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Record W3136030896 · doi:10.1016/s2666-5247(21)00028-8

Leishmania donovani hybridisation and introgression in nature: a comparative genomic investigation

2021· article· en· W3136030896 on OpenAlexafffundabout
Patrick Lypaczewski, Greg Matlashewski

Bibliographic record

VenueThe Lancet Microbe · 2021
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsMcGill University
FundersCanadian Institutes of Health ResearchFonds de Recherche du Québec - SantéCompute CanadaMcGill University
KeywordsBiologyLeishmania tropicaCutaneous leishmaniasisLeishmania donovaniLeishmaniasisWhole genome sequencingVisceral leishmaniasisGeneticsLeishmaniaVirologyGenomeGeneParasite hosting

Abstract

fetched live from OpenAlex

BACKGROUND: Leishmaniasis is a neglected tropical disease transmitted by infected sandflies that results in diverse human pathologies contingent on the species of Leishmania. Leishmania donovani causes highly virulent fatal visceral leishmaniasis, whereas Leishmania major and Leishmania tropica cause less virulent, cutaneous leishmaniasis, in which the infection remains in the skin at the site of the sandfly bite. The aim of this study was to investigate the genetic basis for the emergence of L donovani strains that cause cutaneous leishmaniasis instead of visceral leishmaniasis in Sri Lanka. METHODS: All available sequencing data for L donovani samples from Asia and Africa in GenBank and the Sequence Read Archive were retrieved and filtered to select for paired-end Illumina sequencing reads with no region bias and coverage of the entire reference genome. These data were used for sequence alignments against the reference L donovani genome from Sri Lanka, and sequence analysis was used to assess the presence of genomic recombination markers and the presence of foreign genetic sequences in the genomes of L donovani isolates associated with cutaneous leishmaniasis in Sri Lanka. BLAST analysis was used to compare the genetic sequences from the Sri Lankan isolates to all genomes of Leishmania species from the Old World available in TriTrypDB, including L major and L tropica. FINDINGS: After filtering of the 1238 existing sequencing records, 684 high-quality records were used to show that 12 L donovani strains from Sri Lanka form three phylogenetic groups. In one group, the density of heterozygous variants is higher than in previously characterised Leishmania hybrid strains. BLAST analysis showed this group contains gene polymorphisms homologous with L major and L tropica genomes for 22% (2160 of 9757) to 78% (7671 of 9757) of all genes analysed. Analysis by phylogeny and BLAST showed that the L donovani-L major and L donovani-L tropica hybrid strains originated from Africa and are phylogenetically distinct from the L donovani strains in neighbouring India. INTERPRETATION: Novel L donovani strains might arise in new environments through the integration of genes from another species. On the basis of the findings of this study, we hypothesise that hybridisation with genomes from L major and L tropica, followed by recombination and introgression, contributed to the emergence of L donovani offspring capable of causing cutaneous leishmaniasis in Sri Lanka. FUNDING: Canadian Institutes of Health Research, Fonds de recherche du Québec-Santé.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.054
GPT teacher head0.336
Teacher spread0.282 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations60
Published2021
Admission routes3
Has abstractyes

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