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Agricultural quality matrix-based multiomics structural analysis of carrots in soils fertilized with thermophile-fermented compost

Quantitative Methods 2023-04-24 v5

Abstract

Compost is used worldwide as a soil conditioner for crops, but its functions have still been explored. Here, the omics profiles of carrots were investigated, as a root vegetable plant model, in a field amended with compost fermented with thermophilic Bacillaceae for growth and quality indices. Exposure to compost significantly increased the productivity, antioxidant activity, red color, and taste of the carrot root and altered the soil bacterial composition with the levels of characteristic metabolites of the leaf, root, and soil. Based on the data, structural equation modeling (SEM) estimated that L-2-aminoadipate, phenylalanine, flavonoids and / or carotenoids in plants were optimally linked by exposure to compost. The SEM of the soil estimated that the genus Paenibacillus, L-2-aminoadipate and nicotinamide, and S-methyl L-cysteine were optimally involved during exposure. These estimates did not show a contradiction between the whole genomic analysis of compost-derived Paenibacillus isolates and the bioactivity data, inferring the presence of a complex cascade of plant growth-promoting effects and modulation of the nitrogen cycle by compost itself. These observations have provided information on the qualitative indicators of compost in complex soil-plant interactions and offer a new perspective for chemically independent sustainable agriculture through the efficient use of natural nitrogen.

Keywords

Cite

@article{arxiv.2202.03132,
  title  = {Agricultural quality matrix-based multiomics structural analysis of carrots in soils fertilized with thermophile-fermented compost},
  author = {Hirokuni Miyamoto and Katsumi Shigeta and Wataru Suda and Yasunori Ichihashi and Naoto Nihei and Makiko Matsuura and Arisa Tsuboi and Naoki Tominaga and Masahiko Aono and Muneo Sato and Shunya Taguchi and Teruno Nakaguma and Naoko Tsuji and Chitose Ishii and Teruo Matsushita and Chie Shindo and Toshiaki Ito and Tamotsu Kato and Hiroshi Ohno and Atsushi Kurotani and Hideaki Shima and Shigeharu Moriya and Sankichi Horiuchi and Takashi Satoh and Kenichi Mori and Takumi Nishiuchi and Hisashi Miyamoto and Masahira Hattori and Hiroaki Kodama and Jun Kikuchi and Yumi Hirai},
  journal= {arXiv preprint arXiv:2202.03132},
  year   = {2023}
}

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6 figures, 1 Table, and support information