Using single-sample networks and genetic algorithms to identify radiation-responsive genes in rice affected by heavy ions of the galactic cosmic radiation with different LET values

Using single-sample networks and genetic algorithms to identify radiation-responsive genes in rice affected by heavy ions of the galactic cosmic radiation with different LET values

IntroductionHeavy ions of the galactic cosmic radiation dominate the radiation risks and biological effects for plants under spaceflight conditions. However, the biological effects and sensitive genes caused by heavy ions with different linear energy transfer (LET) values have not been thoroughly st...

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Bibliographic Details
Main Authors: Yan Zhang, Wei Wang, Meng Zhang, Binquan Zhang, Shuai Gao, Meng Hao, Dazhuang Zhou, Lei Zhao, Guenther Reitz, Yeqing Sun
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Plant Science
Subjects:
spaceflight
space radiation
heavy ions
linear energy transfer
LET regression model
gene interaction pattern
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1457587/full
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https://www.frontiersin.org/articles/10.3389/fpls.2024.1457587/full

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