Leaf bacteriome in sugar beet show differential response against beet curly top virus during resistant and susceptible interactions
Majumdar, R. and Strausbaugh, C.A. and Vincill, E.D. and Eujayl, Imad A. and Galewski, Paul J. (2022) Leaf bacteriome in sugar beet show differential response against beet curly top virus during resistant and susceptible interactions. International Journal of Molecular Sciences. 22 July 2022.
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Abstract
Beet curly top virus (BCTV) is an important sugar beet yield limiting disease in semi-arid production areas. Genetic resistance to BCTV is limited; therefore, identification of additional resistance associated factors is highly desired. Using 16S rRNA sequencing and BCTV resistant (R) genotypes (KDH13, KDH4-9) along with a susceptible (S) genotype (KDH19-17), we investigated leaf bacteriome changes during BCTV post inoculation (pi). At day 6 (~6 week-old plants), Cyanobacteria were predominant (~90%), whereas at week 4 (~10 week-old plants) Firmicutes (11-66%), Bacteroidetes (17-26%), and Verrucomicrobia (12-29%) were predominant and genotype dependent. Both Bacteroidetes and Verrucomicrobia, increased post infection only in the R lines. Brevibacillus increased at 6 dpi, and Akkermansia and Bacteroides at 4 wkpi in the R lines. Linear discriminant analysis Effect Size identified potential biomarkers in the R lines vs. S line. Functional profiling revealed bacterial enrichment associated with TCA cycle, polyisoprenoid, and L-methione biosynthesis pathways only in KDH4-9 at 6 dpi. At 4 wkpi, bacteria associated with tryptophan and palmitate biosynthesis in the R lines and uridine monophosphate, phosphatidyl glycerol, and phospholipid biosynthesis in the S line, were enriched. Future characterization of bacterial genera with antiviral properties will help establish their use as biocontrol agents/biomarkers against BCTV.
Item Type: | Article |
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NWISRL Publication Number: | 1730 |
Subjects: | Irrigated crops > Sugarbeet > Curly top Irrigated crops > Sugarbeet > Resistance Irrigated crops > Sugarbeet Research methodology |
Depositing User: | Users 11 not found. |
Date Deposited: | 27 Jul 2022 16:57 |
Last Modified: | 27 Jul 2022 16:57 |
Item ID: | 1770 |
URI: | https://eprints.nwisrl.ars.usda.gov/id/eprint/1770 |