Early asymptomatic prediction of potato soft rot disease using phytohormone‐induced volatile biomarkers

Author:

Ray Rittika1,Singh Shiv Shakti1,Sircar Debabrata1

Affiliation:

1. Department of Biosciences and Bioengineering Indian Institute of Technology Roorkee Roorkee India

Abstract

AbstractPotatoes (Solanum tuberosum L.) are one of the world's major staple crops. In stored potatoes, Pectobacterium carotovorum subsp carotovorum causes soft rot. As a result of the rapid spread of the disease during post‐harvest storage, potato production suffers huge losses. By detecting disease early and controlling it promptly, losses can be minimized. The profile of volatiles of plants can be altered by phytopathogens. Identifying unique volatile organic compounds (VOCs) as biomarkers for early disease detection has attracted considerable research attention. This study compared the VOC profiles of healthy and soft rot inoculated potatoes (cv. “Kufri Pukhraj”) over a time course using gas chromatography–mass spectrometry (GC–MS). It was found that there was a differential emission of 27 VOCs between healthy non‐inoculated potatoes and soft rot inoculated potatoes. Among 27 VOCs, only five (1‐octen‐3‐ol, 2‐methylisoborneol, 3‐octanone, 1,4‐dimethyladamantane, and 2‐methyl‐2‐bornene) were found exclusively in soft rot inoculated potatoes, suggesting them potential biomarker for non‐destructive prediction of soft rot disease in potatoes. Reactive oxygen species (H2O2) and phytohormone methyl‐jasmonate (MeJa) levels increased transiently on infection with soft rot. The analysis of the primary metabolism of soft rot infected tubers at three different stages suggests metabolic reprogramming that occurs at the early stage of infection, possibly leading to biomarker volatile emission. Based on these results, it appears that the initial potato‐soft rot bacteria interaction initiates metabolic reprogramming mainly through H2O2 and the MeJa signalling pathway. In asymptomatic potatoes, these biomarkers may be promising candidates for non‐destructive detection of soft rot at an early stage. These biomarkers can be used to develop an e‐nose sensor to predict soft rot in the future.

Funder

Science and Engineering Research Board

Publisher

Wiley

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