Genus-Wide Comparative Genomics Analysis of Neisseria to Identify New Genes Associated with Pathogenicity and Niche Adaptation of Neisseria Pathogens

Joint Authors

Cao, De-Min
Lu, Qun-Feng
Li, Song-Bo
Wang, Ju-Ping
Su, Li-Li
Ye, Guang-Bin
Zhu, Xiao-Ying

Source

International Journal of Genomics

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-19, 19 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-01-15

Country of Publication

Egypt

No. of Pages

19

Main Subjects

Biology

Abstract EN

N.

gonorrhoeae and N.

meningitidis, the only two human pathogens of Neisseria, are closely related species.

But the niches they survived in and their pathogenic characteristics are distinctly different.

However, the genetic basis of these differences has not yet been fully elucidated.

In this study, comparative genomics analysis was performed based on 15 N.

gonorrhoeae, 75 N.

meningitidis, and 7 nonpathogenic Neisseria genomes.

Core-pangenome analysis found 1111 conserved gene families among them, and each of these species groups had opening pangenome.

We found that 452, 78, and 319 gene families were unique in N.

gonorrhoeae, N.

meningitidis, and both of them, respectively.

Those unique gene families were regarded as candidates that related to their pathogenicity and niche adaptation.

The relationships among them have been partly verified by functional annotation analysis.

But at least one-third genes for each gene set have not found the certain functional information.

Simple sequence repeat (SSR), the basis of gene phase variation, was found abundant in the membrane or related genes of each unique gene set, which may facilitate their adaptation to variable host environments.

Protein-protein interaction (PPI) analysis found at least five distinct PPI clusters in N.

gonorrhoeae and four in N.

meningitides, and 167 and 52 proteins with unknown function were contained within them, respectively.

American Psychological Association (APA)

Lu, Qun-Feng& Cao, De-Min& Su, Li-Li& Li, Song-Bo& Ye, Guang-Bin& Zhu, Xiao-Ying…[et al.]. 2019. Genus-Wide Comparative Genomics Analysis of Neisseria to Identify New Genes Associated with Pathogenicity and Niche Adaptation of Neisseria Pathogens. International Journal of Genomics،Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1165670

Modern Language Association (MLA)

Lu, Qun-Feng…[et al.]. Genus-Wide Comparative Genomics Analysis of Neisseria to Identify New Genes Associated with Pathogenicity and Niche Adaptation of Neisseria Pathogens. International Journal of Genomics No. 2019 (2019), pp.1-19.
https://search.emarefa.net/detail/BIM-1165670

American Medical Association (AMA)

Lu, Qun-Feng& Cao, De-Min& Su, Li-Li& Li, Song-Bo& Ye, Guang-Bin& Zhu, Xiao-Ying…[et al.]. Genus-Wide Comparative Genomics Analysis of Neisseria to Identify New Genes Associated with Pathogenicity and Niche Adaptation of Neisseria Pathogens. International Journal of Genomics. 2019. Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1165670

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1165670