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Resources from: Disparate patterns of genetic divergence in three widespread corals across a pan-pacific environmental gradient highlights species-specific adaptation trajectories
<p>The following files are contained in this repository:</p> <p><br> README.Hume_et_al_2022.zenodov4.txt - This document.</p> <p>scripts.Hume_et_al_2022.zenodov4.pdf - Contains the scripts, or locations of the scripts, used to conduct the data analyses detailed in the associated manuscript.</p> <p>acknowledgements_local_authorities.Hume_et_al_2022.zenodov1.pdf - Acknowledgements of local authorities for the collection of samples used in the associated study.</p> <p>TaraPacific_SST_timeseries_mean_productsV2mai2021.Hume_et_al_2022.zenodov1.csv - The historical temperature data set used for the RDA, Mantel tests and gradient Forest analysis.</p> <p>Pocillopora_meandrina_v3_11Islands.raw.Hume_et_al_2022.zenodov2.vcf.genozip - The Pocillopora SNPs referred to as 'raw' in the Methods of the associated manuscript. Compressed using genozip (https://genozip.readthedocs.io/index.html).</p> <p>Pocillopora_meandrina_v3_11Islands.raw.Hume_et_al_2022.zenodov2.vcf.genozip.md5 - md5 of the the Pocillopora raw SNPs.</p> <p>Pocillopora_meandrina_v3_11Islands_maf05_minQ30_biallelic_nomiss.linked.Hume_et_al_2022.zenodov2.vcf.gz - The Pocillopora SNPs referred to as 'linked' in the Methods of the associated manuscript.</p> <p>Pocillopora_meandrina_v3_11Islands_maf05_minQ30_biallelic_nomiss.linked.Hume_et_al_2022.zenodov2.vcf.gz.md5 - md5 of the the Pocillopora linked SNPs.</p> <p>Pocillopora_meandrina_v3_11Islands_maf05_minQ30_biallelic_nomiss_LD02.unlinked.Hume_et_al_2022.zenodov2.vcf.gz - The Pocillopora SNPs referred to as 'unlinked' in the Methods of the associated manuscript.</p> <p>Pocillopora_meandrina_v3_11Islands_maf05_minQ30_biallelic_nomiss_LD02.unlinked.Hume_et_al_2022.zenodov2.vcf.gz.md5 - md5 of the the Pocillopora unlinked SNPs.</p> <p>Porites_lobata_v3_11Islands.raw.Hume_et_al_2022.zenodov2.vcf.genozip - The Pocillopora SNPs referred to as 'raw' in the Methods of the associated manuscript. Compressed using genozip (https://genozip.readthedocs.io/index.html).</p> <p>Porites_lobata_v3_11Islands.raw.Hume_et_al_2022.zenodov2.vcf.genozip.md5 - md5 of the the Pocillopora raw SNPs.</p> <p>Porites_lobata_v3_11Islands_maf05_minQ30_biallelic_nomiss.linked.Hume_et_al_2022.zenodov2.vcf.gz - The Pocillopora SNPs referred to as 'linked' in the Methods of the associated manuscript.</p> <p>Porites_lobata_v3_11Islands_maf05_minQ30_biallelic_nomiss.linked.Hume_et_al_2022.zenodov2.vcf.gz.md5 - md5 of the the Pocillopora linked SNPs.</p> <p>Porites_lobata_v3_11Islands_maf05_minQ30_biallelic_nomiss_LD02.unlinked.Hume_et_al_2022.zenodov2.vcf.gz - The Pocillopora SNPs referred to as 'unlinked' in the Methods of the associated manuscript.</p> <p>Porites_lobata_v3_11Islands_maf05_minQ30_biallelic_nomiss_LD02.unlinked.Hume_et_al_2022.zenodov2.vcf.gz.md5 - md5 of the the Pocillopora unlinked SNPs.</p> <p>PANAMA2021.raw.Hume_et_al_2022.zenodov2.vcf.gz - The Millepora SNPs referred to as 'raw' in the Methods of the associated manuscript.</p> <p>PANAMA2021.raw.Hume_et_al_2022.zenodov2.vcf.gz.md5 - md5 of the the Millepora raw SNPs.</p> <p>Millepora_REF_orthologue_genes.Hume_et_al_2022.zenodov2.csv - The Millepora gene list referred to as 'target genes' in the Methods of the associated manuscript.</p> <p>Mil_transcriptom.Hume_et_al_2022.zenodov2.fa.gz - The Millepora de novo assembled transcriptome.</p> <p>Mil_transcriptom.Hume_et_al_2022.zenodov2.fa.gz.md5 - md5 of the Millepora de novo assembled transcriptome.</p> <p> </p> <p>mtORF Phylogeny</p> <p>TP-Johnston_mtORF-Pocillo.fa = all sequences</p> <p>TP-Johnston_mtORF-Pocillo.mafft.fa = mafft alignment</p> <p>TP-Johnston_mtORF-Pocillo.mafft.ML.nwk = ML tree newick</p> <p> </p> <p>Hellberg genotype network Porites</p> <p>TP-Hellberg_MM32-Porites.nex = all aligned sequences for this locus with indels encoded</p> <p>TP-Hellberg_MM100-Porites.nex = all aligned sequences for this locus with indels encoded</p> <p>TP-Hellberg_ATPaseB.nex = all aligned sequences for this locus with indels encoded,</p> <p>TP-Hellberg_POFAD.nex = POFAD multilocus genotypic distance,</p> <p>TP-Hellberg_Splitstree.nex= Multilocus genotype network in nexus format</p> <p><br> Gradient Forest Analysis</p> <p>Poc_abund.csv - Pocillopora SSH Occurrences per Site er Island</p> <p>Por_abund.csv - Porites SSH Occurrences per Site er Island</p> <p>mean_depth_por.csv - per site per island mean depth among Porites colonies</p> <p>mean_depth_poc.csv - per site per island mean depth among Pocillopora colonies</p>
Alliance of Genome Resources Genetic Interactions
<p>These files provide a set of annotations of genetic interactions for genes for human, rat, mouse, zebrafish, fruit fly, nematode, African clawed frog,and yeast). The files are in the <a href="https://github.com/HUPO-PSI/miTab/blob/master/PSI-MITAB27Format.md">PSI-MI TAB 2.7 format</a>, a tab-delimited format established by the <a href="http://www.psidev.info/">HUPO Proteomics Standards Initiative</a> Molecular Interactions (PSI-MI) working group. The interaction data are sourced from Alliance members WormBase and FlyBase, as well as the <a href="https://thebiogrid.org/">BioGRID database</a>. Identities or types of genetic perturbations for each interactor (if available) are provided in columns 26 and 27 and relevant phenotypes or traits (if available) are provided in column 28.</p> <ul> <li>Homo sapiens (human; NCBI:txid 9606)</li> <li>Caenorhabditis elegans (nematode; NCBI:txid 6239)</li> <li>Danio rerio (zebrafish;NCBI:txid 7955)</li> <li>Drosophila melanogaster (fruit fly; NCBI:txid 7227)</li> <li>Mus musculus (mouse; NCBI:txid10090)</li> <li>Rattus norvegicus (rat; NCBI:txid 10116)</li> <li>Saccharomyces cerevisiae (yeast; NCBI:txid 559292)</li> <li>Xenopus laevis (African clawed frog; NCBI:txid 8355)</li> </ul>
New Soil Metagenome-Assembled Genomes Catalogue Boosts Genetic Resources
<p><strong>Soil harbors a vast expanse of unidentified microbes, termed as microbial dark matter, presenting an untapped reservoir of microbial biodiversity and genetic resources, but has yet to be fully explored. In this study, we conducted the first large-scale excavation of soil microbial dark matter by reconstructing 40,039 metagenome-assembled genome bins (the SMAG catalog) from 3,304 soil metagenomes. We identified 16,530 of 21,077 species-level genome bins (SGBs) as unknown SGBs (uSGBs), which greatly expand archaeal and bacterial diversity across the tree of life. We also illustrate the pivotal role of uSGBs in augmenting soil microbiome's functional landscape and intra-species genome diversity, providing large proportions of the 43,169 biosynthetic gene clusters and 8,545 CRISPR-Cas genes. Additionally, we determined that uSGBs contributed 84.6% of novel viral-host associations identified from the SMAG catalog. Our results propose the SMAG catalog, a novel and expansive genomic resource that brings the soil microbial biodiversity and novel genetic resources to light.</strong></p>
Evaluation of buckwheat genetic resources in Slovenia within the ECOBREED project
<p>Publication and supplementary data:</p> <p>Data related to the publication in Fagopyrum 40 (2):67-76: field evaluation data (seed weight, plant height, protein content) and concentrations of phenolic compounds and antioxidant capacity of 17 buckwheat genetic resources and 6 commercial varieties tested in two years (2020 & 2021) in Slovenia.</p>
High-density genetic linkage mapping in Sitka spruce advances the integration of genomic resources in conifers
<p><span>In species with large and complex genomes such as conifers, dense linkage maps are a useful for supporting genome assembly and laying the genomic groundwork at the structural, populational and functional levels. However, most of the 600+ extant conifer species still lack extensive genotyping resources, which hampers the development of high-density linkage maps. In this study, </span><span><span>we developed a linkage map relying on 21,570 SNP makers in </span></span><span>Sitka spruce (<em>Picea sitchensis</em> [Bong.] Carr.)</span><span><em><span>, </span></em></span><span><span>a long-lived conifer from western North America that is widely planted for productive forestry in the British Isles. </span></span><span>We used a single-step mapping approach to efficiently combine RAD-Seq and genotyping array SNP data for 528 individuals from two full-sib families. As expected for spruce taxa, the saturated map contained 12 linkages groups with a total length of 2,142 cM. The positioning of 5,414 unique gene coding sequences allowed us to compare our map with that of other Pinaceae species, which provided evidence for high levels of synteny and gene order conservation in this family. We then developed an integrated map for <em>P. sitchensis</em> and <em>P. glauca</em> based on 27,052 makers and 11,609 gene sequences. Altogether, these two linkage maps, the accompanying catalog of 286,159 SNPs and the genotyping chip developed herein opens new perspectives for a variety of fundamental and more applied research objectives, such as for the improvement of spruce genome assemblies, or for marker-assisted sustainable management of genetic resources in Sitka spruce and related species.</span></p>
Fig. 2 in Characterization Of Latvian Alfalfa Medicago Sativa Genetic Resources
Fig. 2. Histograms of flow cytometric analysis for alfalfa leaves: (A) tetraploid plant of accession Skrīveru and (B) diploid plant of accession Dzelmes.
Fig.4 in A Review Of Latvian Blue (Lz) Cows From The List Of Animal Genetic Resources In Latvia
Fig.4. Association analysis between genotypes of A and B alleles of alpha – lactalbumin gene and protein content (%) at the first three lactations. Bar with a straight edge points to signs of an average group size with a standard deviation; * - refers to the association with the performance at a particular lactation; F – index of ANOVA; p F – statistical signification; η – index of correlation analyse.
Database of Pines from the Forests paper: "Intraspecific Variation in Pines from the Trans-Mexican Volcanic Belt Grown Under Two Watering Regimes: Implications for Management of Genetic Resources"
<p>Raw data from the Forests paper: "Intraspecific Variation in Pines from the Trans-Mexican Volcanic Belt Grown under Two Watering Regimes: Implications for Management of Genetic Resources" Forests <strong>2018</strong> <em>9</em>(2), 71. doi:<a href="http://dx.doi.org/10.3390/f9020071">10.3390/f9020071. </a></p> <p>The database correspond to seedlings of four Mexican pines: <em>P. oocarpa, P. patula</em> and <em>P. pseudostrobus</em>, that were submitted to two watering treatments: Field Capacity (FC) and Drought-Stress (DS), during 90 days. Growth and biomass, survival and ontogenetic score were measured.</p>
Taking advantage from phenotype variability in a local animal genetic resource: identification of genomic regions associated with the hairless phenotype in Casertana pigs
<p>Ped and Map files for 96 Casertana breed pigs genotyped with Illumina BeadChip 60K Porcine.<br> The first field of the ped file contains the id of the farm (1az-6az).<br> The hairless phenotype, in the ped phenotype field, is codified as 1, the hairy phenotype is codified as 2.</p>
Fig. 5 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation
Fig. 5. Decision tree used for specimens euthanized to obtain tissue. Blue indicates steps in the decision tree. Green indicates procedures that will lead to preservation of tissues for genetic study. Purple indicates procedures that lead to achieving multiple goals, including cell culture and obtaining gametes for current or future ARTs. NOTE: Breeding and IVF can result in offspring that can be used for genetic purposes, thereby achieving multiple goals.
Fig. 6 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation
Fig. 6. Decision tree used to obtain tissue from live animals. Blue indicates steps in the decision tree. Green indicates procedures that will lead to preservation of tissues for genetic study. Purple indicates procedures that lead to achieving multiple goals, including obtaining gametes for current or future ARTs. NOTE: Breeding and IVF can result in offspring that can be used for genetic purposes, thereby achieving multiple goals.
Fig. 4 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation
Fig. 4. Length of time from cell culture initiation to freezing for amphibian cell lines in San Diego Zoo's Frozen Zoo®. Low = 19 days; high = 596 days; average = 154 days.
Fig. 3 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation
Fig. 3. The "tissue piecing" protocol used to preserve viable cells for establishment of cell lines in the future. A) Tissue is cut into long, thin strips. B) Tissue is diced into 1 mm3 fragments before adding medium containing 10% DMSO as a cryoprotectant. C) Prepared tissue is stored in LN2 until future cell culture is possible; those without cell culture capability can transport samples using a dry shipper to maintain cold-chain.
Fig. 2 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation
Fig. 2. Procedures used to obtain amphibian eggs or sperm for use in ARTs. A) Gravid female Leopard Frog (Lithobates sp.) after gonadotropic hormone injection. B) Expressing eggs into container by pressing on abdomen and pushing thumb toward cloaca; eggs can be fertilized (i.e., IVF) by fresh or cryopreserved sperm. Sperm can similarly be released from males by pushing towards the cloaca and releasing sperm naturally (in season) or after injection of gonadotropic hormones (e.g., HIS).
Fig. 1 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation
Fig. 1. Role of genetic resource collections in the research and conservation of amphibians. Green indicates the storage of tissues in biobanks. Purple indicates procedures associated with ARTs that lead to achieving multiple goals in amphibian research and conservation. Asterisk (*) denotes tissue or methodologies that are not currently used in ARTs but may be possible in the future. NOTE: For a more complete list of ARTs reference Clulow et al. (2014).
FIGURE 3 in The most important fishery resource in the Amazon, the migratory catfish Brachyplatystoma vaillantii (Siluriformes: Pimelodidae), is composed by an unique and genetically diverse population in the Solimões-Amazonas River System
FIGURE 3 | Analysis of the BAPS 6.0 program showing three clusters (green, red, and blue) distributed between the five sampled locations of Brachyplatystoma vaillantii.
FIGURE 2 in The most important fishery resource in the Amazon, the migratory catfish Brachyplatystoma vaillantii (Siluriformes: Pimelodidae), is composed by an unique and genetically diverse population in the Solimões-Amazonas River System
FIGURE 2 | Network of Brachyplatystoma vaillantii haplotypes. The number shown within a circle identifies the number of specimens sharing those haplotypes; circles without numbers represent unique haplotypes. White circles represent hypothetical intermediate haplotypes. Each locality is represented by the same colors in Fig. 1: red – Tabatinga, orange – Tefé, green – Manaus, purple – Santarém and blue – Estuary.
FIGURE 1 in The most important fishery resource in the Amazon, the migratory catfish Brachyplatystoma vaillantii (Siluriformes: Pimelodidae), is composed by an unique and genetically diverse population in the Solimões-Amazonas River System
FIGURE 1 | Sampling sites for Brachyplatystoma vaillantii along the Solimões-Amazonas River axis. The localities were grouped in five fishing landing towns as follow: Red circles: Tabatinga (1 – Benjamin Constant, 2 – Tabatinga), Orange circles: Tefé (3 – Mucura Lake, 4 – Tefé, 5 – Vila Nova), Green circles: Manaus (6 – Manaus, 7 – Careiro da Várzea), Purple circles: Santarém (8 – Santarém, 9 – Tapará) and Blues circles: Estuary (10 – Almeirim, 11 – Gurupá, 12 – Breves, 13 – Belém, 14 – Salvaterra).
FIGURE 4 in The most important fishery resource in the Amazon, the migratory catfish Brachyplatystoma vaillantii (Siluriformes: Pimelodidae), is composed by an unique and genetically diverse population in the Solimões-Amazonas River System
FIGURE 4 | Analysis of the FASTBAPS program. Numbers are individual sequence of Brachyplatystoma vaillantii. Colors ranging from red for the lowest probabilities and clear yellow for the highest probabilities support for bootstrap.
High-density genetic linkage mapping in Sitka spruce advances the integration of genomic resources in conifers
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