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59 results for “mitochondrial COI”
Fig. 5 in Mitochondrial DNA diversity in the acanthocephalan Prosthenorchis elegans in Colombia based on cytochrome c oxidase I (COI) gene sequence
Fig. 5. Distribution and frequency of Prosthenorchis elegans haplotypes (A–F) and haplogroups (I–II) by locality and individual. URRAS: Unidad de Rescate y Rehabilitacíon de Animales Silvestres, Universidad Nacional de Colombia; AMVA: Area Metropolitana del Valle de Aburŕa; WCS: Wildlife Conservation Society-Colombia.
Fig. 4 in Mitochondrial DNA diversity in the acanthocephalan Prosthenorchis elegans in Colombia based on cytochrome c oxidase I (COI) gene sequence
Fig. 4. Phylogenetic tree obtained using Bayesian Inference (BI) and Maximum Likelihood (ML); node supports are provided for BI\ML. Outgroup taxa: Oncicola sp, AF417000; O. luehe = Oncicola luehe, JN710452; M. ingens = Macracanthorhynchus ingens, AF416997; M. hirudinaceus = Macracanthorhynchus hirudinaceus, FR856886; O. tortuous = Oligacanthorhynchus tortuous, AF416999.
Fig. 3 in Mitochondrial DNA diversity in the acanthocephalan Prosthenorchis elegans in Colombia based on cytochrome c oxidase I (COI) gene sequence
Fig. 3. Haplotype network of Prosthenorchis elegans. Network shows relationships among P.elegans haplotypes (A–F) recovered from Saguinus leucopus and Cebus albifrons based on 633 bp of COI. All branches are of unit length (one mutational step). Labeled open circles represent observed haplotypes; areas of circles are proportional to the number observed for each haplotype. Filled circles indicate inferred haplotypes not found among sampled individuals. Double lines indicate variable sites (49, 274 and 293) resulting in changes in amino acid. Haplogroups are identified.
Fig. 2 in Mitochondrial DNA diversity in the acanthocephalan Prosthenorchis elegans in Colombia based on cytochrome c oxidase I (COI) gene sequence
Fig. 2. External morphology of Prosthenorchis elegans via scanning electron microscopy (SEM). A. View of entire body of parasite. B. Proboscis armed with hooks.
Figure 1. - Bayesian phylogeny of Euptychia based on one mitochondrial (COI) and one nuclear (EF1-a) gene. Posterior probabilities are listed above and bootstrap values below branches. A dash denotes bootstrap support lower than 50%. (Euptychiaattenboroughi is not included in the analysis – see text for details.)
Figure 1. - Bayesian phylogeny of Euptychia based on one mitochondrial (COI) and one nuclear (EF1-a) gene. Posterior probabilities are listed above and bootstrap values below branches. A dash denotes bootstrap support lower than 50%. (Euptychiaattenboroughi is not included in the analysis – see text for details.)
Fig. 1 in Mitochondrial DNA diversity in the acanthocephalan Prosthenorchis elegans in Colombia based on cytochrome c oxidase I (COI) gene sequence
Fig. 1. Photo showing the characteristic external morphology of Prosthenorchis elegans.
Multiple full-length variants of the Mitochondrial COI DNA Barcode Region are prevalent in North European Sawflies
Open the record for dataset details and reuse information.
III Average nucleotide distances (%) based on the Kimura 2-parameter (K2P) model between Aselliscus spp., and associated outgroups based on complete mitochondrial Cytb (1,140 bp, below the diagonal) and COI (657 bp, above the diagonal) gene sequences in Description of a new species of the genus Aselliscus (Chiroptera, Hipposideridae) from Vietnam
III Average nucleotide distances (%) based on the Kimura 2-parameter (K2P) model between Aselliscus spp., and associated outgroups based on complete mitochondrial Cytb (1,140 bp, below the diagonal) and COI (657 bp, above the diagonal) gene sequences
Data from: A new versatile primer set targeting a short fragment of the mitochondrial COI region for metabarcoding metazoan diversity: application for characterizing coral reef fish gut contents
Introduction: The PCR-based analysis of homologous genes has become one of the most powerful approaches for species detection and identification, particularly with the recent availability of Next Generation Sequencing platforms (NGS) making it possible to identify species composition from a broad range of environmental samples. Identifying species from these samples relies on the ability to match sequences with reference barcodes for taxonomic identification. Unfortunately, most studies of environmental samples have targeted ribosomal markers, despite the fact that the mitochondrial Cytochrome c Oxidase subunit I gene (COI) is by far the most widely available sequence region in public reference libraries. This is largely because the available versatile ("universal") COI primers target the 658 barcoding region, whose size is considered too large for many NGS applications. Moreover, traditional barcoding primers are known to be poorly conserved across some taxonomic groups. Results: We first design a new PCR primer within the highly variable mitochondrial COI region, the "mlCOIintF" primer. We then show that this newly designed forward primer combined with the "jgHCO2198" reverse primer to target a 313 bp fragment performs well across metazoan diversity, with higher success rates than versatile primer sets traditionally used for DNA barcoding (i.e. LCO1490/HCO2198). Finally, we demonstrate how the shorter COI fragment coupled with an efficient bioinformatics pipeline can be used to characterize species diversity from environmental samples by pyrosequencing. We examine the gut contents of three species of planktivorous and benthivorous coral reef fish (family: Apogonidae and Holocentridae). After the removal of dubious COI sequences, we obtained a total of 334 prey Operational Taxonomic Units (OTUs) belonging to 14 phyla from 16 fish guts. Of these, 52.5% matched a reference barcode (>98% sequence similarity) and an additional 32% could be assigned to a higher taxonomic level using Bayesian assignment. Conclusions: The molecular analysis of gut contents targeting the 313 COI fragment using the newly designed mlCOIintF primer in combination with the jgHCO2198 primer offers enormous promise for metazoan metabarcoding studies. We believe that this primer set will be a valuable asset for a range of applications from large-scale biodiversity assessments to food web studies.
Data from: Mitochondrial DNA (COI) analyses reveal that amphipod diversity is associated with environmental heterogeneity in deep-sea habitats
The relationship between species diversity and environmental parameters is poorly understood for the mobile macrofauna of deep-sea habitats due to under-sampling and subsequent lack of accurate taxonomic information. To redress this, cytochrome oxidase c subunit I (COI) DNA sequences were used to estimate species diversity and to compare phoxocephalid amphipod assemblages among 20 stations encompassing a range of environmental conditions. Two regions, east (Chatham Rise) and west (Challenger Plateau) of New Zealand were sampled to depths of 200 – 1200 m with an epibenthic sled. Using a comparison among identified morphospecies, we found a clear gap in sequence divergences between 6 and 13% and used a 6% threshold to designate molecular operational taxonomic units (MOTUs), as a surrogate to putative species. DNA sequences (n=297) revealed high total diversity (n=49 MOTUs), as well as high beta diversity (28 MOTUs found at single location only). Novel phoxocephalid MOTUs were found at most stations, especially on Challenger Plateau and the flanks of Chatham Rise. Analyses of inter-station assemblages revealed a major split between regions, indicating minimal overlap in taxon distributions. A cluster of highly similar stations was identified, broadly distributed over the crest of Chatham Rise, in association with elevated food availability, probably resulting from higher surface productivity and relatively shallow depth. Accordingly, multivariate analysis revealed a strong correlation between phoxocephalid assemblages and food supply. This study highlights the value of molecular approaches, in particular COI sequences, for quantifying and comparing diversity in under-sampled and/or under-studied taxa.
Mitochondrial DNA tree for COI sequences (DNA barcode) of the goby genus Trimma.
<p>Mitochondrial DNA tree for COI sequences (DNA barcode) of the goby genus Trimma</p>
FIGURE 6. Bayesian tree from mitochondrial COI sequences for the Alpheus bouvieri A in Description of cryptic taxa within the Alpheus bouvieri A. Milne-Edwards, 1878 and A. hebes Kim and Abele, 1988 species complexes (Crustacea: Decapoda: Alpheidae)
FIGURE 6. Bayesian tree from mitochondrial COI sequences for the Alpheus bouvieri A. Milne-Edwards, 1878 and A. hebes Kim and Abele, 1988 species complexes. Numbers at nodes indicate posterior probability values. Results from maximum likelihood and neighbor-joining analyses produced very similar trees (not shown). Field collection numbers (numbers associated with each terminal) correspond to specimens from various localities on the Pacific coast of Panama (EP), Atlantic (Caribbean) coast of Panama (WA), Atol das Rocas, Brazil (WA-Br), and São Tomé (EA). The tree is rooted with three species of Alpheus not closely related to the species of Clade L.
FIGURE 2. Phylogenetic results. A, Maximum likelihood tree from COI dataset rooted with Ophelia limacina. B, Maximum likelihood tree from ITS1 in Validation of three sympatric Thoracophelia species (Annelida: Opheliidae) from Dillon Beach, California using mitochondrial and nuclear DNA sequence data
FIGURE 2. Phylogenetic results. A, Maximum likelihood tree from COI dataset rooted with Ophelia limacina. B, Maximum likelihood tree from ITS1 dataset rooted according to the result for the COI dataset. Support values are shown as jackknife from parsimony analysis and bootstrap from maximum likelihood respectively separated by /. * indicates 100% values for each support measure.
Figure 7 in Molecular characterisation of leeches (Clitellata, Annelida) based on the mitochondrial cytochrome oxidase I (COI) gene region for Turkish fauna
Figure 7. Bayesian tree analysis of the COI (629 positions) data set of Hirudo species, with MrBayes v. 3.2.7.
Figure 8 in Molecular characterisation of leeches (Clitellata, Annelida) based on the mitochondrial cytochrome oxidase I (COI) gene region for Turkish fauna
Figure 8. Maximum likelihood phylogeny for Limnatis species based on COI sequences. Bootstrap values are shown for 1000 replicates.
Figure 3 in Molecular characterisation of leeches (Clitellata, Annelida) based on the mitochondrial cytochrome oxidase I (COI) gene region for Turkish fauna
Figure 3. Bayesian tree analysis of the COI (648 positions) data set of Glossiphonia species, with MrBayes v. 3.2.7.
Figure 9 in Molecular characterisation of leeches (Clitellata, Annelida) based on the mitochondrial cytochrome oxidase I (COI) gene region for Turkish fauna
Figure 9. Bayesian tree analysis of the COI (671 positions) data set of Limnatis species, with MrBayes v. 3.2.7.
Figure 5 in Molecular characterisation of leeches (Clitellata, Annelida) based on the mitochondrial cytochrome oxidase I (COI) gene region for Turkish fauna
Figure 5. Bayesian tree analysis of the COI (640 positions) data set of Helobdella species, with MrBayes v. 3.2.7.
Figure 1 in Molecular characterisation of leeches (Clitellata, Annelida) based on the mitochondrial cytochrome oxidase I (COI) gene region for Turkish fauna
Figure 1. Map of showing the areas surveyed for the occurrence of leeches. Wetlands where the species was found are indicated with dots.
Figure 6 in Molecular characterisation of leeches (Clitellata, Annelida) based on the mitochondrial cytochrome oxidase I (COI) gene region for Turkish fauna
Figure 6. Maximum likelihood phylogeny for Hirudo species based on COI sequences. Bootstrap values are shown for 1000 replicates.
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