Preprint Article Version 1 This version is not peer-reviewed

Whole Genome Sequencing Reveals Identification of New Acinetobacter spp. (maqsudiensis) from Local Meat Samples Collected from Dhaka, Bangladesh

Muhammad Maqsud Hossain * , Abdus Sadique , Aura Rahman , Abdul Khaleque , Abdul Mueed Ibne Momen , Mrinmoy Sarker , Tahmina Tabassum , Arman Hossain , Tasnuva Avzun , Gias U. Ahsan
Version 1 : Received: 3 November 2018 / Approved: 6 November 2018 / Online: 6 November 2018 (10:57:37 CET)
Version 2 : Received: 20 November 2018 / Approved: 21 November 2018 / Online: 21 November 2018 (07:07:54 CET)

How to cite: Hossain, M.M.; Sadique, A.; Rahman, A.; Khaleque, A.; Momen, A.M.I.; Sarker, M.; Tabassum, T.; Hossain, A.; Avzun, T.; Ahsan, G.U. Whole Genome Sequencing Reveals Identification of New Acinetobacter spp. (maqsudiensis) from Local Meat Samples Collected from Dhaka, Bangladesh. Preprints 2018, 2018110138 (doi: 10.20944/preprints201811.0138.v1). Hossain, M.M.; Sadique, A.; Rahman, A.; Khaleque, A.; Momen, A.M.I.; Sarker, M.; Tabassum, T.; Hossain, A.; Avzun, T.; Ahsan, G.U. Whole Genome Sequencing Reveals Identification of New Acinetobacter spp. (maqsudiensis) from Local Meat Samples Collected from Dhaka, Bangladesh. Preprints 2018, 2018110138 (doi: 10.20944/preprints201811.0138.v1).

Abstract

In this study we announce the draft genome sequence of a newly identified Acinetobacter species cross-reacting with E. coli serotype 0157:H7. The advent of Next-Generation technology has paved to way to discover new species which could otherwise be misidentified using conventional cultural and serotyping methods. The whole genome sequence of this isolate will help to identify potential marker/s of intervention and further genomic analysis might also shed light onto the virulence properties of this newly identified Acinetobacter species which has been provided the new name of Acinetobacter maqsudiensis.

Subject Areas

Acinetobacter; Bangladesh; next-generation sequencing; average nucleotide identity

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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