第996回生物科学セミナー
Statistical modeling of root architecture
新谷考央 博士（Leipniz-Institut fur Pflanzengenetik und Kulturpflanzenforschung, Gatersleben, Germany）
2014年08月29日(金) 16:40～18:00 理学部2号館 講堂
The plant root function is affected by the entire root system architecture (RSA). The number and length of the individual component of the root system can be altered by genetic factors and environmental conditions. In this study, we propose a new framework for analysing plant root morphology by hierarchical Bayesian statistical models. We conducted Bayesian regression analyses of length and number of primary and lateral roots of Arabidopsis plants, and obtained mathematical models for inferring time-dependent developmental phenotypes controlled by CLAVATA3/ENDOSPERM SURROUNDING REGION-related (CLE) peptides and CLAVATA1 (CLV1) leucine-rich repeat receptor-like kinase. The characteristics of RSA were de-convoluted into a small number of parameters, which can define the timing of root growth and development. The CLE3-CLV1 signal was primarily associated with parameters indicating the timing of lateral root protrusion from the primary root. This study provides a robust statistical modelling method for interpreting dynamic changes in RSA of Arabidopsis. The method demonstrates essential checkpoints of lateral root development through meta-analysis of time series data.
参考文献
Araya et al. (2014) PNAS 111, 2029-2034;
Araya et al. (2014) Plant Signaling Behavior e29302.
