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Articles 1 - 5 of 5
Full-Text Articles in Genomics
Data From: Complete Mitochondrial Genomes Of The Spring Pygmy Sunfish (Elassoma Alabamae), Kayla M. Fast, David Lee Pounders, Mayah P. Peterson, Michael W. Sandel
Data From: Complete Mitochondrial Genomes Of The Spring Pygmy Sunfish (Elassoma Alabamae), Kayla M. Fast, David Lee Pounders, Mayah P. Peterson, Michael W. Sandel
Research Data
The Spring Pygmy Sunfish, Elassoma alabamae (Mayden, 1993), is a small species of sunfish (Centrarchiformes) endemic to tributaries to the middle Tennessee River in north Alabama. Elassoma alabamae is the most geographically restricted member of Elassoma and the only species found above the fall line. This species was twice considered extinct and was listed under the Endangered Species Act (ESA) as threatened in 2013. To date, surveys for this species have been limited to traditional invasive methods using dipnets and seines. In order to reduce impacts on sensitive populations, we sequenced the mitochondrial genome with the intent of developing a …
The Future Of Biodiversity Assessment: Using Environmental Dna And Next-Generation Sequencing To Characterize Biological Communities In The Central Highlands Of Arizona, Courtney Turner-Rathbone
The Future Of Biodiversity Assessment: Using Environmental Dna And Next-Generation Sequencing To Characterize Biological Communities In The Central Highlands Of Arizona, Courtney Turner-Rathbone
Undergraduate Research Symposium - Prescott
Historically ecological surveys require significant man hours in the field, utilizing methods which can stress species being observed. In using environmental DNA (eDNA) gathered from air, soil, and water, traditional methods may be supplemented or reduced in order to more efficiently utilize funding and reduce or eliminate stress on surveyed species. Water was collected in replicates using aseptic technique from two different sites, 60 miles apart, along the Verde River. Samples were vacuum filtered within 24 hours through 0.45 μm cellulose nitrate (CN) filters to collect eDNA. DNA extraction from the filters was performed. The polymerase chain reaction (PCR) was …
Complete Bacterial Symbiont Genome Sequences From Anglerfish Cryptopsaras Couesii And Melanocetus Johnsonii, Lindsay L. Freed, Dana Fadera, Dante Fenolio, Tracey Sutton, Jose V. Lopez
Complete Bacterial Symbiont Genome Sequences From Anglerfish Cryptopsaras Couesii And Melanocetus Johnsonii, Lindsay L. Freed, Dana Fadera, Dante Fenolio, Tracey Sutton, Jose V. Lopez
DEEPEND Datasets
These are the complete bacterial symbiont genome sequences from anglerfish Cryptopsaras couesii (individual CC26) and one individual Melanocetus johnsonii. These data were generated and analyzed by the laboratory of Dr Tory Hendry (Cornell University). The full sequences of two symbiotic bacterial genomes have been submitted to public DDBJ/ENA/GenBank repositories under the accessions CP020660- CP020663 (CC26 Cryptopsaras couesii) and NBYY01000001-NBYY01000039 (Melanocetus johnsonii). The total genome size for each of the symbiont species is about 2-2.6 Mb.
Dna Sequences Of The Mitochondrial Cytochrome C Oxidase I (Coi) Genes From Deep Sea Fishes. Cruises Dp01 And Dp02 From May 2015 - August 2015, Andrea Bernard, Max Weber, Kimberly A. Finnegan, Mahmood S. Shivji, Ron Eytan
Dna Sequences Of The Mitochondrial Cytochrome C Oxidase I (Coi) Genes From Deep Sea Fishes. Cruises Dp01 And Dp02 From May 2015 - August 2015, Andrea Bernard, Max Weber, Kimberly A. Finnegan, Mahmood S. Shivji, Ron Eytan
DEEPEND Datasets
The deep sea ecosystem is believed to contain the highest biomass of fish in the oceans. However, the taxonomic diversity in this ecosystem is incompletely described and likely to be vastly underestimated. DNA sequence data (barcodes) have become a key tool to discover hidden biodiversity. We generated mitochondrial DNA barcode datasets based on the Cytochrome c oxidase I (COI) gene from deep sea fishes. These data were analyzed using phylogenetic and statistical methods to reveal cryptic species and make taxonomic linkages between adult fishes and their early life stages. These datasets were generated from fishes collected in the Northern Gulf …
Data From: Genotyping-By-Sequencing For Populus Population Genomics: An Assessment Of Genome Sampling Patterns And Filtering Approaches, Paul G. Wolf, Martin P. Schilling, Aaron M. Duffy, Hardeep S. Rai, Carol A. Rowe, Karen E. Mock, Bryce A. Richardson
Data From: Genotyping-By-Sequencing For Populus Population Genomics: An Assessment Of Genome Sampling Patterns And Filtering Approaches, Paul G. Wolf, Martin P. Schilling, Aaron M. Duffy, Hardeep S. Rai, Carol A. Rowe, Karen E. Mock, Bryce A. Richardson
Browse all Datasets
Continuing advances in nucleotide sequencing technology are inspiring a suite of genomic approaches in studies of natural populations. Researchers are faced with data management and analytical scales that are increasing by orders of magnitude. With such dramatic advances comes a need to understand biases and error rates, which can be propagated and magnified in large-scale data acquisition and processing. Here we assess genomic sampling biases and the effects of various population-level data filtering strategies in a genotyping-by-sequencing (GBS) protocol. We focus on data from two species of Populus, because this genus has a relatively small genome and is emerging …