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Fig. 2. Misgolas thompsonae n in Trapdoor Spiders of the Genus Misgolas (Mygalomorphae: Idiopidae) from Eastern New South Wales, With Notes on Genetic Variation
Fig. 2. Misgolas thompsonae n.sp. A–H?, holotype AM KS36705: (A), right palp retrolateral. (B,C), right bulb: B, dorsal; C, prolateral. (D), venter. (E,F), right leg I: E, prolateral; F, retrolateral. (G,H), right leg II: G, prolateral; H, retrolateral.
Fig. 15. Misgolas raveni n in Trapdoor Spiders of the Genus Misgolas (Mygalomorphae: Idiopidae) from Eastern New South Wales, With Notes on Genetic Variation
Fig. 15. Misgolas raveni n.sp. A–G?, holotype AM KS50007: (A), right palp retrolateral. (B,C), right bulb: B, dorsal; C, prolateral. (D), right leg I prolateral. (E), right bifid apophysis prolateral. (F), right leg IV retrolateral. (G), venter.
Fig. 1. Misgolas mudfordae n in Trapdoor Spiders of the Genus Misgolas (Mygalomorphae: Idiopidae) from Eastern New South Wales, With Notes on Genetic Variation
Fig. 1. Misgolas mudfordae n.sp. A–J?, holotype AM KS50037: (A), right palp retrolateral. (B,C), right bulb: B, dorsal; C, prolateral. (D), venter. (E,F), right leg I: E, prolateral; F, retrolateral. (G,H), right leg II: G, prolateral; H, retrolateral. (I), right leg IV retrolateral. (J), carapace.
Fig. 23. Misgolas milledgei n in Trapdoor Spiders of the Genus Misgolas (Mygalomorphae: Idiopidae) from Eastern New South Wales, With Notes on Genetic Variation
Fig. 23. Misgolas milledgei n.sp. A–H?, holotype AM KS21570: (A), right palp retrolateral. (B,C), right bulb: B, dorsal; C, prolateral. (D), body dorsum. (E), venter. (F,G), right leg IV: F, prolateral; G, retrolateral. (H), right cymbium dorsal.
Fig. 10. Misgolas taiti n in Trapdoor Spiders of the Genus Misgolas (Mygalomorphae: Idiopidae) from Eastern New South Wales, With Notes on Genetic Variation
Fig. 10. Misgolas taiti n.sp. A–F?, holotype AM KS5209: (A) right palp retrolateral. (B,C), right bulb: B, dorsal; C, prolateral. (D), right leg IV retrolateral. (E), right tarsus I ventral. (F), venter.
Fig. 19. Misgolas macei n in Trapdoor Spiders of the Genus Misgolas (Mygalomorphae: Idiopidae) from Eastern New South Wales, With Notes on Genetic Variation
Fig. 19. Misgolas macei n.sp. A–F?, holotype AM KS38643: (A), right palp retrolateral. (B,C), right bulb: B, dorsal; C, prolateral. (D), right cymbium dorsal. (E), right tarsus/metatarsus IV retrolateral. (F), venter.
Data from: Genetic and ecogeographic controls on species cohesion in Australia's most diverse lizard radiation
<p>Species vary extensively in geographic range size and climatic niche breadth. If range limits are primarily determined by climatic factors, species with broad climatic tolerances and those that track geographically widespread climates should have large ranges. However, large ranges might increase the probability of population fragmentation and adaptive divergence, potentially decoupling climatic niche breadth and range size. Conversely, ecological generalism in widespread species might lead to higher gene flow across climatic transitions, increasing species' cohesion and thus decreasing genetic isolation-by-distance (IBD). Focusing on Australia's iconic <em>Ctenotus</em> lizard radiation, we ask whether species range size scales with climatic niche breadth and the degree of population isolation. To this end, we infer independently evolving operational taxonomic units (OTUs), their geographic and climatic ranges, and the strength of IBD within OTUs based on genome-wide loci from 722 individuals spanning 75 taxa. Large-ranged OTUs were common and had broader climatic niches than small-ranged OTUs; thus, large ranges do not simply result from passive tracking of widespread climatic zones. OTUs with larger ranges and broader climatic niches showed relatively weaker IBD, suggesting that large-ranged species might possess intrinsic attributes that facilitate genetic cohesion across large distances and varied climates. By influencing population divergence and persistence, traits that affect species cohesion may play a central role in large-scale patterns of diversification and species richness.</p>
Fig. S4 in Evidence of genetic connectivity between fragmented pig populations in a tropical urban city-state
Fig. S4. Inbreeding coefficients of each individual. White bars represent individuals from the Northeast and grey bars represent individuals from the Central Catchment Nature Reserve. Error bars represent 95% confidence interval.
Fig. S3 in Evidence of genetic connectivity between fragmented pig populations in a tropical urban city-state
Fig. S3. Mean inbreeding coefficients of the populations of pigs found in the Northeast and the CCNR (Central Catchment Nature Reserve). Error bars represent 95% confidence interval.
Fig. S2 in Evidence of genetic connectivity between fragmented pig populations in a tropical urban city-state
Fig. S2. Plot of Delta K from STRUCTURE output showing the Delta K values for the corresponding K values. The higher the Delta K value, the better the genetic structure is explained.
Fig. 4 in Evidence of genetic connectivity between fragmented pig populations in a tropical urban city-state
Fig. 4. Mean observed heterozygosities of the Northeast population and the Central Catchment Nature Reserve population. Error bars represent 95% confidence intervals of the mean.
Fig. 2. Principal Component Analysis plot showing the 42 in Evidence of genetic connectivity between fragmented pig populations in a tropical urban city-state
Fig. 2. Principal Component Analysis plot showing the 42 individuals from the Central Catchment Nature Reserve (CCNR) and the Northeast differentiated by sex and age class. Individuals exhibiting genetic admixture are labelled. Percentage variation accounted for by each principal component is indicated in brackets.
Fig. 1 in Evidence of genetic connectivity between fragmented pig populations in a tropical urban city-state
Fig. 1. Map of Singapore, in relation to Johor (Malaysia), showing various land-use types and the study sites (Central Catchment Nature Reserve, Northeast). Offshore islands Pulau Tekong and Pulau Ubin where pigs are also present are labelled. White stars indicate locations of cage traps.
Fig. 4 in Patterns Of Genetic Variation In The Little Spiderhunter (Arachnothera Longirostra) In Southeast Asia
Fig. 4. Frequency distribution of pairwise sequence differences among little spiderhunter individuals from the Malay Peninsula and Borneo populations.
Fig. 1 in Patterns Of Genetic Variation In The Little Spiderhunter (Arachnothera Longirostra) In Southeast Asia
Fig. 1. Map showing sampling sites. The sites are numbered as follows: 1=Thale Ban National Park, Thailand; 2=Taman Negara National Park, Malaysia; 3=Matang Wildlife Centre and Kubah National Park, Sarawak; 4=Poring Hot Springs, Sabah; 5=Tawau Hills Park, Sabah; 6=Palawan; 7=South Mindanao; and 8=East Mindanao.
Fig. 3 in Patterns Of Genetic Variation In The Little Spiderhunter (Arachnothera Longirostra) In Southeast Asia
Fig. 3. Minimum spanning network of 38 haplotypes found by sequencing the mtDNA control region of little spiderhunter. Each hatch on branches corresponds to one mutation. Numbers in circles represent haplotype numbers (Table 1). The area of the circles in the network reflects haplotype frequency, with the smallest circle equal to one and the largest equal to eight. Haplotypes are shaded to match respective populations on the map (Fig. 1). Haplotypes without intervening branches differ by gaps.
Fig. S1. Principal Component Analysis plot showing 28 in Evidence of genetic connectivity between fragmented pig populations in a tropical urban city-state
Fig. S1. Principal Component Analysis plot showing 28 out of 42 individuals from the Central Catchment Nature Reserve (CCNR) and the Northeast with kinship values <0.2. Individuals are differentiated by sex and age class. Individuals exhibiting genetic admixture are labelled. Percentage variation accounted for by each principal component is indicated in brackets.
Fig. 3 in Evidence of genetic connectivity between fragmented pig populations in a tropical urban city-state
Fig. 3. STRUCTURE plot at K=2. Individuals are labelled according to 1) ID number, 2) sex and 3) age class (A for adult, J for juvenile). Sampling localities are indicated by brackets above the bars.
Fig. 3 in New record of Rhinolophus chiewkweeae (Chiroptera: Rhinolophidae) from the east coast of Peninsular Malaysia with new information on their echolocation calls, genetics and their taxonomy
Fig. 3. Phylogenetic tree of selected Rhinolophus, Hipposideros and Coelops (Kimura-2-parameter model)
Fig. 2 in New record of Rhinolophus chiewkweeae (Chiroptera: Rhinolophidae) from the east coast of Peninsular Malaysia with new information on their echolocation calls, genetics and their taxonomy
Fig. 2. Inset map highlighted in grey shows the Malaysian country boundary. Area coloured in grey with vertical diagonal lines highlight Peninsular Malaysia whereas area coloured in grey without the lines highlight Malaysian Borneo. Larger map of Peninsular Malaysia on the right shows the collection sites of Rhinolophus chiewkweeae. 1=Lubok Semilan, Kedah; 2=Wang Kelian State Park, Perlis; 3=Weng Subcatchment Area, Kedah; 4=Asahan Forest Reserve, Melaka; 5=Gunung Ledang, Johor; 6=Labis Forest Reserve, Johor; 7=Sungai Buweh, Terengganu (This study).
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.