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Each year, crop diseases cause devastating losses in agricultural production, threatening food security and the livelihoods of millions of farmers. In the heart of Alentejo, an innovative project is harnessing the power of genomics to help combat these invisible threats. The AlViGen Project, with the participation of InnovPlantProtect researchers Rute Rego and João Bilro, is paving the way for a new era of crop surveillance and protection.

The Problem and the Solution

“Yellow rust in wheat and olive quick decline syndrome are real scourges for farmers,” explains Rute Rego, a researcher at AlViGen. “These diseases can decimate entire harvests, leading to severe economic losses and compromising food quality.”

But AlViGen is not limited to observing the problem. The team is using cutting-edge technology to detect and identify the strains of fungi that cause these diseases, long before the symptoms become visible.

“We use traps to collect spores circulating in the air,” Rute continues. “These traps allow us to monitor the presence of fungi in real-time, which gives us an important advantage in preventing infections.”

But the magic happens in the laboratory, where the team extracts the DNA from the spores and performs advanced genomic analyses, using powerful DNA sequencing technology based on the metabarcoding method, carried out with cutting-edge technology like the portable Nanopore sequencer.

Rute Rego, a researcher at InnovPlantProtect, analyzes samples of the fungus causing olive quick decline syndrome as part of the AlViGen project.

Unraveling the Genetic Code of Fungi

To better explain what metabarcoding is and its advantage in detecting the presence of species or strains of fungi that cause diseases in crops, the researcher gives the example of a bag full of different types of grains - rice, beans, corn - being analyzed by the reader. “Metabarcoding is like placing a unique label (a ‘barcode’) on each type of grain. Then, you can mix all the grains in a single sample, and by reading the labels, you can identify the quantity of each type of grain present.'”

In the case of AlViGen, this technique allows for the analysis of multiple fungal species simultaneously (in multiple samples), each with its own genetic ‘barcode,’ and to ‘identify exactly which fungi are present, even in small quantities,'” the researcher explains.

And what is the practical impact of this method for monitoring and predicting disease? The AlViGen project researcher can identify, with high precision, the moment when the pathogenic agent begins to appear in the field, which makes it possible to alert farmers in real-time about the risk of disease. Producers can adopt preventative measures and apply the necessary products to avoid infection, contributing to a rapid and effective response in disease prevention.

The Timeline of Fungal Evolution

AlViGen's research is not limited to identifying the microorganisms harmful to crops; it also seeks to understand their evolution and diversity. João Bilro, another researcher on the project, is dedicated to studying the phylogeny of the Colletotrichum fungus, a microorganism responsible for causing olive anthracnose or blight, a disease that affects olive groves in Portugal. This disease mainly affects the olives, which compromises the quality of the olive oil.

“Phylogeny is crucial for understanding how the different strains of Colletotrichum Just as a family tree traces the history of a family, showing how members are related to each other, phylogenetic trees reveal the evolutionary relationships between the different strains of this fungus. Each branch of the tree represents an evolutionary lineage, and the nodes indicate common ancestors. By comparing the DNA sequences of these strains, we can reconstruct their evolutionary history, identifying which are genetically closer or more distant, and thus infer characteristics such as virulence or resistance to fungicides,” he reveals.

This knowledge allows researchers to identify patterns of dissemination and adaptation of the fungus, which is fundamental for developing more effective strategies to contain and/or reduce the damage this fungus causes to Portuguese olive groves.

“One of the challenges of our research is the great genetic diversity of the Colletotrichum,” admits João. “However, by uncovering their evolutionary secrets, we are paving the way for the development of more precise and targeted detection and control methods.”

Left photo: João Bilro, a bioinformatician at InnovPlantProtect, studying the phylogeny of the Colletotrichum fungus within the scope of the AlViGen project; Right photo: Rute Rego and João Bilro discuss ideas about the AlViGen project.

The Future of Agriculture Starts Here

The AlViGen Project aims to have a significant impact on the agricultural landscape, especially in Alentejo, a region with a strong agricultural tradition. By providing farmers with early detection tools and precise information about the microorganisms that cause crop diseases, the project intends to aid in decision-making, allowing farmers to protect their crops and reduce production losses.

“Our ultimate goal is to empower farmers with the knowledge and tools they need to protect their crops sustainably,” states Rute. “We believe that genomic surveillance is a key tool for the future of crop protection.”

João Bilro agrees and adds, “Continuous research is fundamental to keep up with the evolution of harmful microorganisms and to develop new, consistently effective control strategies. In the future, we hope to expand the scope of AlViGen to include other microorganisms and crops, and to make genomic surveillance an accessible tool for all farmers.”

Science at the Service of Agriculture

The AlViGen Project, supported by the Promove Program of the “la Caixa” Foundation, in partnership with Banco BPI and the Foundation for Science and Technology (FCT), is an inspiring example of how science and technology can be applied to solve real-world problems and transform agriculture. By unraveling the genetic secrets of crop microorganisms, Rute Rego and João Bilro are paving the way for a safer, more sustainable, and resilient agriculture.

The fight against crop diseases continues, but with AlViGen, farmers can finally see the enemy before it becomes visible.

Every year, crop diseases cause devastating losses in agricultural production, threatening the food security and livelihoods of millions of farmers. In the heart of the Alentejo, an innovative project is using the power of genomics to help combat these invisible threats. The AlViGen Project, with the participation of InnovPlantProtect researchers Rute Rego and João Bilro, is paving the way for a new era of crop surveillance and protection.

The Problem and the Solution

“Yellow rust on wheat and gafa in olive groves are real scourges for farmers,” explains Rute Rego, a researcher at AlViGen. “These diseases can wipe out entire harvests, leading to severe economic losses and compromising food quality.”

But AlViGen isn't just observing the problem. The team is using cutting-edge technology to detect and identify the strains of fungi that cause these diseases, long before the symptoms become visible.

“We use traps to collect spores that circulate in the air,” continues Rute. “These traps allow us to monitor the presence of fungi in real time, which gives us an important advantage in preventing infections.”

But the magic happens in the laboratory, where the team extracts DNA from the spores and carries out advanced genomic analysis using powerful DNA sequencing technology based on the metabarcoding, The Nanopore portable sequencer is a state-of-the-art technology.

Rute Rego, InnovPlantProtect researcher, analyzes samples of the fungus that causes gafa, as part of the AlViGen project.

Unlocking the genetic code of fungi

To explain more about metabarcoding and its advantage for detecting the presence of species or strains of fungi that cause diseases in crops, the researcher gives the example of a bag full of different types of grain: rice, beans, corn, which is being analyzed by the reader. “Metabarcoding is like putting a unique label (a ‘barcode’) on each type of grain. You can then mix all the grains into a single sample and, by reading the labels, you can identify the amount of each type of grain present.”

In the case of AlViGen, this technique makes it possible to analyze multiple species of fungi at the same time (in multiple samples), each with its own genetic ‘barcode’ and “identify exactly which fungi are present, even in small quantities”, explains the researcher.

And what is the practical impact of this method for monitoring and predicting the disease? The researcher of the AlViGen project is able to identify, with high precision, the moment when the pathogen begins to appear in the field, which makes it possible to alert farmers in real time to the risk of the disease. Producers can adopt preventive measures and apply the necessary products to avoid infection, contributing to a rapid and effective response to disease prevention.

The Timeline of Fungal Evolution

AlViGen's research is not limited to identifying microorganisms that damage crops; it also seeks to understand their evolution and diversity. João Bilro, another researcher on the project, is studying the phylogeny of the fungus Colletotrichum, This is a microorganism responsible for causing gafa or anthracnose, a disease that affects olive groves in Portugal. This disease mainly affects the olives, which compromises the quality of the oil.

“Phylogeny is crucial to understanding how the different strains of Colletotrichum are related and how they have evolved over time,” explains João. “Just as a family tree traces the history of a family, showing how the members are related to each other, phylogenetic trees reveal the evolutionary relationships between the different strains of this fungus. Each branch of the tree represents an evolutionary lineage, and the nodes indicate common ancestors. By comparing the DNA sequences of these strains, we can reconstruct their evolutionary history, identifying which ones are closer or more genetically distant, and thus infer characteristics such as virulence or resistance to fungicides,” he reveals.

This knowledge allows researchers to identify patterns of spread and adaptation of the fungus, which is fundamental to developing more effective strategies to contain and/or reduce the damage this fungus causes to Portuguese olive groves.

“One of the challenges of our research is the great genetic diversity of the Colletotrichum,” admits João. “However, by uncovering their evolutionary secrets, we are paving the way for the development of more precise and targeted detection and control methods.”

Photo from left: João Bilro, InnovPlantProtect bioinformatician, studying the phylogeny of the fungus Colletotrichum as part of the AlViGen project; Photo right: Rute Rego and João Bilro discuss ideas about the AlViGen project

The Future of Agriculture Starts Here

The AlViGen Project aims to have a significant impact on the agricultural landscape, especially in the Alentejo, a region with a strong agricultural tradition. By providing farmers with early detection tools and accurate information on the microorganisms that cause crop diseases, the project aims to help with decision-making, enabling farmers to protect their crops and reduce production losses.

“Our ultimate goal is to empower farmers with the knowledge and tools they need to protect their crops sustainably,” says Rute. “We believe that genomic surveillance is a key tool for the future of crop protection.”

João Bilro agrees and adds: “Continuous research is essential to monitor the evolution of harmful microorganisms and develop new control strategies that are always effective. In the future, we hope to expand the scope of AlViGen to include other microorganisms and crops, and make genomic surveillance an accessible tool for all farmers.”

Science at the Service of Agriculture

The AlViGen Project, supported by the Promove Program of the “la Caixa” Foundation, in partnership with Banco BPI and the Foundation for Science and Technology (FCT), is an inspiring example of how science and technology can be applied to solve real problems and transform agriculture. By unlocking the genetic secrets of crop microorganisms, Rute Rego and João Bilro are paving the way for safer, more sustainable and resilient agriculture.

The fight against crop diseases continues, but with AlViGen, farmers can finally see the enemy before it becomes visible.

On May 13th, the project team AI4Leafhopper presented the new application iCountPests, an innovative solution that uses Artificial Intelligence (AI) to detect and count green leafhoppers in chromotropic traps - quickly, accurately and in real time.

Developed as an intuitive mobile application, the iCountPests was designed to facilitate the monitoring of various agricultural pests. With a simple and accessible interface, it allows users to record the evolution of pests in their crops by submitting photographs of the traps installed in the field.

The application uses advanced computer vision models to automatically detect and count insects, delivering results in around a minute - a much faster and more practical process than traditional manual counting.

In its first version, the app already has a model for detecting the green leafhopper (Jacobiasca lybica), achieving an average accuracy of approximately 90%. Functionalities will soon be added to identify other relevant pests, such as curl moth (Cryptoblabes gnidiella) and grape moth (Lobesia botrana).

In addition to automatic counting, the iCountPests makes it possible to monitor the evolution of pest populations over time, making it easier to identify trends and plan more effective interventions.

This project is the result of a multidisciplinary team combining skills in ecology, entomology, artificial intelligence, computer vision, remote sensing and software development, with the aim of making pest monitoring simpler, more accurate and more accessible.

During the presentation session, it was possible to hear the opinions and suggestions of future users of the application. These contributions are essential if we are to continue to improve the tool and ensure that it responds in a practical way to the real needs of farmers and technicians in the sector. We want to develop solutions that evolve with agriculture!

Innovation is at the heart of everything we do and our motto is clear:
“Innovate together, protect better.”

If you want to know more about iCountPests, contact us by email:
📩 apps@iplantprotect.pt

Image credits: InnovPlantProtect

EVENTS

Researchers have found evidence that Huanglongbing, also known as citrus greening, This is an immune-mediated disease, which can be mitigated with antioxidants and phytohormones such as gibberellin, lifting the veil on the mechanism that causes this disease. O article on this study was recently published in Nature Communications.

Huanglongbing disease, which affects citrus fruits and ornamental plants, is caused by the bacterium Candidatus liberibacter transmitted by the citrus psyllid, a biting-sucking insect vector that also causes considerable direct damage to plants. The African psyllid (Trioza erytreae), vector of the bacterium Candidatus liberibacter africanus, is listed as a quarantine pest in Europe and its presence in Portugal has been expanding. O citrus greening is considered the most serious disease for these plant species worldwide.

The team from the Citrus Research and Education Center at the University of Florida (USA) shows that the infection of orange trees (Citrus sinensis) by the bacterium Candidatus liberibacter asiaticus induces a chronic systemic immune response in the plant's phloem, mimicking chronic systemic inflammatory diseases in humans, which leads to the death of the cells that make up the phloem tissue.

The conclusion that this is an immune-mediated phytopathology “helps guide the battle against this infamous disease”, the authors state in the article. The researchers consider it likely that horticultural approaches that suppress the oxidative stress of infected plants could mitigate the damage, including the optimal use of plant growth hormones such as gibberellin and brassinosteroids, as well as treatments with antioxidants.

Feature image © UF/IFAS Citrus Research and Education Center

Members of the Elvas CoLAB team tell the camera what brought them to the raia and the “Queen of the Border”, and what led them to accept the challenge of building the InPP.

Because I believe in a more sustainable future

Joana Castro

January 24, 2022. 3rd anniversary of the signing of the public deed setting up the InnovPlantProtect - Association collaborative laboratory. What a journey! Congratulations to the entire team, associates, members of the governing bodies and partners who have contributed and are contributing today to the birth and growth of this young CoLAB.

Because it represented a huge challenge for my return to Portugal

Cristina Azevedo

Why our lives depend on plants

iLaria Marengo

Completing the multilingual, multicultural and multidiverse team of 39 people that make up InPP today was one of the great achievements of the last year. Find out what brought us to Elvas and why we decided to stake our professional and personal lives on the challenge that is InnovPlantProtect. Watch the video on our YouTube channel.

To put into practice the knowledge I've acquired over more than 12 years abroad in the service of my country's scientific development.

Cláudia Rato da Silva

“Building a new institution is always a challenge and a risk. These three years have shown just that: the need to take risks and accept the challenge of overcoming difficulty after difficulty,” recognizes Pedro Fevereiro, executive director of “CoLAB de Elvas”. “The pillar that sustains InnovPlantProtect is people. And it is to all the people who have accepted the challenge of coming to build that the (over)experience and growth of InPP is due. It will continue to grow. Thank you for that.”

For the chance to settle in the country I chose to live in and live in a beautiful city like Elvas

Márcio Almeida

To rid crops of pests using artificial intelligence

Manisha Sirsat

The chance to do what I love

Tiago Amaro

To apply the knowledge acquired in the biopharmaceutical industry to the discovery of biopesticides

Miguel Carvalho

“AI applied to a prediction and early detection system for Phytophthora cinnamomi in dehesa ecosystems/ dehesa” is the name of the winning project of the 2020 edition of the Promove Program, which brings together InnovPlantProtect (InPP), the National Institute for Agricultural and Veterinary Research (INIAV), the Centro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX), a ACPA - Association of Alentejo Pig Breeders and the Aflosor - Agro-Forestry Association of the Ponte de Sor Region. Now you can find out more about this collaborative initiative, which has won a own page on the InPP website.

With three study areas, two in Portugal (the municipalities of Avis and Ourique) and one in Spain (Alcuescar), the overall aim is to apply monitoring and warning systems to large patches of forest, using digital robotic and artificial intelligence (AI) technologies on a large scale.

This project is funded under Promove - The Future of the Interior, a program of the la Caixa“ Foundation” launched in partnership with BPI and Foundation for Science and Technology, The aim is to support innovative initiatives in strategic areas for the development of Portugal's inland regions.