共 3 条
Amino acid, sugar, phenolic, and terpenoid profiles are capable of distinguishing Citrus tristeza virus infection status in citrus cultivars: Grapefruit, lemon, mandarin, and sweet orange
被引:0
|作者:
Wallis, Christopher
[1
]
Gorman, Zachary T.
[1
]
Rattner, Rachel T.
[1
]
Hajeri, Subhas T.
[2
]
Yokomi, Raymond T.
[1
]
机构:
[1] United States Dept Agr, Agr Res Serv San Joaquin Valley Agr Sci Ctr, Crop Dis Pests & Genet Res Unit, Parlier, CA 20250 USA
[2] Cent Calif Tristeza Eradicat Agcy, Citrus Pest Detect Program, Tulare, CA USA
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D O I:
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中图分类号:
Q93 [微生物学];
学科分类号:
071005 ;
100705 ;
摘要:
Citrus tristeza virus (CTV) is the most severe viral disease for citrus production. Many strains of CTV have been characterized and their symptomology widely varies, ranging from asymptomatic or mild infections to severe symptomology that results in substantial yield loss or host death. The capacity of the different CTV strains to affect the biochemistry of different citrus species has remained largely unstudied, despite that associated metabolomic shifts would be relevant toward symptom development. Thus, amino acid, sugar, phenolic, and terpenoid levels were assessed in leaves of healthy and CTV-infected grapefruit, lemon, mandarin, and two different sweet orange cultivars. Both mild [VT-negative (VT-)] and severe [VT-positive (VT+)] CTV genotype strains were utilized. When looking at overall totals of these metabolite classes, only amino acid levels were significantly increased by infection of citrus with severe CTV strains, relative to mild CTV strains or healthy plants. No significant trends of CTV infection on summed amounts of all sugar, phenolic, or terpenoid compounds were observed. However, individual compound levels were affected by CTV infections. Subsequent canonical discriminant analysis (CDA) that utilized profiles of individual amino acids, terpenoids, or phenolics successfully distinguished leaf samples to specific citrus varieties and identified infection status with good accuracy. Collectively, this study reveals biochemical patterns associated with severity of CTV infections that can potentially be utilized to help identify in-field CTV infections of economic relevance.
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