2021
DOI: 10.1007/s00284-021-02490-0
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The Complete Genome of Nocardia seriolae MH196537 and Intra-Species Level as Analyzed by Comparative Genomics Based on Random Forest Algorithm

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Cited by 3 publications
(3 citation statements)
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“…Although GWAS for fish bacterial pathogens is relatively underrated compared with fish GWAS for the purpose of quantitative trait locus (QTL) marker identification, a few studies have applied GWAS for fish bacterial pathogens, which has contributed to identifying genotypic characteristics in the same species (Correa et al, 2015; Holborn et al, 2018; Le et al, 2021; Rasmussen et al, 2016). Different phenotypic characteristics between strains in the same species can be created by a genetic pressure to change nucleic sequences and genes to adapt to specific environments, which has been widely observed in both prokaryotes and eukaryotes (e.g., Kim et al, 2021; Kjærner‐Semb et al, 2021). This is one of the main reasons why the first step in most GWAS is to classify the phenotypic characteristics or measurements (which can be discrete units [e.g., high, intermediate and low virulence] and/or continuous values) (Chen & Shapiro, 2015).…”
Section: Discussionmentioning
confidence: 99%
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“…Although GWAS for fish bacterial pathogens is relatively underrated compared with fish GWAS for the purpose of quantitative trait locus (QTL) marker identification, a few studies have applied GWAS for fish bacterial pathogens, which has contributed to identifying genotypic characteristics in the same species (Correa et al, 2015; Holborn et al, 2018; Le et al, 2021; Rasmussen et al, 2016). Different phenotypic characteristics between strains in the same species can be created by a genetic pressure to change nucleic sequences and genes to adapt to specific environments, which has been widely observed in both prokaryotes and eukaryotes (e.g., Kim et al, 2021; Kjærner‐Semb et al, 2021). This is one of the main reasons why the first step in most GWAS is to classify the phenotypic characteristics or measurements (which can be discrete units [e.g., high, intermediate and low virulence] and/or continuous values) (Chen & Shapiro, 2015).…”
Section: Discussionmentioning
confidence: 99%
“…Bacterial diseases are the major threats to farmed fish in aquaculture, and multiple studies have been conducted to develop methods for controlling them (e.g., Roh et al, 2016; Seo et al, 2021; Zhang et al, 2021). However, the damage caused by bacterial diseases in aquaculture has continued, and the ability to alter their genetic makeup much faster than eukaryotes is regarded as a major obstacle (Figueroa et al, 2019; Kim et al, 2021; Roh et al, 2019). For example, the emergence and spread of multi‐drug‐resistant bacteria in aquaculture where bacteria are required to survive against antibiotics can be originated from the pressure to evolve by modifying genes that help them adapt to the newly encountered situation (Algammal et al, 2022; Nadella et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…CP017839.1, NZ_MOYO00000000.1; Han et al, 2019), strain MH196537 (accession No. CP059737; Kim et al, 2021), and strain NK201610020 (accession No. NZ_ CP063662.1; Zhang et al, 2022).…”
mentioning
confidence: 99%