Back

Genotypic and Phenotypic Analyses Show Ralstonia solanacearum Cool Virulence is a Quantitative Trait Not Restricted to 'Race 3 biovar 2'

Dewberry, R. J.; Sharma, P.; Prom, J. L.; Kinscherf, N. A.; Lowe-Power, T.; Mazloom, R.; Zhang, X.; Arif, M.; Stulberg, M.; Heath, L. S.; Eversole, K.; Beattie, G. A.; Vinatzer, B.; Allen, C.

2024-06-13 microbiology
10.1101/2024.06.13.598915 bioRxiv
Show abstract

Most Ralstonia solanacearum species complex strains cause bacterial wilts in tropical or subtropical zones, but the group known as Race 3 biovar 2 (R3bv2) is cool virulent and causes potato brown rot at lower temperatures. R3bv2 has invaded potato-growing regions around the world but is not established in the United States. Phylogenetically, R3bv2 corresponds to a subset of the R. solanacearum phylotype IIB clade, but little is known about the distribution of the cool virulence phenotype within phylotype IIB. Therefore, genomes of 76 potentially cool virulent phylotype IIB strains and 30 public genomes were phylogenetically analyzed. A single clonal lineage within the sequevar 1 subclade of phylotype IIB that originated in South America has caused nearly all brown rot outbreaks worldwide. To correlate genotypes with relevant phenotypes, we quantified virulence of ten Ralstonia strains on tomato and potato at both 22{degrees}C and 28{degrees}C. Cool virulence on tomato did not predict cool virulence on potato. We found that cool virulence is a quantitative trait. Strains in the sequevar 1 pandemic clonal lineage caused the most disease, while other R3bv2 strains were only moderately cool virulent. However, some non-R3bv2 strains were highly cool virulent and aggressively colonized potato tubers. Thus, cool virulence is not consistently correlated with strains historically classified as R3bv2 group. To aid detection of sequevar 1 strains, this group was genomically delimited in the LINbase web server and a sequevar 1 diagnostic primer pair was developed and validated. We discuss implications of these results for the R3bv2 definition.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Phytopathology®
28 papers in training set
Top 0.1%
22.2%
2
Plant Disease
21 papers in training set
Top 0.1%
6.2%
3
mBio
750 papers in training set
Top 3%
4.8%
4
mSphere
281 papers in training set
Top 2%
3.5%
5
Environmental Microbiology
119 papers in training set
Top 0.9%
3.5%
6
New Phytologist
309 papers in training set
Top 2%
3.5%
7
G3
33 papers in training set
Top 0.1%
3.5%
8
Scientific Reports
3102 papers in training set
Top 40%
3.2%
50% of probability mass above
9
Frontiers in Microbiology
375 papers in training set
Top 3%
2.8%
10
Evolutionary Applications
91 papers in training set
Top 0.3%
2.8%
11
Applied and Environmental Microbiology
301 papers in training set
Top 1%
2.7%
12
Microbial Genomics
204 papers in training set
Top 0.8%
2.6%
13
Molecular Plant-Microbe Interactions®
55 papers in training set
Top 0.2%
2.3%
14
PLOS ONE
4510 papers in training set
Top 51%
1.9%
15
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 30%
1.9%
16
PLOS Pathogens
721 papers in training set
Top 6%
1.7%
17
Microbiology Spectrum
435 papers in training set
Top 3%
1.7%
18
mSystems
361 papers in training set
Top 5%
1.7%
19
Plant Pathology
16 papers in training set
Top 0.1%
1.7%
20
Molecular Ecology
304 papers in training set
Top 3%
1.3%
21
eLife
5422 papers in training set
Top 47%
1.3%
22
Microbiology
57 papers in training set
Top 0.8%
1.2%
23
PLOS Genetics
756 papers in training set
Top 11%
1.2%
24
Molecular Plant Pathology
22 papers in training set
Top 0.2%
1.1%
25
Journal of Virology
456 papers in training set
Top 3%
0.9%
26
Journal of Clinical Microbiology
120 papers in training set
Top 2%
0.8%
27
BMC Genomics
328 papers in training set
Top 5%
0.8%
28
Frontiers in Plant Science
240 papers in training set
Top 5%
0.7%
29
Peer Community Journal
254 papers in training set
Top 4%
0.7%
30
Nature Communications
4913 papers in training set
Top 63%
0.7%