Literature DB >> 28074712

High-throughput whole genome sequencing of Porcine reproductive and respiratory syndrome virus from cell culture materials and clinical specimens using next-generation sequencing technology.

Jianqiang Zhang1,2, Ying Zheng1,2, Xiao-Qin Xia1,2, Qi Chen1,2, Sarah A Bade1,2, Kyoung-Jin Yoon1,2, Karen M Harmon1,2, Phillip C Gauger1,2, Rodger G Main1,2, Ganwu Li1,2.   

Abstract

Next-generation sequencing (NGS) technologies have increasingly played crucial roles in biological and medical research, but are not yet in routine use in veterinary diagnostic laboratories. We developed and applied a procedure for high-throughput RNA sequencing of Porcine reproductive and respiratory syndrome virus (PRRSV) from cell culture-derived isolates and clinical specimens. Ten PRRSV isolates with known sequence information, 2 mixtures each with 2 different PRRSV isolates, and 51 clinical specimens (19 sera, 16 lungs, and 16 oral fluids) with various PCR threshold cycle (Ct) values were subjected to nucleic acid extraction, cDNA library preparation (24-plexed), and sequencing. Whole genome sequences were obtained from 10 reference isolates with expected sequences and from sera with a PRRSV real-time reverse transcription PCR Ct ≤ 23.6, lung tissues with Ct ≤ 21, and oral fluids with Ct ≤ 20.6. For mixtures with PRRSV-1 and -2 isolates (57.8% nucleotide identity), NGS was able to distinguish them as well as obtain their respective genome sequences. For mixtures with 2 PRRSV-2 isolates (92.4% nucleotide identity), sequence reads with nucleotide ambiguity at numerous sites were observed, indicating mixed infection; however, individual virus sequences could only be separated when 1 isolate identity and sequence in the mixture is known. The NGS approach described herein offers the prospect of high-throughput sequencing and could be adapted to routine workflows in veterinary diagnostic laboratories, although further improvement of sequencing outcomes from clinical specimens with higher Ct values remains to be investigated.

Entities:  

Keywords:  Cell culture isolates; Porcine reproductive and respiratory syndrome virus; clinical specimens; lung; next-generation sequencing; oral fluid; serum

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Year:  2016        PMID: 28074712     DOI: 10.1177/1040638716673404

Source DB:  PubMed          Journal:  J Vet Diagn Invest        ISSN: 1040-6387            Impact factor:   1.279


  28 in total

1.  Comparison of ZMAC and MARC-145 Cell Lines for Improving Porcine Reproductive and Respiratory Syndrome Virus Isolation from Clinical Samples.

Authors:  Wannarat Yim-Im; Haiyan Huang; Jie Park; Chong Wang; Gabriela Calzada; Phillip Gauger; Karen Harmon; Rodger Main; Jianqiang Zhang
Journal:  J Clin Microbiol       Date:  2021-02-18       Impact factor: 5.948

2.  Detection of live attenuated influenza vaccine virus and evidence of reassortment in the U.S. swine population.

Authors:  Aditi Sharma; Michael A Zeller; Ganwu Li; Karen M Harmon; Jianqiang Zhang; Hai Hoang; Tavis K Anderson; Amy L Vincent; Phillip C Gauger
Journal:  J Vet Diagn Invest       Date:  2020-02-26       Impact factor: 1.279

3.  Detection of Multiple Lineages of PRRSV in Breeding and Growing Swine Farms.

Authors:  Ting-Yu Cheng; Magnus R Campler; Declan C Schroeder; My Yang; Sunil K Mor; Juliana B Ferreira; Andréia G Arruda
Journal:  Front Vet Sci       Date:  2022-06-14

4.  Porcine reproductive and respiratory syndrome virus whole-genome sequencing efficacy with field clinical samples using a poly(A)-tail viral genome purification method.

Authors:  Carl A Gagnon; Christian Lalonde; Chantale Provost
Journal:  J Vet Diagn Invest       Date:  2020-08-28       Impact factor: 1.279

5.  Phylogenetics, Genomic Recombination, and NSP2 Polymorphic Patterns of Porcine Reproductive and Respiratory Syndrome Virus in China and the United States in 2014-2018.

Authors:  Fang Yu; Yi Yan; Xue-Hui Cai; Di Liu; Ganwu Li; Tong-Qing An; Mang Shi; Hai-Zhou Liu; Hong-Liang Zhang; Yong-Bo Yang; Xin-Yi Huang; Phillip C Gauger; Jianqiang Zhang; Yan-He Zhang; Guang-Zhi Tong; Zhi-Jun Tian; Jian-Jun Chen
Journal:  J Virol       Date:  2020-02-28       Impact factor: 5.103

6.  Randomly primed, strand-switching, MinION-based sequencing for the detection and characterization of cultured RNA viruses.

Authors:  Kelsey T Young; Kevin K Lahmers; Holly S Sellers; David E Stallknecht; Rebecca L Poulson; Jerry T Saliki; Stephen Mark Tompkins; Ian Padykula; Chris Siepker; Elizabeth W Howerth; Michelle Todd; James B Stanton
Journal:  J Vet Diagn Invest       Date:  2020-12-24       Impact factor: 1.279

7.  Porcine Astrovirus Type 3 in Central Nervous System of Swine with Polioencephalomyelitis.

Authors:  Bailey Arruda; Paulo Arruda; Melissa Hensch; Qi Chen; Ying Zheng; Chenghuai Yang; Igor Renan Honorato Gatto; Franco Matias Ferreyra; Phil Gauger; Kent Schwartz; Laura Bradner; Karen Harmon; Ben Hause; Ganwu Li
Journal:  Emerg Infect Dis       Date:  2017-12       Impact factor: 6.883

8.  Development of Polioencephalomyelitis in Cesarean-Derived Colostrum-Deprived Pigs Following Experimental Inoculation with Either Teschovirus A Serotype 2 or Serotype 11.

Authors:  Franco Matias Ferreyra; Bailey Arruda; Gregory Stevenson; Kent Schwartz; Darin Madson; Kyoung-Jin Yoon; Jianqiang Zhang; Pablo Piñeyro; Qi Chen; Paulo Arruda
Journal:  Viruses       Date:  2017-07-08       Impact factor: 5.048

9.  Development of a bead-based assay for detection and differentiation of field strains and four vaccine strains of type 2 porcine reproductive and respiratory syndrome virus (PRRSV-2) in the USA.

Authors:  Yin Wang; Wannarat Yim-Im; Elizabeth Porter; Nanyan Lu; Joe Anderson; Lance Noll; Ying Fang; Jianqiang Zhang; Jianfa Bai
Journal:  Transbound Emerg Dis       Date:  2020-09-08       Impact factor: 5.005

10.  PRRSV2 genetic diversity defined by RFLP patterns in the United States from 2007 to 2019.

Authors:  Giovani Trevisan; Aditi Sharma; Phillip Gauger; Karen M Harmon; Jianqiang Zhang; Rodger Main; Michael Zeller; Leticia C M Linhares; Daniel C L Linhares
Journal:  J Vet Diagn Invest       Date:  2021-06-28       Impact factor: 1.569

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