ArticleScientific reports2020
Identifying the essential genes of Mycobacterium avium subsp. hominissuis with Tn-Seq using a rank-based filter procedure.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Integrated analysis of transposon insertion sequencing and pangenome reveals core and lineage-specific essential genes inMicrobial genomics · 2026Article
- Giant linear plasmids in Mycobacterium avium harbour a tRNA array unit.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026Article
- Temporal genome-wide fitness analysis ofmSystems · 2024Article
- Functional Whole Genome Screen of Nutrient-StarvedMicroorganisms · 2023Article
- Comprehensive essentiality analysis of themBio · 2023Article
- Bacterial genome reductions: Tools, applications, and challenges.Frontiers in genome editing · 2022Review
- Genetic Determinants of Intrinsic Antibiotic Tolerance in Mycobacterium avium.Microbiology spectrum · 2021Article
- Genome-Wide Essentiality Analysis ofmBio · 2021Article
- DEG 15, an update of the Database of Essential Genes that includes built-in analysis tools.Nucleic acids research · 2021Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Mycobacterium avium subsp. hominissuis (MAH) is increasingly recognized as a significant cause of morbidity, particularly in elderly patients or those with immune deficiency or underlying lung impairment. Disease due to MAH is particularly difficult to treat, often requiring years of antibiotic therapy. Identification of genes essential for MAH growth may lead to novel strategies for improving curative therapy. Here we have generated saturating genome-wide transposon mutant pools in a strain of MAH (MAC109) and developed a novel computational technique for classifying annotated genomic features based on the in vitro effect of transposon mutagenesis. Our findings may help guide future genetic and biochemical studies of MAH pathogenesis and aid in the identification of new drugs to improve the treatment of these serious infections.
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Registered trials
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