Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation
Year: 2023
Type: article
Abstract: Long-term field monitoring of leaf pigment content is informative for understanding plant responses to environments distinct from regulated chambers but is impractical by conventional destructive measurements. We developed PlantServation, a method incorporating robust image-acquisition hardware and deep learning-based software that extracts leaf color by detecting plant individuals automatically. As a case study, we applied PlantServation to examine environmental and genotypic effects on the pigment anthocyanin content estimated from leaf color. We processed >4 million images of small individuals of four Arabidopsis species in the field, where the plant shape, color, and background vary over months. Past radiation, coldness, and precipitation significantly affected the anthocyanin content. The synthetic allopolyploid A. kamchatica recapitulated the fluctuations of natural polyploids by integrating diploid responses. The data support a long-standing hypothesis stating that allopolyploids can inherit and combine the traits of progenitors. PlantServation facilitates the study of plant responses to complex environments termed "in natura".
Source: Nature Communications
Institutions: University of Zurich, Kihara Institute for Biological Research, Nara Institute of Science and Technology, Yokohama City University, Center for Ecological Research, Kyoto University, The University of Tokyo, National Agriculture and Food Research Organization, Research Center for Agricultural Information Technology, Kanazawa University, Functional Genomics Center Zurich, University of Tsukuba, Mountain Science Center, University of Tsukuba, Tokyo Institute of Technology, Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $6,290
Funders: National Science Foundation, Ministry of Education, Culture, Sports, Science and Technology, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Kyoto University, Universität Zürich, Japan Society for the Promotion of Science, Japan Science and Technology Agency, Center for Ecological Research, Kyoto University, Core Research for Evolutional Science and Technology
Awards: G1156725846, Evolutionary functional genomics of selfing and polyploid speciation, G2138815633, G2236526893, G2675133010, Evolutionary functional genomics of plant sexual reproduction and polyploid species, 倍数体マルチオミクス技術開発による環境頑健性付与モデルの構築, G3120318915, G3337983753, G3575591601, Key-Molecule-Network in Plant Reproduction, Out of Asia: Linguistic Diversity and Population History, G428113842, G4529313150, G4529766373, G5140993555, パンコムギの品種間シス制御の違いを利用した新規対立遺伝子の単離, G570906089, The roles and mechanisms of chromatin memory in the robust responses under flactuating environments, G6232065521, Does environment shape the epigenetic pattern of a newly synthesized Arabidopsis polyploid?, G6662375297, フィールド・エピジェネティクス:環境変動下での頑健性の基盤, Studies on leaf morphogenetic diversity and responses to the temperature, G7736374843, G8539982328, G8690818240, Elucidation of stomatal trait diversity in wild wheats and its application to bread wheat
OpenAlex ID: W4386945192