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Biogeographical distribution and diversity of microbes in methane hydrate-bearing deep marine sediments on the Pacific Ocean Margin.

The deep subseafloor biosphere is among the least-understood habitats on Earth, even though the huge microbial biomass therein plays an important role for potential long-term controls on global biogeochemical cycles. We report here the vertical and geographical distribution of microbes and their phylogenetic diversities in deeply buried marine sediments of the Pacific Ocean Margins. During the Ocean Drilling Program Legs 201 and 204, we obtained sediment cores from the Peru and Cascadia Margins that varied with respect to the presence of dissolved methane and methane hydrate. To examine differences in prokaryotic distribution patterns in sediments with or without methane hydrates, we studied >2,800 clones possessing partial sequences (400-500 bp) of the 16S rRNA gene and 348 representative clone sequences (approximately 1 kbp) from the two geographically separated subseafloor environments. Archaea of the uncultivated Deep-Sea Archaeal Group were consistently the dominant phylotype in sediments associated with methane hydrate. Sediment cores lacking methane hydrates displayed few or no Deep-Sea Archaeal Group phylotypes. Bacterial communities in the methane hydrate-bearing sediments were dominated by members of the JS1 group, Planctomycetes, and Chloroflexi. Results from cluster and principal component analyses, which include previously reported data from the West and East Pacific Margins, suggest that, for these locations in the Pacific Ocean, prokaryotic communities from methane hydrate-bearing sediment cores are distinct from those in hydrate-free cores. The recognition of which microbial groups prevail under distinctive subseafloor environments is a significant step toward determining the role these communities play in Earth's essential biogeochemical processes.

Archaea↗

Novel knowledge-based mean force potential at atomic level.

We present a new approach at the atomic level for the development of knowledge-based mean force potentials (MFPs) that can be used in fold recognition, ab initio structure prediction, comparative modelling and molecular recognition. Our method is based on atom-type definitions, raising the total frequency of the pairwise distributions and leading to very accurate and specific distance-dependent energy functions. Forty different heavy atom types were defined depending on their bond connectivity, chemical nature and location level (side-chain or backbone). Using this approach it has been possible to obtain average frequencies of pairwise contacts about 15 times higher than the ones obtained using the classic way of one heavy atom definition for each amino acid (i.e. alpha-carbon, beta-carbon, virtual centroid or virtual beta-carbon co-ordinates). In this paper we use this approach to develop a MFP that can be used in fold recognition and we compare it with a classic MFP at the amino acid level compiled from the alpha-carbon distances between the different amino acid pairs. Both potentials involve all the pairwise contacts extracted from a non-redundant folds database of 180 protein chains with a sequence identity threshold of 25%. The pairwise energy functions of the MFP at the atomic level have a deep and very well defined minimum for each pairwise interaction, in contrast to the same curves obtained from the MFP developed at the amino acid level, which generally have multiple minima with similar depth. Our results also show that this MFP is able to produce very similar energy profiles for couples of proteins that share a very low sequence identity but are closely related at the structural level. When these profiles are plotted considering the structure-structure alignment, they are mostly superimposed, showing a correlation with the structure-structure similarity. In the same test, the MFP at the amino acid level fails to produce similar profiles. We suggest that using this MFP at the atomic level in the last stages of fold recognition or threading, when some candidates are available, can improve the sequence-structure alignments and, therefore, the final models. We also discuss the possibility of using this approach in the development of new MFPs to be used in ab initio structure prediction, comparative modelling and molecular recognition procedures.

Amino Acids↗

Comparison of prokaryotic diversity at offshore oceanic locations reveals a different microbiota in the Mediterranean Sea.

The bacterial and archaeal assemblages at two offshore sites located in polar (Greenland Sea; depth: 50 and 2000 m) and Mediterranean (Ionian Sea; depth 50 and 3000 m) waters were studied by PCR amplification and sequencing of the last 450-500 bp of the 16S rRNA gene. A total of 1621 sequences, together with alignable 16S rRNA gene fragments from the Sargasso Sea metagenome database, were analysed to ascertain variations associated with geographical location and depth. The Ionian 50 m sample appeared to be the most diverse and also had remarkable differences in terms of the prokaryotic groups retrieved; surprisingly, however, many similarities were found at the level of large-scale diversity between the Sargasso database fragments and the Greenland 50 m sample. Most sequences with more than 97% sequence similarity, a value often taken as indicative of species delimitation, were only found at a single location/depth; nevertheless, a few examples of cosmopolitan sequences were found in all samples. Depth was also an important factor and, although both deep-water samples had overall similarities, there were important differences that could be due to the warmer waters at depth of the Mediterranean Sea.

Archaea↗

Deep brain stimulation for treatment-resistant depression: a psychiatric perspective.

Traditionally, the therapeutic approach to treatment-resistant depression (TRD) has relied on pharmacotherapy in various sequences and combinations, in addition to evidence-based psychotherapy or electroconvulsive therapy. Despite refinements to the existing therapeutic modalities, there remains a significant subpopulation of severely ill patients with refractory mood disorders who fail to achieve a clinical response despite aggressive psychosocial and biological treatments. Interest in the use of deep brain stimulation (DBS) for treatment-resistant psychiatric illness has emerged in recent years for a number of reasons: 1) as part of a general re-evaluation of both noninvasive and invasive brain stimulation techniques, 2) because of the demonstrated clinical efficacy of DBS for movement disorders, and 3) as a logical consequence of studies defining the functional neurocircuitry of several psychiatric disorders. This review will examine the progress of DBS in the treatment of Parkinson's disease and the potential implications for its use in TRD, as well as the role of the psychiatrist in selection and ongoing management of patients who receive this procedure.

Brain Mapping↗

Fulvimarina pelagi gen. nov., sp. nov., a marine bacterium that forms a deep evolutionary lineage of descent in the order "Rhizobiales".

Three brownish-yellow bacterial strains were isolated from the western Sargasso Sea by high-throughput culturing methods and characterized by polyphasic approaches. All isolates were Gram-negative, strictly aerobic, chemoheterotrophic, non-motile short rods that contained carotenoid pigments. Phylogenetic analyses based on 16S rRNA gene sequences, DNA-DNA hybridization and DNA G+C content, along with phenotypic characteristics, revealed that they belonged to the same species. The strains utilized a wide range of substrates, including pentoses, hexoses, oligosaccharides, sugar alcohols, organic acids and amino acids, as sole carbon sources. The DNA G+C content of the isolates ranged from 57.6 to 59.9 mol%. The predominant cellular fatty acid constituent was C(18 : 1)omega7c, whilst C(16 : 0), C(18 : 0) and C(19 : 0)omega8c cyclo were also abundant. The organism related most closely to these strains, as determined by 16S rDNA sequence comparison, was the recently described species Aurantimonas coralicida (93.3-93.8 % similarity). Phylogenetic analyses indicated that the strains formed a distinct and deep evolutionary lineage of descent, together with A. coralicida, within the order "Rhizobiales" of the alpha-Proteobacteria. This lineage could not be associated with any of the ten known families in the order "Rhizobiales". From polyphasic evidence, it is proposed that the strains be placed into a novel genus and species, Fulvimarina pelagi gen. nov., sp. nov. (type strain, HTCC2506(T)=ATCC BAA-666(T)=KCTC 12091(T)=DSM 15513(T)).

Microbial Sensitivity Tests↗

Identification and cloning of waaF (rfaF) from Bordetella pertussis and use to generate mutants of Bordetella spp. with deep rough lipopolysaccharide.

A DNA locus from Bordetella pertussis capable of reconstituting lipopolysaccharide (LPS) O-antigen biosynthesis in Salmonella typhimurium SL3789 (rfaF511) has been isolated, by using selection with the antibiotic novobiocin. DNA within the locus encodes a protein with amino acid sequence similarity to heptosyltransferase II, encoded by waaF (previously rfaF) in other gram-negative bacteria. Mutation of this gene in B. pertussis, Bordetella parapertussis, and Bordetella bronchiseptica by allelic exchange generated bacteria with deep rough LPS phenotypes consistent with the proposed function of the gene as an inner core heptosyltransferase. These are the first LPS mutants generated in B. parapertussis and B. bronchiseptica and the first deep rough mutants of any of the bordetellae.

Amino Acid Sequence↗

The crystal structure of NADPH:ferredoxin reductase from Azotobacter vinelandii.

NADPH:ferredoxin reductase (AvFPR) is involved in the response to oxidative stress in Azotobacter vinelandii. The crystal structure of AvFPR has been determined at 2.0 A resolution. The polypeptide fold is homologous with six other oxidoreductases whose structures have been solved including Escherichia coli flavodoxin reductase (EcFldR) and spinach, and Anabaena ferredoxin:NADP+ reductases (FNR). AvFPR is overall most homologous to EcFldR. The structure is comprised of a N-terminal six-stranded antiparallel beta-barrel domain, which binds FAD, and a C-terminal five-stranded parallel beta-sheet domain, which binds NADPH/NADP+ and has a classical nucleotide binding fold. The two domains associate to form a deep cleft where the NADPH and FAD binding sites are juxtaposed. The structure displays sequence conserved motifs in the region surrounding the two dinucleotide binding sites, which are characteristic of the homologous enzymes. The folded over conformation of FAD in AvFPR is similar to that in EcFldR due to stacking of Phe255 on the adenine ring of FAD, but it differs from that in the FNR enzymes, which lack a homologous aromatic residue. The structure of AvFPR displays three unique features in the environment of the bound FAD. Two features may affect the rate of reduction of FAD: the absence of an aromatic residue stacked on the isoalloxazine ring in the NADPH binding site; and the interaction of a carbonyl group with N10 of the flavin. Both of these features are due to the substitution of a conserved C-terminal tyrosine residue with alanine (Ala254) in AvFPR. An additional unique feature may affect the interaction of AvFPR with its redox partner ferredoxin I (FdI). This is the extension of the C-terminus by three residues relative to EcFldR and by four residues relative to FNR. The C-terminal residue, Lys258, interacts with the AMP phosphate of FAD. Consequently, both phosphate groups are paired with a basic group due to the simultaneous interaction of the FMN phosphate with Arg51 in a conserved FAD binding motif. The fourth feature, common to homologous oxidoreductases, is a concentration of 10 basic residues on the face of the protein surrounding the active site, in addition to Arg51 and Lys258.

Azotobacter vinelandii↗

MR imaging of glioblastoma in children: usefulness of diffusion/perfusion-weighted MRI and MR spectroscopy.

BACKGROUND: Glioblastoma is relatively uncommon in childhood and maybe difficult to differentiate from other brain tumors such as primitive neuroectodermal tumor, ependymoma, or benign astrocytoma. OBJECTIVE: To describe the characteristic MR features in children with glioblastoma and to evaluate the usefulness of diffusion and perfusion MR imaging and MR spectroscopy in pediatric glioblastoma. MATERIALS AND METHODS: MR imaging in 11 children (12 tumors) with biopsy-proven glioblastoma was reviewed retrospectively. In one patient, there was a recurrent glioblastoma. We reviewed CT and MRI imaging for tumor location, density/signal intensity, and enhancement pattern. Routine MR imaging was performed with a 1.5-T scanner. In six patients, diffusion-weighted MR images (DWIs) were obtained with a single-shot spin echo EPI technique with two gradient steps, and apparent diffusion coefficients (ADCs) were calculated. Using the gradient EPI technique, perfusion-weighted MR images (PWIs) were obtained in four patients from the data of dynamic MR images. The maximum relative cerebral blood volume (rCBV) ratio was calculated between the tumor and contralateral white matter in two cases. In three patients, proton MR spectroscopy was performed using a single voxel technique with either STEAM or PRESS sequences. The locations of the tumor were the thalamus and basal ganglia ( n=8), deep white matter ( n=3), and brain stem ( n=1). RESULTS: Intratumoral hemorrhage was seen in four tumors. The tumors showed high-signal intensity or DWIs, having a wide range of ADC values of 0.53-1.30 (mean +/-SD=1.011+/-0.29). The maximum rCBV ratios of glioblastoma were 10.2 and 8.5 in two cases. MR spectroscopy showed decreased N-acetylaspartate (NAA) and increased choline in three cases. The MR findings of glioblastoma in children were: a diffusely infiltrative mass with hemorrhage involving the deep cerebral white matter, thalami, and basal ganglia. CONCLUSION: Diffusion/perfusion MR imaging and MR spectroscopy are very helpful in diagnosing glioblastoma, determining the biopsy site, and evaluating tumor recurrence.

Adolescent↗

Pressure-regulated biosynthesis of cytochrome bd in piezo- and psychrophilic deep-sea bacterium Shewanella violacea DSS12.

The genes of cytochrome bd-encoding cydAB were identified from a deep-sea bacterium Shewanella violacea DSS12. These showed significant homologies with known cydAB gene sequences from various organisms. Additionally, highly conserved regions that are important for the enzymatic function were also conserved in cydA of S. violacea. Based on the results, transcriptional analysis of cydAB operon and cydDC operon (required for assembly of cytochrome bd) of S. violacea in microaerobic condition was performed under the growth condition of various pressures. The gene of cydA was expressed even under the condition of atmospheric pressure and its expression was enhanced with pressurization. On the other hand, the expression of cydC was strongly depressed under the condition of atmospheric pressure compared with the case under high pressure. It appeared spectrophotometrically that loss of cytochrome bd in S. violacea under atmospheric pressure shown in previous study is caused mainly by the loss of cydDC. Further, under the growth condition of atmospheric pressure, either less amount or no d-type cytochrome was expressed compared with the case of high-pressure condition even if the organism was grown under alkaline condition or in the presence of uncoupler, which are the inducible condition of d-type cytochrome in Escherichia coli. These results suggested that the significant amount of d-type cytochrome expression is specific event under the growth condition of high pressure.

Amino Acid Sequence↗

Whole-Genome Deep Learning Predicts Chemotherapy Response in Colorectal Cancer.

Chemotherapy response in colorectal cancer (CRC) exhibits significant heterogeneity, with current clinical predictors failing to capture complex genomic determinants of resistance. We developed a hybrid deep learning framework integrating convolutional neural networks (CNNs) and bidirectional long short-term memory (BiLSTM) networks to analyze whole-genome somatic mutations, evolutionary conservation, chromatin accessibility, and 3D genome architecture in 2,546 TCGA patients. An attention mechanism identified predictive genomic regions. The model achieved an AUC of 0.92 (95% CI: 0.89-0.94) in cross-validation and 0.88 (95% CI: 0.85-0.91) in independent validation, outperforming clinical models (&#x394;AUC = +0.18, p < 0.001). Key predictors included non-coding variants in TP53, KRAS, and PIK3CA regulatory regions. Triple-positive patients (mutations in all 3 regions) had significantly worse progression-free survival (HR = 4.7, p < 0.001). Our framework enables accurate chemotherapy response prediction and reveals novel non-coding resistance mechanisms, advancing precision oncology in CRC.

Humans↗

Soft-tissue profile preference.

The relative influence on profile preference of the anteroposterior maxillomandibular relation, the lower facial height, and the form of the dorsum of the nose is a source of interesting controversy. In order to obtain more information on this subject, twenty-seven shadow profile photographs were artificially constructed to represent the main characteristics of the nine profile types proposed by Sassouni combined with three different kinds of nose dorsum. Each series of nine profiles was ranked according to the personal esthetic preference of 249 adults (mean age, 23 years). One group of test persons (40 females and 91 males) had no orthodontic background, while another group (49 females and 69 males) had received some orthodontic teaching. Chi-square tests of significance showed no significant difference between male and female participants in esthetic preference for the sex of a profile. Also, the difference in orthodontic knowledge had no significant effect on esthetic preference. Nose dorsum changes induced significant differences only in Class II normal profiles; convex noses were less appreciated. Calculation of average preference values revealed that Class I normal profile types were clearly the favored ones, followed by Class I deep profiles. Open profile types, on the contrary, were obviously the least appreciated. This sequence indicates that, in profile evaluations, vertical profile characteristics could be more important than anteroposterior features and that a lengthening of the soft-tissue profile is not desirable in most cases. Seven weeks after the first ranking of male profiles, 193 persons were retested. The rank correlation values according to Kendall showed that one out of four persons ranked profiles significantly different in the retest.

Adult↗

Integrative proteomics and bioinformatics pipelines for PTM profiling.

Post-translational modifications (PTMs) regulate protein function across all life forms and allow plants to respond rapidly to biotic and abiotic stress. Over 450 PTM types have been described across organisms, of which 23-33&#x202f;have been experimentally confirmed in plants, including phosphorylation, acetylation, methylation, glycosylation, ubiquitination, and sumoylation. These modifications are highly dynamic and often reversible, and frequently act in combination, or "crosstalk," to fine-tune cellular processes. Advances in high-resolution mass spectrometry and large-scale genome sequencing continue to expand the catalogue of known PTM sites, while machine learning and deep learning approaches increasingly support prediction of PTM site localization and function. Unlike broader surveys of plant PTMs, this review focuses specifically on O-phosphorylation and Lys-N(&#x3b5;)-acetylation, the two best-characterized and most extensively crosstalking PTMs in plants, and integrates four perspectives: the historical development of proteomic and bioinformatics approaches to these modifications; current mass spectrometry-based workflows and enrichment strategies; the bioinformatics tools and databases available for their analysis; and the technical and species-related challenges, particularly in non-model plants, that currently limit their study. We close by outlining priority directions for future research, including multi-omics integration, AI-based prediction, and the translation of PTM knowledge into crop stress resilience and breeding applications.

Protein Processing, Post-Translational↗

Investigating cross-organism prediction of prokaryotic essential proteins using unsupervised language model and ensemble strategy.

Cross-organism prediction of essential proteins is a critical task for drug discovery and microbial engineering, yet the generalizability of existing machine learning models across diverse species remains a significant challenge. In this study, we propose DeepPEP, a large language model-based framework designed to reliably transfer essential protein annotations between distantly related organisms. Utilizing 66 curated prokaryotic datasets, we systematically evaluated DeepPEP's cross-organism performance under various conditions. Initial pairwise predictions revealed a correlation between performance and evolutionary distance; however, further investigation demonstrated that integrating training data from multiple organisms yields superior predictive power. In a benchmark scenario designed to simulate real-world applications, DeepPEP outperformed the state-of-the-art tool Geptop 2.0, showcasing a robust ability to identify species-specific essential proteins. Finally, a case study on novel genomes confirmed the model's practical effectiveness. Our results suggest that DeepPEP is a powerful strategy for prokaryotic essential protein prediction, and the rigorous evaluation framework established in this study provides a new benchmark for the field.

Large Language Models↗

Biogeographic patterns and current distribution of molecular-genetic variation among populations of speckled dace, Rhinichthys osculus (Girard).

We examined genetic diversity within- and among-populations of speckled dace (Rhinichthys osculus) in five major drainage systems in the state of Oregon in western North America. Analysis of sequence variation in a 670-bp segment of the mitochondrial cytochrome b gene revealed deep divergence among basins and high genetic diversity within basins. Application of a molecular clock indicated that the divergence time among basins reflects vicariant events during the late Miocene to early Pliocene. The high levels of genetic diversity observed within basins is likely due to large historic population sizes, in particular, within the Klamath Basin. Two highly divergent mtDNA lineages were found to co-occur in populations in the Klamath Basin. This result may be indicative of a complex history of isolation and reconnection in this basin and/or multiple colonization events. Based on the observed level of mtDNA divergence these lineages may represent two reproductively isolated sympatric taxa. We recommend that major basins be regarded as distinct ESUs based on high levels of subdivision, deep divergences, and reciprocal monophyly among basins.

Animals↗

New insights on DNA recognition by ets proteins from the crystal structure of the PU.1 ETS domain-DNA complex.

Transcription factors belonging to the ets family regulate gene expression and share a conserved ETS DNA-binding domain that binds to the core sequence 5'-(C/A)GGA(A/T)-3'. The domain is similar to alpha+beta ("winged") helix-turn-helix DNA-binding proteins. The crystal structure of the PU.1 ETS domain complexed to a 16-base pair oligonucleotide revealed a pattern for DNA recognition from a novel loop-helix-loop architecture (Kodandapani, R., Pio, F., Ni. C.-Z., Piccialli, G., Klemsz, M., McKercher, S., Maki, R. A., and Ely, K. R. (1996) Nature 380, 456-460). Correlation of this model with mutational analyses and chemical shift data on other ets proteins confirms this complex as a paradigm for ets DNA recognition. The second helix in the helix-turn-helix motif lies deep in the major groove with specific contacts with bases in both strands in the core sequence made by conserved residues in alpha3. On either side of this helix, two loops contact the phosphate backbone. The DNA is bent (8 degrees) but uniformly curved without distinct kinks. ETS domains bind DNA as a monomer yet make extensive DNA contacts over 30 A. DNA bending likely results from phosphate neutralization of the phosphate backbone in the minor groove by both loops in the loop-helix-loop motif. Contacts from these loops stabilize DNA bending and may mediate specific base interactions by inducing a bend toward the protein.

Amino Acid Sequence↗

Developmental onset of functional activity in the wallaby whisker cortex in response to stimulation of the infraorbital nerve.

This study used the extrauterine development of a marsupial wallaby to investigate the onset of functional activity in the somatosensory pathway from the whiskers. In vivo recordings were made from the somatosensory cortex from postnatal day (P) 55 to P138, in response to electrical stimulation of the infraorbital nerve supplying the mystacial whiskers. Current source density analysis was used to localize the responses within the cortical depth. This was correlated with development of cortical lamination and the onset of whisker-related patches, as revealed by cytochrome oxidase. The earliest evoked activity occurred at P61, when layers 5 and 6 are present, but layer 4 has not yet developed. This activity showed no polarity reversal with depth, suggesting activity in thalamocortical afferents. By P72 synaptic responses were detected in developing layer 4 and cytochrome oxidase showed the first hint of segregation into whisker-related patches. These patches were clear by P86. The evoked response at this age showed synaptic activity first in layer 4 and then in deep layer 5/upper layer 6. With maturity, responses became longer lasting with a complex sequence of synaptic activity at different cortical depths. The onset of functional activity is coincident with development of layer 4 and the onset of whisker-related pattern formation. A similar coincidence is seen in the rat, despite the markedly different chronological timetable, suggesting similar developmental mechanisms may operate in both species.

Aging↗

Assessing the Cretaceous superordinal divergence times within birds and placental mammals by using whole mitochondrial protein sequences and an extended statistical framework.

Using the set of all vertebrate mtDNA protein sequences published as of May 1998, plus unpublished examples for elephant and birds, we examined divergence times in Placentalia and Aves. Using a parsimony-based test, we identified a subset of slower evolutionary rate placental sequences that do not appear to violate the clock assumption. Analyzing just these sequences decreases support for Marsupionta and the carnivore + perissodactyl group but increases support for armadillo diverging earlier than rabbit (which may represent the whole Glires group). A major theme of the paper is to use more comprehensive estimates of divergence time standard error (SE). From the well-studied horse/rhino split, estimated to be 55 million years before present (mybp), the splitting time within carnivores is confidently shown to be older than 50 million years. Some of our estimates of divergence times within placentals are relatively old, at up to 169 million years, but are within 2 SE of other published estimates. The whale/cow split at 65 mybp may be older than commonly assumed. All the sampled splits between the main groups of fereuungulates (the clade of carnivores, cetartiodactyls, perissodactyls, and pholidotes) seem to be distinctly before the Cretaceous/Tertiary boundary. Analyses suggest a close relationship between elephants (representing Afrotheria) and armadillos (Xenarthra), and our timing of this splitting is coincident with the opening of the South Atlantic, a major vicariant event. Recalibrating with this event (at 100 mybp), we obtain younger estimates for the earliest splits among placentals. Divergence times within birds are also assessed by using previously unpublished sequences. We fail to reject a clock for all bird taxa available. Unfortunately, available deep calibration points for birds are questionable, so a new calibration based on the age of the Anseriform stem lineage is estimated. The divergence time of rhea and ostrich may be much more recent than commonly assumed, while that of passerines may be older. Our major concern is the rooting point of the bird subtree, as the nearest outgroup (alligator) is very distant.

Animals↗

Mitochondrial DNA sequence variation and genetic stock structure of Atlantic cod (Gadus morhua) from bay and offshore locations on the Newfoundland continental shelf.

Bay cod, Atlantic cod (Gadus morhua) that over-winter in the deep-water bays of north-eastern Newfoundland, have historically been regarded as distinct in migration and spawning behaviour from offshore (Grand Bank) cod stocks. To investigate their genetic relationships, we determined the DNA sequence of a 307-base-pair portion of the mitochondrial cytochrome b gene for 236 adult cod taken from the waters off north-eastern Newfoundland, including fish found over-wintering and spawning in Trinity Bay. Although 17 genotypes were found, a single common genotype occurs at a frequency of greater than 80% in all samples, and no alternative genotype occurs at a frequency of greater than 3%. Genotype proportions did not differ significantly among samples. Measures of genetic subdivision among sampling locations are nil. Cod over-wintering in Trinity Bay are not genetically distinct from offshore cod. In combination with tagging and physiological studies, these data suggest that there is sufficient movement of cod between bay and offshore locations to prevent the development or maintenance of independent inshore stocks. Adult cod that over-winter in Trinity Bay appear to represent an assemblage of temporarily nonmigratory fish that have become physiologically acclimated to cold-water inshore environments. The pattern of genetic variation in northern cod suggests a recent population structure characterized by extensive movement of contemporary individuals superimposed on an older structure characterized by a bottleneck in the population size of cod in the north-western Atlantic.

Amino Acid Sequence↗