<p><i>Xanthomonas oryzae</i> pv. <i>oryzae (Xoo)</i> is a significant pathogen responsible for seed-borne diseases that negatively impact rice yields globally. Effective early detection methods for this pathogen, particularly those based on nucleic acid detection, are crucial for maintaining plant health. This study presented an electrochemical DNA biosensor that utilized a novel pyrrolidinyl peptide nucleic acid (acpcPNA) probe sequence derived from the <i>wxoC</i> gene, which encoded a putative glycosyltransferase, for sensitive, selective, and direct detection of <i>Xoo</i> in rice seed samples. The acpcPNA probe was designed, synthesized, and characterized using mass spectrometry and melting temperature analysis. It was then immobilized onto a graphene oxide-bovine serum albumin (GO/BSA) nanocomposite modified electrode&#xa0;to demonstrate its electrochemical sensing capabilities, as GO/BSA aided in stabilizing film formation, leading to an effective immobilization process. The formation of the probe with <i>Xoo</i> double-stranded DNA&#xa0;(dsDNA) via duplex invasion considerably reduced the redox signal response due to electrostatic repulsion and insulating properties. With the optimized conditions, the sensor demonstrated a linear detection range from 10 to 20 × 10<sup>3</sup>&#xa0;nM for synthetic DNA and 10<sup>3</sup> to 10<sup>8</sup> CFU/mL for bacterial cell culture, with detection and quantification limits of 1.8 and 10&#xa0;nM, and 1 × 10<sup>3</sup> and 3.3 × 10<sup>3</sup>&#xa0;CFU/mL, respectively. This biosensor successfully detected <i>Xoo</i> dsDNA in artificially and naturally infected rice seeds without pre-enrichment and denaturation in a label-free format within 45&#xa0;min, as verified by polymerase chain reaction. Furthermore, the system offered exceptional&#xa0;specificity, making it a promising tool for the early detection of this pathogen.</p> Graphical Abstract <p></p>

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Electrochemical DNA biosensor based on a novel pyrrolidinyl peptide nucleic acid sequence immobilized on a graphene oxide/bovine serum albumin–modified electrode for the direct diagnosis of seed-borne pathogen

  • Hendra Hendra,
  • Wiphawee Leesutthiphonchai,
  • Nattakorn Kuncharoen,
  • Supot Kasem,
  • Orawon Chailapakul,
  • Tugba Ozer,
  • Sakda Jampasa,
  • Tiyakhon Chatnaparat

摘要

Xanthomonas oryzae pv. oryzae (Xoo) is a significant pathogen responsible for seed-borne diseases that negatively impact rice yields globally. Effective early detection methods for this pathogen, particularly those based on nucleic acid detection, are crucial for maintaining plant health. This study presented an electrochemical DNA biosensor that utilized a novel pyrrolidinyl peptide nucleic acid (acpcPNA) probe sequence derived from the wxoC gene, which encoded a putative glycosyltransferase, for sensitive, selective, and direct detection of Xoo in rice seed samples. The acpcPNA probe was designed, synthesized, and characterized using mass spectrometry and melting temperature analysis. It was then immobilized onto a graphene oxide-bovine serum albumin (GO/BSA) nanocomposite modified electrode to demonstrate its electrochemical sensing capabilities, as GO/BSA aided in stabilizing film formation, leading to an effective immobilization process. The formation of the probe with Xoo double-stranded DNA (dsDNA) via duplex invasion considerably reduced the redox signal response due to electrostatic repulsion and insulating properties. With the optimized conditions, the sensor demonstrated a linear detection range from 10 to 20 × 103 nM for synthetic DNA and 103 to 108 CFU/mL for bacterial cell culture, with detection and quantification limits of 1.8 and 10 nM, and 1 × 103 and 3.3 × 103 CFU/mL, respectively. This biosensor successfully detected Xoo dsDNA in artificially and naturally infected rice seeds without pre-enrichment and denaturation in a label-free format within 45 min, as verified by polymerase chain reaction. Furthermore, the system offered exceptional specificity, making it a promising tool for the early detection of this pathogen.

Graphical Abstract