Quantitative detection of the maize phytocytokine Zip1 utilizing ELISA
Plant signaling peptides, also known as phytocytokines, play a crucial role in cell-to-cell communication during plant development and immunity. The detection of small peptides in plant tissues is challenging and often relies on time-consuming and cost-intensive approaches. Here, we present an ELISA-based assay as a rapid and cost-effective method for the detection of naturally released peptides in plant tissues. Our ELISA-based method was developed to detect Zip1, a 17-amino-acid phytocytokine derived from Zea mays that elicits salicylic acid signaling in maize leaves. Using a custom peptide-antibody, we designed an experimental pipeline to achieve peptide specificity, selectivity, and sensitivity allowing the detection of the Zip1 peptide in complex biological samples. As a proof of concept, we first overexpressed the precursor molecule PROZIP1 in Nicotiana benthamiana and in transfected maize protoplasts and monitored the release of Zip1-containing peptides. In a second approach we treated maize leaves with salicylic acid to induce native PROZIP1 expression and processing. Using ELISA, we were able to quantify native Zip1 signals with a detection limit in the nanogram range, which allowed us to detect different Zip1-containing peptides in plant material. This method can be adapted for the detection and quantification of a variety of plant signaling peptides.
Authors
- Gunther Doehlemann (ORCID: https://orcid.org/0000-0002-7353-8456)
- Johana C. Misas Villamil (ORCID: https://orcid.org/0000-0002-9623-0710)
- Zarah Sorger (ORCID: https://orcid.org/0009-0002-7560-1321)
- Maurice Koenig
- Shania Pin Yin Keh (ORCID: https://orcid.org/0009-0007-0964-8611)
Institutions
- University of Cologne (DE)
- Cluster of Excellence on Plant Sciences (DE)
Publication Details
- Journal
- Journal of Experimental Botany
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1093/jxb/erae423
- Citations
- 1
- Primary Topic
- Biochemical and Structural Characterization
- Type
- article
- Field-Weighted Citation Impact
- 0.23
Funders
- Deutsche Forschungsgemeinschaft