首页|Identification of genes involved in Kranz anatomy evolution of nonmodel grasses using unsupervised machine learning

Identification of genes involved in Kranz anatomy evolution of nonmodel grasses using unsupervised machine learning

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According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from biorxiv.org: “Kranz syndrome is a set of leaf anatomical and functional characteristics of species using C4 photosynthesis. “The current model for the evolution of C4 photosynthesis from a C3 ancestor proposes a series of gradual anatomical changes followed by a biochemical adaptation of the C4 cycle enzymatic machinery.

CyborgsEmerging TechnologiesGeneticsMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.15)