46 research outputs found

    A database of global coastal conditions.

    Get PDF
    Remote sensing satellite imagery has the potential to monitor and understand dynamic environmental phenomena by retrieving information about Earth's surface. Marine ecosystems, however, have been studied with less intensity than terrestrial ecosystems due, in part, to data limitations. Data on sea surface temperature (SST) and Chlorophyll-a (Chlo-a) can provide quantitative information of environmental conditions in coastal regions at a high spatial and temporal resolutions. Using the exclusive economic zone of coastal regions as the study area, we compiled monthly and annual statistics of SST and Chlo-a globally for 2003 to 2020. This ready-to-use dataset aims to reduce the computational time and costs for local-, regional-, continental-, and global-level studies of coastal areas. Data may be of interest to researchers in the areas of ecology, oceanography, biogeography, fisheries, and global change. Target applications of the database include environmental monitoring of biodiversity and marine microorganisms, and environmental anomalies

    Molt-dependent transcriptomic analysis of cement proteins in the barnacle Amphibalanus amphitrite

    Full text link
    Abstract Background A complete understanding of barnacle adhesion remains elusive as the process occurs within and beneath the confines of a rigid calcified shell. Barnacle cement is mainly proteinaceous and several individual proteins have been identified in the hardened cement at the barnacle-substrate interface. Little is known about the molt- and tissue-specific expression of cement protein genes but could offer valuable insight into the complex multi-step processes of barnacle growth and adhesion. Methods The main body and sub-mantle tissue of the barnacle Amphibalanus amphitrite (basionym Balanus amphitrite) were collected in pre- and post-molt stages. RNA-seq technology was used to analyze the transcriptome for differential gene expression at these two stages and liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) was used to analyze the protein content of barnacle secretions. Results We report on the transcriptomic analysis of barnacle cement gland tissue in pre- and post-molt growth stages and proteomic investigation of barnacle secretions. While no significant difference was found in the expression of cement proteins genes at pre- and post-molting stages, expression levels were highly elevated in the sub-mantle tissue (where the cement glands are located) compared to the main barnacle body. We report the discovery of a novel 114kD cement protein, which is identified in material secreted onto various surfaces by adult barnacles and with the encoding gene highly expressed in the sub-mantle tissue. Further differential gene expression analysis of the sub-mantle tissue samples reveals a limited number of genes highly expressed in pre-molt samples with a range of functions including cuticular development, biominerialization, and proteolytic activity. Conclusions The expression of cement protein genes appears to remain constant through the molt cycle and is largely confined to the sub-mantle tissue. Our results reveal a novel and potentially prominent protein to the mix of cement-related components in A. amphitrite. Despite the lack of a complete genome, sample collection allowed for extended transcriptomic analysis of pre- and post-molt barnacle samples and identified a number of highly-expressed genes. Our results highlight the complexities of this sessile marine organism as it grows via molt cycles and increases the area over which it exhibits robust adhesion to its substrate.http://deepblue.lib.umich.edu/bitstream/2027.42/115487/1/12864_2015_Article_2076.pd

    Fusobacterium Genomics Using MinION and Illumina Sequencing Enables Genome Completion and Correction

    No full text
    Fusobacterium spp. are Gram-negative, oral bacteria that are increasingly associated with human pathologies as diverse as periodontitis, preterm birth, and colorectal cancer. While a recent surge in F. nucleatum research has increased our understanding of this human pathogen, a lack of complete genomes has hindered the identification and characterization of associated host-pathogen virulence factors. Here we report the first eight complete Fusobacterium genomes sequenced using an Oxford Nanopore MinION and Illumina sequencing pipeline and assembled using the open-source program Unicycler. These genomes are highly accurate, and seven of the genomes represent the first complete sequences for each strain. In summary, the FusoPortal resource provides a publicly available resource that will guide future genetic, bioinformatic, and biochemical experiments to characterize this genus of emerging human pathogens.Understanding the virulence mechanisms of human pathogens from the genus Fusobacterium has been hindered by a lack of properly assembled and annotated genomes. Here we report the first complete genomes for seven Fusobacterium strains, as well as resequencing of the reference strain Fusobacterium nucleatum subsp. nucleatum ATCC 25586 (total of seven species; total of eight genomes). A highly efficient and cost-effective sequencing pipeline was achieved using sample multiplexing for short-read Illumina (150 bp) and long-read Oxford Nanopore MinION (>80 kbp) platforms, coupled with genome assembly using the open-source software Unicycler. Compared to currently available draft assemblies (previously 24 to 67 contigs), these genomes are highly accurate and consist of only one complete chromosome. We present the complete genome sequence of F. nucleatum subsp. nucleatum ATCC 23726, a genetically tractable and biomedically important strain and, in addition, reveal that the previous F. nucleatum subsp. nucleatum ATCC 25586 genome assembly contains a 452-kb genomic inversion that has been corrected using our sequencing and assembly pipeline. To enable genomic analyses by the scientific community, we concurrently used these genomes to launch FusoPortal, a repository of interactive and downloadable genomic data, genome maps, gene annotations, and protein functional analyses and classifications. In summary, this report provides detailed methods for accurately sequencing, assembling, and annotating Fusobacterium genomes, while focusing on using open-source software to foster the availability of reproducible and open data. This resource will enhance efforts to properly identify virulence proteins that may contribute to a repertoire of diseases that includes periodontitis, preterm birth, and colorectal cancer

    Methods and Code

    No full text
    Auxiliary material associated with the Nature paper, "A database of global coastal conditions". This includes the Exclusive economic zones shapefile (EEZ_shapefile), exclusive economic zones file for R users (EEZ_borders.RDS), and two R scripts (main_code.R and supporting_functions.R) intended to recreate the study analyses

    Differentially expressed regulatory genes and their up-regulated targets.

    No full text
    <p>Differentially expressed regulatory genes and their up-regulated targets.</p

    Topmost alternatively spliced genes in nicotine stressed cells (sqrt(JS) >0.8).

    No full text
    <p>Topmost alternatively spliced genes in nicotine stressed cells (sqrt(JS) >0.8).</p

    Data from: Estimating transient populations of unmarked individuals at a migratory stopover site using generalized N-mixture models

    No full text
    1. Migration counts are popular indices used to monitor population trends over time. Advanced analytical methods for estimating abundance of unmarked, open populations now incorporate population growth models and simultaneously test for covariate effects on abundance and detection probability. However, estimating population abundance at a staging site is complicated by daily immigration and emigration of unmarked individuals. 2. We applied a set of generalized N-mixture models to simulated count data to test their applicability for transient populations. Using simulated datasets, parameters were unbiased when the apparent survival rate varied within a season or was mis-specified in a model, but not when the immigration or detection probability was mis-specified. 3. With knowledge from the simulated data, we applied these models to daily counts of staging migratory shorebirds and estimated daily abundances accounting for variation in the detection and immigration rates. Daily counts of ruddy turnstones (Arenaria interpres) staging at Westhampton Island, New York, were collected during northward migration (1997–1999). We tested the effects of weather and tides on detection probability, and we modeled within-season variation in immigration rates as a function of time. 4. Covariates affecting the detection probability differed among years, but tide height consistently was correlated with detection probability. Accounting for detection and immigration rates, the predicted maximum single-day populations of ruddy turnstones were 172%, 165%, and 129% of the observed counts for each year. 5. Synthesis and applications. Management and conservation plans for migratory species require abundance estimates that are near the true population size though they are difficult to obtain. Our study is the first empirical application of the generalized N-mixture model that incorporates temporal trends in immigration and estimates daily abundance of a staging unmarked migratory population. Correct estimation of population sizes and the environmental factors affecting them can aid the conservation prioritization of species and staging sites. Moreover, the use of generalized N-mixture models can improve our understanding of the environmental factors that shape migratory movements
    corecore