cff-version: 1.2.0
abstract: "<p>This software package contains all scripts employed to analyze data from an RNA-Seq experiment conducted on Brassicaceae species grown under different irradiances. In this study, co-authors and I aimed to comprehend the genetic and physiological underpinnings of photosynthetic light-use efficiency (LUE) under high irradiance conditions, focusing on the plant species <em>Hirschfeldia incana</em>. We performed a comparison of the transcriptional signature associated to very high, "supernatural" irradiance in <em>H. incana</em> with three other Brassicaceae plants (<em>Arabidopsis thaliana</em>, <em>Brassica rapa</em>, and <em>Brassica nigra</em>), which previously demonstrated lower photosynthetic LUE. By utilizing a panproteome, we assessed gene expression patterns in response to high irradiance across the four species. Our findings reveal that all species actively regulate genes linked to photosynthesis. Analyzing genes associated with three key photosynthetic pathways, we observed a consistent pattern of reduced gene expression under high irradiance conditions. Notably, specific genes exhibited differential expression exclusively in <em>H. incana</em>, while in other instances, transcript abundance was consistently higher in<em> H. incana</em> regardless of light intensity. In conclusion, the study this software supports presents the first comparative transcriptome analysis of plant species grown entirely under prolonged high irradiance, rather than just briefly exposed to it. We demonstrate that, in contrast to other Brassicaceae species, <em>H. incana</em> subjected to intense irradiance displays enhanced gene expression related to photosynthesis through distinct mechanisms: canonical differential expression, inherent elevated expression of single-copy genes, and cumulative elevated expression via simultaneous expression of multiple gene copies. This research establishes a crucial groundwork for future endeavors aimed at comprehending elevated photosynthetic light-use efficiency and ultimately achieving highly effective photosynthesis in agricultural crops.</p>"
authors:
  - family-names: Garassino
    given-names: Francesco
    orcid: "https://orcid.org/0000-0002-3568-9077"
title: "Software supporting: RNA-Seq analysis of Brassicaceae species under different irradiances"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/5b88cdf2-eb5f-4033-8ece-1f3f488a1f83.v1
license: MIT
date-released: 2023-08-17