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CartograPlant: Bridging genomic, phenotypic, and environmental data to advance plant resilience and eco-evolutionary insight

CartograPlant: Bridging genomic, phenotypic, and environmental data to advance plant resilience and eco-evolutionary insight

This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint.

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Authors

Brandon M Lind , Irene Cobo-Simón, Meghan Myles, Gabe Barrett, Emily Grau, Risharde Ramnath, Vlad Savitsky, Jill Wegrzyn

Abstract

Climate change is threatening plant health and productivity at all spatial scales, and these impacts are further compounded by the rising incidence of invasive pests and pathogens. Effectively addressing these challenges requires a comprehensive understanding of plant demography as well as the mechanisms and drivers of adaptation. Achieving this understanding requires the integration of physiological, ecological, and genetic datasets. However, such integration is often hindered by disconnected data sources, inconsistent metadata standards, and limited tools to link, analyze, and visualize multi-dimensional datasets in a unified framework. Addressing these hurdles is critical to advancing the understanding of species responses to environmental change and developing informed strategies for conservation, restoration, and adaptive management.

DOI

https://doi.org/10.32942/X2Q06D

Subjects

Agriculture, Biodiversity, Bioinformatics, Ecology and Evolutionary Biology, Genetics and Genomics, Integrative Biology, Life Sciences, Plant Biology, Plant Breeding and Genetics Life Sciences, Plant Pathology, Systems Biology

Keywords

data integration, data interoperability, meta-analysis, biodiversity informatics, plant adaptation, GWAS, GEA, FAIR

Dates

Published: 2025-09-30 10:30

Last Updated: 2025-09-30 10:39

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License

CC-By Attribution-ShareAlike 4.0 International

Additional Metadata

Language:
English

Data and Code Availability Statement:
All data used in this study are publicly available through the CartograPlant online database (https://cartograplant.org/). Specific datasets referenced in this publication can be accessed by navigating to the relevant study pages within CartograPlant. Additional information about CartograPlant is available at https://cartograplant-tpps.readthedocs.io/en/latest/.