Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
263
datasets available to search
ShareScore release 0.9.0
Dataset results
263 results for “mitochondrial genetics”
Fig. 2. Minimum spanning network for haematozoa mitochondrial DNA cytochrome b in Prevalence and genetic diversity of haematozoa in South American waterfowl and evidence for intercontinental redistribution of parasites by migratory birds
Fig. 2. Minimum spanning network for haematozoa mitochondrial DNA cytochrome b haplotypes detected in South American waterfowl. Shaded circles represent unsampled nodes. All circles are drawn proportional to the frequency at which haplotypes were observed. Lines separating nodes are drawn to scale based on the number of nucleotide mutations, unless otherwise indicated by hash marks. Only haplotypes with a length of 358 bp or greater were included. Haplotype name abbreviations are as follows: Haem = Haemoproteus, Leuc = Leucocytozoon, and Plas = Plasmodium.
Figure 2 in Examining metrics and magnitudes of molecular genetic differentiation used to delimit cetacean subspecies based on mitochondrial DNA control region sequences
Figure 2. Relationship between ΦST and Nei's estimate of net divergence (dA) among cetacean population, subspecies, and species pairs estimated using mitochondrial DNA control region sequence data. Specific values mentioned in the text are numbered: 1 = Neophocaena species; 2 = killer whale populations. The three green squares in the left-hand side of the figure (ΦST <0.07) represent, from bottom to top, the subspecies comparisons for S. attenuata, S. longirostris, and L. obscurus, respectively.
Figure 1 in Examining metrics and magnitudes of molecular genetic differentiation used to delimit cetacean subspecies based on mitochondrial DNA control region sequences
Figure 1. Box and whisker plots showing median and 1st and 3rd quartiles, and minimum and maximum values for six metrics of genetic divergence among cetacean population, subspecies, and species pairs estimated using mitochondrial DNA control region sequence data.
Global patterns of nuclear and mitochondrial genetic diversity in marine fishes
<p>Genetic diversity is a fundamental component of biodiversity. Examination of global patterns of genetic diversity can help highlight mechanisms underlying species diversity, though a recurring challenge has been that patterns may vary by molecular marker. Here, we compiled 6862 observations of genetic diversity from 492 species of marine fish and tested among hypotheses for diversity gradients: the founder effect hypothesis, the kinetic energy hypothesis, and the productivity-diversity hypothesis. We fit generalized linear mixed effect models (GLMMs) and explored the extent to which various macroecological drivers (latitude, longitude, temperature (SST), and chlorophyll-a concentration) explained variation in genetic diversity. We found that mitochondrial genetic diversity followed geographic gradients similar to those of species diversity, being highest near the Equator, particularly in the Coral Triangle, while nuclear genetic diversity did not follow clear geographic patterns. Despite these differences, all genetic diversity metrics were correlated with chlorophyll-a concentration, while mitochondrial diversity was also positively associated with SST. Our results provide support for the kinetic energy hypothesis, which predicts that elevated mutation rates at higher temperatures increase mitochondrial but not necessarily nuclear diversity, and the productivity-diversity hypothesis, which posits that resource-rich regions support larger populations with greater genetic diversity. Overall, these findings reveal how environmental variables can influence mutation rates and genetic drift in the ocean, caution against using mitochondrial macro-genetic patterns as proxies for whole-genome diversity, and aid in defining global gradients of genetic diversity.</p>
Fig. 1 in Genetic Diversity In Peripheral And Central Populations Of Rusty-Necklaced Partridge (Alectoris Magna) Based On Mitochondrial And Microsatellite Dna
Fig. 1. Rusty-necklaced partridge sampling sites: 1 = Lanzhou, 2 = Jingyuan, 3 = Haiyuan, 4 = Dingxi, 5 = Huining, 6 = Wushan, 7 = Beidao, 8 = Lixian
Fig. 2 Maximum likelihood phylogenetic tree constructed using the mitochondrial cox1 gene for 103 in Genetic diversity and population genetics of large lungworms (Dictyocaulus, Nematoda) in wild deer in Hungary
ƒFig. 2 Maximum likelihood phylogenetic tree constructed using the mitochondrial cox1 gene for 103 Dictyocaulus lungworms originating from Hungary and five lungworms from GenBank indicated by their accession numbers (one dictyocaulid worm of red deer in New Zealand and four sequences of D. viviparus). Lungworms were collected from hunted deer (fallow, red and roe deer), indicated by triangle, square and circle, respectively. Geographical collecting regions are indicated for each sample
Text-fig. 4. Electrophoresis after amplification: Electrophoretical analysis of mitochondrial DNA. mtDNA sequences were amplified by primers F15.412 and R16.169 (450 bp), R16.269 (550 bp), R16.519 (800 bp). Lane 1 are primers F15.412 + R16.169, lane 2 primers F15.412 + R16.269, lane 3 primers F15.412 + R16.519, NC – negative control – water, L – 100 bp DNA ladder (band size from 100 bp to 1500 bp). in Genetic Analysis Of Possibly The Oldest Greyhound Remains Within The Territory Of The Czech Republic As Proof Of A Local Elite Presence At Chotěbuz-Podobora Hillfort In The 8 -9 Century Ad
Text-fig. 4. Electrophoresis after amplification: Electrophoretical analysis of mitochondrial DNA. mtDNA sequences were amplified by primers F15.412 and R16.169 (450 bp), R16.269 (550 bp), R16.519 (800 bp). Lane 1 are primers F15.412 + R16.169, lane 2 primers F15.412 + R16.269, lane 3 primers F15.412 + R16.519, NC – negative control – water, L – 100 bp DNA ladder (band size from 100 bp to 1500 bp).
Figure 2 in Investigation of genetic variation among Turkish populations of Andricus lignicola using mitochondrial cytochrome b gene sequence data
Figure 2. Bayesian analysis tree. Posterior probability values are given on the branches. Outgroup haplotypes: Ac (Andricus caliciformis) and Ak (Andricus kollari).
Figure S1 in Mitochondrial genetic diversity and structuring of northern white-breasted hedgehogs from the Central Balkans
Figure S1. Median-joining network shows the distribution of 13 Erinaceus roumanicus haplotypes from the Central Balkans, with pie chart area proportional to haplotype frequencies in relation to the four detected subpopulations.
Figure 1 in Mitochondrial genetic diversity and structuring of northern white-breasted hedgehogs from the Central Balkans
Figure 1. Geographic position of sampled localities of E. roumanicus from the Central Balkans in this study. Numbers of localities correspond to those shown in Table 1, where the number of individuals sampled for each locality is also given. Localities were organized in four groups as suggested by Geneland analysis (NWC – black circles; NE – red squares; SE – green polygons; SW – blue triangles).
Figure 2 in Mitochondrial genetic diversity and structuring of northern white-breasted hedgehogs from the Central Balkans
Figure 2. Distribution of haplotype frequencies in four detected groups of E. roumanicus from the Central Balkans. The size of pie charts is proportional to sample size. The numbers on the x and y axes correspond to longitude and latitude decimal degrees.
Figure 2 in High genetic distinctiveness of wild and farm fox (Vulpes vulpes L.) populations in Poland: evidence from mitochondrial DNA analysis
Figure 2. Neighbor-joining haplotype network based on frequencies showing relationships between concatenated MT-CO1 and MTATP6 sequences of fur farm and wild red foxes.
Figure 1 in High genetic distinctiveness of wild and farm fox (Vulpes vulpes L.) populations in Poland: evidence from mitochondrial DNA analysis
Figure 1. Distribution of sampling sites of wild and fur-farm red foxes in Poland: light gray areas represent the provinces from which samples of wild foxes were taken; the darker gray area indicated with a black circle shows the location of investigated fox farms; the numbers represent fox fur-farms in particular voivodeships.
Fig. 5. Phylogenetic tree depicting inferred genetic relationships among Leucocytozoon mitochondrial DNA cytochrome b in Negligible evidence for detrimental effects of Leucocytozoon infections among Emperor Geese (Anser canagicus) breeding on the Yukon-Kuskokwim Delta, Alaska
Fig. 5. Phylogenetic tree depicting inferred genetic relationships among Leucocytozoon mitochondrial DNA cytochrome b haplotypes identified from blood samples collected from Emperor Geese inhabiting the Yukon-Kuskokwim Delta, Alaska during 2006–2016 and those previously reported for closely related haemosporidian morphospecies on the National Center for Biotechnology Information GenBank and Malavi databases (accession IDs in parentheses). Bars to the right of tree represent the assignment of sequences to L. simondi clade A (teal), L. simondi clade B (orange), or other Leucocytozoon. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4. Phylogenetic tree depicting inferred genetic relationships among Haemoproteus mitochondrial DNA cytochrome b in Negligible evidence for detrimental effects of Leucocytozoon infections among Emperor Geese (Anser canagicus) breeding on the Yukon-Kuskokwim Delta, Alaska
Fig. 4. Phylogenetic tree depicting inferred genetic relationships among Haemoproteus mitochondrial DNA cytochrome b haplotypes identified from blood samples collected from Emperor Geese inhabiting the Yukon-Kuskokwim Delta, Alaska during 2006–2016 and those previously reported for closely related haemosporidian morphospecies on the National Center for Biotechnology Information GenBank and Malavi databases (accession IDs in parentheses).
Global patterns of nuclear and mitochondrial genetic diversity in marine fishes
Open the record for dataset details and reuse information.
The Atlas of mitochondrial genetic diversity for Western Palearctic butterflies
<p>Abstract: Motivation<br>Butterflies represent a model in biology and a flagship group for invertebrate conservation. We provide four new resources for the Western-Palearctic butterflies: 1) An updated checklist comprising 552 species; 2) a curated dataset of 32,129 mitochondrial COI sequences for 532 species, including a de novo reference library for the Maghreb (Morocco and northern Algeria and Tunisia) and Macaronesia (Azores, Madeira and Canary Islands); 3) seven indexes of intraspecific genetic variation (IGV): observed and expected number of haplotypes, haplotype and nucleotide diversity, two fixation indexes, and maximum p-distance; 4) species-level maps illustrating the distribution of COI variability and haplotype networks. The updated checklist will be fundamental for any application dealing with butterfly diversity in Western Palearctic. IGV indexes provide measures for genetic polymorphism and spatial structure and represent proxies for dispersal capacity. These resources will facilitate comparative studies of macrogenetics, will foster integrative taxonomy, and will aid conservation strategies.</p> <p>Main types of variables contained<br>A complete species checklist in table format, 32,129 mitochondrial DNA-barcodes provided with metadata (species membership, WGS84 coordinates, sequence length), and a book in PDF format including the IGV atlas and indexes.</p> <p>Spatial location and grain<br>The checklist encompasses Europe up to Urals in the east, north Macaronesia (Azores, Madeira and Canary Islands), as well as the Maghreb (Morocco and northern Algeria and Tunisia). DNA-barcodes have been retained in the geographic interval of -31.3–67.5 degrees of longitude and 27.5–71.2 degrees of latitude.</p> <p>Time period and grain<br>DNA-barcodes originate from studies published between 1998-2022 and from de novo sequencing of 2,608 specimens done between 2007-2022.</p> <p>Major taxa and level of measurement<br>Butterflies (Lepidoptera, Papilionoidea), analysed from individual to species level.</p> <p>Software format<br>Data and functions to manage the dataset are provided in the iodatabase R package (<a href="https://github.com/leondap/iodatabase" rel="noopener noreferrer">https://github.com/leondap/iodatabase</a>) and in Dryad</p>
Seascape genetics of the Atlantic spotted dolphin (Stenella frontalis) based on mitochondrial DNA
<p>The Atlantic spotted dolphin (Stenella frontalis) is endemic to tropical, subtropical, and warm temperate waters of the Atlantic Ocean. Throughout its distribution, both geographic distance and environmental variation may contribute to population structure of the species. In this study we follow a seascape genetics approach to investigate population differentiation of Atlantic spotted dolphins based on a large worldwide dataset and the relationship with marine environmental variables. The results revealed that the Atlantic spotted dolphin exhibits population genetic structure across its distribution based on mitochondrial DNA control region (mtDNA-CR) data. Analyses based on the contemporary landscape suggested, at both the individual and population-level, that the population genetic structure is consistent with the isolation-by-distance model. However, because geography and environmental matrices were correlated, and because in some, but not all analyses, we found a significant effect for the environment, we cannot rule out the addition contribution of environmental factors in structuring genetic variation. Future analyses based on nuclear data are needed to evaluate whether local processes, such as social structure and some level of philopatry within populations, may be contributing to the associations among genetic structure, geographic, and environmental distance.</p>
Strong nuclear and mitochondrial genetic structure of <em>Mazzaella laminarioides</em> in the southeastern Pacific revealed by intensive sampling
Open the record for dataset details and reuse information.
The Atlas of mitochondrial genetic diversity for Western Palearctic butterflies
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.