Evidence map›Paper›PMID 38819561›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Annotation and Comparative Genomics of Prokaryotic Transposable Elements.

Karen Ross, Marcelo Marques Zerillo, Mick Chandler, Alessandro M Varani

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Article in Methods in molecular biology (Clifton, N.J.), 2024. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Karen RossProtein Information Resource, Department of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, USA.
Marcelo Marques ZerilloDepartment of Botany and Ecology, Federal University of Mato Grosso - UFMT, Cuiabá, Brazil.
Mick ChandlerDepartment of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, USA.
Alessandro M VaraniDepartment of Agricultural and Environmental Biotechnology, School of Agricultural and Veterinary Sciences, Unesp - São Paulo State University, Jaboticabal, Brazil. alessandro.varani@unesp.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The data generated in nearly 30 years of bacterial genome sequencing has revealed the abundance of transposable elements (TE) and their importance in genome and transcript remodeling through the mediation of DNA insertions and deletions, structural rearrangements, and regulation of gene expression. Furthermore, what we have learned from studying transposition mechanisms and their regulation in bacterial TE is fundamental to our current understanding of TE in other organisms because much of what has been observed in bacteria is conserved in all domains of life. However, unlike eukaryotic TE, prokaryotic TE sequester and transmit important classes of genes that impact host fitness, such as resistance to antibiotics and heavy metals and virulence factors affecting animals and plants, among other acquired traits. This provides dynamism and plasticity to bacteria, which would otherwise be propagated clonally. The insertion sequences (IS), the simplest form of prokaryotic TE, are autonomous and compact mobile genetic elements. These can be organized into compound transposons, in which two similar IS can flank any DNA segment and render it transposable. Other more complex structures, called unit transposons, can be grouped into four major families (Tn3, Tn7, Tn402, Tn554) with specific genetic characteristics. This chapter will revisit the prominent structural features of these elements, focusing on a genomic annotation framework and comparative analysis. Relevant aspects of TE will also be presented, stressing their key position in genome impact and evolution, especially in the emergence of antimicrobial resistance and other adaptive traits.

Indexed as

DNA Transposable ElementsGenome, BacterialGenomicsMolecular Sequence AnnotationBacteriaEvolution, MolecularProkaryotic CellsDNA Transposable ElementsAdaptationAntibiotic resistanceBacterial fitnessGenome evolutionGenome plasticityRecombination

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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.