Using machine learning to link the influence of transferred Agrobacterium rhizogenes genes to the hormone profile and morphological traits in Centella asiatica hairy roots
Использование машинного обучения для установления связи влияния перенесённых генов Agrobacterium rhizogenes с гормональным профилем и морфологическими признаками волосистых корней Centella asiatica
2022-09-02
SCID: 54.1/bevg3s2h
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Agrobacterium rhizogenes rol genesaux genes (aux1)hairy roots of Centella asiaticahormone profile: ABA and IPAmachine learning: random forest, support vector machines, linear discriminant analysis, neural networks
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Abstract (AI)
genes are closely linked to the ABA profile. Finally, we effectively verified the gene influence on these two specific hormones through feeding experiments that aimed to reverse the effect on root morphology and centelloside content.
Key Findings
1
Feeding experiments validated that manipulating IPA and ABA levels can reverse effects on root morphology and centelloside content, confirming gene-hormone influence.
2
IPA positively associates with benefits to the biotechnological platform, implying it supports desirable morphology and centelloside production.
3
Machine-learning models (random forest, SVM, LDA, neural networks) can discriminate highly productive Centella asiatica hairy root lines using rol/aux gene expression or hormone profiles.
4
Out of 12 evaluated hormones, 10 were detected; abscisic acid (ABA) and cytokinin isopentenyl adenosine (IPA) are critical for morphological traits and centelloside content.
5
The aux1 gene significantly influences the IPA hormone profile, while rol genes are closely linked to the ABA profile.
Research Object
Centella asiatica hairy root line cultures transformed by Agrobacterium rhizogenes genes (rol and aux)
Research Subject
Relationships between transferred rol and aux gene expressions and (a) hormone profile (including ABA and IPA), (b) morphological traits, and (c) centelloside production, and the relative influence of specific genes on individual hormone levels
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2022-09-02
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