Literature DB >> 24463952

Revisiting the classification of curtoviruses based on genome-wide pairwise identity.

Arvind Varsani1, Darren P Martin, Jesús Navas-Castillo, Enrique Moriones, Cecilia Hernández-Zepeda, Ali Idris, F Murilo Zerbini, Judith K Brown.   

Abstract

Members of the genus Curtovirus (family Geminiviridae) are important pathogens of many wild and cultivated plant species. Until recently, relatively few full curtovirus genomes have been characterised. However, with the 19 full genome sequences now available in public databases, we revisit the proposed curtovirus species and strain classification criteria. Using pairwise identities coupled with phylogenetic evidence, revised species and strain demarcation guidelines have been instituted. Specifically, we have established 77 % genome-wide pairwise identity as a species demarcation threshold and 94 % genome-wide pairwise identity as a strain demarcation threshold. Hence, whereas curtovirus sequences with >77 % genome-wide pairwise identity would be classified as belonging to the same species, those sharing >94 % identity would be classified as belonging to the same strain. We provide step-by-step guidelines to facilitate the classification of newly discovered curtovirus full genome sequences and a set of defined criteria for naming new species and strains. The revision yields three curtovirus species: Beet curly top virus (BCTV), Spinach severe surly top virus (SpSCTV) and Horseradish curly top virus (HrCTV).

Entities:  

Mesh:

Year:  2014        PMID: 24463952     DOI: 10.1007/s00705-014-1982-x

Source DB:  PubMed          Journal:  Arch Virol        ISSN: 0304-8608            Impact factor:   2.574


  21 in total

1.  The 35-amino acid C2 protein of Cotton leaf curl Kokhran virus, Burewala, implicated in resistance breaking in cotton, retains some activities of the full-length protein.

Authors:  Fazal Akbar; Zafar Iqbal; Rob W Briddon; Franck Vazquez; Muhammad Saeed
Journal:  Virus Genes       Date:  2016-05-21       Impact factor: 2.332

2.  Minimal genomic variability in Merremia mosaic virus isolates endemic in Merremia spp and cultivated tomato in Puerto Rico.

Authors:  Ali M Idris; M A Al-Saleh; A M Zakri; J K Brown
Journal:  Virusdisease       Date:  2018-02-23

3.  Naryaviridae, Nenyaviridae, and Vilyaviridae: three new families of single-stranded DNA viruses in the phylum Cressdnaviricota.

Authors:  Mart Krupovic; Arvind Varsani
Journal:  Arch Virol       Date:  2022-09-13       Impact factor: 2.685

4.  Two Populations of Viral Minichromosomes Are Present in a Geminivirus-Infected Plant Showing Symptom Remission (Recovery).

Authors:  Esther Adriana Ceniceros-Ojeda; Edgar Antonio Rodríguez-Negrete; Rafael Francisco Rivera-Bustamante
Journal:  J Virol       Date:  2016-03-28       Impact factor: 5.103

5.  Sucrose Nonfermenting 1-Related Protein Kinase 1 Phosphorylates a Geminivirus Rep Protein to Impair Viral Replication and Infection.

Authors:  Wei Shen; Benjamin G Bobay; Laura A Greeley; Maria I Reyes; Cyprian A Rajabu; R Kevin Blackburn; Mary Beth Dallas; Michael B Goshe; Jose T Ascencio-Ibáñez; Linda Hanley-Bowdoin
Journal:  Plant Physiol       Date:  2018-07-13       Impact factor: 8.340

6.  The efficacy of antisense-based construct for inducing resistance against Croton yellow vein mosaic virus in Nicotiana tabacum.

Authors:  V Sinha; N B Sarin; D Bhatnagar
Journal:  Virus Genes       Date:  2017-07-31       Impact factor: 2.332

7.  Improvements to pairwise sequence comparison (PASC): a genome-based web tool for virus classification.

Authors:  Yiming Bao; Vyacheslav Chetvernin; Tatiana Tatusova
Journal:  Arch Virol       Date:  2014-08-14       Impact factor: 2.574

8.  SDT: a virus classification tool based on pairwise sequence alignment and identity calculation.

Authors:  Brejnev Muhizi Muhire; Arvind Varsani; Darren Patrick Martin
Journal:  PLoS One       Date:  2014-09-26       Impact factor: 3.240

9.  Geminivirus data warehouse: a database enriched with machine learning approaches.

Authors:  Jose Cleydson F Silva; Thales F M Carvalho; Marcos F Basso; Michihito Deguchi; Welison A Pereira; Roberto R Sobrinho; Pedro M P Vidigal; Otávio J B Brustolini; Fabyano F Silva; Maximiller Dal-Bianco; Renildes L F Fontes; Anésia A Santos; Francisco Murilo Zerbini; Fabio R Cerqueira; Elizabeth P B Fontes
Journal:  BMC Bioinformatics       Date:  2017-05-05       Impact factor: 3.169

10.  Fangorn Forest (F2): a machine learning approach to classify genes and genera in the family Geminiviridae.

Authors:  José Cleydson F Silva; Thales F M Carvalho; Elizabeth P B Fontes; Fabio R Cerqueira
Journal:  BMC Bioinformatics       Date:  2017-09-30       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.