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Optimal control of root nodulation - Prediction of life history theory of a mutualistic system.
Kobayashi, Ryota; Yamaguchi, Sachi; Iwasa, Yoh.
Affiliation
  • Kobayashi R; Department of Biosciences, School of Science and Technology, Kwansei Gakuin University, 2-1 Gakuen, Sanda, Hyogo 669-1337, Japan.
  • Yamaguchi S; Division of Mathematical Sciences, Tokyo Woman's Christian University, 2-6-1 Zempukuji, Suginami-ku, Tokyo 167-8585, Japan.
  • Iwasa Y; Department of Biosciences, School of Science and Technology, Kwansei Gakuin University, 2-1 Gakuen, Sanda, Hyogo 669-1337, Japan. Electronic address: yohiwasa@kyudai.jp.
J Theor Biol ; 510: 110544, 2021 02 07.
Article in En | MEDLINE | ID: mdl-33227264
ABSTRACT
Legumes produce root nodules containing symbiotic rhizobial bacteria that convert atmospheric molecular nitrogen into ammonia or related nitrogenous compounds. The host plant supplies photosynthetic products to root nodules forming a mutualistic system. Legumes have physiological mechanisms for regulating nodule production with chemical signals produced in leaves, called the autoregulation of nodulation. In this paper, we discuss the optimal number of root nodules that maximizes the performance of the host plant. Here, we study two models. In the stationary plant model, the acquired photosynthetic products minus cost and loss are used for reproduction. In the growing plant model, the excess material is invested to produce leaves, roots, and root nodules, resulting in the exponential growth of the whole plant. The analysis shows that having root nodules is beneficial to the plant for a high leaf nitrogen content, faster plant growth rate, a short leaf longevity, a low root/shoot ratio, and low soil nutrient concentration. We discuss the long-distance control of nodulation-autoregulation and dependence on the environmental conditions of terrestrial plants considering these results.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Rhizobium / Life History Traits / Fabaceae Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Theor Biol Year: 2021 Type: Article Affiliation country: Japan

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Rhizobium / Life History Traits / Fabaceae Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Theor Biol Year: 2021 Type: Article Affiliation country: Japan