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Maria Carlota Vaz Patto Lab

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At the PlantX Lab we unveil the genetic and genomic basis of plant Complex traits, such as nutritional or organoleptic quality or biotic/abiotic stress resistance, using different statistical genetic and genomic approaches.

Maria Carlota Vaz Patto
PhD 2001, Wagenigen University, The Netherlands

Phone (+351) 214469631 | Extension 1631
cpatto@itqb.unl.pt

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Research Interests

 

The Genetics and Genomics of Plant Complex Traits (PlantX) Laboratory develops research on molecular quantitative genetics applied to plant breeding. We want to identify genes controlling complex interesting traits, such as end-user quality (nutritional/health beneficial, organoleptic, processing), resistance to biotic (fungal diseases) and abiotic (drought) stresses on cereals and legumes (maize, common bean and grass pea) of national interest. This will allow us to develop control models, scientific methods and molecular tools to assist quality and resistance precision breeding programs.

We make use of different statistical genomics approaches, such as Linkage analysis, Genome-Wide Association and Genetical-Genomics, based on extensive DNA marker fingerprinting, transcriptional profiling and quantitative traits phenotyping.
Overall we are interested in exploiting the potential of national underused plant germplasm as source of interesting breeding traits and contribute indirectly to enhance its cultivation, increasing national food security and sustainability of agricultural systems.

 

Group Members

  • Carmen Santos, Post-Doc

  • Mara Alves, Post-Doc

  • Susana Leitão, Post-Doc

  • Elsa Mecha, PhD Student (Rosário Bronze as Main Supervisor)

  • Hélia Sales, PhD Student

  • Ana Margarida Sampaio, PhD Student

  • Andreia Bento da Silva, PhD Student (Rosário Bronze as Main Supervisor)

  • Letice Gonçalves, PhD Student

  • Davide Martins, PhD Student

  • Matilde Sanches, PhD Student

  • Pedro Crespo, MSc Student

  • Francisco Mendes, MSc Student


 

Selected Publications

  1. Santos C, Martins D, Rubiales D, Vaz Patto MC (2020) Partial resistance against Erysiphe pisi and E. trifolii under different genetic control in Lathyrus cicera: outcomes from a linkage mapping approach. Plant Disease (Published online) DOI: doi.org/10.1094/PDIS-03-20-0513-RE.
  2. Leitão ST, Malosetti M, Song Q, van Eeuwijk F, Rubiales D, Vaz Patto MC (2020) Natural variation in Portuguese common bean germplasm reveals new sources of resistance against Fusarium oxysporum f. sp. phaseoli and resistance-associated candidate genes. Phytopathology (Published online). DOI: 10.1094/PHYTO-06-19-0207-R.
  3. Alves ML, Bento-Silva A, Carbas B, Gaspar D, Paulo M, Brites C, Mendes-Moreira P, Brites CM, Bronze MR, Malosetti M, van Eeuwijk F, Vaz Patto MC (2020) Alleles to enhance antioxidant content in maize − a genome-wide association approach. Journal of Agricultural and Food Chemistry 68(13): 4051-4061. DOI: 10.1021/acs.jafc.9b07190.
  4. Alves ML, Carbas B, Gaspar D, Paulo M, Brites C, Mendes-Moreira P, Brites CM, Malosetti M, van Eeuwijk F, Vaz Patto MC (2019) Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour. BMC Plant Biology 19:123.
  5. Alves ML, Belo M, Carbas B, Brites C, Paulo M, Mendes-Moreira P, Brites C, Bronze MR, Šatović Z, Vaz Patto MC (2018) Long term on-farm participatory maize breeding by stratified mass selection retains molecular diversity while improving agronomic performance. Evolutionary Applications 11: 254-270.
  6. Santos C, Almeida NF, Alves ML, Horres R, Krezdorn N, Leitão ST, Aznar-Fernández T, Rotter B, Winter P, Rubiales D, Vaz Patto MC (2018) First genetic linkage map of Lathyrus cicera based on RNA sequencing-derived markers: Key tool for genetic mapping of disease resistance. Horticulture Research 5:45.


Laboratory's Website

For further information visit the laboratory's website

 

Genética e Genómica das Características Complexas de Plantas (PT)

No grupo de Genética e Genómica das Características Complexas de Plantas (PlantX) desenvolvemos investigação na àrea da genética quantitativa molecular aplicada ao melhoramento de plantas. O nosso principal interesse é a identificação dos genes que controlam características complexas relevantes como a qualidade para o consumidor (nutricional, organolética, de processamento) e a resistência a estresses bióticos (doenças causadas por fungos) e abióticos (tolerância à seca) em cereais e leguminosas de interesse nacional (milho, feijão e chícharo). Com base nesta informação, desenvolvemos modelos de controlo, métodos científicos e ferramentas moleculares para apoiar programas de melhoramento de plantas de precisão.

Utilizamos diferentes abordagens de genómica estatística como ligamento genético, Genome-Wide Association e Genetical-Genomics, baseados numa extensiva genotipagem por marcadores moleculares, análise de perfis transcriptómicos e fenotipagem de características quantitativas.

No cômputo geral, estamos interessados em explorar o potencial do germoplasma nacional como fonte de características interessantes para o melhoramento de plantas e contribuir indiretamente para aumentar o seu cultivo, a segurança alimentar e a sustentabilidade dos sistemas agrícolas nacionais.

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