Título:	High-throughput sequencing in phytopathology: genomics-driven diagnostics and host-pathogen interactions.
Autoria:	PEREIRA, L. R. BARRO, M. P. HARAKAVA, R. ASTUA, J. de F. RAMOS-GONZÁLEZ, P. L.
Afiliação:	LAURA ROSSETTO PEREIRA, INSTITUTO BIOLÓGICO; MATHEUS POTSCLAM BARRO, INSTITUTO BIOLÓGICO, BRAZIL, UNIVERSIDADE DE SÃO PAULO, BRAZIL; RICARDO HARAKAVA, INSTITUTO BIOLÓGICO; JULIANA DE FREITAS ASTUA, CNPMF; PEDRO LUIS RAMOS-GONZÁLEZ, INSTITUTO BIOLÓGICO.
Ano de publicação:	2026
Referência:	Arquivos do Instituto Biológico, v.93, n., p., 2026.
Conteúdo:	ABSTRACT: Plant diseases severely constrain agricultural productivity, exacerbating food insecurity, economic instability, and environmental degradation. Global trade and climate change further intensify pathogen spread, emergence, and host shifts. While traditional diagnostics and targeted assays, such as polymerase chain reaction and enzyme-linked immunosorbent assay, improve specificity, they depend on prior knowledge and are limited in detecting novel or mixed infections. High-throughput sequencing (HTS) has emerged as a transformative, unbiased platform that allows comprehensive detection of known and unknown pathogens through metagenomics and transcriptomics. By generating large-scale genomic data, HTS supports pathogen discovery, epidemiological surveillance, quarantine systems, and genome-informed disease management. It underpins advanced strategies, including Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and CRISPR-associated (Cas) proteins editing and RNA interference, and accelerates the breeding of resistance. Despite challenges – such as bioinformatics standardization, cost, and data interpretation – HTS, when integrated with classical diagnostics and biological validation, represents a foundational technology for sustainable, proactive plant health management and global phytosanitary resilience.</jats:p>
Thesagro:	Doença de Planta Hospedeiro Vegetal Patógeno Epidemiologia
NAL Thesaurus:	Plant diseases and disorders Host-pathogen relationships Epidemiology
Série:	1808-1657
Digital Object Identifier:	https://doi.org/10.1590/1808-1657000032026
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPMF)