scholarly journals Deciphering Phenotypic Diversity of Ralstonia solanacearum Strains Pathogenic to Potato

2010 ◽  
Vol 100 (11) ◽  
pp. 1250-1261 ◽  
Author(s):  
G. Cellier ◽  
P. Prior

Based on the phylotype classification, we questioned how genetically and phenotypically diverse strains of Ralstonia solanacearum pathogenic to potato may be. We studied 129 European and Mediterranean strains along with 57 reference strains known to cover genetic diversity in this species. Phylogeny analysis was done on endoglucanase gene sequences. Pathogenicity to potato, tomato, and eggplant was established at 24 to 30°C and 15 to 24°C, whereas tests on banana were conducted at 24 to 30°C. The ability to cause wilt on species of Solanaceae was shared by strains in all four phylotypes. Brown rot phylotypes IIB-1 and IIB-2 and phylotype IIB-27 established latent infections in banana, and Moko disease-causing phylotypes IIA-6, IIB-3, and IIB-4 were virulent to susceptible potato and tomato, addressing the question of host adaptation mechanisms, which may have undergone a similar bottleneck evolution. Cold-tolerance ability is only shared on species of Solanaceae among brown rot phylotype IIB-1, which gathered the majority of European and Mediterranean strains. We surveyed strain LNPV24.25 as the first report of an emerging phylotype IIB-4NPB strain in France. These findings showed that pathogenicity traits of genetically identified strains still need to be understood, especially in the perspective of post-genomics comparative analysis, to understand bacterial speciation in the R. solanacearum species complex.

2021 ◽  
Author(s):  
Parul Sharma ◽  
Marcela A. Johnson ◽  
Reza Mazloom ◽  
Caitilyn Allen ◽  
Lenwood S. Heath ◽  
...  

AbstractRalstonia solanacearum species complex (RSSC) strains are bacteria that colonize plant xylem and cause vascular wilt diseases. However, individual strains vary in host range, optimal disease temperatures, and physiological traits. To increase our understanding of the evolution, diversity, and biology of the RSSC, we performed a meta-analysis of 100 representative RSSC genomes. These 100 RSSC genomes contain 4,940 genes on average, and a pangenome analysis found that there are 3,262 genes in the core genome (∼60% of the mean RSSC genome) with 13,128 genes in the extensive flexible genome. Although a core genome phylogenetic tree and a genome similarity matrix aligned with the previously named species (R. solanacearum, R. pseudosolanacearum, R. syzygii) and phylotypes (I-IV), these analyses also highlighted an unrecognized sub-clade of phylotype II. Additionally, we identified differences between phylotypes with respect to gene content and recombination rate, and we delineated population clusters based on the extent of horizontal gene transfer. Multiple analyses indicate that phylotype II is the most diverse phylotype, and it may thus represent the ancestral group of the RSSC. Additionally, we also used our genome-based framework to test whether the RSSC sequence variant (sequevar) taxonomy is a robust method to define within-species relationships of strains. The sequevar taxonomy is based on alignments of a single conserved gene (egl). Although sequevars in phylotype II describe monophyletic groups, the sequevar system breaks down in the highly recombinogenic phylotype I, which highlights the need for an improved cost-effective method for genotyping strains in phylotype I. Finally, we enabled quick and precise genome-based identification of newly sequenced Ralstonia strains by assigning Life Identification Numbers (LINs) to the 100 strains and by circumscribing the RSSC and its sub-groups in the LINbase Web service.IMPACT STATEMENTThe Ralstonia solanacearum species complex (RSSC) includes dozens of economically important pathogens of many cultivated and wild plants. The extensive genetic and phenotypic diversity that exists within the RSSC has made it challenging to subdivide this group into meaningful subgroups with relevance to plant disease control and plant biosecurity. This study provides a solid genome-based framework for improved classification and identification of the RSSC by analyzing one hundred representative RSSC genome sequences with a suite of comparative evolutionary genomic tools. The results also lay the foundation for additional in-depth studies to gain further insights into evolution and biology of this heterogeneous complex of destructive plant pathogens.DATA SUMMARYThe authors confirm that all raw data and code and protocols have been provided within the manuscript. All publicly available sequencing data used for analysis have been supplemented with accession numbers to access the data. The assembled genome of strain 19-3PR_UW348 was submitted to NCBI under Bioproject PRJNA775652 Biosample SAMN22612291. This Whole Genome Shotgun project has been deposited at GenBank under the accession JAJMMU000000000. The version described in this paper is version JAJMMU010000000.


Genomics ◽  
2021 ◽  
Author(s):  
Osiel Silva Gonçalves ◽  
Flávia de Oliveira Souza ◽  
Fernanda Prieto Bruckner ◽  
Mateus Ferreira Santana ◽  
Poliane Alfenas-Zerbini

2021 ◽  
Author(s):  
Rodrigo G. Freitas ◽  
Pollyane S. Hermenegildo ◽  
Lúcio M. S. Guimarães ◽  
Edival A. V. Zauza ◽  
Jorge L. Badel ◽  
...  

Author(s):  
Viola Kurm ◽  
Ilse Houwers ◽  
Claudia E. Coipan ◽  
Peter Bonants ◽  
Cees Waalwijk ◽  
...  

AbstractIdentification and classification of members of the Ralstonia solanacearum species complex (RSSC) is challenging due to the heterogeneity of this complex. Whole genome sequence data of 225 strains were used to classify strains based on average nucleotide identity (ANI) and multilocus sequence analysis (MLSA). Based on the ANI score (>95%), 191 out of 192(99.5%) RSSC strains could be grouped into the three species R. solanacearum, R. pseudosolanacearum, and R. syzygii, and into the four phylotypes within the RSSC (I,II, III, and IV). R. solanacearum phylotype II could be split in two groups (IIA and IIB), from which IIB clustered in three subgroups (IIBa, IIBb and IIBc). This division by ANI was in accordance with MLSA. The IIB subgroups found by ANI and MLSA also differed in the number of SNPs in the primer and probe sites of various assays. An in-silico analysis of eight TaqMan and 11 conventional PCR assays was performed using the whole genome sequences. Based on this analysis several cases of potential false positives or false negatives can be expected upon the use of these assays for their intended target organisms. Two TaqMan assays and two PCR assays targeting the 16S rDNA sequence should be able to detect all phylotypes of the RSSC. We conclude that the increasing availability of whole genome sequences is not only useful for classification of strains, but also shows potential for selection and evaluation of clade specific nucleic acid-based amplification methods within the RSSC.


2014 ◽  
Vol 104 (11) ◽  
pp. 1175-1182 ◽  
Author(s):  
Greecy M. R. Albuquerque ◽  
Liliana A. Santos ◽  
Kátia C. S. Felix ◽  
Christtianno L. Rollemberg ◽  
Adriano M. F. Silva ◽  
...  

The epidemic situation of Moko disease-causing strains in Latin America and Brazil is unclear. Thirty-seven Ralstonia solanacearum strains from Brazil that cause the Moko disease on banana and heliconia plants were sampled and phylogenetically typed using the endoglucanase (egl) and DNA repair (mutS) genes according to the phylotype and sequevar classification. All of the strains belonged to phylotype II and a portion of the strains was typed as the Moko disease-related sequevars IIA-6 and IIA-24. Nevertheless, two unsuspected sequevars also harbored the Moko disease-causing strains IIA-41 and IIB-25, and a new sequevar was described and named IIA-53. All of the strains were pathogenic to banana and some of the strains of sequevars IIA-6, IIA-24, and IIA-41 were also pathogenic to tomato. The Moko disease-causing strains from sequevar IIB-25 were pathogenic to potato but not to tomato. These results highlight the high diversity of strains of Moko in Brazil, reinforce the efficiency of the egl gene to reveal relationships among these strains, and contribute to a better understanding of the diversity of paraphyletic Moko disease-causing strains of the R. solanacearum species complex, where the following seven distinct genetic clusters have been described: IIA-6, IIA-24, IIA-41, IIA-53, IIB-3, IIB-4, and IIB-25.


2020 ◽  
Vol 15 (11) ◽  
pp. 2860-2865
Author(s):  
Shoko Komatsu ◽  
Chiaki Tsumori ◽  
Kouhei Ohnishi ◽  
Kenji Kai

1998 ◽  
pp. 146-152 ◽  
Author(s):  
J. D. Janse ◽  
F. A. X. Araluppan ◽  
J. Schans ◽  
M. Wenneker ◽  
W. Westerhuis

2019 ◽  
Vol 109 (11) ◽  
pp. 1922-1931 ◽  
Author(s):  
Abdulwahab Abdurahman ◽  
Monica L. Parker ◽  
Jan Kreuze ◽  
John G. Elphinstone ◽  
Paul C. Struik ◽  
...  

Bacterial wilt (BW) caused by the Ralstonia solanacearum species complex (RSSC) is a serious threat to potato production in Uganda. However, little is known about the extent of the disease and the type of the pathogen strains involved. A nationwide survey was conducted to study BW prevalence and incidence in potato, and potato tuber and stem samples of potential alternative hosts were collected for pathogen isolation. DNA was extracted from pure cultures for genetic diversity studies. The pathogen was phylotyped by multiplex PCR; then, a subset of isolates was typed at sequevar level. Isolates of the same sequevar were then haplotyped using multilocus tandem repeat sequence typing (TRST) schemes. BW prevalence and incidence in potato farms were 81.4 and 1.7%, respectively. Three RSSC phylotypes were identified, with the majority of the strains belonging to Phylotype II (80%) followed by Phylotype I (18.5%) and III (1.5%). Phylotype I strains belonged to Sequevar 31, and Phylotype II strains belonged to Sequevar 1. Potato-associated Phylotype II Sequevar 1 strains were more diverse (27 TRST haplotypes) than nonpotato Phylotype I (5 TRST haplotypes). Mapping of TRST haplotypes revealed that three TRST haplotypes of Phylotype II Sequevar 1 strains play an important epidemiological role in BW of potato in Uganda being disseminated via latently infected seed. [Formula: see text] Copyright © 2019 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .


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