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Bivalves

Bivalves are a class of mollusks characterized by a shell composed of two hinged valves.
They include clams, oysters, mussels, and scallops, among others.
Bivalves are found in a variety of aquatic environments, both marine and freshwater.
They play important ecological roles as filter feeders, contributing to water purification, and are also of significant commercial and cultiural importance as a food source.
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Most cited protocols related to «Bivalves»

We searched both NCBI and UniProt using BLAST (Gish and States 1993 (link)) with a bait set of five opsin sequences (accession numbers: BAG80696.1; NP_001014890.1; CAA49906.1; O15974.1; P23820.1) and an e-value cutoff of 1e-5. Our first goal was to maximize potential opsins from understudied taxa, so we excluded vertebrates and arthropods from our BLAST search on NCBI and downloaded the top 250 hits per opsin bait. We then searched Uniref90 with the same bait sequences and cutoff value, and downloaded only lophotrochozoan (NCBI taxonomic ID: 1206795) sequences/clusters. We combined all the sequences we recovered from NCBI and Uniref90 with sequences from other publications, which include tardigrades, arthropods, ambulacraria, cubozoan cnidarians and vertebrates (Hering and Mayer 2014 (link); D’Aniello et al. 2015 (link); Davies et al. 2015 (link); Henze and Oakley 2015 (link); Liegertová et al. 2015 (link)). To this initial database of published sequences, we added mollusc opsins that we gathered by running Phylogenetically Informed Annotation, PIA, (Speiser et al. 2014 (link)) on transcriptomes and NCBI TSAs from two cephalopods, three chitons, five gastropods, and three bivalves.
Publication 2016
Arthropods Bivalves Cephalopoda Cnidaria Gastropods Mollusca Opsins Polyplacophora Rod Opsins theasinensin A Transcriptome Vertebrates
The completeness of the genome assembly was estimated with BUSCO v.3 [89 (link)], using a set of 843 conserved metazoan single-copy orthologs as a reference, and the resulting data about the present, fragmented, duplicated, and missing gene models were compared with previous genome assembly efforts carried out in M. galloprovincialis [18 (link), 19 (link)] (Additional file 1: Data Note 1.3.3). The residual presence of artefactual duplications was assessed with the Kmer Analysis Toolkit [90 (link)]. Consensus gene models were obtained by combining transcript alignments generated with PASA v 2.0.2 [91 (link)], bivalve protein alignments created with SPALN v2.2.2 [92 (link)], and ab initio gene predictions obtained with GeneID [93 (link)], GeneMark-ES [94 (link)], GlimmerHMM [94 (link)], and Augustus [95 (link)]. Evidences derived from these methods were assigned different weights and combined into consensus CDS predictions with EvidenceModeler-1.1.1. Gene models were subjected to an additional round of quality control to refine the annotation of UTRs and alternatively spliced exons (Additional file 1: Data Note 2.1 and 2.2). Gene models were functionally annotated with InterPro [96 (link)], KEGG [97 (link)], Blast2GO [98 (link)], SignalP [99 (link)], and NCBI CDsearch [100 (link)] (Additional file 1: Data Note 2.3). The gene models supported by PASA, but lacking a CDS, were considered as non-coding genes and included in a separate annotation track (Additional file 1: Data Note 2.5).
The completeness and integrity of gene models, as well as the genome assembly size and the number and density of gene models, were compared with several other recently sequenced molluscan genomes (Additional file 1: Data Note 3). Each gene model was assigned a support level (high, mild, or low) based on evidence obtained from Lola gills and digestive gland transcriptomes, as well as from several publicly available M. galloprovincialis RNA-seq datasets (Additional file 1: Data Note 4).
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Publication 2020
Bivalves Digestive System Exons Genes Genome Gills Proteins RNA-Seq Transcriptome Untranslated Regions
GenBank data was parsed using a combination of command-line and custom Perl scripts using BioPerl modules [22 (link)]. Tabular data was formatted using Python and plotted in R [23 ]. We use the terminology from Nilsson et al., (2005) and refer to taxa identified to the species rank as ‘fully identified’ and all other taxa as ‘insufficiently identified’ [24 (link)]. We also focused on NCBI nucleotide data deposited from 2003, the year COI barcoding was first introduced to the community, to present (2017) [25 (link)].
The names and taxonomic identifications for all Eukaryotes annotated to the species rank were retrieved from the NCBI taxonomy database using the Entrez query "Eukaryota[ORGN]+AND+species[RANK]" with an ebot script [Accessed November 3, 2017] [26 ]. Taxa were filtered according to the contents of the species field so that only fully identified taxa with a complete Latin binomial (genus and species) were retained. Entries that contained the abbreviations sp., nr., aff., or cf. were discarded. The remaining species names were formatted for use in the next query [species list]. For each year from 2003–2017 [year], records in the NCBI nucleotide database containing COI sequences were retrieved using the Entrez query "("CO1"[GENE] OR "COI"[GENE] OR "COX1"[GENE] OR "COXI"[GENE]) AND "Eukaryota"[ORGN] AND [year][PDAT]) AND [species list]” [2003–2016, accessed November 2017; 2017, accessed April 2018]. GenBank records were parsed, retaining information on year of record deposition and number of fully identified records. For fully identified records, sequence length as well as country and/or latitude-longitude fields were parsed.
We also assessed the number of high quality COI sequences that meet the standards developed between the INSDC and the Consortium for the Barcode of Life by looking for the BARCODE keyword in the GenBank record [11 (link)]. For each year from 2003–2017 [year], records in the NCBI nucleotide database containing COI BARCODE sequences were retrieved using the Entrez query "("CO1"[GENE] OR "COI"[GENE] OR "COX1"[GENE] OR "COXI"[GENE]) AND "Eukaryota"[ORGN] AND [year][PDAT] AND “BARCODE”[KYWD]) AND [species list]”. Fully identified and geotagged records were parsed as described above.
For our application example on freshwater biomonitoring, we retrieved a high-level list of relevant groups from Elbrecht and Leese (2017) to facilitate comparisons across studies [27 (link)]. Target freshwater taxa included: Annelida classes Clitellata and Polychaeta; Insecta (Arthropoda) orders Coleoptera, Diptera, Ephemeroptera, Megaloptera, Odonata, Plecoptera, and Trichoptera; Malacostraca (Arthropoda) orders Amphipoda and Isopoda; Mollusca classes Bivalvia and Gastropoda; and Platyhelminthes class Turbellaria. Within these groups there are likely to be non-freshwater taxa included, however, this method allowed us to quickly gauge the representation of freshwater taxa contained therein. These are also the same groupings often used to summarize results from COI freshwater biomonitoring assessments. A detailed look at specific freshwater taxa at finer taxonomic levels is beyond the scope of this paper and will be published elsewhere. For each freshwater target group we queried the NCBI taxonomy database for records identified to the species rank as described above. These taxon ids were concatenated and used to query the NCBI nucleotide database as described above. We assessed the representation of freshwater indicator taxa in the NCBI nucleotide database and level of annotation as described above.
For our application example on IUCN endangered animal species, we retrieved a list of endangered species names from http://www.iucnredlist.org from all available years (1996, 2000, 2002–2004, 2006–2017) filtering the results for native Animalia species [Accessed Dec. 12, 2017]. We excluded insufficiently identified species containing the terms ‘affinis’, ‘sp.’, or ‘sp. nov.’, leaving us with a list of 4,289 endangered animal species as well as 2,089 synonyms. We submitted this combined list of species names to the ‘NCBI Taxonomy name/id Status Report Page’ (https://www.ncbi.nlm.nih.gov/Taxonomy/TaxIdentifier/tax_identifier.cgi) and retrieved a list of 2,613 taxon ids. For each taxon id, we queried the NCBI taxonomy and nucleotide databases as described above.
To assess the number of COI records unique to the BOLD database compared with the NCBI nucleotide database, we also retrieved records from the BOLD Application Programming Interface (API) as well as from the data releases. Since the BOLD database contains records from several DNA barcode markers such as ITS rDNA for fungi and COI mtDNA for animals, it was necessary to target just the COI records. COI sequences were retrieved from the BOLD API (http://www.boldsystems.org/index.php/API_Public/sequence?) using the terms ‘marker = COI-3P|COI-5P&taxon = ‘ for each Eukaryote phylum except for Arthropoda which was queried separately for each class, and Insecta which was queried separately for each order to enable the download of complete files [Accessed Apr. 26, 2018]. Lists of Eukaryote phyla, Arthropoda classes, and Insecta orders were retrieved from the BOLD taxonomy browser (http://www.boldsystems.org/index.php/TaxBrowser_Home). COI records were also retrieved from the BOLD data releases (http://www.boldsystems.org/index.php/datarelease). All available releases of animal COI records up to and including Release 6.50v1 were individually downloaded and parsed. Note that the records retrieved from the data releases may not be as current as those retrieved through the BOLD API.
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Publication 2018
affinis Amphipoda Animals Annelida Arthropods Beetles Bivalves Diptera DNA, Mitochondrial DNA, Ribosomal Endangered Species Ephemeroptera Eukaryota Flatworms Fungi Gastropods Genes Insecta Isopoda Markers, DNA Mollusca Nucleotides Odonata Patient Discharge Polychaeta PTGS1 protein, human Python Turbellaria
Transcriptome data were obtained for 40 molluscan taxa, including 31 newly sequenced bivalve transcriptomes that had been selected based on prior studies [13 (link),20 (link),25 (link)] to maximize the diversity of living bivalve lineages (electronic supplementary material, table S1). Full genome data were included for the gastropod Lottia gigantea [33 (link)] and for the pteriomorphian Pinctada fucata [34 (link)]. All six major bivalve lineages were represented by at least two species: Protobranchia (3), Pteriomorphia (6), Palaeoheterodonta (3), Archiheterodonta (3), Anomalodesmata (2) and Imparidentia (17). Tissues were preserved in three ways for RNA work: (i) flash-frozen in liquid nitrogen and immediately stored at −80°C; (ii) immersed in at least 10 volumes of RNAlater (Ambion) and frozen at −80°C or −20°C; (iii) transferred directly into Trizol reagent (Invitrogen, Carlsbad, CA) and immediately stored at −80°C.
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Publication 2015
Bivalves Freezing Gastropods Genome Nitrogen Pinctada Tissues Transcriptome trizol
Complete mitochondrial genomes of bivalves and other mollusks were downloaded from GenBank in November 2011 (Additional file 3). Summarizing, we included in our dataset 30 bivalves, 23 gastropods, 6 cephalopods, 1 scaphopod, 1 polyplacophoran, 1 chaetodermomorph, and the polychaete outgroup Platynereis dumerilii[70 (link)]. We assessed phylogenetic representativeness of this sample through the AvTD method as in [49 (link)]. We used the software PhyRe [71 (link)] and set the number of splits, merges, and moves to 2, shuffling at the family level. Sequences were managed through CLC Sequence Viewer 6.6.2 (CLC bio A/S), Microsoft Excel® 2007, and MEGA 5.03.
Each gene, with the exception of atp8, was separately translated into amminoacids and aligned with MAFFT 6 [72 (link)] and Muscle 3.8.31 [73 (link),74 (link)], using the M-Coffee merging algorithm [75 (link),76 (link)]. Gblocks [77 (link),78 (link)] was used to select blocks of conserved positions suitable for phylogenetic analysis under default (stringent) conditions.
PartitionFinderProtein 1.0.1 [79 (link)], using the greedy option and Bayesian Information Criterion (BIC), tested the best partitioning scheme of our dataset, which was chosen for subsequent analysis, as well as the concatenated alignment and the completely partitioned model. Best-fitting amminoacid substitutions models were selected with ProtTest 3.2 ([80 (link)]; and reference therein), through Phyml [81 (link)] and BIC for model selection.
The software RAxML 7.2.8 [82 (link),83 (link)] was used for maximum likelihood analyses, using both the fast (−x) and the standard (−b) bootstrap algorithm with 200 replicates. The PROTCAT model [84 ] was implemented for optimization of individual per-site substitution rates, using models suggested by ProtTest 3.2. Trees were graphically edited by PhyloWidget [85 (link)], Dendroscope [86 (link)], and Inkscape softwares.
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Publication 2013
Bivalves Cephalopoda Coffee Gastropods Genes Genome, Mitochondrial Mollusca Muscle Tissue Trees

Most recents protocols related to «Bivalves»

Twenty-four well-assembled lophotrochozoan genomes were selected for phylogenetic analysis, include one annelid (Helobdella robusta) as outgroup, 21 bivalves (Archivesica marissinica, Argopecten concentricus, Argopecten irradians, Conchocele bisecta, Crassostrea gigas, Crassostrea virginica, Cyclina sinensis, Gigantidas platifrons, Lutraria rhynchaena, Mactra quadrangularis, Mercenaria mercenaria, Mizuhopecten yessoensis, Modiolus philippinarum, Mytilus coruscus, Pecten maximus, Pinctada fucata, Pinctada imbricata, Ruditapes philippinarum, Saccostrea glomerata, Scapharca broughtonii, Sinonovacula constricta), 5 gastropods (Aplysia californica, Chrysomallon squamiferum, Lottia gigantea, Haliotis rufescens, Pomacea canaliculata), and 2 cephalopods (Octopus bimaculoides and Octopus vulgaris) [22 (link), 26 (link), 52 (link), 113 (link)–132 ]. SonicParanoid v1.3.0 was used to define gene family clusters among different species [133 (link)]. The amino acid sequences of one-to-one single-copy orthologous genes were used to reconstruct their phylogenetic topology. The protein sequences were aligned using MAFFT v7.407 under default settings [134 (link)], and then were concatenated for phylogenetic analysis using a maximum-likelihood method implemented in IQ-TREE v 2.0.6 with the “-m MFP” parameter was applied to each protein partition [135 (link)]. To estimate divergence times, the rooted maximum-likelihood tree, along with a concatenated fourfold degenerate site sequence extracted from single-copy CDS (coding sequence), was used as the input of MCMCtree software implemented in PAML v4.8 [136 (link)]. For calibration, nine nodes were constrained by either fossil records obtained from website of TimeTree.
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Publication 2023
Amino Acid Sequence Aplysia Bivalves Cephalopoda Crassostrea gigas Crassostrea virginica Gastropods Genes Genome Mercenaria Mizuhopecten yessoensis Mytilus Octopus Open Reading Frames Pecten maximus Pinctada Proteins Scapharca Trees
To evaluate the temporal dynamics of expanded gene families during the evolution of C. bisecta, the nucleotide substitution rates of bivalves were calculated by the branch distance divided by the estimated divergence time using MCMCtree. With default settings of MAFFT and “-automated1” option of trimAl v1.4 [139 (link)], all paralogs of the target gene family were aligned to determine the time required for gene duplication. The Nei-Gojobori pairwise codeml method was used to determine the dN values for all aligned pairs. Divergence times of gene pairs were estimated using the equation T = K/2r [140 (link)], where T is the insertion time, and r is the nucleotide substitution rate. The relationships between different gene pairs are determined following the DupGen_Finder (https://github.com/qiao-xin/DupGen_finder) pipeline, using Nematostella vectensis as a reference genome.
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Publication 2023
Biological Evolution Bivalves Gene Duplication Genes Genetic Drift Genome Nucleotides
For expansion and contraction analysis, in addition to genome of C. bisecta, we selected 7 representatives with good BUSCO performance out of the 15 collected bivalve genomes. The selected genomes include that of the only two published endosymbiotic bivalves (A. marissinica, G. platifrons) [22 (link), 26 (link)], and 5 asymbiotic bivalves (Crassostrea gigas, L. rhynchaena, M. yessoensis, Modiolus philippinarum, P. fucata) which were separated in different bivalve clades and not known to host chemosynthetic bacteria. Before analysis, HMMSCAN (HMMER v3.1) was applied to identify Pfam domains in protein-coding gene sequences among the selected bivalve. The Pfam domains of the respective species were counted to construct a data frame, while multiple copies of a same domain in the same gene were counted as one.
Gene family analyses in the symbiotic bivalves were conducted using one-tailed Fisher’s exact tests for either expansion or contraction. In detail, for gene expansion/contraction at the protein domain level, we first calculated the counts of each Pfam domain in each genome of the 8 analyzed species, and the Pfam domain counts in each of the symbiotic bivalves (A. marissinica, C. bisecta, G. platifrons) was compared against the background average domain counts of the five asymbiotic bivalve genomes (Crassostrea gigas, L. rhynchaena, M. yessoensis, Modiolus philippinarum, P. fucata), which method was employed by Sun et al. for comparative genomic analysis [26 (link)]. Furthermore, we conducted the same analysis with the gene counts of each KEGG ortholog on each of the three symbiotic bivalves. After that, Pfam domain or KEGG ortholog with a P value less than 0.05 is considered statistically expanded or contracted in the three symbiotic bivalves. Finally, the evolutionary patterns of A. marissinica, C. bisecta, and G. platifrons were compared according to the expansion/contraction results by Fisher’s exact tests.
For phylogenetic analysis of each gene family, we employed Muscle v3.8.31 for multiple sequence alignment [137 (link)], and the phylogenetic trees were constructed with FastTreeMP v2.1.10 [138 (link)]. Specially, for reported expansion events of subfamilies of hemoglobin, which were not included in the KEGG database, we performed additional alignment with the sequences mentioned in Ip et al. [22 (link)] using Diamond, and phylogenetic analysis was conducted as the same.
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Publication 2023
Bacteria Biological Evolution Bivalves Comparative Genomic Hybridization Crassostrea gigas Diamond Endosymbiosis Gene Products, Protein Genes Genome Hemoglobin Muscle Tissue Protein Domain Reading Frames Sequence Alignment Symbiosis

Aequiyoldia cf. eightsii for the experiments were collected in Southern South America (SSA) in October 2017 and in West Antarctic Peninsula (WAP) in January 2018. Bivalves from SSA were hand-collected by SCUBA divers in the shallow subtidal (<3 m depth) in the Rinconada Bulnes, Strait of Magellan, Chile (53°37′52″S; 70°56′54″W) on a single day in October 2017. Antarctic bivalves were collected on a single sampling day in January 2018 from one site in Potter Cove, King George Island (KGI), South Shetlands (62°14′11″S; 58°40′14″W) in 6 m water depth using a Van Veen grab (Supplementary Figure S1). At the sampling site, local in situ temperature and salinity were recorded with a Multiparameter HANNA (HI 9828) in SSA and with a Sea-Bird CTD (SBE19plusV2, Sea-Bird Electronics, Bellevue, WA, United States) at KGI, WAP. In addition, sediment cores were taken by SCUBA divers using cylindrical Plexiglas corer (height: 50 cm, diameter: 8 cm; 3 replicates per station) for analyses of total organic carbon (TOC) and total sulphur (TS) in the first 2 cm sediment-layer, and the ratio TOC: TS was calculated as a proxy of sediment oxygenation conditions (Togunwa and Abdullah, 2017 (link)). Physico-chemical data at the collection sites are shown in Supplementary Table S1. Experimental temperature conditions were set based on the in situ environmental conditions and on the existing data for both sites. The sea temperature in the coastal areas (<50 m depth) of the South Shetlands Islands (data for Potter Cove and Fildes Bay) varies annually between −2°C and 1.5°C, while in summer it varies mainly between 0.5°C and 1.5°C, reaching occasionally a maximum of 2°C. In the Strait of Magellan the annual temperature ranges from 5.9°C to 9.9°C in sublittoral waters, while in summer it ranges from 7°C to 9.9°C (Cardenas et al., 2020 (link); Barlett et al., 2021 (link)).
At each location, bivalves were transported to the local research facility in insulated containers filled with water and sediment from the sampling site. Once in the laboratory, bivalves were immediately sorted from the muddy sediment, checked for shell damage and vitality (protruded foot in motion), and transferred to an aquarium supplied with seawater from the collection site and here maintained at in situ temperature. The bottom of the aquarium was covered with a 2 cm thick layer of sediment from the sampling site and allowed to settle for 2 h before adding the animals, and the aquarium was provided with aeration with the help of bubble stones and maintained in the dark during 10 days for acclimation. Incubation water was replaced with water from each sampling site every 48 h.
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Publication 2023
A(2)C Acclimatization Animals Aves Bivalves Calculi Carbon Cell Respiration Foot Plexiglas Salinity Sulfur
After the acclimation period, four replicates of five animals each were subjected to each of the four combinations of temperature and oxygen concentration during 18 days in WAP and 21 days in SSA. The animals were randomly placed in 500 ml Kautex jars containing a 1 cm layer of sediment and water from the respective collection site. Each jar was then assigned to be exposed to treatment under one of the following experimental conditions: in WAP: In situ (1.5°C) and warming (4°C) in combination with normoxia (TisOxn, TwOxn) and hypoxia (TisOxhyp, TwOxhyp); in SSA: In situ (7°C) and South migration future scenario (4°C) in combination with normoxia (TisOxn, TcOxn) and hypoxia (TisOxhyp, TcOxhyp). The water temperature inside the jars was kept constant by submerging the jars in temperature-controlled water baths (Thermo Haake DC10-P21). Hypoxic conditions were created by providing the experimental units with a continuous water flow with 2% O2 saturation, with flow velocity adjusted to achieve the exchange of the total water volume of the jars (500 ml) in the course of 1 day. The water was supplied from a 10 L tank bubbled with a gas mixture 2% O2:98% N2. This design could not be replicated in the normoxic treatment, since a test run with continuous water flow at 21% O2 saturation through the hermetically sealed lids showed that animal and sedimentary/microbial respiration decreased oxygen to below 15% saturation within some hours, with uncontrollable variation between replicates and over time. Therefore, normoxic conditions were ensured by directly bubbling each experimental jar with air and manually replacing the total volume of water in each jar every day (without stirring up the sediment).
In both experiments, one animal per jar (i.e., four replicates per treatment) was collected at day 10 (t1) for differential gene expression analysis. In the experiment in SSA, an additional step was conducted on day 18, by further decreasing the temperature in the TcOxn treatment from 4°C down to 2°C (Tc+Oxn). On day 21 (t2), one bivalve per jar was collected from TisOxn and Tc+Oxn treatments for differential gene expression analysis (Figure 1). Animals were immediately dissected on ice under a stereomicroscope after collection, and mantle tissue was conserved in RNA later (SIGMA) and stored at −80°C.
During the total period of both experiments, temperature was recorded continuously (one measure per minute) in both experimental water baths, and measurements of oxygen were performed daily in each of the four replicates in the four treatments (Figure 1). Oxygen measurements were made approximately 1 cm away from the water-sediment interface, introducing the sensor through a small gate in the lid of the jars; outside the measurement periods these openings were kept sealed. For a graphical representation of the experimental design see Supplementary Figure S2.
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Publication 2023
Acclimatization Animals Bath Bivalves Cell Respiration Gene Expression Profiling Hypoxia Oximetry Oxygen Oxygen-18 Tissues

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More about "Bivalves"

Bivalves are a fascinating class of mollusks that are characterized by their unique shell structure, consisting of two hinged valves.
This diverse group includes a wide range of aquatic creatures, such as clams, oysters, mussels, and scallops, found in both marine and freshwater environments.
These remarkable organisms play crucial ecological roles as filter feeders, contributing to water purification and maintaining the balance of aquatic ecosystems.
Bivalves are also of significant commercial and cultural importance, serving as a valuable food source for humans.
Researchers studying bivalves may utilize advanced tools and techniques to streamline their workflow and optimize their research.
One such tool is PubCompare.ai's AI-powered platform, which can help researchers easily locate the best protocols from literature, preprints, and patents, using intelligent search and comparison tools.
When studying bivalves, researchers may also employ a variety of laboratory techniques and equipment, such as the DNeasy Blood & Tissue Kit for DNA extraction, the PowerSoil DNA Isolation Kit for soil-based samples, Antifade reagents for fluorescence microscopy, Proteinase K solution for protein digestion, RNAlater for RNA stabilization, and TRIzol reagent for RNA extraction.
Additionally, researchers may utilize CHROMagar Vibrio media for the selective isolation and identification of Vibrio species, the EF 100mm F2.8 L IS USM Macro lens for high-quality photographic documentation, and the Nanodrop 2000 instrument for accurate quantification of nucleic acids.
Data analysis for bivalve studies may involve the use of statistical software, such as Statistica 10, to perform sophisticated analyses and uncover meaningful insights from the collected data.
By leveraging the power of AI-driven analysis and a suite of specialized tools and techniques, researchers can streamline their bivalve studies, identify the most effective protocols, and optimize their workflows, ultimately contributing to a deeper understanding of these fascinating aquatic organisms.