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3,584 results for “genomic analysis”
Figure 5 from: Gong J, Chen B, Li B, Zhou Z, Shi Y, Ke Q, Zhang D, Xu P (2020) Genetic analysis of whole mitochondrial genome of Lateolabrax maculatus (Perciformes: Moronidae) indicates the presence of two populations along the Chinese coast. Zoologia 37: 1-12. https://doi.org/10.3897/zoologia.37.e49046
Figure 5 Bayesian tree constructed based on 86 whole-mitochondrial sequences of Lateolabrax maculatus. Each line represents one individual in the population. The reseda area and orange area represent north population and south population, respectively. Lateolabrax japonicus was used as outgroup.
Figure 6 from: Gong J, Chen B, Li B, Zhou Z, Shi Y, Ke Q, Zhang D, Xu P (2020) Genetic analysis of whole mitochondrial genome of Lateolabrax maculatus (Perciformes: Moronidae) indicates the presence of two populations along the Chinese coast. Zoologia 37: 1-12. https://doi.org/10.3897/zoologia.37.e49046
Figure 6 The median-joining network constructed based on 78 haplotypes of Lateolabrax maculatus. Each cycle represents a haplotype, the area of the circle is proportional to the frequency of haplotype. Different geographical populations were shown in different colors.
Figure 3 from: Gong J, Chen B, Li B, Zhou Z, Shi Y, Ke Q, Zhang D, Xu P (2020) Genetic analysis of whole mitochondrial genome of Lateolabrax maculatus (Perciformes: Moronidae) indicates the presence of two populations along the Chinese coast. Zoologia 37: 1-12. https://doi.org/10.3897/zoologia.37.e49046
Figure 3 Plot of pairwise estimates of genetic (FST) and geographical distance between populations of Lateolabrax maculatus.
Figure 4 from: Gong J, Chen B, Li B, Zhou Z, Shi Y, Ke Q, Zhang D, Xu P (2020) Genetic analysis of whole mitochondrial genome of Lateolabrax maculatus (Perciformes: Moronidae) indicates the presence of two populations along the Chinese coast. Zoologia 37: 1-12. https://doi.org/10.3897/zoologia.37.e49046
Figure 4 Admixture analysis among all populations derived from 85 whole-mitochondrial sequences. The K value was set 2 and 3.
Figure 2 from: Gong J, Chen B, Li B, Zhou Z, Shi Y, Ke Q, Zhang D, Xu P (2020) Genetic analysis of whole mitochondrial genome of Lateolabrax maculatus (Perciformes: Moronidae) indicates the presence of two populations along the Chinese coast. Zoologia 37: 1-12. https://doi.org/10.3897/zoologia.37.e49046
Figure 2 The structure of Lateolabrax maculatus mitochondrial genome. The total length of mitochondrial genome of L. maculatus was 16,601 bp comprising 13 protein-coding genes (PCGs), 2 rRNA genes and 22 tRNA genes. 249 high-confidence single nucleotide polymorphism (SNP) sites and 24 indels was identified in 85 individuals.
Figure 1 from: Gong J, Chen B, Li B, Zhou Z, Shi Y, Ke Q, Zhang D, Xu P (2020) Genetic analysis of whole mitochondrial genome of Lateolabrax maculatus (Perciformes: Moronidae) indicates the presence of two populations along the Chinese coast. Zoologia 37: 1-12. https://doi.org/10.3897/zoologia.37.e49046
Figure 1 Locations of 12 sampling sites of Lateolabrax maculatus. 85 individuals of L. maculatus were collected from 12 geographic locations including Tianjin (TJ), Yantai (YT), Wendeng (WD), Lianyungang (LY), Zhoushan (ZS), Wenzhou (WZ), Shantou (ST), Shenzhen (SZ), Zhanjiang (ZJ), Haikang (HK), Tieshan (TS), Fangcheng (FC) along Chinese coastal waters. The average sea surface temperature (SST) of 1981-2010 at 12 sampling sites were retrieved from NOAA Optimum Interpolation (OI) Sea Surface Temperature (SST) V2 (https://www.esrl.noaa.gov/psd/data/gridded/data.noaa.oisst.v2.html).
Figure 2 from: Wang I-C, Lin H-D, Liang C-M, Huang C-C, Wang R-D, Yang J-Q, Wang W-K (2020) Complete mitochondrial genome of the freshwater fish Onychostoma lepturum (Teleostei, Cyprinidae): genome characterization and phylogenetic analysis. ZooKeys 1005: 57-72. https://doi.org/10.3897/zookeys.1005.57592
Figure 2 Comparison of codon usage in mitochondrial genomes of Onychostoma lepturuma Relative synonymous codon usage (RSCU) in the Onychostoma lepturum mitogenome. Codon families are provided on the X-axis, and the RSCU values, on the Y-axis b Codon distribution in the Onychostoma lepturum mitogenome. CDspT, codons per thousand codons. Codon families are provided on the X-axis.
Figure 1 from: Wang I-C, Lin H-D, Liang C-M, Huang C-C, Wang R-D, Yang J-Q, Wang W-K (2020) Complete mitochondrial genome of the freshwater fish Onychostoma lepturum (Teleostei, Cyprinidae): genome characterization and phylogenetic analysis. ZooKeys 1005: 57-72. https://doi.org/10.3897/zookeys.1005.57592
Figure 1 Gene map of the mitochondrial genome of Onychostoma lepturum. Two rRNA genes (in red); 13 coding genes (in green); 22 tRNA genes and control region (D-loop) (in yellow). (Color figure online).
Supplementary material 1 from: Wang I-C, Lin H-D, Liang C-M, Huang C-C, Wang R-D, Yang J-Q, Wang W-K (2020) Complete mitochondrial genome of the freshwater fish Onychostoma lepturum (Teleostei, Cyprinidae): genome characterization and phylogenetic analysis. ZooKeys 1005: 57-72. https://doi.org/10.3897/zookeys.1005.57592
Table S1
Figure 3 from: Wang I-C, Lin H-D, Liang C-M, Huang C-C, Wang R-D, Yang J-Q, Wang W-K (2020) Complete mitochondrial genome of the freshwater fish Onychostoma lepturum (Teleostei, Cyprinidae): genome characterization and phylogenetic analysis. ZooKeys 1005: 57-72. https://doi.org/10.3897/zookeys.1005.57592
Figure 3 Phylogenetic trees derived from Maximum-Likelihood (ML) and Neighbor Joining (NJ) approaches based on whole mitochondrial genomes. The numbers on the nodes are the bootstrap values of ML/NJ. The number after the species name is the GenBank Accession Number.
Datasets for: Genome wide analysis reveals genetic divergence between Goldsinny wrasse populations
<p><b>Background</b>: Marine fish populations are often characterized by high levels of gene flow and correspondingly low genetic divergence. This presents a challenge to define management units. Goldsinny wrasse (<i>Ctenolabrus rupestris</i>) is a heavily exploited species due to its importance as a cleaner-fish in commercial salmonid aquaculture. However, at the present, the population genetic structure of this species is still largely unresolved. Here, full-genome sequencing was used to produce the first genomic reference for this species, to study population-genomic divergence among four geographically distinct populations, and, to identify informative SNP markers for future studies.</p> <p><b>Results:</b> After construction of a <i>de novo </i>assembly, the genome was estimated to be highly polymorphic and of ~600Mbp in size. 33 235 genome wide SNPs were thereafter selected to assess genomic diversity and differentiation among four populations collected from Scandinavia, Scotland, and Spain. Global <i>F<sub>ST</sub></i> among these populations was 0.015–0.092. Approximately 4% of the investigated loci were identified as putative global outliers, and ~1% within Scandinavia. SNPs showing large divergence (<i>F<sub>ST</sub></i>>0.15) were picked as candidate diagnostic markers for population assignment. 173 of the most diagnostic SNPs between the two Scandinavian populations were validated by genotyping 47 individuals from each end of the species' Scandinavian distribution range. 69 of these SNPs were significantly (<i>p</i><0.05) differentiated (mean <i>F<sub>ST_173_loci</sub></i><i>=</i>0.065<i>, F<sub>ST_69_</sub></i><i><sub>loci</sub></i><i>=</i>0.140). Using these validated SNPs, individuals were assigned with high probability (≥ 94%) to their populations of origin.</p> <p><b>Conclusions:</b> Goldsinny wrasse displays a highly polymorphic genome, and substantial population genomic structure. Diversifying selection likely affects population structuring globally and within Scandinavia. The diagnostic loci identified now provide a promising and cost-efficient tool to investigate goldsinny wrasse populations further.</p>
Figure 4 from: Shan W, Tursun M, Zhou S, Zhang Y, Dai H (2021) Complete mitochondrial genome sequence of Lepus yarkandensis Günther, 1875 (Lagomorpha, Leporidae): characterization and phylogenetic analysis. ZooKeys 1012: 135-150. https://doi.org/10.3897/zookeys.1012.59035
Figure 4 A schematic of the structural organization of the mitochondrial control region in Lepus yarkandensis. Control region flanking genes tRNA-Phe and tRNA-Pro presented in red. Conserved elements in the control region denoted by gray boxes: TAS, termination associated sequence; CD, central conserved domain; CSB, conserved sequence block. SR, short repeat; LR, long repeat.
Figure 5 from: Shan W, Tursun M, Zhou S, Zhang Y, Dai H (2021) Complete mitochondrial genome sequence of Lepus yarkandensis Günther, 1875 (Lagomorpha, Leporidae): characterization and phylogenetic analysis. ZooKeys 1012: 135-150. https://doi.org/10.3897/zookeys.1012.59035
Figure 5 Neighbor-joining and Bayes trees based on the complete mtDNA sequences of 25 lagomorphs. Values separated by slash (/) represent bootstrap support values for the NJ and Bayes trees.
Supplementary material 1 from: Shan W, Tursun M, Zhou S, Zhang Y, Dai H (2021) Complete mitochondrial genome sequence of Lepus yarkandensis Günther, 1875 (Lagomorpha, Leporidae): characterization and phylogenetic analysis. ZooKeys 1012: 135-150. https://doi.org/10.3897/zookeys.1012.59035
Figure S1a, S1b
Figure 1 from: Shan W, Tursun M, Zhou S, Zhang Y, Dai H (2021) Complete mitochondrial genome sequence of Lepus yarkandensis Günther, 1875 (Lagomorpha, Leporidae): characterization and phylogenetic analysis. ZooKeys 1012: 135-150. https://doi.org/10.3897/zookeys.1012.59035
Figure 1 Complete mitochondrial genome map of Lepus yarkandensis. Genes encoded on the heavy and light strands are shown outside and inside the circle, respectively.
Data from: Range-wide population genomics of the Mexican fruit fly: towards development of pathway analysis tools
Recurrently invading pests provide unique challenges for pest management, but also present opportunities to utilize genomics to understand invasion dynamics and inform regulatory management through pathway analysis. In the southern United States, the Mexican fruit fly Anastrepha ludens is such a pest, and its incursions into Texas and California represent major threats to the agricultural systems of those regions. We developed a draft genome assembly for A. ludens, conducted range-wide population genomics using restriction-site associated DNA sequencing, and then developed and demonstrated a panel of highly-differentiated diagnostic SNPs for source determination of intercepted flies in this system. Using 2,081 genome-wide SNPs, we identified four populations across the range of A. ludens, corresponding to western Mexico, eastern Mexico/Texas, Guatemala/Belize/Honduras, and Costa Rica/Panama, with some intergradation present between clusters, particularly in Central America. From this population genomics framework, we developed a diagnostic panel of 28 highly-differentiated SNPs that were able to recreate the genome-wide population structure in this species. We demonstrated this panel on a set of test specimens, including specimens intercepted as part of regular trapping surveillance in Texas and California, and we were able to predict populations of origin for these specimens. This methodology presents a highly applied use of genomic techniques and can be implemented in any group of recurrently invading pests.
Data from: Causes and consequences of genetic background effects illuminated by integrative genomic analysis
The phenotypic consequences of individual mutations are modulated by the wild-type genetic background in which they occur. Although such background dependence is widely observed, we do not know whether general patterns across species and traits exist, nor about the mechanisms underlying it. We also lack knowledge on how mutations interact with genetic background to influence gene expression, and how this in turn mediates mutant phenotypes. Furthermore, how genetic background influences patterns of epistasis remains unclear. To investigate the genetic basis and genomic consequences of genetic background dependence of the scallopedE3 allele on the Drosophila melanogaster wing, we generated multiple novel genome-level datasets from a mapping-by-introgression experiment and a tagged RNA gene expression dataset. In addition we used whole genome re-sequencing of the parental lines—two commonly used laboratory strains—to predict polymorphic transcription factor binding sites for SD. We integrated these data with previously published genomic datasets from expression microarrays and a modifier mutation screen. By searching for genes showing a congruent signal across multiple datasets, we were able to identify a robust set of candidate loci contributing to the background-dependent effects of mutations in sd. We also show that the majority of background-dependent modifiers previously reported are caused by higher-order epistasis, not quantitative non-complementation. These findings provide a useful foundation for more detailed investigations of genetic background dependence in this system, and this approach is likely to prove useful in exploring the genetic basis of other traits as well.
Data from: Genome-wide analysis of MATE transporters and molecular characterization of aluminum resistance in Populus
Ionic aluminum (Al) in acidic soils, comprising approximately 50% of arable land globally, is highly toxic to most plant species. Populus grow naturally in acidic soils and tolerate high concentrations of Al. Multidrug and toxic compound extrusion (MATE) family genes in plants are involved in responses to Al tolerance. To date, however, the functional roles of the MATE genes in Populus remain unclear. In the present study, 71 putative MATE transporters were predicted in the genome of Populus trichocarpa. The chromosome distribution, phylogenetic relationships, and expression level analysis revealed that four candidate MATE genes belonging to subgroup IIIc might contribute to high Al tolerance in poplar. Further, the expression levels of two subgroup IIIc members, PtrMATE1 and PtrMATE2, were induced by Al stress. Transient expression in onion epidermal cells showed that PtrMATE1 was localized to the plasma membrane. Overexpression of PtrMATE1 increased Al-induced secretion of citrate from the root apex of transgenic plants. Al-induced inhibition of root growths were alleviated in both PtrMATE1 overexpression lines in Populus and in Arabidopsis compared with wild-type plants. In addition, PtrMATE1 expression was induced at 12 h after exposure to Al stress whereas PtrMATE2 expression was induced at 24 h, indicating that these proteins coordinately function in response to Al stress in poplar. Taken together, these results provide important insights into the molecular mechanisms involved in Al tolerance in poplar.
Data from: Genome-wide analysis of alternative splicing in Zea mays: landscape and genetic regulation
Alternative splicing enhances transcriptome diversity in all eukaryotes and plays a role in plant tissue identity and stress adaptation. To catalog new maize (Zea mays) transcripts and identify genomic loci that regulate alternative splicing, we analyzed over 90 RNA-seq libraries from maize inbred lines B73 and Mo17, as well as Syn10 doubled haploid lines (progenies from B73 × Mo17). Transcript discovery was augmented with publicly available data from 14 maize tissues, expanding the maize transcriptome by more than 30,000 and increasing the percentage of intron-containing genes that undergo alternative splicing to 40%. These newly identified transcripts greatly increase the diversity of the maize proteome, sometimes coding for entirely different proteins compared with their most similar annotated isoform. In addition to increasing proteome diversity, many genes encoding novel transcripts gained an additional layer of regulation by microRNAs, often in a tissue-specific manner. We also demonstrate that the majority of genotype-specific alternative splicing can be genetically mapped, with cis-acting quantitative trait loci (QTLs) predominating. A large number of trans-acting QTLs were also apparent, with nearly half located in regions not shown to contain genes associated with splicing. Taken together, these results highlight the currently underappreciated role that alternative splicing plays in tissue identity and genotypic variation in maize.
Data from: Genomic analysis of codon usage shows influence of mutation pressure, natural selection, and host features on Marburg virus evolution
Background. The Marburg virus (MARV) has a negative-sense single-stranded RNA genome, belongs to the family Filoviridae, and is responsible for several outbreaks of highly fatal hemorrhagic fever. Codon usage patterns of viruses reflect a series of evolutionary changes that enable viruses to shape their survival rates and fitness toward the external environment and, most importantly, their hosts. To understand the evolution of MARV at the codon level, we report a comprehensive analysis of synonymous codon usage patterns in MARV genomes. Multiple codon analysis approaches and statistical methods were performed to determine overall codon usage patterns, biases in codon usage, and influence of various factors, including mutation pressure, natural selection, and its two hosts, Homo sapiens and Rousettus aegyptiacus. Results. Nucleotide composition and relative synonymous codon usage (RSCU) analysis revealed that MARV shows mutation bias and prefers U- and A-ended codons to code amino acids. Effective number of codons analysis indicated that overall codon usage among MARV genomes is slightly biased. The Parity Rule 2 plot analysis showed that GC and AU nucleotides were not used proportionally which accounts for the presence of natural selection. Codon usage patterns of MARV were also found to be influenced by its hosts. This indicates that MARV have evolved codon usage patterns that are specific to both of its hosts. Moreover, selection pressure from R. aegyptiacus on the MARV RSCU patterns was found to be dominant compared with that from H. sapiens. Overall, mutation pressure was found to be the most important and dominant force that shapes codon usage patterns in MARV. Conclusions. To our knowledge, this is the first detailed codon usage analysis of MARV and extends our understanding of the mechanisms that contribute to codon usage and evolution of MARV.
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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.