Michael Pisias

ORCID: 0000-0003-0538-9919
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About
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Research Areas
  • Genetics, Bioinformatics, and Biomedical Research
  • Genomics and Phylogenetic Studies
  • Plant Pathogens and Resistance
  • CRISPR and Genetic Engineering
  • Plant tissue culture and regeneration
  • Plant Ecology and Taxonomy Studies
  • Plant Genetic and Mutation Studies
  • Genetic diversity and population structure
  • Genetically Modified Organisms Research
  • Plant Diversity and Evolution
  • GABA and Rice Research
  • Agricultural pest management studies

University of Missouri
2021-2023

Societal Impact Statement Given the rapidly increasing drought and temperature stresses associated with climate change, innovative approaches for food security are imperative. One understudied opportunity is using feral crops—plants that have escaped persisted without cultivation—as a source of genetic diversity, which could build resilience in domesticated conspecifics. In some cases, however, plants vigorously compete crops as weeds, challenging security. By bridging historically siloed...

10.1002/ppp3.10367 article EN cc-by Plants People Planet 2023-03-09

Abstract Model species continue to underpin groundbreaking plant science research. At the same time, phylogenetic resolution of land tree life continues improve. The intersection these 2 research paths creates a unique opportunity further extend usefulness model across larger taxonomic groups. Here we promote utility Arabidopsis thaliana species, especially ability connect its genetic and functional resources, entire Brassicales order. We focus on using genomics phylogenomics bridge...

10.1093/plcell/koad260 article EN cc-by-nc-nd The Plant Cell 2023-10-12

Earth and Space Science Open Archive Presented WorkOpen AccessYou are viewing the latest version by default [v2]Bioinformatics in Plant Sciences: A model for training next generation of data-enabled/fluent scientistsAuthorsShawnThomasiDMichaelPisiasDavidMendoza CozatlSee all authors Shawn ThomasiDCorresponding Author• Submitting AuthorDivision Biological Sciences, University Missouri, Columbia, MO 65211iDhttps://orcid.org/0000-0002-6198-8847view email addressThe was not providedcopy...

10.1002/essoar.10508517.2 preprint EN cc-by 2022-02-08

Earth and Space Science Open Archive Presented WorkOpen AccessYou are viewing the latest version by default [v1]Bioinformatics in Plant Sciences: A model for training next generation of data-enabled/fluent scientistsAuthorsShawnThomasiDMichaelPisiasDavidMendoza CozatlSee all authors Shawn ThomasiDCorresponding Author• Submitting AuthorDivision Biological Sciences, University Missouri, Columbia, MO 65211iDhttps://orcid.org/0000-0002-6198-8847view email addressThe was not providedcopy...

10.1002/essoar.10508323.1 preprint EN cc-by 2021-11-19

Earth and Space Science Open Archive Presented WorkOpen AccessYou are viewing an older version [v1]Go to new versionBioinformatics in Plant Sciences: A model for training the next generation of data-enabled/fluent scientistsAuthorsShawnThomasiDMichaelPisiasDavidMendoza CozatlSee all authors Shawn ThomasiDCorresponding Author• Submitting AuthorDivision Biological Sciences, University Missouri, Columbia, MO 65211iDhttps://orcid.org/0000-0002-6198-8847view email addressThe was not providedcopy...

10.1002/essoar.10508517.1 preprint EN cc-by 2021-10-28
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