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276 results for “Myotis myotis”
Figures 4–5 in Redescription of Myotis atacamensis (Chiroptera: Vespertilionidae) with neotype designation
Figures 4–5. Dorsal (4) and ventral (5) views of the skin of the neotype of Myotis atacamensis (USNM 391786) from Atacama Desert, Tarapacá, Chile. Photos by Melissa Hawkins.
Figure 8 in Redescription of Myotis atacamensis (Chiroptera: Vespertilionidae) with neotype designation
Figure 8. Occurrence of Myotis atacamensis, including the new type-locality (red star); records by museum specimens (red circles); and records obtained from the literature (yellow circles – Rodríguez-San Pedro et al. 2014, 2015, 2020).
Figures 6–7 in Redescription of Myotis atacamensis (Chiroptera: Vespertilionidae) with neotype designation
Figures 6–7. Details of tricolored dorsal fur (6) and bicolored ventral fur (7) of Myotis atacamensis (MVZ 116638).
Figures 1–3 in Redescription of Myotis atacamensis (Chiroptera: Vespertilionidae) with neotype designation
Figures 1–3. Ventral (1), dorsal (2), and lateral (3) views of the skull, and lateral view of the mandible of the neotype of Myotis atacamensis (USNM 391786) from Atacama Desert, Tarapacá, Chile. Scale bar = 10 mm. Photos by Melissa Hawkins.
Data from: Diversification rates have no effect on the convergent evolution of foraging strategies in the most speciose genus of bats, Myotis
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Data and code from: A multifaceted approach reveals complex genomic mediation of white-nose syndrome resistance in the little brown bat (<em>Myotis lucifugus</em>)
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APPENDIX 2 in A new dichromatic species of Myotis (Chiroptera: Vespertilionidae) from the Nimba Mountains, Guinea
APPENDIX 2 continued
APPENDIX 2 in A new dichromatic species of Myotis (Chiroptera: Vespertilionidae) from the Nimba Mountains, Guinea
APPENDIX 2 continued
APPENDIX 2 in A new dichromatic species of Myotis (Chiroptera: Vespertilionidae) from the Nimba Mountains, Guinea
APPENDIX 2 continued
Drivers of longitudinal telomere dynamics in the long-lived bat species, Myotis myotis
<p>Age related telomere shortening is considered a hallmark of the ageing process. <a name="_Hlk10395680">However, a recent cross-sectional ageing study of relative telomere length (rTL) in bats failed to detect a relationship between rTL and age in the long-lived genus <i>Myotis</i> (<i>M. myotis</i> and <i>M. bechsteinii</i>), suggesting some other factors are responsible for driving telomere dynamics in these species</a>. Here, we test if longitudinal rTL data show signatures of age-associated telomere attrition in <i>M. myotis</i> and differentiate which intrinsic or extrinsic factors are likely to drive telomere length dynamics.<a name="_Hlk30419416"> </a><a name="_Hlk26682824"></a><a name="_Hlk14445670">Using qPCR, rTL was measured in 504 samples from a marked population, from Brittany, France</a>, captured between 2013 and 2016. These represent 174 individuals with an age range of 0 to 7+ years. We find no significant relationship between rTL and age (<i>p</i> = 0.762), but demonstrate that within-individual rTL is highly variable from year to year. To investigate the heritability of rTL, a population pedigree (n=1744) was constructed from genotype data generated from a 16 microsatellite multiplex, designed from an initial, low coverage, Illumina genome for <i>M. myotis</i>. Heritability was estimated in a Bayesian, mixed model framework, and showed that little of the observed variance in rTL <a name="_Hlk513597000">is heritable (<i>h<sup>2</sup>= </i>0.06 – 0.01)</a>. Rather, correlations of first differences, correlating yearly changes in telomere length and weather variables, demonstrate that, during the spring transition, average temperature, minimum temperature, rainfall and windspeed correlate with changes in longitudinal telomere dynamics. <a name="_Hlk10396857">As such, rTL may represent a useful biomarker to quantify the physiological impact of various environmental stressors in bats.</a></p>
Myotis myotis baseline trajectory
<p>Myotis myotis baseline trajectory Myotis myotis baseline trajectory x(t), y(t), z(t)</p>
Fig. 1 in Helminth communities of two populations of Myotis chiloensis (Chiroptera: Vespertilionidae) from Argentinean Patagonia
Fig. 1. Location of the sampling sites in the province of Río Negro, Argentina.
Fig. 1 in The Subspecies Of Myotis Montivagus - Taxonomic Revision And Species Limits (Mammalia: Chiroptera: Vespertilionidae)
Fig. 1. Measuringpointsoftheanteorbitalbridge (AOB).
Little brown myotis social networks
<p>Bats are a group of mammals well known for forming dynamic social groups. Studies of bat social structures are often based upon the frequency at which bats occupy the same roosts because observing bats directly is not always possible. However, it is not always clear how closely bats occupying the same roost associate with each other, obscuring whether associations result from social relationships or factors such as shared preferences for roosts. Our goal was to determine if bats cohabitating buildings were also found together inside roosts by using anti-collision technology for PIT tags, which enables simultaneous detection of multiple tags. We PIT-tagged 293 female little brown myotis (<i>Myotis lucifugus</i>) and installed antennas within two buildings used as maternity roosts in Yellowstone National Park. Antennas were positioned at roost entryways to generate cohabitation networks and along regions of attic ceilings in each building to generate intra-roost networks based on proximity of bats to each other. We found that intra-roost and cohabitation networks of buildings were significantly correlated, with the same bats tending to be linked in both networks, but that bats cohabitating the same building often roosted apart, leading to differing assessments of social structure. Cohabitation rates implied that bats associate with a greater number of their roost-mates than was supported by observations within the roost. This caused social networks built upon roost cohabitation rates to be denser, smaller in diameter, and contain nodes with higher average degree centrality. These results show that roost cohabitation does not reflect preference for roost-mates in little brown myotis, as is often inferred from similar studies, and that social network analyses based on cohabitation may provide misleading results.</p>
Code and source data for the paper: Global warming leads to larger bats with a faster life history pace in the long-lived Bechstein's bat (Myotis bechsteinii)
<p>Contains two R scripts necessary to perfom the analysis for the paper "Global warming leads to a faster life history pace in the long-lived Bechstein’s bat (Myotis bechsteinii)"</p> <ul> <li>1st Script (" Script_analysis paper_bodysize_AFR_fecundity_LRS_GAMs_revised": Descriptive statistics, calculation of all GAMs and code for figure 1, 2 and 3</li> <li>2nd Script (" Script_size specific generation times"): Calculation of reproductive and mortality rates, calculation of generation time and population growth rates (lambda) as well as code for figure 4 and 5</li> </ul> <p>And also .csv files with the data points of all figures.</p>
Active season body mass patterns of Little Brown Bats and Northern Myotis: Raw and fitted mass values, environmental conditions and inflection point estimates
<p><span>Animals are expected to adjust their behavioural patterns to improve fitness outcomes, such as fecundity or offspring survival. For long-lived hibernators, decisions made in each annual cycle may reflect considerations not just for concurrent survival and reproduction, but also the pressure to maximize overwinter survival and future reproductive success. We examined how these elements manifest themselves in the body mass variation patterns of North American northern latitude temperate bats, whose size and roosting habits present considerable monitoring challenges. We characterized and compared the summer and fall mass variation patterns of little brown myotis (<em>Myotis lucifugus</em>) and northern myotis (<em>M. septentrionalis</em></span><span>) from a historic dataset. In summer, the estimated date of parturition was strongly associated with spring foraging conditions (low wind, low precipitation, warm temperatures), and mass gain associated with female reproduction conferred considerable differentiation between the mass variation patterns of females and males. In fall, differences were most apparent among species, although adults exhibited a greater capacity for rapid mass gain than juveniles. These results demonstrate how reproductive constraints and interannual survival have important influences on the behaviour of temperate bats. Future work should seek to quantify the fitness benefits of patterns identified in this study, such as the rate of prehibernation mass gain.</span></p>
Figure 2 in C-Heterochromatin and nucleolus organizer region distribution of Myotis emarginatus (Chiroptera: Vespertilionidae) from Turkey
Figure 2. Standard karyotype of Myotis emarginatus in Turkey.
Figure 3. C in C-Heterochromatin and nucleolus organizer region distribution of Myotis emarginatus (Chiroptera: Vespertilionidae) from Turkey
Figure 3. C-banded karyotype of Myotis emarginatus in Turkey.
Figure 4 in C-Heterochromatin and nucleolus organizer region distribution of Myotis emarginatus (Chiroptera: Vespertilionidae) from Turkey
Figure 4. Silver-stained karyotype of Myotis emarginatus in Turkey.
Appendix 1 in On the distribution and taxonomy of bats of the Myotis mystacinus morphogroup from the Caucasus region (Chiroptera: Vespertilionidae)
<p><b>Appendix 1.</b> (Continued).</p><table><tbody><tr><th></th><th></th><th></th><th>Slovakia</th><th>Boťany, Trebišov Dist.</th><th>48°28′N, 22°07′E</th><th>NMP 94586</th></tr></tbody><tbody><tr><th>hap24</th><td>KU060277</td><td><i>M. alcathoe</i></td><td>Bulgaria</td><td>Gorna Breznica, Blagoevgrad Prov.</td><td>41°45′N, 23°07′E</td><td>NMP 48344</td></tr><tr><th>hap25</th><td>KU060274</td><td><i>M. alcathoe</i></td><td>Bulgaria</td><td>Malko Târnovo, Burgas Prov.</td><td>42°00′N, 27°31′E</td><td>Biopsy</td></tr><tr><th>hap26</th><td>KU060275</td><td><i>M. alcathoe</i></td><td>Bulgaria</td><td>Kaleto Cave, Mladežko, Burgas Prov.</td><td>42°09′N, 27°21′E</td><td>Biopsy</td></tr><tr><th>hap27</th><td>KU060280</td><td><i>M.</i> cf. <i>alcathoe</i></td><td>Russia</td><td>Utriš Peninsula, Krasnodar Prov.</td><td>44°47′N, 37°24′E</td><td>NMP 95306</td></tr><tr><th>hap28</th><td>KU060278</td><td><i>M.</i> cf. <i>alcathoe</i></td><td>Russia</td><td>Psekabs River, Thamaha, Krasnodar Prov.</td><td>44°39′N, 38°54′E</td><td>NMP 95307</td></tr><tr><th></th><td></td><td></td><td>Russia</td><td>Bol’šaâ Fanagorijskaâ Cave, Fanagorijskoe, Krasnodar Prov.</td><td>44°28′N, 38°59′E</td><td>NMP 95309</td></tr><tr><th></th><td></td><td></td><td>Russia</td><td>Gebeus Mt., Gešebs, Krasnodar Prov.</td><td>44°23′N, 38°36′E</td><td>NMP 95313</td></tr><tr><th></th><td></td><td></td><td>Russia</td><td>Gebeus Mt., Gešebs, Krasnodar Prov.</td><td>44°23′N, 38°36′E</td><td>NMP 95314</td></tr><tr><th></th><td></td><td></td><td>Russia</td><td>Gebeus Mt., Gešebs, Krasnodar Prov.</td><td>44°23′N, 38°36′E</td><td>NMP 95315</td></tr><tr><th></th><td></td><td></td><td>Russia</td><td>Gebeus Mt., Gešebs, Krasnodar Prov.</td><td>44°23′N, 38°36′E</td><td>NMP 95316</td></tr><tr><th></th><td></td><td></td><td>Russia</td><td>Gebeus Mt., Gešebs, Krasnodar Prov.</td><td>44°23′N, 38°36′E</td><td>NMP 95317</td></tr><tr><th></th><td></td><td></td><td>Russia</td><td>Bol’šaâ Fanagorijskaâ Cave, Fanagorijskoe, Krasnodar Prov.</td><td>44°28′N, 38°59′E</td><td>NMP 95325</td></tr><tr><th></th><td></td><td></td><td>Russia</td><td>Bol’šaâ Fanagorijskaâ Cave, Fanagorijskoe, Krasnodar Prov.</td><td>44°28′N, 38°59′E</td><td>NMP 95326</td></tr><tr><th></th><td></td><td></td><td>Russia</td><td>Bol’šaâ Fanagorijskaâ Cave, Fanagorijskoe, Krasnodar Prov.</td><td>44°28′N, 38°59′E</td><td>NMP 95327</td></tr><tr><th></th><td></td><td></td><td>Russia</td><td>Bol’šaâ Fanagorijskaâ Cave, Fanagorijskoe, Krasnodar Prov.</td><td>44°28′N, 38°59′E</td><td>NMP 95328</td></tr><tr><th></th><td></td><td></td><td>Russia</td><td>Aše, Krasnodar Prov.</td><td>43°58′N, 39°16′E</td><td>NMP 95329</td></tr><tr><th></th><td></td><td></td><td>Russia</td><td>Tahira Cave, Kalež, Krasnodar Prov.</td><td>44°01′N, 39°21′E</td><td>NMP 95331</td></tr><tr><th></th><td></td><td></td><td>Russia</td><td>Utriš Peninsula, Krasnodar Prov.</td><td>44°47′N, 37°24′E</td><td>Biopsy</td></tr><tr><th></th><td></td><td></td><td>Russia</td><td>Utriš Peninsula, Krasnodar Prov.</td><td>44°47′N, 37°24′E</td><td>Biopsy</td></tr><tr><th>hap29</th><td>KU060279</td><td><i>M.</i> cf. <i>alcathoe</i></td><td>Russia</td><td>Psekabs River, Thamaha, Krasnodar Prov.</td><td>44°39′N, 38°54′E</td><td>NMP 95312</td></tr><tr><th></th><td></td><td></td><td>Russia</td><td>Bol’šaâ Fanagorijskaâ Cave, Fanagorijskoe, Krasnodar Prov.</td><td>44°28′N, 38°59′E</td><td>NMP 95324</td></tr></tbody></table>
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