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668 results for “Mussels”
Data on changes in length, width, thickness, weight and displacement volume of blue mussel (Mytilus edulis) from the start to the end of the 13 week study in 2022.
<p>This data file contains the on changes in blue mussel (<em>Mytilus edulis</em>) length, width, thickness, weight and displacement volume from the start to the end of a 13 week study in 2022. The mussels were kept in the NIVA mesocosm facility in the Oslofjord, three replicates in each of 12 basins. Half of the basins had high wave level, half had low wave level. The length of the mussels were measuerd weekly for 13 weeks. Alså the % change from one week to the next is included in the dataset. </p>
Data from: Structure and genetic variability of golden mussel (Limnoperna fortunei) populations from Brazilian reservoirs
The golden mussel, Limnoperna fortunei a highly invasive species in Brazil, has generated productive, economical, and biological impacts. To evaluate genetic structure and variability of L. fortunei populations present in fish farms in the reservoirs of Canoas I (CANFF), Rosana (ROSFF), and Capivara (CAPFF) (Paranapanema river, Paraná, Brazil), eight microsatellite loci were amplified. Five of those eight loci resulted in 38 alleles. The observed heterozygosity (Ho) was lower than the expected heterozygosity (He) in all populations, with a deviation from the Hardy-Weinberg equilibrium (HWE). The average value for the inbreeding coefficient (Fis) was positive and significative for all populations. There was higher genetic variability within populations than among them. The fixation index (Fst) showed a small genetic variability among these populations. The occurrence of gene flow was identified in all populations, along with the lack of a recent bottleneck effect. The clustering analysis yielded K = 2, with genetic similarity between the three populations. The results demonstrate low genetic structure and suggest a founding population with greater genetic variability (ROSFF). Our data point to the possible dispersal of L. fortunei aided by anthropic factors in the upstream direction. It was concluded that the three populations presented a unique genetic pool for Paranapanema river, with occurrence of gene flow.
Data from: Linking genotype to phenotype in a changing ocean: inferring the genomic architecture of a blue mussel stress response with genome-wide association
A key component to understanding the evolutionary response to a changing climate is linking underlying genetic variation to phenotypic variation in stress response. Here we use a genome-wide association approach (GWAS) to understand the genetic architecture of calcification rates under simulated climate stress. We take advantage of the genomic gradient across the blue mussel hybrid zone (Mytilus edulis and Mytilus trossulus) in the Gulf of Maine (GOM) to link genetic variation with variance in calcification rates in response to simulated climate change. Falling calcium carbonate saturation states are predicted to negatively impact many marine organisms that build calcium carbonate shells - like blue mussels. We sampled wild mussels and measured net calcification phenotypes after exposing mussels to a "climate change" common garden, where we raised temperature 3°C, decreased pH by 0.2 units, and limited food supply by filtering out planktonic particles > 5 μm, compared to ambient GOM conditions in the summer. This climate change exposure greatly increased phenotypic variation in net calcification rates compared to ambient conditions. We then used regression models to link the phenotypic variation with over 170,000 single nucleotide polymorphism loci (SNPs) generated by genotype by sequencing to identify genomic locations associated with calcification phenotype, and estimate heritability and architecture of the trait. We identified at least one of potentially 2-10 genomic regions responsible for 30% of the phenotypic variation in calcification rates that are potential targets of natural selection by climate change. Our simulations suggest a power of 13.7% with our study's average effective sample size of 118 individuals and rare alleles, but a power of > 90% when effective sample size is 900.
Data from: Rapid divergence of mussel populations despite incomplete barriers to dispersal
Striking genetic structure among marine populations at small spatial scales is becoming evident with extensive molecular studies. Such observations suggest isolation at small scales may play an important role in forming patterns of genetic diversity within species. Isolation-by-distance, isolation-by-environment, and historical priority effects are umbrella terms for a suite of processes that underlie genetic structure, but their relative importance at different spatial and temporal scales remains elusive. Here, we use marine lakes in Indonesia to assess genetic structure and test relative roles of the processes in shaping genetic differentiation in populations of a bivalve mussel (Brachidontes sp.). Marine lakes are landlocked water bodies of similar age (6,000 – 10,000 years), but with heterogeneous environments and varying degrees of connection to the sea. Using a population genomic approach (double-digest Restriction-site Associated DNA sequencing), we show strong genetic structuring across populations (range FST: 0.07 – 0.24), and find limited gene flow through admixture plots. At large spatial scales (>1400km), a clear isolation-by-distance pattern was detected. At smaller spatial scales (<200km), this pattern is maintained, but accompanied by an association of genetic divergence with degree of connection. No signatures of isolation-by-environment were found. We hypothesize that (incomplete) dispersal barriers can cause initial isolation, allowing priority effects to give the numerical advantage necessary to initiate strong genetic structure. Priority effects may be strengthened by local adaptation, which our data potentially corroborates by showing a high correlation between mussel genotypes and temperature. Our study indicates an often-neglected role of evolution-mediated priority effects in shaping divergence.
Data from: Blue mussel (Genus Mytilus) transcriptome response to simulated climate change in the Gulf of Maine
<p>The biogeochemistry of the Gulf of Maine is rapidly changing in response to a changing climate, including rising temperatures, acidification, and declining primary productivity. These impacts are projected to worsen over the next hundred years and will apply selective pressure on populations of marine calcifiers. This study investigates the transcriptome expression response to these changes in ecologically and economically important marine calcifiers, blue mussels. Wild mussels (<i>Mytilus edulis</i> and <i>M. trossulus</i>) were sampled from sites spanning the Gulf of Maine and exposed to two different biogeochemical water conditions: i. present-day conditions in the Gulf of Maine and ii. simulated future conditions that included elevated temperature, increased acidity, and decreased food supply. Patterns of gene expression were measured using RNA-seq from 24 mussel samples and contrasted between ambient and future conditions. The net calcification rate, a trait predicted to be under climate-induced stress, was measured for each individual over a 2-week exposure period and used as a covariate along with gene expression patterns. Generalized linear models, with and without the calcification rate, were used to identify differentially expressed transcripts between ambient and future conditions. The comparison revealed transcripts that likely comprise a core stress response characterized by the induction of molecular chaperones, genes involved in aerobic metabolism, and indicators of cellular stress. Furthermore, the model contrasts revealed transcripts that may be associated with individual variation in calcification rate and suggest possible biological processes that may have downstream effects on calcification phenotypes, such as zinc-ion binding and protein degradation. Overall, these findings contribute to the understanding of blue mussel adaptive responses to imminent climate change and suggest metabolic pathways are resilient in variable environments.</p>
Figure 1 in First record of the invasive Asian date mussel Arcuatula senhousia (Benson, 1842) (Mollusca: Bivalvia: Mytilidae) in West Africa
Figure 1. (a) Photograph of the Asian date mussel specimen and (b) location where it was collected (circle), in a vast mudflat off the north-western coast of Bubaque in the Bijagós archipelago of Guinea-Bissau, West Africa.
Biomarker responses of the blue mussels to organic UV filters
<p>This is the metadata for the publication: <strong>Falfushynska, H., Sokolov, E. P., Fisch, K., Gazie, H., Schulz-Bull, D. E. and Sokolova, I. M.</strong> (2021). Biomarker-based assessment of sublethal toxicity of organic UV filters (ensulizole and octocrylene) in a sentinel marine bivalve Mytilus edulis. <em>Science of The Total Environment</em> <strong>798</strong>, 149171. DOI: <a href="https://doi.org/10.1016/j.scitotenv.2021.149171">10.1016/j.scitotenv.2021.149171</a></p>
Figure 2 in Characteristics of zebra mussel (Dreissena polymorpha) populations in infested reservoirs, northwest Bulgaria
Figure 2. Principal component analysis (PCA) correlation biplot of the environmental variables. m – Ogosta reservoir sites; & – Rabisha reservoir sites.
Figure 3 in Characteristics of zebra mussel (Dreissena polymorpha) populations in infested reservoirs, northwest Bulgaria
Figure 3. Absolute abundance (ind./m2) and total biomass (g/m2) of zebra mussels at different sampling sites in the Ogosta and Rabisha reservoirs in April 2006.
Figure 2 in Molecular data reveal cryptic lineages within the northeastern Atlantic and Mediterranean small mussel drills of the Ocinebrina edwardsii complex (Mollusca: Gastropoda: Muricidae)
Figure 2. Histogram of the frequency of Kimura twoparameter (K2P) genetic divergence in all pairwise comparisons of cytochrome oxidase subunit I (COI) sequences.
Figure 4 in Molecular data reveal cryptic lineages within the northeastern Atlantic and Mediterranean small mussel drills of the Ocinebrina edwardsii complex (Mollusca: Gastropoda: Muricidae)
Figure 4. Same tree as in Figure 3 obtained by BEAST on the cytochrome oxidase subunit I (COI) alignment, and distribution maps of the vouchers, grouped in the clades resulting from the COI analysis.
Figure 3 in Molecular data reveal cryptic lineages within the northeastern Atlantic and Mediterranean small mussel drills of the Ocinebrina edwardsii complex (Mollusca: Gastropoda: Muricidae)
Figure 3. Consensus tree of a final sample of 104 trees obtained by BEAST on the cytochrome oxidase subunit I (COI) alignment. The black bars on the right delimit the Molecular Operational Taxonolllmic Units (MOTUs) as defined by the three species delimitation methods employed [Automatic Barcode Gap Discovery (ABGD), Generalized Mixed Yule- Coalescent (GMYC) and TCS]. Posterior supports> 0.95 are reported, and only for the nodes subtending the MOTUs. Voucher shells for each MOTU are figured (shells not to scale). 3A, MOTUs A–C; 3B, MOTUs D1–H.
FIGURE 1 in Phylogenetic relationships among Unionicola (Acari: Unionicolidae) mussel-mites of North America based on mitochondrial cytochrome oxidase I sequences
FIGURE 1. Maximum-parsimony (MP; PAUP*4.0b10, Swofford 2002) tree showing phylogenetic relationships among subgenera of Unionicola spp. from North American that occur in association with freshwater mussels based on morphological and life history characters, excluding those related to sites of egg deposition. The analysis revealed 17 parsimony informative characters. Heuristic searches yielded 8 equally parsimonious trees with a length of 39 steps (CI=0.72). Bootstrap (100 pseudoreplicates) support values>50% from MP analysis are reported above the branches.
FIGURE 3 in Phylogenetic relationships among Unionicola (Acari: Unionicolidae) mussel-mites of North America based on mitochondrial cytochrome oxidase I sequences
FIGURE 3. Maximum-likelihood tree showing phylogenetic relationships among representative species of North American Unionicola from subgenera that occur in association with mussels based on partial sequence data of the cox1 gene. Bootstrap support values>50% from MP and ML analysis are reported above the branches. The outgroup species, Unionicola crassipes, is a sponge-associated mite.
FIGURE 2 in Phylogenetic relationships among Unionicola (Acari: Unionicolidae) mussel-mites of North America based on mitochondrial cytochrome oxidase I sequences
FIGURE 2. Maximum-parsimony tree showing phylogenetic relationships among representative species of North American Unionicola from subgenera that occur in association with mussels based on partial sequence data of the cox1 gene. Bootstrap support values>50% from MP and ML analysis are reported above the branches. The outgroup species, Unionicola crassipes, is a sponge-associated mite.
Figure 1 in Evolution of bilaterally asymmetrical larvae in freshwater mussels (Bivalvia: Unionoida: Unionidae)
Figure 1. Bilaterally asymmetrical glochidium of: A, Contradens sp. (UMMZ 304653); B, Physunio eximius (10×; ANSP 3612).
Figure 2 in Evolution of bilaterally asymmetrical larvae in freshwater mussels (Bivalvia: Unionoida: Unionidae)
Figure 2. Most likely topology recovered from the maximum-likelihood (ML) PRANK 5 partition analysis. Inset (A) indicates branch lengths of the transformed cladogram (B). Values above and below the branches indicate ML bootstrap support and Bayesian inference (BI) posterior probability, respectively. Filled boxes represent the reported larval morphologies of each taxon (C).
Figure 3 in Evolution of bilaterally asymmetrical larvae in freshwater mussels (Bivalvia: Unionoida: Unionidae)
Figure 3. Ancestral state reconstruction of larval morphologies in the Unionoida. Node numbers correspond to a schematic of the hypothesized ancestral larval morphology and pie charts depicting the proportional likelihood of ancestral states.
Metagenomic and metatranscriptomics data for Bathymodiolus mussel and deep-sea sponge associated symbionts deposited in NCBI, IMG and other databases
<p>Metagenomic data for the sulfur- and methane-oxidizing symbionts of <em>Bathymodiolus</em> mussels and different sponge species deposited in the Integrated Microbial Genomes (IMG) database of the DOE Joint Genome Institute (http://img.jgi.doe.gov/) and NCBI until October 2018</p>
FIGURE 7 in Redescription of Bathymodiolus septemdierum Hashimoto and Okutani, 1994 (Bivalvia, Mytilida, Mytilidae), a mussel broadly distributed across hydrothermal vent locations in the western Pacific and Indian Oceans
FIGURE 7. Shells of Bathymodiolus septemdierum from Mariana Arc to illustrate more variation in shells of sequenced individuals. B and C have accumulations of iron oxide over the periostracum. Scale bar is 10 mm. (A: SIO accession # M19394; B and C: SIO accession # M19392).
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