PERSPECTIVE article

Front. Microbiol., 15 May 2025

Sec. Microbe and Virus Interactions with Plants

Volume 16 - 2025 | https://doi.org/10.3389/fmicb.2025.1603010

Unleashing the potential of high-throughput sequencing for plant virus and viroid detection in Mexico

  • 1. School of Engineering and Sciences, Tecnologico de Monterrey, Santiago de Querétaro, Querétaro, Mexico

  • 2. Laboratorio de Fitopatología, Coordinación Regional Culiacán, Centro de Investigación en Alimentación y Desarrollo, Culiacán, Sinaloa, Mexico

  • 3. Posgrado en Fitosanidad – Fitopatología, Colegio de Postgraduados, Texcoco, Estado de México, Mexico

  • 4. BioCiencia S.A. de C.V., Monterrey, Nuevo León, Mexico

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Abstract

High-throughput sequencing (HTS) has revolutionized plant virology in Mexico by enhancing the detection and characterization of plant viruses and viroids. This technology has contributed to identifying previously neglected pathogens affecting key crops such as corn, beans, and tomato. The use of HTS has also revealed the presence of mixed viral infections, highlighting the complexity of plant viromes within agricultural ecosystems. Furthermore, metagenomic studies have demonstrated the role of water sources as reservoirs for plant viruses, underscoring the urgent need for improved management strategies. Despite its advantages, the widespread adoption of HTS faces challenges, including high costs, the need for bioinformatics expertise, and infrastructure limitations. Supporting collaborations between research institutions and regulatory agencies is crucial to integrating HTS into routine phytosanitary programs. Future research should aim to expand HTS applications to include epidemiological monitoring, resistance breeding, and the development of sustainable management strategies to mitigate the impact of emerging plant viruses in Mexico.

1 Introduction

The history of plant virology in Mexico is closely linked to the country’s agricultural development and the ongoing challenges posed by plant diseases. In the mid-20th century, Mexican scientists began to identify and describe viral pathogens affecting important crops such as corn/maize (Zea mays), common bean (Phaseolus vulgaris), and tomato (Solanum lycopersicum).1 These crops are not only staples in the Mexican diet but also key products for the national economy. These early efforts laid the foundation for a solid field of study, further strengthened by the establishment of several research institutions along the country and the development of diagnostic tools and management strategies by the National Service for Health, Safety and Food Quality (Servicio Nacional de Sanidad, Inocuidad y Calidad Agroalimentaria, SENASICA).

Over the last seven decades, the field of plant virology in Mexico has grown in both scope and complexity. Adopting serological and molecular techniques during the late 20th and early 21st centuries allowed for more precise identification and characterization of plant viruses (Massart et al., 2014; Rithesh et al., 2025). These tools have proven to be essential for tracking virus dynamics in plant populations, providing information on transmission patterns and geographic dispersion (Rodríguez-Negrete et al., 2019; Claverie et al., 2017). Thus, Mexican scientists have played a significant role in these developments, often collaborating with international partners to enhance the country’s capacity to manage plant viral diseases (González-Pérez et al., 2024; Alcalá-Briseño et al., 2020; Maliogka et al., 2018). Today, plant virology stands as an integral part of agricultural research in Mexico, with ongoing efforts focused on developing resistant crop varieties and protecting the country’s agricultural heritage from a continually evolving array of viral pathogens (Ortega-Piña et al., 2024; Martínez-Marrero et al., 2020).

The accurate diagnosis of plant viruses is crucial for minimizing their impact on agriculture. Viral infections can significantly reduce crop yields and quality, leading to substantial economic losses (Nizamani et al., 2023). In a diverse agricultural country like Mexico, timely identification of plant pathogens is essential not only to safeguard staple crops but also to protect economically valuable plants, such as avocado (Persea americana), agave (Agave spp.), and strawberry (Fragaria × ananassa; Diaz-Lara et al., 2021; Martínez-Marrero et al., 2020). Traditional diagnostic techniques, such as bio-indexing, enzyme-linked immunosorbent assay (ELISA) and polymerase chain reaction (PCR), have long been used in plant virology. However, these methods are limited to detecting known pathogens, for which indicator plants, antibodies and specific primers are available, leaving emerging or unidentified infections undetected (Mehetre et al., 2021).

High-throughput sequencing (HTS) has revolutionized the field of plant virology by providing unprecedented sensitivity and accuracy in detecting a wide variety of viruses and viroids (Figure 1; Saeed et al., 2023; Raza and Shahid, 2020). Unlike traditional methods such as ELISA and PCR, HTS enables the identification of both known and novel viruses without prior knowledge of the target (Rivarez et al., 2023; Kutnjak et al., 2021). Its capacity to simultaneously analyze multiple infections and provide a comprehensive overview of a plant’s health makes it an invaluable tool for studying complex and emerging viral threats (Kanapiya et al., 2024; Villamor et al., 2019; Diaz-Lara et al., 2023). For example, a study conducted in the Czech Republic demonstrated the power of HTS by analyzing grapevine (Vitis spp.) samples (Eichmeier et al., 2016). This research revealed the presence of viruses and viroids previously unreported in the country, including grapevine rupestris vein feathering virus (GRVFV) and grapevine yellow speckle viroid 1 (GYSVd1, Apscaviroid alphaflavivitis), highlighting the potential of this technology to discover hidden pathogens. Furthermore, HTS has significantly expanded our understanding of viral diversity present in agricultural ecosystems, revealing interactions between viruses, their hosts, and vectors. This approach allows for decoding virome structures in specific crops and locations, which is critical for identifying ecological factors that favor the emergence or re-emergence of viral epidemics (Lopez-Roblero et al., 2023; Ortega-Acosta et al., 2023a).

Figure 1

Despite its advantages, HTS still has challenges. The technique generates large volumes of data, requiring advanced bioinformatics expertise for analysis, which can represent a barrier for some laboratories (Villamor et al., 2019; Mutz et al., 2013). Additionally, while the cost of HTS per sample has decreased over time, the initial investment in sequencing platforms and data processing infrastructure remains relatively high, making it less accessible for routine diagnostics (Kanapiya et al., 2024; Rithesh et al., 2025). Nonetheless, the comprehensive detection capabilities of HTS make it a valuable complement to traditional methods, particularly in virus-viroid discovery and characterization (Ortega-Acosta et al., 2024a,b).

The integration of HTS into plant virology has revolutionized the understanding and management of viral diseases in economically significant crops worldwide. Its application across various agricultural systems has revealed the complexity of plant viromes and provided valuable insights that can inform the development of more effective disease management strategies (Salgado-Ortíz et al., 2020; Rodríguez-Verástegui et al., 2022). These advancements emphasize the necessity of incorporating HTS into Mexico’s phytosanitary frameworks, particularly in the face of global trade and climate change challenges.

2 High-throughput sequencing of plant viruses in Mexico

The application of sequencing technologies has significantly advanced the discovery of plant viruses in Mexico, a country with diverse agricultural landscapes and critical crops prone to viral threats. Thus, research efforts in Mexico have highlighted the power of HTS to unveil the hidden virome in agricultural and natural systems, contributing to a deeper understanding of plant viral diversity and ecology. This section explores identified viruses and viroids in Mexico via HTS (Table 1), shedding light on their discovery through cutting-edge molecular techniques and their potential implications for agricultural research and management.

Table 1

Name of viral agentAcronymSpecies nameGenusHostReference
Alfalfa mosaic virusAMVAlfamovirus AMVAlfamovirusAlfalfa (Medicago sativa)Lopez-Roblero et al. (2023)
Bean calico mosaic virusBCaMVBegomovirus phaseolicaliconisBegomovirusBrassicaceaeRodríguez-Negrete et al. (2019)
Bean common mosaic necrosis virusBCMNVPotyvirus phaseoliPotyvirusWild and domesticated beans (Phaseolus spp.)Chiquito-Almanza et al. (2021)
Bean common mosaic virusBCMVPotyvirus phaseovulgarisPotyvirusWild and domesticated beans (Phaseolus spp.)Chiquito-Almanza et al. (2021)
Bean golden yellow mosaic virusBGYMVBegomovirus birdiBegomovirusWild and domesticated beans (Phaseolus spp.)Chiquito-Almanza et al. (2021)
Bean yellow mosaic Mexico virusBYMMVBegomovirus phaseolimexicoenseBegomovirusFabaceaeRodríguez-Negrete et al. (2019)
Beet curly top virusBCTVCurtovirus betaeCurtovirusAmaranthaceaeRodríguez-Negrete et al. (2019)
Blechum interveinal chlorosis virusBleICVBegomovirus blechiBegomovirusAcanthaceaeRodríguez-Negrete et al. (2019)
Brome mosaic virusBMVBromovirus BMVBromovirusMaize (Zea mays)Lappe et al. (2022)
Cabbage leaf curl virusCabLCVBegomovirus brassicaeBegomovirusBrassicaceaeRodríguez-Negrete et al. (2019)
Chilli leaf curl virusChiLCVBegomovirus chillicapsiciBegomovirusSolanaceaeRodríguez-Negrete et al. (2019)
Cowpea mild mottle virusCPMMVCarlavirus vignaeCarlavirusWild and domesticated beans (Phaseolus spp.)Chiquito-Almanza et al. (2021)
Cucumber green mottle mosaic virusCGMMVTobamovirus viridimaculaeTobamovirusCucumber (Cucumis sativus)Lopez-Roblero et al. (2023)
Cucurbit yellow stunting disorder virusCYSDVCrinivirus cucurbitaeCrinivirusWatermelon (Citrullus lanatus)Hernández-Pérez et al. (2025)
Euphorbia mosaic virusEuMVBegomovirus euphorbiamusiviBegomovirusEuphorbiaceaeRodríguez-Negrete et al. (2019)
Euphorbia yellow mosaic virusEuYMVBegomovirus euphorbiamusiviflaviBegomovirusEuphorbiaceaeRodríguez-Negrete et al. (2019)
Galium leaf distortion virusGLDVBegomovirus galiiBegomovirusGalium sp.Guevara-Rivera et al. (2022)
Grapevine asteroid mosaic-associated virusGAMaVMarafivirus asteroidesMarafivirusGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine Cabernet Sauvignon reovirusGCSVWithout binomial nameReovirusGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine enamovirus 2GEV2Without binomial nameEnamovirusGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine fanleaf virusGFLVNepovirus foliumflabelliNepovirusGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine fleck virusGFkVMaculavirus vitisMaculavirusGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine hammerhead viroid-like RNAGHVdWithout binomial nameAvsunviroidGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine leafroll-associated virus 1GLRaV-1Ampelovirus univitisAmpelovirusGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine leafroll-associated virus 2GLRaV-2Closterovirus vitisClosterovirusGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine leafroll-associated virus 3GLRaV-3Ampelovirus trivitisAmpelovirusGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine leafroll-associated virus 4GLRaV-4Ampelovirus tetravitisAmpelovirusGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine Pinot gris virusGPGVTrichovirus pinovitisTrichovirusGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine red globe virusGRGVWithout binomial nameMaculavirusGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine rupestris stem pitting-associated virusGRSPaVFoveavirus rupestrisFoveavirusGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine rupestris vein feathering virusGRVFVWithout binomial nameMarafivirusGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine Syrah virus 1GSyV-1Marafivirus syrahenseMarafivirusGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine virus BGVBVitivirus betavitisVitivirusGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine yellow speckle viroid 1GYSVd1Apscaviroid alphaflavivitisApscaviroidGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine yellow speckle viroid 2GYSVd2Apscaviroid betaflavivitisApscaviroidGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Grapevine yellow speckle viroid 3GYSVd3Without binomial nameApscaviroidGrapevine (Vitis vinifera)Diaz-Lara et al. (2023)
Lettuce mosaic virusLMVPotyvirus lactucaePotyvirusLettuce (Lactuca sativa)Lopez-Roblero et al. (2023)
Maize chlorotic mottle virusMCMVMachlomovirus zeaeMachlomovirusMaize (Zea mays)Lappe et al. (2022)
Maize dwarf mosaic virusMDMVPotyvirus zeananusPotyvirusMaize (Zea mays)Lopez-Roblero et al. (2023)
Maize rayado fino virusMRFVMarafivirus maydisMarafivirusMaize (Zea mays)Lappe et al. (2022)
Maize yellow mosaic virusMaYMVPolerovirus MAYMVPolerovirusZea nicaraguensisLappe et al. (2022)
Maize-associated tombusvirusMaTVWithout binomial nameTombusviridaeMaize (Zea mays)Lappe et al. (2022)
Maize-associated totivirus 1MATV1Totivirus shichiTotivirusMaize (Zea mays)Lappe et al. (2022)
Maize-associated umbra-like virusMULVWithout binomial nameUmbravirusMaize (Zea mays)Lappe et al. (2022)
Malvastrum bright yellow mosaic virusMaBYMVBegomovirus malvastrumflaviBegomovirusMalvaceaeRodríguez-Negrete et al. (2019)
Mexican Opuntia viroidMOVdWithout binomial namePospiviroidOpuntia spp.Ortega-Acosta et al. (2024a,b)
North American maize-associated mastrevirusNAMaMVWithout binomial nameMastrevirusMaize (Zea mays)Lappe et al. (2022)
Okra yellow mosaic Mexico virusOYMMVBegomovirus abelsmoschusmexicoenseBegomovirusMalvaceaeRodríguez-Negrete et al. (2019)
Opuntia viroid 1OVd-1Without binomial nameApscaviroidOpuntia spp.Ortega-Acosta et al. (2024a,b)
Opuntia viroid 2OVd-2Without binomial nameApscaviroidOpuntia spp.Ortega-Acosta et al. (2024a,b)
Paprika mild mottle virusPaMMVTobamovirus paprikaeTobamovirusPepper (Capsicum spp.)Lopez-Roblero et al. (2023)
Pepper golden mosaic virusPepGMVBegomovirus capsicummusiviBegomovirusSolanaceaeRodríguez-Negrete et al. (2019)
Pepper huasteco yellow vein virusPHYVVBegomovirus capsicumhuastecoenseBegomovirusTomato (Solanum lycopersicum)González-Pérez et al. (2024)
Pepper leafroll virusPepLRVBegomovirus capsicumcontorsiorisBegomovirusSolanaceaeRodríguez-Negrete et al. (2019)
Pepper mild mottle virusPMMoVTobamovirus capsiciTobamovirusPepper (Capsicum spp.)Lopez-Roblero et al. (2023)
Phaseolus vulgaris alphaendornavirus 1PvAEV-1Alphaendornavirus phaseoliAlphaendornavirusCommon bean (Phaseolus vulgaris)Chiquito-Almanza et al. (2021)
Phaseolus vulgaris alphaendornavirus 2PvAEV-2Alphaendornavirus fuphaseoliAlphaendornavirusCommon bean (Phaseolus vulgaris)Chiquito-Almanza et al. (2021)
Potato yellow mosaic virusPYMVBegomovirus tuberosiBegomovirusSolanaceaeRodríguez-Negrete et al. (2019)
Rattail cactus necrosis-associated virusRCNaVTobamovirus muricaudaeTobamovirusCactaceaeLopez-Roblero et al. (2023)
Rhynchosia golden mosaic Sinaloa virusRhGMSVBegomovirus rhynchosiasinaloaenseBegomovirusFabaceaeRodríguez-Negrete et al. (2019)
Rhynchosia golden mosaic virusRhGMVBegomovirus rhynchosiaureiBegomovirusFabaceaeRodríguez-Negrete et al. (2019)
Sida golden yellow vein virusSiGYVVBegomovirus sidaureivenaeBegomovirusMalvaceaeRodríguez-Negrete et al. (2019)
Sida mosaic Sinaloa virusSiMSiVBegomovirus sidasinaloaenseBegomovirusSolanaceaeRodríguez-Negrete et al. (2019)
Solanum mosaic Bolivia virusSoMBoVBegomovirus solanumbolivienseBegomovirusSolanaceaeRodríguez-Negrete et al. (2019)
Squash leaf curl virusSLCVBegomovirus cucurbitapeponisBegomovirusCucurbitaceaeRodríguez-Negrete et al. (2019)
Sweet potato leaf curl virusSPLCVBegomovirus ipomoeaeBegomovirusConvolvulaceaeRodríguez-Negrete et al. (2019)
Teosinte-associated betaflexivirusTaBVWithout binomial nameBetaflexivirusTeosinte (Zea spp.)Lappe et al. (2022)
Tobacco etch virusTEVPotyvirus nicotianainsculpentisPotyvirusSenna multiglandulosaOrtega-Acosta et al. (2023b)
Tobacco mild green mosaic virusTMGMVTobamovirus mititessellatiTobamovirusSolanaceaeLopez-Roblero et al. (2023)
Tobacco mosaic virusTMVTobamovirus tabaciTobamovirusTobacco (Nicotiana tabacum)Lopez-Roblero et al. (2023)
Tobacco ringspot virusTRSVNepovirus nicotianaeNepovirusBlackberry (Rubus spp.)Diaz-Lara et al. (2020)
Tomato brown rugose fruit virusToBRFVTobamovirus fructirugosumTobamovirusTomato (Solanum lycopersicum)Lopez-Roblero et al. (2023)
Tomato chino La Paz virusToChLPVBegomovirus solanumlapazenseBegomovirusSolanaceaeRodríguez-Negrete et al. (2019)
Tomato chlorosis virusToCVCrinivirus tomatichlorosisCrinivirusTomato (Solanum lycopersicum)González-Pérez et al. (2024)
Tomato golden mosaic virusToGMoVBegomovirus solanumaureimusiviBegomovirusTomato (Solanum lycopersicum)González-Pérez et al. (2024)
Tomato mosaic virusToMVTobamovirus tomatotessellatiTobamovirusTomato (Solanum lycopersicum)Lopez-Roblero et al. (2023)
Tomato pseudo-curly top virusTPCTVTopocuvirus solaniTopocuvirusSolanaceaeRodríguez-Negrete et al. (2019)
Tomato severe leaf curl virusToSLCVBegomovirus solanumseveriBegomovirusSolanaceaeRodríguez-Negrete et al. (2019)
Tomato spotted wilt virusTSWVOrthotospovirus tomatomaculaeOrthotospovirusTomato (Solanum lycopersicum)González-Pérez et al. (2024)
Tomato yellow leaf curl virusTYLCVBegomovirus coheniBegomovirusTomato (Solanum lycopersicum)González-Pérez et al. (2024)
Tomato yellow spot virusToYSVBegomovirus solanumflavusmaculaeBegomovirusSolanaceaeRodríguez-Negrete et al. (2019)
Tropical soda apple mosaic virusTSAMVTobamovirus tropiciTobamovirusTomato (Solanum lycopersicum)Lopez-Roblero et al. (2023)
Tuberose mild mosaic virusTuMMVPotyvirus polianthisPotyvirusAgave attenuata, Agave amicaDe la Torre-Almaraz et al. (2023)
Vigna yellow mosaic virusViYMVBegomovirus vignaeBegomovirusFabaceaeRodríguez-Negrete et al. (2019)
Watermelon chlorotic stunt virusWmCSVBegomovirus citrulliBegomovirusWatermelon (Citrullus lanatus)Hernández-Pérez et al. (2025)
Watermelon mosaic virusWMVPotyvirus citrulliPotyvirusWatermelon (Citrullus lanatus)Lopez-Roblero et al. (2023)

Plant viruses and viroids identified in Mexico via high-throughput sequencing (HTS).

In maize and its wild relative teosinte/teocintle (Zea spp.), the application of HTS enabled the discovery of four novel viruses in North America, including the first Mastrevirus identified in this region (Lappe et al., 2022). Additionally, this study revealed the presence of new viral species of Betaflexviridae, Tombusviridae and Geminiviridae families. In the case of beans, an essential crop for food security in Mexico, HTS has detected the presence of multiple viruses, including Phaseolus vulgaris alphaendornavirus 1 (PvAEV1, Alphaendornavirus phaseoli) and common bean severe mosaic virus (CBSMV, Begomovirus vulgaris; Chiquito-Almanza et al., 2021). The detection of these viruses in domesticated and wild plants has allowed a better understanding of the evolution of infectious agents in these plants and its potential impact on agricultural productivity.

A successful case in which HTS allowed the identification of viruses in Mexico was in agave (De la Torre-Almaraz et al., 2023). The detection of tuberose mild mosaic virus (TMMV, Potyvirus polianthis) in A. attenuata and A. amica using this technology represented a relevant finding since these plants had not been previously reported as hosts of this potyvirus. This discovery emphasizes the need to continue monitoring the viromes of perennial crops to prevent the spread of emerging pathogens. Agave is used to produce tequila, one of the main products exported by Mexico.

In the case of grapevine, HTS has allowed the characterization of many viruses that affect this plant in Mexico (Diaz-Lara et al., 2023). Viruses such as grapevine leafroll-associated virus 4 (GLRaV-4, Ampelovirus tetravitis), grapevine Pinot gris virus (GPGV, Trichovirus pinovitis) and grapevine Syrah virus 1 (GSyV-1, Marafivirus syrahense) have been identified. These findings contribute valuable information that could support improvements in sanitary certification programs, although their implementation in official management practices has yet to be documented in Mexico.

Another relevant case is that of the prickly pear (Opuntia spp.), a crop of great nutritional and ecological importance in Mexico. Through HTS, Ortega-Acosta et al. (2024a,b) managed to identify the viroids Opuntia cactus viroid 1 (OCVd-1), Opuntia viroid 2 (OVd-2), as well as a novel virus in this plant. This study represents a fundamental starting point for monitoring and preventing viral diseases in the prickly pear, ensuring its sustainable production and reducing possible economic losses.

Tomato is a crop of significant economic importance in the country and have also been subject of extensive analysis. Emerging variants of pepino mosaic virus (PepMV, Potexvirus pepini) have been identified (Miranda-Campaña et al., 2024), and the genetic diversity of tomato brown rugose fruit virus (ToBRFV, Tobamovirus fructirugosum), a virus that has caused severe losses in tomato production in Mexico and other countries, has been investigated (Cambrón-Crisantos et al., 2018). Understanding the genetic variability of these viruses is useful toward improved detection assay design.

In bell pepper (Capsicum annuum), mixed infections caused by Impatiens necrotic spot virus (INSV, Orthotospovirus impatiensnecromaculae) and ToBRFV has been determined by HTS (De Mora-Ugalde et al., 2024). Similarly, mixed infections induced by cucurbit yellow stunting disorder virus (CYSDV, Crinivirus cucurbitae) and watermelon chlorotic stunt virus (WmCSV, Begomovirus citrulli) were detected in watermelon (Citrullus lanatus) in Jalisco, Mexico (Hernández-Pérez et al., 2025). These co-infections underline the complexities of viral epidemiology in intensive production systems and emphasize the necessity for management strategies that incorporate advanced molecular diagnosis, including multiplex assays.

In papaya, a crop of significant economic importance in southern Mexico, HTS and network analysis revealed a highly diverse virome composed of both known and novel viruses (Alcalá-Briseño et al., 2020). The study identified 61 viral agents, across papaya plants, weeds, and insect vectors in two agroecological regions of Chiapas. The presence of viruses in asymptomatic papayas and surrounding weeds emphasized the complexity of virus-host interactions. Likewise, Rodríguez-Negrete et al. (2019) identified multiple species of begomoviruses in wild plants in the Northern Pacific of Mexico, which shows that these weeds can act as natural reservoirs of pathogens that can potentially migrate to commercial crops.

In addition to food crops, HTS has been used to identify viruses in species with pharmacological potential. An example is the case of Galphimia spp., where the sequencing technology detected the Galphimia cryptic virus (GCV) for the first time (Iglesias et al., 2024). This work demonstrates that HTS is not only useful in agricultural plants, but also in species of medicinal interest for Mexico.

Meta-analysis of water using HTS has shown its role as a source of virus dissemination in agricultural systems. A study by Lopez-Roblero et al. (2023) detected a high diversity of viruses in tropical water bodies used for agricultural irrigation. Among the viruses detected are lettuce chlorosis virus (LCV, Orthotospovirus impatiensnecromaculae), papaya ringspot virus (PRSV, Potyvirus papayanuli), and tomato yellow leaf curl virus (TYLCV, Begomovirus coheni), all of them pathogens of great agricultural importance (Alabi et al., 2017). The presence of these viruses in water sources reinforces the notion that aquatic systems can function as routes of virus dispersion, representing a latent risk for the spread of diseases in crops.

3 Challenges in diagnosing plant viruses by high-throughput sequencing in Mexico

The use of HTS has facilitated the detection and identification of viruses in plants, enabling researchers to characterize new viral species and analyze complex interactions. However, its implementation faces various technical, economic, and methodological challenges that limit its large-scale application in developing countries like Mexico.

One main obstacle is limited infrastructure access and adequate equipment for generating and analyzing HTS data. Unlike other more traditional diagnostic approaches, HTS requires advanced technology, such as high-throughput sequencers (e.g., Illumina, Oxford Nanopore or PacBio) and high-performance computing platforms for data processing, like computer clusters (servers; Mehetre et al., 2021; Satam et al., 2023). This represents a barrier for many laboratories in Mexico, especially in institutions with limited funding or regions with little technological infrastructure.

Bioinformatics analysis is another of the main challenges in HTS research since the massive volume of data generated requires advanced algorithms built upon programming (i.e., bioinformatic pipeline) and personnel trained in bioinformatics and computational biology (Wu et al., 2015; Valenzuela et al., 2022). Researchers often face difficulties in the selection and application of appropriate bioinformatics tools for the assembly of viral genomes, the removal of contaminating data, and the interpretation of newly emerged sequences (Rodríguez-Negrete et al., 2019; Maina et al., 2024). Furthermore, the lack of updated and/or validated data in public databases like GenBank for sequence comparison complicates accurately identifying emerging or poorly characterized viruses and viroids (Rivarez et al., 2023; Ning et al., 2024).

Another major obstacle is the biological interpretation of the results obtained through HTS. Although this technology allows the detection of a wide diversity of viruses and viroids in environmental or plant samples, the presence of viral sequences does not always imply active infection or relevant phytopathological impact (Elena et al., 2014; Picard et al., 2017). This can generate confusion in decision-making for phytosanitary management and underlines the need to complement HTS with additional biological and experimental studies, for example, virus transmission (Diaz-Lara et al., 2023; Ortega-Acosta et al., 2024a,b).

Finally, the high costs associated with HTS remain a major limitation to its widespread adoption. Although sequencing costs have decreased over the past decade, sample processing and library preparation, data storage and analysis, and the validation of results using conventional-traditional methods can represent significant expenses for researchers (Nizamani et al., 2023; Kanapiya et al., 2024). This highlights the need for sustainable funding strategies and international collaborations to strengthen virological research in Mexico.

4 Future perspectives on the use of HTS for virus diagnosis in Mexico

The use of HTS for virus and viroid detection in plants in Mexico represents an innovative tool with great potential to improve plant health. This technology can simultaneously detect a wide range of plant viruses, including those present in low concentrations or without obvious symptoms, makes it a key strategy for epidemiological monitoring and the management of viral diseases in crops (Al Rwahnih et al., 2015; Rott et al., 2017; Maree et al., 2018). Currently, virus diagnosis in Mexico is relying primarily on traditional methods such as PCR and ELISA. While these methods are specific and accessible, they require prior knowledge of the virus to be detected (Roossinck et al., 2015). In contrast, HTS allows the identification of known and unknown viruses without the need for previously published information, making it an indispensable technique for monitoring emerging viruses and detecting new viral variants (Villamor et al., 2019). Consequently, in Mexico, where plant viral diseases significantly threaten agricultural productivity, the implementation of HTS has the potential to transform virus diagnosis and management strategies.

Looking to the future, Mexico will face multiple issues related to plant virology. The increasing incidence of emerging viruses, particularly tospoviruses and begomoviruses, transmitted by thrips and whiteflies, respectively; these types of pathogens have increased their impact on the country’s horticultural production and severely affect staple and economically important crops such as tomatoes, peppers, and beans (Rodríguez-Negrete et al., 2019). Traditional diagnostic methods used in Mexico, including serological assays and PCR-based techniques, often fail to detect mixed infections or new viral variants, limiting the effectiveness of disease management strategies. The application of HTS will allow for a more comprehensive analysis of viral populations, allowing the detection of complex viral co-infections that influence disease epidemiology.

While sample processing, library preparation, data generation and storage, and result validation may represent significant expenses for Mexican researchers, several alternatives can help reduce costs. These include the use of low-cost library prep kits, shared access to sequencing services through academic consortia or private providers, cloud services for data storage, and free web-based platforms for bioinformatic analysis (e.g., VirFind and Viroscope). Lastly, targeted PCR validation of HTS-detected sequences offers a cost-effective method to confirm key findings.

To fully integrate HTS into plant health programs in Mexico, regulatory agencies such as SENASICA and State Plant Health Committees must adopt standardized-validated protocols for sample preparation, sequencing and later data interpretation. Currently, SENASICA oversees phytosanitary measures to control the spread of plant pathogens, and a greater reliance on HTS would improve early detection and rapid response capabilities, especially at points of entry into the country. Furthermore, collaborations between research institutions, public and private, and regulatory agencies could facilitate the development of national reference databases for plant viruses and viroids, improving diagnostic accuracy and epidemiological monitoring.

5 Conclusion

The application of HTS in plant virology in Mexico has driven significant advances in the detection and management of viruses and viroids affecting key agricultural crops. This approach enables the identification of mixed infections, new viral species, and a deeper understanding of viral diversity in agroecosystems. Its impact on plant health is unquestionable, offering more sensitive and efficient diagnoses than traditional techniques.

The increased use of HTS in Mexican agricultural systems is improving the characterization of emerging viruses and viroids, understanding their symptoms, and faster outbreak responses. Collaboration between institutions and regulatory bodies remains essential to harmonize diagnostic protocols and ensure reliable results. Incorporating HTS as a routine tool in regulatory bodies such as SENASICA would strengthen national viral disease monitoring systems in strategic crops. Thus, the integration of HTS into national plant health programs, such as certification schemes, would improve epidemiological responses, particularly through collaboration between research centers, government agencies, and industry.

Finally, while the adoption of HTS in Mexico offers multiple benefits, it faces barriers such as cost, limited equipment accessibility, and insufficient frameworks for data sharing. Overcoming these obstacles will require investment in infrastructure, personnel training, and policy development to incorporate genomics into standard diagnostics. Importantly, these challenges are not unique to Mexico, similar conditions likely exist in other developing countries, where scarce resources and knowledge can hinder HTS implementation, despite comparable plant health surveillance needs. However, exploring HTS applications opens promising avenues for identifying resistance genes, establishing resilient crops, and reducing the impact of viral diseases, thus boosting sustainable agriculture. While the task is complex, we are moving in the right direction.

Statements

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

CP-D: Conceptualization, Writing – original draft, Writing – review & editing. JMT-P: Conceptualization, Writing – original draft, Writing – review & editing. DLO-M: Conceptualization, Writing – original draft, Writing – review & editing. RG-G: Conceptualization, Writing – original draft, Writing – review & editing. AD-L: Conceptualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. CP-D was supported by the Secretariat of Science, Humanities, Technology (SECIHTI) from Mexico.

Acknowledgments

Thanks to Mexican growers and industry for long-standing collaborations.

Conflict of interest

RG-G was employed by company BioCiencia S.A. de C.V.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that Gen AI was used in the creation of this manuscript. During the preparation of this manuscript, the authors used grammarly to assist with language refinement. Later, the authors thoroughly reviewed and edited the content and took full responsibility for the final version of the publication.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Summary

Keywords

high-throughput sequencing, plant virology, metagenomics, plant disease, diagnostics, viroid, virus

Citation

Pacheco-Dorantes C, Tovar-Pedraza JM, Ochoa-Martínez DL, González-Garza R and Diaz-Lara A (2025) Unleashing the potential of high-throughput sequencing for plant virus and viroid detection in Mexico. Front. Microbiol. 16:1603010. doi: 10.3389/fmicb.2025.1603010

Received

30 March 2025

Accepted

02 May 2025

Published

15 May 2025

Volume

16 - 2025

Edited by

Alina S. Puig, United States Department of Agriculture, United States

Reviewed by

Eduardo Rodríguez-Román, Instituto Venezolano de Investigaciones Científicas, Venezuela

Manjula Elmore, Iowa State University, United States

Bipasha Bhattacharjee, Academy of Sciences of the Czech Republic, Czechia

Updates

Copyright

*Correspondence: Alfredo Diaz-Lara,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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