Evidence map›Paper›PMID 28356070›Full record

ArticleBMC genomics2017

Core-genome scaffold comparison reveals the prevalence that inversion events are associated with pairs of inverted repeats.

Dan Wang, Shuaicheng Li, Fei Guo, Kang Ning, Lusheng Wang

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Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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3 · Its place in the literature

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6 citing papers in PubMed.

  1. mBio · 2026
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dan WangDepartment of Computer Science, City University of Hong Kong, 83 Tat Chee Ave., Hong Kong, SAR, People's Republic of China.
Shuaicheng LiDepartment of Computer Science, City University of Hong Kong, 83 Tat Chee Ave., Hong Kong, SAR, People's Republic of China.
Fei GuoSchool of Computer Science and Technology, Tianjin University, Tianjin, People's Republic of China.
Kang NingSchool of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Lusheng WangDepartment of Computer Science, City University of Hong Kong, 83 Tat Chee Ave., Hong Kong, SAR, People's Republic of China. cswangl@cityu.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenome rearrangement describes gross changes of chromosomal regions, plays an important role in evolutionary biology and has profound impacts on phenotype in organisms ranging from microbes to humans. With more and more complete genomes accomplished, lots of genomic comparisons have been conducted in order to find genome rearrangements and the mechanisms which underlie the rearrangement events. In our opinion, genomic comparison of different individuals/strains within the same species (pan-genome) is more helpful to reveal the mechanisms for genome rearrangements since genomes of the same species are much closer to each other.

resultsWe study the mechanism for inversion events via core-genome scaffold comparison of different strains within the same species. We focus on two kinds of bacteria, Pseudomonas aeruginosa and Escherichia coli, and investigate the inversion events among different strains of the same species. We find an interesting phenomenon that long (larger than 10,000 bp) inversion regions are flanked by a pair of Inverted Repeats (IRs). This mechanism can also explain why the breakpoint reuses for inversion events happen. We study the prevalence of the phenomenon and find that it is a major mechanism for inversions. The other observation is that for different rearrangement events such as transposition and inverted block interchange, the two ends of the swapped regions are also associated with repeats so that after the rearrangement operations the two ends of the swapped regions remain unchanged. To our knowledge, this is the first time such a phenomenon is reported for transposition event.

conclusionsIn both Pseudomonas aeruginosa and Escherichia coli strains, IRs were found at the two ends of long sequence inversions. The two ends of the inversion remained unchanged before and after the inversion event. The existence of IRs can explain the breakpoint reuse phenomenon. We also observed that other rearrangement operations such as transposition, inverted transposition, and inverted block interchange, had repeats (not necessarily inverted) at the ends of each segment, where the ends remained unchanged before and after the rearrangement operations. This suggests that the conservation of ends could possibly be a popular phenomenon in many types of chromosome rearrangement events.

Indexed as

Genome, BacterialComparative Genomic HybridizationEscherichia coliGene RearrangementPseudomonas aeruginosaSequence InversionComparative genomicsGenome rearrangmentInversionInverted block interchangeTransposition

Identifiers

PMID28356070
PMCPMC5372343

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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.