Population Genetics of Daubenton's Bat (<i>Myotis daubentonii</i>) in the Archipelago Sea, SW Finland

Laine, Veronika N.; Lilley, Thomas M.; Norrdahl, Kai; Primmer, Craig R.

doi:10.5735/085.050.0505

Cited by 21 publications

(25 citation statements)

References 63 publications

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“…Altogether, the 82 faecal pellets examined clustered into 41 separate bat genotypes, of which 7 genotypes had been detected already during earlier studies (for example Laine et al . ; Lilley et al . , ; Vesterinen et al .…”

Section: Resultsmentioning

confidence: 99%

“…This population was chosen for the ease of sampling and the well-defined and restricted foraging area of the bats. This population has been monitored for several years (Lilley et al 2012Laine et al 2013;Vesterinen et al 2013;Veikkolainen et al 2014).…”

Section: Study Sitementioning

confidence: 99%

“…To assign each faecal pellet collected (n = 203) to a bat, we genotyped droppings using ten microsatellite loci. For this purpose, we adopted the markers and methods described by Laine et al (2013), with the following modifications: first, two microsatellite markers (E24 and D9 from Castella & Ruedi 2000) did not produce interpretable results, and were omitted from the final analysis, and second, three X-chromosome-linked markers (Mcart, Paur03 and Nlgn) were added to increase the accuracy of individual sexing. Faecal pellets producing no results were removed from subsequent analysis.…”

Section: Metabarcodingmentioning

confidence: 99%

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What you need is what you eat? Prey selection by the batMyotis daubentonii

et al. 2016

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Optimal foraging theory predicts that predators are selective when faced with abundant prey, but become less picky when prey gets sparse. Insectivorous bats in temperate regions are faced with the challenge of building up fat reserves vital for hibernation during a period of decreasing arthropod abundances. According to optimal foraging theory, prehibernating bats should adopt a less selective feeding behavior--yet empirical studies have revealed many apparently generalized species to be composed of specialist individuals. Targeting the diet of the bat Myotis daubentonii, we used a combination of molecular techniques to test for seasonal changes in prey selectivity and individual-level variation in prey preferences. DNA metabarcoding was used to characterize both the prey contents of bat droppings and the insect community available as prey. To test for dietary differences among M. daubentonii individuals, we used ten microsatellite loci to assign droppings to individual bats. The comparison between consumed and available prey revealed a preference for certain prey items regardless of availability. Nonbiting midges (Chironomidae) remained the most highly consumed prey at all times, despite a significant increase in the availability of black flies (Simuliidae) towards the end of the season. The bats sampled showed no evidence of individual specialization in dietary preferences. Overall, our approach offers little support for optimal foraging theory. Thus, it shows how novel combinations of genetic markers can be used to test general theory, targeting patterns at both the level of prey communities and individual predators.

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Section: Resultsmentioning

confidence: 99%

Section: Study Sitementioning

confidence: 99%

Section: Metabarcodingmentioning

confidence: 99%

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What you need is what you eat? Prey selection by the batMyotis daubentonii

et al. 2016

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“…Of the 13 species of bats occurring in Finland, the species sampled here represent the most common and accessible ( Myotis daubentonii , Eptesicus nilssonii , M. brandtii , M. mystacinus , and Plecotus auritus ). Based on both the Finnish Biodiversity Information Facility (http://www.laji.fi) databases and our own bat sampling, spanning for more than 10 years, these bat species constitute approximately 90%–98% of all bat occurrences in Finland, and have been the focus of most bat research in Finland so far (Jakava‐Viljanen, Lilley, Kyheröinen, & Huovilainen, ; Laine, Lilley, Norrdahl, & Primmer, ; Lilley et al, ; Lilley, Stauffer, Kanerva, & Eeva, ; Lilley, Veikkolainen, & Pulliainen, ; Veikkolainen, Vesterinen, Lilley, & Pulliainen, ).…”

Section: Methodsmentioning

confidence: 99%

“…Based on both the Finnish Biodiversity Information Facility (www. laji.fi) databases and our own bat sampling, spanning for more than 10 years, these bat species constitute approximately 90%-98% of all bat occurrences in Finland, and have been the focus of most bat research in Finland so far (Jakava-Viljanen, Lilley, Kyheröinen, & Huovilainen, 2010;Laine, Lilley, Norrdahl, & Primmer, 2013;Lilley et al, 2013;Lilley, Stauffer, Kanerva, & Eeva, 2014;Lilley, Veikkolainen, & Pulliainen, 2015;Veikkolainen, Vesterinen, Lilley, & Pulliainen, 2014).…”

Section: Study Speciesmentioning

confidence: 99%

Table for five, please: Dietary partitioning in boreal bats

Vesterinen

Puisto

Blomberg

et al. 2018

Ecology and Evolution

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Differences in diet can explain resource partitioning in apparently similar, sympatric species. Here, we analyzed 1,252 fecal droppings from five species (Eptesicus nilssonii, Myotis brandtii, M. daubentonii, M. mystacinus, and Plecotus auritus) to reveal their dietary niches using fecal DNA metabarcoding. We identified nearly 550 prey species in 13 arthropod orders. Two main orders (Diptera and Lepidoptera) formed the majority of the diet for all species, constituting roughly 80%–90% of the diet. All five species had different dietary assemblages. We also found significant differences in the size of prey species between the bat species. Our results on diet composition remain mostly unchanged when using either read counts as a proxy for quantitative diet or presence–absence data, indicating a strong biological pattern. We conclude that although bats share major components in their ecology (nocturnal life style, insectivory, and echolocation), species differ in feeding behavior, suggesting bats may have distinctive evolutionary strategies. Diet analysis helps illuminate life history traits of various species, adding to sparse ecological knowledge, which can be utilized in conservation planning.

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Daubenton’s Bat Myotis daubentonii (Kuhl, 1817)

Encarnação,

Becker

2023

Handbook of the Mammals of Europe

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Population Genetics of Daubenton's Bat (Myotis daubentonii) in the Archipelago Sea, SW Finland

Cited by 21 publications

References 63 publications

What you need is what you eat? Prey selection by the batMyotis daubentonii

What you need is what you eat? Prey selection by the batMyotis daubentonii

Table for five, please: Dietary partitioning in boreal bats

Daubenton’s Bat Myotis daubentonii (Kuhl, 1817)

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