Evidence map›Paper›PMID 42573611›Full record

ArticleCurrent microbiology2026

Identification of new protein-coding potential in Leishmania donovani using a proteogenomics approach.

Soumi Chowdhury, Shubhankar Pawar, Karthick Vasudevan, Nalini Mishra, Mahendra Jamdhade, Harsh Pawar

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Article in Current microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Soumi Chowdhury *Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Shubhankar Pawar *Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Karthick VasudevanManipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Nalini MishraMolecular Arthopod Research Lab (MARL), Entomology Department, ICMR- Regional Medical Research Centre (ICMR-RMRC), Gorakhpur, India.
Mahendra JamdhadeTranslational Health Science and Technology Institute (THSTI), Faridabad, 576104, Uttar Pradesh, India.
Harsh PawarManipal Academy of Higher Education, Manipal, 576104, Karnataka, India. harsh@ibioinformatics.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leishmania donovani, the causative agent of visceral leishmaniasis, possesses a highly plastic genome and relies extensively on post-transcriptional regulation, posing challenges for accurate genome annotation. Despite the availability of a high-quality reference genome, many protein-coding genes remain incomplete or misannotated. While proteogenomic workflows have been previously applied to other Leishmania species, their application to the L. donovani CL-SL strain, which exhibits distinct genomic and disease-associated features, remains limited. In this study, we utilised a proteogenomic strategy integrating high-resolution tandem mass spectrometry (MS/MS) data with a custom six-frame translated genome database to re-analyse and refine the strain-specific genome annotation of L. donovani. This study is based on the systematic re-analysis of previously published proteomic datasets originally derived from the L. donovani DD8 strain and cross-mapped to the closely related L. donovani CL-SL reference assembly. By utilising stringent selection criteria, this study enables the extraction of additional, high-confidence annotation-level insights beyond the scope of the original analyses, while remaining cautious of localised, strain-specific sequence variations. Re-analysing published proteomics identified 50 N-terminal extensions and 15 novel coding regions. Many show orthology in related species and contain functional domains linked to metabolism, trafficking, or stress responses. These findings represent structural refinements to existing gene models, awaiting further experimental validation. Collectively, our findings demonstrate that proteogenomic integration significantly improves the accuracy of L. donovani genome annotation by resolving truncated gene models and uncovering hidden coding potential. These findings improve genome annotation and highlight previously unrecognised coding potential supported by peptide evidence in Leishmania donovani.

Indexed as

Leishmania donovaniProteogenomicsProtozoan ProteinsGenome, ProtozoanLeishmaniasis, VisceralMolecular Sequence AnnotationOpen Reading FramesProteomeTandem Mass SpectrometryProteomeProtozoan Proteins

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.