Local binary pattern and its variants: application to face analysis

Jade Lizé (1) , Vincent Débordès (1) , Hua Lu (2) , Kidiyo Kpalma (3) , Joseph Ronsin (3)

1 IETR - Institut d'Électronique et des Technologies du numéRique
2 School of Physics and Electronics, Shandong Normal University
3 IETR - Institut d'Electronique et de Télécommunications de Rennes

Unlabelled - Tomato yellow leaf curl virus (TYLCV) causes tremendous losses of tomato worldwide. An elicitor Hrip1, which produced by , can serve as a pathogen-associated molecular patterns (PAMPs) to trigger the immune defense response in . Here, we show that Hrip1 can be targeted to the extracellular space and significantly delayed the development of symptoms caused by TYLCV in tomato. In basis of RNA-seq profiling, we find that 1621 differential expression genes (DEGs) with the opposite expression patterns are enriched in plant response to biotic stress between Hrip1 treatment and TYLCV infection of tomato. Thirty-two known differential expression miRNAs with the opposite expression patterns are identified by small RNA sequencing and the target genes of these miRNAs are significantly enriched in phenylpropanoid biosynthesis, plant hormone signal transduction and peroxisome. Based on the Pearson correlation analysis, 13 negative and 21 positive correlations are observed between differential expression miRNAs and DEGs. These miRNAs, which act as a key mediator of tomato resistance to TYLCV induced by Hrip1, regulate the expression of phenylpropanoid biosynthesis and plant hormone signal transduction-related genes. Taken together, our results provide an insight into tomato resistance to TYLCV induced by PAMP at transcriptional and posttranscriptional levels. Supplementary information - The online version contains supplementary material available at 10.1007/s13205-022-03426-6.

Mots clés: Hrip1; Pathogen-associated molecular patterns (PAMPs); Tomato resistance to virus; Tomato yellow leaf curl virus (TYLCV); Transcriptional and posttranscriptional regulation

Domaines: Traitement du signal et de l'image [eess.SP]

Jade Lizé, Vincent Débordès, Hua Lu, Kidiyo Kpalma, Joseph Ronsin. Local binary pattern and its variants: application to face analysis. Advances in Smart Technologies: Applications and Case Studies - Selected Papers from the First International Conference on Smart Information and Communication Technologies, SmartICT 2019, September 26-28, 2019, Saidia, Morocco, pp.94-102, 2020, ⟨10.1007/978-3-030-53187-4_11⟩. ⟨hal-02924534⟩