Linkage between leaf development and photosynthetic response at hyperosmotic salinity in the C-4 grass Panicum antidotale

Flora ◽  
2019 ◽  
Vol 256 ◽  
pp. 52-60 ◽  
Author(s):  
Tabassum Hussain ◽  
Bernhard Huchzermeyer ◽  
Hans-Werner Koyro ◽  
M. Ajmal Khan
Keyword(s):  
Leaf Development ◽  
Photosynthetic Response ◽  
Panicum Antidotale

Photosynthetic response of P-deficient Gracilaria tenuistipitata under two different phosphate treatments

1996 ◽  
Vol 96 (4) ◽  
pp. 601-606 ◽  
Author(s):  
Maria J. Garcia-Sanchez ◽  
Jose A. Fernandez ◽  
F. Xavier Niell
Keyword(s):  
Photosynthetic Response ◽  
Gracilaria Tenuistipitata

Photosynthetic Response to Chilling in Peanut

Crop Science ◽  
1994 ◽  
Vol 34 (4) ◽  
pp. 1014-1023 ◽  
Author(s):  
M. J. Bell ◽  
T. E. Micheals ◽  
D. E. McCullough ◽  
M. Tollenaar
Keyword(s):  
Photosynthetic Response

scholarly journals Transcriptome Analysis of Ginkgo biloba L. Leaves across Late Developmental Stages Based on RNA-Seq and Co-Expression Network

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 315
Author(s):  
Hailin Liu ◽  
Xin Han ◽  
Jue Ruan ◽  
Lian Xu ◽  
Bing He
Keyword(s):  
Ginkgo Biloba ◽  
Leaf Development ◽  
Developmental Stages ◽  
Leaf Growth ◽  
Rna Seq ◽  
Final Size ◽  
Dioecious Species ◽  
Related Factors ◽  
New Genes ◽  
Gene Modules

The final size of plant leaves is strictly controlled by environmental and genetic factors, which coordinate cell expansion and cell cycle activity in space and time; however, the regulatory mechanisms of leaf growth are still poorly understood. Ginkgo biloba is a dioecious species native to China with medicinally and phylogenetically important characteristics, and its fan-shaped leaves are unique in gymnosperms, while the mechanism of G. biloba leaf development remains unclear. In this study we studied the transcriptome of G. biloba leaves at three developmental stages using high-throughput RNA-seq technology. Approximately 4167 differentially expressed genes (DEGs) were obtained, and a total of 12,137 genes were structure optimized together with 732 new genes identified. More than 50 growth-related factors and gene modules were identified based on DEG and Weighted Gene Co-expression Network Analysis. These results could remarkably expand the existing transcriptome resources of G. biloba, and provide references for subsequent analysis of ginkgo leaf development.

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