دورية أكاديمية

Visual Analysis for Detection and Quantification of Pseudomonas cichorii Disease Severity in Tomato Plants.

التفاصيل البيبلوغرافية
العنوان: Visual Analysis for Detection and Quantification of Pseudomonas cichorii Disease Severity in Tomato Plants.
المؤلفون: Rajendran DK; Division of Biotechnology, Chonbuk National University, Iksan 54596, Korea., Park E; Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea., Nagendran R; Division of Biotechnology, Chonbuk National University, Iksan 54596, Korea., Hung NB; Division of Biotechnology, Chonbuk National University, Iksan 54596, Korea., Cho BK; Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea., Kim KH; Molecular Breeding Division, National Institute of Agricultural Sciences, Rural Development Administration, Wanju 55365, Korea., Lee YH; Division of Biotechnology, Chonbuk National University, Iksan 54596, Korea; Advanced Institute of Environment & Bioscience and Plant Medical Research Center, Chonbuk National University, Iksan 54596, Korea.
المصدر: The plant pathology journal [Plant Pathol J] 2016 Aug; Vol. 32 (4), pp. 300-10. Date of Electronic Publication: 2016 Aug 01.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Hanrimwon Publishing Company Country of Publication: Korea (South) NLM ID: 100966769 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1598-2254 (Print) Linking ISSN: 15982254 NLM ISO Abbreviation: Plant Pathol J Subsets: PubMed not MEDLINE
أسماء مطبوعة: Publication: : Seoul : Hanrimwon Publishing Company
Original Publication: Suwon, Korea : Korean Society of Plant Pathology, 1999-
مستخلص: Pathogen infection in plants induces complex responses ranging from gene expression to metabolic processes in infected plants. In spite of many studies on biotic stress-related changes in host plants, little is known about the metabolic and phenotypic responses of the host plants to Pseudomonas cichorii infection based on image-based analysis. To investigate alterations in tomato plants according to disease severity, we inoculated plants with different cell densities of P. cichorii using dipping and syringe infiltration methods. High-dose inocula (≥ 10(6) cfu/ml) induced evident necrotic lesions within one day that corresponded to bacterial growth in the infected tissues. Among the chlorophyll fluorescence parameters analyzed, changes in quantum yield of PSII (ΦPSII) and non-photochemical quenching (NPQ) preceded the appearance of visible symptoms, but maximum quantum efficiency of PSII (Fv/Fm) was altered well after symptom development. Visible/near infrared and chlorophyll fluorescence hyperspectral images detected changes before symptom appearance at low-density inoculation. The results of this study indicate that the P. cichorii infection severity can be detected by chlorophyll fluorescence assay and hyperspectral images prior to the onset of visible symptoms, indicating the feasibility of early detection of diseases. However, to detect disease development by hyperspectral imaging, more detailed protocols and analyses are necessary. Taken together, change in chlorophyll fluorescence is a good parameter for early detection of P. cichorii infection in tomato plants. In addition, image-based visualization of infection severity before visual damage appearance will contribute to effective management of plant diseases.
References: Trends Plant Sci. 2012 Sep;17(9):538-45. (PMID: 22749315)
Plant Physiol Biochem. 2013 May;66:68-76. (PMID: 23474432)
Photosynth Res. 2005 Jun;84(1-3):121-9. (PMID: 16049764)
Phytopathology. 1999 Feb;89(2):131-5. (PMID: 18944786)
J Exp Bot. 2007;58(15-16):4019-26. (PMID: 18182420)
J Plant Physiol. 2011 Nov 15;168(17):2035-40. (PMID: 21820756)
Plant Cell. 2003 Feb;15(2):317-30. (PMID: 12566575)
J Exp Bot. 2013 Oct;64(13):3983-98. (PMID: 23913954)
Res Microbiol. 2014 Oct;165(8):620-9. (PMID: 25127676)
Physiol Plant. 2015 Jan;153(1):161-74. (PMID: 24871330)
Appl Spectrosc. 2009 Apr;63(4):450-7. (PMID: 19366512)
Plant Cell Physiol. 2004 Jul;45(7):887-96. (PMID: 15295072)
J Exp Bot. 2012 Feb;63(4):1619-36. (PMID: 22282535)
Plant Cell. 1997 Oct;9(10):1825-1841. (PMID: 12237349)
Mol Plant Microbe Interact. 2005 Nov;18(11):1161-74. (PMID: 16353551)
Plant Cell Environ. 2010 Oct;33(10):1597-613. (PMID: 20444224)
Plant Dis. 2012 Jan;96(1):142. (PMID: 30731876)
Trends Plant Sci. 2011 Dec;16(12):635-44. (PMID: 22074787)
Planta. 2006 Dec;225(1):1-12. (PMID: 16807755)
Mol Plant Microbe Interact. 2008 Apr;21(4):383-95. (PMID: 18321184)
Photosynth Res. 2008 Apr;96(1):27-35. (PMID: 18000760)
Front Plant Sci. 2014 Feb 10;5:17. (PMID: 24575102)
Phytopathology. 2015 Apr;105(4):412-8. (PMID: 25536016)
فهرسة مساهمة: Keywords: chlorophyll fluorescence; detection; hyperspectral image; phenome
تواريخ الأحداث: Date Created: 20160806 Date Completed: 20160805 Latest Revision: 20240325
رمز التحديث: 20240325
مُعرف محوري في PubMed: PMC4968640
DOI: 10.5423/PPJ.OA.01.2016.0032
PMID: 27493605
قاعدة البيانات: MEDLINE
الوصف
تدمد:1598-2254
DOI:10.5423/PPJ.OA.01.2016.0032