Evolutionary history of the Kelp Gull (Larus dominicanus) in the southern hemisphere supported by multilocus evidence

Santos, Fernanda de Almeida; Morgante, João Stenghel; Frere, Esteban; Millones, Ana; Sander, Martin; Vianna, Juliana A.; Dantas, Giovana

doi:10.1007/s10336-016-1355-1

Cited by 5 publications

(3 citation statements)

References 40 publications

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“…This is the first genetic study to include freshwater Kelp Gull colonies from Patagonia, and we find that those from Nahuel Huapi Lake are genetically differentiated from their closest coastal Atlantic and Pacific counterparts. Previous studies on Kelp Gulls have found genetic structure both at a South American continental scale [22][23][24] and among populations along the Argentine coast [16]. Particularly, Lyons et al [16] found some level of differentiation among the most geographically distant colonies in their study, as expected from a pattern of isolation by distance with gradually diminishing connectivity with distance along the Argentine coast.…”

Section: Discussionmentioning

confidence: 66%

“…Moreover, Herring Gull (Larus argentatus) populations from the Laurentian Great Lakes were found to be genetically distinct from their marine counterparts [19,20], supporting the idea that reproductive Herring Gulls from the Great Lakes region constitute a closed and isolated system [21]. Genetic studies in the Kelp Gull show different degrees of population structure depending on their geographic scale, over a background of demographic expansion during the Holocene [16,[22][23][24]. However, the resolution provided by the genetic tools employed (mitochondrial DNA and microsatellite markers) and the scope of the sampling, particularly in the Patagonian region, may be underpowered to detect fine-scale population differences and adequately understand population connectivity.…”

Section: Introductionmentioning

confidence: 84%

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Population structure and connectivity among coastal and freshwater Kelp Gull (Larus dominicanus) populations from Patagonia

Kasinsky,

Rosciano,

A. Vianna

et al. 2024

PLoS ONE

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The genetic identification of evolutionary significant units and information on their connectivity can be used to design effective management and conservation plans for species of concern. Despite having high dispersal capacity, several seabird species show population structure due to both abiotic and biotic barriers to gene flow. The Kelp Gull is the most abundant species of gull in the southern hemisphere. In Argentina it reproduces in both marine and freshwater environments, with more than 100,000 breeding pairs following a metapopulation dynamic across 140 colonies in the Atlantic coast of Patagonia. However, little is known about the demography and connectivity of inland populations. We aim to provide information on the connectivity of the largest freshwater colonies (those from Nahuel Huapi Lake) with the closest Pacific and Atlantic populations to evaluate if these freshwater colonies are receiving immigrants from the larger coastal populations. We sampled three geographic regions (Nahuel Huapi Lake and the Atlantic and Pacific coasts) and employed a reduced-representation genomic approach to genotype individuals for single-nucleotide polymorphisms (SNPs). Using clustering and phylogenetic analyses we found three genetic groups, each corresponding to one of our sampled regions. Individuals from marine environments are more closely related to each other than to those from Nahuel Huapi Lake, indicating that the latter population constitutes the first freshwater Kelp Gull colony to be identified as an evolutionary significant unit in Patagonia.

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Section: Discussionmentioning

confidence: 66%

Section: Introductionmentioning

confidence: 84%

Population structure and connectivity among coastal and freshwater Kelp Gull (Larus dominicanus) populations from Patagonia

Kasinsky,

Rosciano,

A. Vianna

et al. 2024

PLoS ONE

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“…The kelp gulls (Larus dominicanus) is a large-sized gull [11] that is widely distributed throughout South America, southern Africa, Australia, New Zealand, and Antarctica [12]. This gull is an opportunistic and generalist species that uses several types of anthropogenic food sources during the breeding and non-breeding seasons, and is considered a good monitor to track environmental changes [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Integrating Deep Learning into Genotoxicity Biomarker Detection for Avian Erythrocytes: A Case Study in a Hemispheric Seabird

Frixione,

Roffet,

Adami

et al. 2024

MCA

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Recently, nuclear abnormalities in avian erythrocytes have been used as biomarkers of genotoxicity in several species. Anomalous shapes are usually detected in the nuclei by means of microscopy inspection. However, due to inter- and intra-observer variability, the classification of these blood cell abnormalities could be problematic for replicating research. Deep learning, as a powerful image analysis technique, can be used in this context to improve standardization in identifying the biological configurations of medical and veterinary importance. In this study, we present a standardized deep learning model for identifying and classifying abnormal shapes in erythrocyte nuclei in blood smears of the hemispheric and synanthropic kelp gulls (Larus dominicanus). We trained three convolutional backbones (ResNet34, ResNet50, and ResNet101 architectures) to obtain models capable of detecting and classifying these abnormalities in blood cells. The analysis was performed at three discrimination levels of classification, with broad categories subdivided into increasingly specific subcategories (level 1: “normal”, “abnormal”, “other”; level 2: “normal”, “ENAs”, “micronucleus”, “other”; level 3: “normal”, “irregular”, “displaced”, “enucleated”, “micronucleus”, “other”). The results were more than adequate and very similar in levels 1 and 2 (F1-score 84.6% and 83.6%, and accuracy 83.9% and 82.6%). In level 3, performance was lower (F1-score 65.9% and accuracy 80.8%). It can be concluded that the level 2 analysis should be considered the most appropriate as it is more specific than level 1, with similar quality of performance. This method has proven to be a fast, efficient, and standardized approach that reduces the dependence on human supervision in the classification of nuclear abnormalities in avian erythrocytes, and can be adapted to be used in similar contexts with reduced effort.

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Evolutionary history of Kelp Gulls at the South Hemisphere

Linhares,

Frere,

Milliones

et al. 2023

J Ornithol

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Evolutionary history of the Kelp Gull (Larus dominicanus) in the southern hemisphere supported by multilocus evidence

Cited by 5 publications

References 40 publications

Population structure and connectivity among coastal and freshwater Kelp Gull (Larus dominicanus) populations from Patagonia

Population structure and connectivity among coastal and freshwater Kelp Gull (Larus dominicanus) populations from Patagonia

Integrating Deep Learning into Genotoxicity Biomarker Detection for Avian Erythrocytes: A Case Study in a Hemispheric Seabird

Evolutionary history of Kelp Gulls at the South Hemisphere

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