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Article

Peptidome and Transcriptome Analysis of Plant Peptides Involved in Bipolaris maydis Infection of Maize

1
National Engineering Laboratory of Crop Stress Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei 230036, China
2
Key Laboratory of Crop Biology of Anhui Province, School of Life Sciences, Anhui Agricultural University, Hefei 230036, China
3
School of Plant Protection, Anhui Agricultural University, Hefei 230036, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Plants 2023, 12(6), 1307; https://doi.org/10.3390/plants12061307
Submission received: 26 January 2023 / Revised: 8 March 2023 / Accepted: 8 March 2023 / Published: 14 March 2023
(This article belongs to the Special Issue Omics in Plant-Pathogen Interaction)

Abstract

Southern corn leaf blight (SCLB) caused by Bipolaris maydis threatens maize growth and yield worldwide. In this study, TMT-labeled comparative peptidomic analysis was established between infected and uninfected maize leaf samples using liquid-chromatography-coupled tandem mass spectrometry. The results were further compared and integrated with transcriptome data under the same experimental conditions. Plant peptidomic analysis identified 455 and 502 differentially expressed peptides (DEPs) in infected maize leaves on day 1 and day 5, respectively. A total of 262 common DEPs were identified in both cases. Bioinformatic analysis indicated that the precursor proteins of DEPs are associated with many pathways generated by SCLB-induced pathological changes. The expression profiles of plant peptides and genes in maize plants were considerably altered after B. maydis infection. These findings provide new insights into the molecular mechanisms of SCLB pathogenesis and offer a basis for the development of maize genotypes with SCLB resistance.
Keywords: Zea mays L.; Bipolaris maydis; southern corn leaf blight; transcriptomics; peptidomics Zea mays L.; Bipolaris maydis; southern corn leaf blight; transcriptomics; peptidomics

Share and Cite

MDPI and ACS Style

Sheng, P.; Xu, M.; Zheng, Z.; Liu, X.; Ma, W.; Ding, T.; Zhang, C.; Chen, M.; Zhang, M.; Cheng, B.; et al. Peptidome and Transcriptome Analysis of Plant Peptides Involved in Bipolaris maydis Infection of Maize. Plants 2023, 12, 1307. https://doi.org/10.3390/plants12061307

AMA Style

Sheng P, Xu M, Zheng Z, Liu X, Ma W, Ding T, Zhang C, Chen M, Zhang M, Cheng B, et al. Peptidome and Transcriptome Analysis of Plant Peptides Involved in Bipolaris maydis Infection of Maize. Plants. 2023; 12(6):1307. https://doi.org/10.3390/plants12061307

Chicago/Turabian Style

Sheng, Pijie, Minyan Xu, Zhenzhen Zheng, Xiaojing Liu, Wanlu Ma, Ting Ding, Chenchen Zhang, Meng Chen, Mengting Zhang, Beijiu Cheng, and et al. 2023. "Peptidome and Transcriptome Analysis of Plant Peptides Involved in Bipolaris maydis Infection of Maize" Plants 12, no. 6: 1307. https://doi.org/10.3390/plants12061307

APA Style

Sheng, P., Xu, M., Zheng, Z., Liu, X., Ma, W., Ding, T., Zhang, C., Chen, M., Zhang, M., Cheng, B., & Zhang, X. (2023). Peptidome and Transcriptome Analysis of Plant Peptides Involved in Bipolaris maydis Infection of Maize. Plants, 12(6), 1307. https://doi.org/10.3390/plants12061307

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