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Record W2976340293 · doi:10.3390/genes10100739

Genomic Analyses Identify Novel Molecular Signatures Specific for the Caenorhabditis and other Nematode Taxa Providing Novel Means for Genetic and Biochemical Studies

2019· article· en· W2976340293 on OpenAlexafffund
Bijendra Khadka, Tonuka Chatterjee, Bhagwati P. Gupta, Radhey S. Gupta

Bibliographic record

VenueGenes · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNematode management and characterization studies
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyCaenorhabditisCaenorhabditis elegansPhylogenetic treeCladeEvolutionary biologyPhylumIndelGenomePhylogeneticsNematodeGeneticsComputational biologyGeneEcologySingle-nucleotide polymorphism

Abstract

fetched live from OpenAlex

The phylum Nematoda encompasses numerous free-living as well as parasitic members, including the widely used animal model Caenorhabditis elegans, with significant impact on human health, agriculture, and environment. In view of the importance of nematodes, it is of much interest to identify novel molecular characteristics that are distinctive features of this phylum, or specific taxonomic groups/clades within it, thereby providing innovative means for diagnostics as well as genetic and biochemical studies. Using genome sequences for 52 available nematodes, a robust phylogenetic tree was constructed based on concatenated sequences of 17 conserved proteins. The branching of species in this tree provides important insights into the evolutionary relationships among the studied nematode species. In parallel, detailed comparative analyses on protein sequences from nematodes (Caenorhabditis) species reported here have identified 52 novel molecular signatures (or synapomorphies) consisting of conserved signature indels (CSIs) in different proteins, which are uniquely shared by the homologs from either all genome-sequenced Caenorhabditis species or a number of higher taxonomic clades of nematodes encompassing this genus. Of these molecular signatures, 39 CSIs in proteins involved in diverse functions are uniquely present in all Caenorhabditis species providing reliable means for distinguishing this group of nematodes in molecular terms. The remainder of the CSIs are specific for a number of higher clades of nematodes and offer important insights into the evolutionary relationships among these species. The structural locations of some of the nematodes-specific CSIs were also mapped in the structural models of the corresponding proteins. All of the studied CSIs are localized within the surface-exposed loops of the proteins suggesting that they may potentially be involved in mediating novel protein–protein or protein–ligand interactions, which are specific for these groups of nematodes. The identified CSIs, due to their exclusivity for the indicated groups, provide reliable means for the identification of species within these nematodes groups in molecular terms. Further, due to the predicted roles of these CSIs in cellular functions, they provide important tools for genetic and biochemical studies in Caenorhabditis and other nematodes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.604
Threshold uncertainty score0.226

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.082
GPT teacher head0.307
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2019
Admission routes2
Has abstractyes

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