Dr. Mansueto studies the genetic aspects of various plants, with a strong emphasis on cannabis and rice. She has developed several databases and analysis tools that allow researchers to access, organize, and analyze genetic information more easily. For cannabis, her research involves understanding genetic variations that impact the plant's use for food, medicine, and industrial applications. In terms of rice, she focuses on identifying genes that improve crop quality, resilience against climate change, and tolerance to drought, helping to ensure food availability for growing populations.
Key findings
Created the HASCH tool, which identifies an average of 251 genetic differences in medicinal cannabis and 272 in industrial hemp, enhancing breeding efficiency.
Developed the CannSeek database, filling a gap in cannabis research by cataloging genetic variations, thus supporting advancements in plant traits.
Identified 175 candidate genes for drought tolerance in rice, which may lead to better yields in dry conditions, crucial for food security.
Frequently asked questions
Does Dr. Mansueto study cannabis genetics?
Yes, she develops tools and platforms that advance research in cannabis genetics and helps identify genetic traits useful for various applications.
What treatments has Dr. Mansueto researched?
Her research primarily focuses on genetic traits in cannabis that can impact its effectiveness as a treatment, while also working on crop improvement methods that benefit rice and wheat.
Is Dr. Mansueto's work relevant to patients using medicinal cannabis?
Yes, her research on cannabis genetics aids in understanding which traits can enhance its medicinal properties, potentially leading to better treatment options.
Publications in plain English
HASCH - A high-throughput amplicon-based SNP-platform for medicinal cannabis and industrial hemp genotyping applications.
2024
BMC genomics
Mansueto L, Tandayu E, Mieog J, Garcia-de Heer L, Das R +3 more
Plain English This research developed a new and efficient tool called HASCH for identifying genetic differences in cannabis plants used for medicinal and industrial purposes. The platform can analyze 1,504 specific parts of the cannabis genome with high accuracy, finding an average of 251 differences in genetic markers for medicinal cannabis and 272 for industrial hemp. This tool matters because it helps breeders create better cannabis plants more quickly and economically, supporting advancements in both the medicinal and industrial hemp sectors.
Who this helps: Patients, farmers, and researchers in the cannabis industry.
CannSeek? Yes we Can! An open-source single nucleotide polymorphism database and analysis portal for.
2024
GigaByte (Hong Kong, China)
Mansueto L, McNally KL, Kretzschmar T, Mauleon R
Plain English This research developed a tool called CannSeek, which provides an easy way to access and analyze genetic information about cannabis plants. The tool allows users to identify genetic variations and traits across different cannabis types, using data from public sources. This is important because it fills a gap in cannabis research, helping scientists understand which genetic traits might make the plant more useful for food, medicine, or other applications.
Who this helps: This benefits researchers and scientists studying cannabis genetics.
Building a community-driven bioinformatics platform to facilitatemulti-omics research.
2024
GigaByte (Hong Kong, China)
Mansueto L, Kretzschmar T, Mauleon R, King GJ
Plain English This study focused on creating an online tool to help researchers better understand cannabis by organizing and sharing a variety of genetic data. The platform includes different types of information, like gene sequences and protein profiles, and allows researchers to perform complex analyses more easily. This is important because it enhances collaboration in cannabis research, which is growing due to new laws and increased interest in its uses.
Who this helps: This helps researchers in cannabis genetics and genomics.
Progress in single-access information systems for wheat and rice crop improvement.
2019
Briefings in bioinformatics
Scheben A, Chan CK, Mansueto L, Mauleon R, Larmande P +5 more
Plain English Researchers are working on ways to improve wheat and rice yields to keep up with the increasing global population, which is facing challenges due to climate change. They found that creating a single-access system to gather and organize large amounts of data about these crops can help speed up the breeding process. This effort could lead to better crop varieties that are necessary for feeding more people in the future.
Who this helps: This benefits farmers and food producers, as well as consumers relying on these staple crops.
Juanillas V, Dereeper A, Beaume N, Droc G, Dizon J +16 more
Plain English The study focuses on "Rice Galaxy," a new online tool designed to help researchers analyze genetic information from rice plants. It provides access to vast datasets, including high-density genetic data from 3,000 different rice genomes and sequences from nine published rice genomes. This resource allows researchers to more easily investigate traits in rice, which is important for improving crop quality and resilience.
Who this helps: This benefits plant scientists and researchers working on rice breeding and genetics.
Genomic variation in 3,010 diverse accessions of Asian cultivated rice.
2018
Nature
Wang W, Mauleon R, Hu Z, Chebotarov D, Tai S +67 more
Plain English This study examined the genetic differences in 3,010 different types of Asian cultivated rice. Researchers found 29 million tiny genetic changes and over 90,000 structural variations that show how diverse these rice plants are and how they relate to their geographical origins. This information is important because it helps scientists understand rice genetics better, which can lead to improved rice breeding for better yields and resistance to diseases.
Who this helps: This benefits farmers and scientists working to improve rice crops.
Rice SNP-seek database update: new SNPs, indels, and queries.
2017
Nucleic acids research
Mansueto L, Fuentes RR, Borja FN, Detras J, Abriol-Santos JM +12 more
Plain English This study updates the Rice SNP-Seek Database, which collects genetic information about rice varieties. The researchers have added new data and features, including better tools for searching genetic variations, which makes it easier to analyze how different rice genes are associated with traits. This update is critical for improving rice breeding and research efficiency, helping scientists identify important traits faster.
Who this helps: This benefits researchers and breeders working on rice agriculture.
SNP-Seek database of SNPs derived from 3000 rice genomes.
2015
Nucleic acids research
Alexandrov N, Tai S, Wang W, Mansueto L, Palis K +8 more
Plain English This study focused on creating a database of genetic variations, called SNPs, from 3,000 different types of rice. Researchers identified around 20 million SNPs, which are like small differences in the rice DNA, and organized them in a system that holds about 60 billion entries. This resource allows easy access to information about genetic traits and characteristics of rice varieties, which is important for breeding and improving rice crops.
Who this helps: Farmers and agricultural scientists working to enhance rice production and quality.
Characterization of growth and metabolism of the haloalkaliphile Natronomonas pharaonis.
2010
PLoS computational biology
Gonzalez O, Oberwinkler T, Mansueto L, Pfeiffer F, Mendoza E +2 more
Plain English This study looked at a microorganism called Natronomonas pharaonis, which thrives in salty and alkaline conditions. Researchers created a detailed map of its metabolism and found that when it grows using acetate, it maintains an efficient balance between carbon and oxygen consumption, which is ideal for energy production. However, it has a low carbon efficiency of about 35%, likely due to the challenges of its harsh environment.
Who this helps: This helps scientists studying extremophiles and may inform research on similar organisms.
Identification of candidate genes for drought stress tolerance in rice by the integration of a genetic (QTL) map with the rice genome physical map.
2005
Journal of Zhejiang University. Science. B
Wang XS, Zhu J, Mansueto L, Bruskiewich R
Plain English The study focused on finding genes in rice that help the plants survive drought conditions. Researchers analyzed genetic information from two rice varieties and identified 175 genes in a specific area of the rice genome, with 16 of these genes likely playing a role in helping the plant cope with drought. This discovery is important because improving drought tolerance can lead to better rice yields, ensuring food supply in areas affected by dry conditions.
Who this helps: This benefits rice farmers and food security efforts.
Ramil Mauleon Nickolai Alexandrov Tobias Kretzschmar Kenneth L McNally John Robert Mendoza Pierre Larmande Rod A Wing Dmytro Chebotarov Roven Rommel Fuentes Ruaraidh Sackville Hamilton
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Plain-English summaries generated by AI.
Not medical advice.