bioRxivPlant BiologyPreprint
Comparative spatiotemporal single cell transcriptomes reveal rewiring of pre-existing regulations during emergence of Kranz anatomy in C4 grasses
Caiyao ZhaoiD, Jianzhao YangiD, Anting Ni, Hanyang CheniD, Hong SuiD, Yating ChengiD, Xiaoya LiiD, Liyuan Zhong, Dongming FangiD, Hao-Ran Sun, Juan YiiD, Ying WangiD, Yanjie Wang, Ming‐Ju Amy LyuiD, Xiaoxiang NiiD, Lichuan Chen, Huanjin Li, Guichao Yu, Yumeng WangiD, Rui CheniD, Hou–Yong YuiD, Wenwen ShaoiD, Hai‐Xi SuniD, Yinqi BaiiD, Chuanshun LiiD, , Xin‐Guang ZhuiD
Abstract
Many of the worlds most productive food and bioenergy crops use C4 photosynthesis, which have high photosynthetic efficiency due to a Kranz anatomy-based CO2 concentrating mechanism. Here, we took a comparative transcriptomics approach using single cell spatial transcriptomes of leaf primordia for maize (Zea mays) and single cell RNA-seq (scRNA-seq) atlases of corresponding leaf tissues for three C4 species (Zea mays, Sorghum bicolor, Setaria viridis) and one C3 rice (Oryza sativa) to study regulatory networks involved in the development and evolution of Kranz anatomy. We show that the formation of Kranz anatomy involves extensive recruitment and modification of pre-existing regulatory modules, especially the SHR-SCR module and the auxin signaling pathway. Members of the INDETERMINATE DOMAIN (IDD) family transcription factors, including IDD7 and IDDP1, contribute to the modification of the involved modules. These extensive recruitment and modification of existing genetic regulatory programs underlie the repeated emergence of C4 photosynthesis during evolution.
- organism: zebrafish
- organism: mouse
- organism: rat
- assay: spatial transcriptomics
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: gene regulatory network inference
- research focus: development & morphogenesis
- approach: experimental assay
- approach: statistical model
- Citations
- 1
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Identification of genes involved in Kranz anatomy evolution of non-model grasses using unsupervised machine learning
S. Prochetto, G. Stegmayer, … R. Reinheimer·bioRxiv·Jan 31, 2024
- Transcriptome dynamics in developing leaves from C3 and C4 Flaveria species reveal determinants of Kranz anatomy
K. Billakurthi, T. J. Wrobel, … U. Gowik·bioRxiv·Nov 19, 2018
- Using adaptive evolutionary signatures to screen candidate regulatory genes and cis-elements associated with Kranz development in monocots
A. Saji, G. Bijukumar, V. Thakur·bioRxiv·Feb 22, 2024
- Single-cell resolved differentiation of pre-Kranz anatomy in maize leaf primordia
Juan Yi, Hong Yan Su, … Peng Wang·bioRxiv·Jul 10, 2024
- Redundant SCARECROW genes pattern distinct cell layers in roots and leaves of maize
T. E. Hughes, O. V. Sedelnikova, … J. A. Langdale·bioRxiv·Mar 4, 2019
- Mutations in NAKED-ENDOSPERM IDD genes reveal functional interactions with SCARECROW and a maternal influence on leaf patterning in C4 grasses
T. E. Hughes, O. Sedelnikova, … J. A. Langdale·bioRxiv·Oct 28, 2022