxonomy | 1 | mtDNA COI, ND2 and D-loop and ten nuclear markers |
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| 19. | Genetic variation of co-distributed species of Phrygilus from the Central Andes | Population structure and phylogeography | 6 | mtDNA COI and D-loop and nuclear Fib5 markers |
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| 20. | Genetic divergence of the Common Barn Owl (Tyto alba) and the Short-eared Owl (Asio flammeus) from southern Chile | Systematics and taxonomy | 2 | mtDNA COI marker |
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| 21. | Geographical and climatic heterogeneity in the population structure of the burrowing parrots (Cyanoliseus patagonus) | Landscapes genetics | 1 | Microsatellite markers |
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| 22. | Comparative genomic analysis of bird species | Others (Gene evolution) | 24 | α- and β-globin gene families |
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| 23. | Local dispersal and fine-scale genetic structure studies in the thorn-tailed rayadito (Aphrastura spinicauda) | Population structure | 1 | microsatellite loci markers |
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| 24. | Genetic structure and phylogenetic analyses in Gentoo penguins (Pygoscelis papua) | Population structure and Systematics and taxonomy | 1 | mtDNA HVRI and microsatellite loci markers |
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| 25. | Mitochondrial genome sequencing of the Neotropic cormorant (Phalacrocorax brasilianus) | Method | 1 | mtDNA genome |
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| 26. | Population genetic structure and demography analyses of the Magellanic Penguin (Spheniscus magellanicus) | Population structure | 1 | mtDNA D-loop and microsatellite markers |
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| 27. | Diversification analysis of putative Eudyptes species: rockhopper (E. filholi, E. chrysocome, and E. moseleyi), macaroni (E. chrysolophus) and royal penguins (E. schlegeli) | Population structure and phylogeography | 5 | mtDNA HVRI and COI and nuclear ODC and AK1 markers |
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| 28. | Chromosomal analysis in Columbidae species regarding 11 distinct microsatellite sequences and clusters of 18S rDNA to assess chromosomal rearrangements | Cytogenetics | 9 | microsatellite and 18S rDNA probes |
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| 29. | Phylogeography and population history analyses of the Correndera Pipit (Anthus correndera) | Phylogeography | 1 | mtDNA ND2 and sex-linked ACOI9 markers |
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| 30. | Connectivity, sex-biased dispersal, diversity, genetic structure and demographic history analyses of chinstrap penguins (Pygoscelis antarctica) | Population structure | 1 | mtDNA HVRI and microsatellite loci markers |
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| 31. | Genetic variation analysis of mitogenomes in ten penguin species belonging to Spheniscus, Pygoscelis, Eudyptula, Eudyptes and Aptenodytes | Genetic diversity (include signature of selection) | 10 | mtDNA genome markers (ND6, tRNAs and protein coding genes) |
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In this respect,
Another interesting study that addressed the issue of the population structure and phylogeography of Chilean birds is the report of Alvares-Varas et al. (2015). In this study, by using the COI genetic marker, they found great intrageneric divergence in closely related species of Phrygilus CABANIS, 1844, a complex of six species distributed mainly in central and northern Chile. This divergence pattern appears to be related to the marked phylogeographic structure of these species, since it was associated with the broad altitudinal and latitudinal distribution of these species across the Andean mountains. For instance, some species of this group, such as P. alaudinus (Kittlitz, 1833), P. atriceps (D’Orbigny & Lafresnaye, 1837), and P. unicolor (D’Orbigny & Lafresnaye, 1837), showed genetic differentiation mediated by allopatric mechanisms in response to specific geographic barriers, which reveals that allopatric events acted as a major factor in the population differentiation of Phrygilus species. In addition, this study showed no relationship between geographic range size and genetic structure in Phrygilus species. For example, P. unicolor, P. alaudinus and P. gayi, which have broad geographic distributions, showed a pattern of genetic variation similar to P. atriceps (Gervais, 1834), the species with the most restricted geographic distribution. This result contrasts with data published for other passerine birds widely distributed in America (e.g.,
Another noteworthy work on population structure and phylogeography was undertaken by
As was indicated above, issues on systematics and taxonomy are another research area within molecular genetic studies of Chilean birds that have been addressed in various articles. Among these, one study analyzed the taxonomic status of closely related species distributed in island and continental areas of Chile, an issue that to date remains largely uncertain for several birds. For example,
Analysis of genetic diversity among bird populations and its association with geological events or geographic barriers (e.g., Andes mountains), which are phenomena typical of Chile, is another issue addressed in some articles. For example, by using the inter-simple-sequence-repeats and the cytochrome b markers, González and Wink (2010) have found that glaciation processes, a climatic phenomenon that occurred during the Last Glacial Maximum 21,000–14,000 years ago, may have impacted the genetic structure of the Thorn-tailed Rayadito, Aphrastura spinicauda (Gmelin, 1789). This notion is based on the finding that within this species, populations currently inhabiting palaeorefuge sites (e.g., Mocha Island) show greater genetic variation than populations located in regions that were covered by ice sheets. After the glaciation event, the population of palaeorefuge sites probably has diversified by genetic drift during colonization of new environments, a process that may explain their current broad distribution in continental areas of the country. Likewise, in the Andean Condor Vultur gryphus (Linnaeus, 1758), a typical highland bird that presents a wide distribution range throughout the Andes mountains of South America, the genetic divergence analysis within and among population using the D-loop and the 12S markers, showed a low level of genetic variability, even lower than for most other birds analyzed for these loci (
Studies analyzing the genetic diversity in cryptic birds distributed in Chile are scarce. Nevertheless this is an interesting issue given that several species present from incipient to full speciation, accompanied by weak morphological differentiation.
Examples of cryptic Patagonian birds showing their morphological similarities. A–C: goose species Chloephaga poliocephala (A), Chloephaga rubidiceps (B) and Chloephaga picta (male on the left and female on the right) (C); D–F: oystercatcher species Haematopus palliatus (D), Haematopus leucopodus (E) and Haematopus ater (F), showing a uniform morphology with red, long and strong peaks; G–I: steamer duck species (female on the left and male on the right) Tachyeres patachonicus (G), Tachyeres pteneres (H) and Tachyeres brachypterus (I), with minimal differences in color pattern at beak and head regions; T. pteneres has shorter wings than T. patachonicus due to its flightless condition.
Pairwise genetic divergence analysis within genera of cryptic Patagonian birds. A–C: Chloephaga (A), Haematopus (B) and Tachyeres (C). Dashed black line indicates the level of intraspecific differentiation within each genus, whereas dashed red line shows threshold value (2.4%) suggested as a reference value for the interspecific differentiation of the temperate birds of southern South America, according to
Phylogenetic analysis of cryptic Patagonian birds. A–C: Chloephaga (A), Haematopus (B) and Tachyeres (C). In the phylogenetic trees accession numbers of the sequences for each specimen (in parentheses) and the bootstrap support (above 50%) for each node are indicated. Sequences recovered from BOLD and Genbank databases are indicated by one and two asterisks, respectively. The branch lengths are drawn proportional to the relative amount of evolutionary change. Tinamus major was used as an outgroup. Scale indicates the sequence divergence estimated.
Genetic diversity data can be an important source of information to understand how selection operates at gene level, when species or populations are under natural selection regimens during their adaptation to environmental conditions. With this aim, the study of markers derived from coding genes, including their regulatory mechanism, is required, since variation in neutral molecular genetic markers (e.g. microsatellite loci) cannot provide direct information on selective processes involved in the interaction among individuals and their environment. This type of analysis contributes to clarifying the underlying genetics of adaptive phenotypes in natural populations (Höglung, 2009). In birds, genetic molecular data have been analyzed to assess the action of natural selection mainly in association with geographic isolation, as this factor can affect the evolution of organisms, as has been documented in different bird species (
In conclusion, a bibliographic analysis of articles published between 1998 and 2018 on the topic of molecular genetics in Chilean birds indicates that over 30 articles of this class were published during this period. The articles focused mainly on research areas related to population structure, phylogeography, systematics and taxonomy and genetic diversity. Mitochondrial DNA D-loop and Cyt b markers along with microsatellite loci were the most widely used markers, while penguins were the most studied taxa in terms of number of species analyzed and articles published. These molecular genetic analyses have contributed to improving our understanding of the evolutionary history of some species and bird groups, which, according to this evidence, seems to have been shaped by geological events, geographical factors or extreme climatic regimens. For example, the population genetic structure and phylogeographic analysis of the burrowing parrot (Cyanoliseus patagonus), a typical bird of the semi-arid zones of north-central Chile, indicates that geographical barriers (i.e., Andean mountains) may have constituted an important dispersal factor of this species across southern South America, affecting the way in which populations have diverged though time. A second example is the Gentoo penguin (Pygoscelis papua), common to the Antarctic Peninsula and sub-Antarctic islands, where genetic data reflect a highly structured species, a genetic pattern that appears to be related to its dispersal capacity around the Southern Ocean that is mostly limited by the Antarctic Polar Front. A third example is the complex of closely related species of Phrygilus, a bird group distributed mainly in central and northern Chile. In this case, genetic data indicate the existence of high levels of intrageneric divergence, whose origin appears to be related to the marked phylogeographic structure of these species and the effect of geographic barriers (e.g. the Andean mountains) acting as a major factor in the differentiation of these species. The use of molecular genetic analysis to address issues related to the taxonomic status of different birds has also been useful, as occurred with hummingbirds from the Juan Fernández Islands (Sephanoides fernandensis) and the barn owl (Tyto alba). In addition, the complete genomes analysis of some bird groups was also carried out. For example, the study of the mitochondrial genome in penguins has provided important evidence on the existence of signatures of selection in several genes of this genome. This class of analysis may be useful in future studies on other bird groups from Chile, to better understand how adaptation to the environment operates at the molecular level.
The suggestions and constructive comments of all those who helped to improve the final version of this manuscript are gratefully acknowledged, particularly to the editor and the anonymous reviewers for their efforts that greatly improved the quality and clarity of the work. We would like to thank the following people for collaborating with the photographs of Patagonian birds included in Figure