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Abstract
Cassava is an important staple crop in tropical and sub-tropical areas. As a common farming practice, cassava is usually cultivated intercropping with other crops and subjected to various degrees of shading, which causes reduced productivity. Herein, a comparative transcriptomic analysis was performed on a series of developmental cassava leaves under both full sunlight and natural shade conditions. Gene expression profiles of these two conditions exhibited similar developmental transitions, e.g. genes related to cell wall and basic cellular metabolism were highly expressed in immature leaves, genes involved in lipid metabolism and tetrapyrrole synthesis were highly expressed during the transition stages, and genes related to photosynthesis and carbohydrates metabolism were highly expressed in mature leaves. Compared with the control, shade significantly induced the expression of genes involved in light reaction of photosynthesis, light signaling and DNA synthesis/chromatin structure; however, the genes related to anthocyanins biosynthesis, heat shock, calvin cycle, glycolysis, TCA cycle, mitochondrial electron transport, and starch and sucrose metabolisms were dramatically depressed. Moreover, the shade also influenced the expression of hormone-related genes and transcriptional factors. The findings would improve our understanding of molecular mechanisms of shade response, and shed light on pathways associated with shade-avoidance syndrome for cassava improvement.
TL;DRA comparative transcriptomic analysis was performed on a series of developmental cassava leaves under both full sunlight and natural shade conditions to improve the understanding of molecular mechanisms of shade response and shed light on pathways associated with shade-avoidance syndrome for cassava improvement. (Semantic Scholar)
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Discussion
a
Key Laboratory of Biology and Genetic Resources of Tropical Crops, The Institute of Tropical Bioscience and Biotechnology (ITBB), Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou, Hainan 571101, China
bKey Laboratory of Biology and Genetic Resources of Tropical Crops, The Institute of Tropical Bioscience and Biotechnology (ITBB), Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou, 571101, Hainan, China
cCenter for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska 68583, USA
dDepartment of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska 68583, USA
eCenter for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, 68583, Nebraska, USA
fCAS-Key laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
gCAS-Key laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, CAS, Shanghai, 200031, China
hDepartment of Statistics, Iowa State University, Ames, Iowa 50011, USA
iDepartment of Statistics, Iowa State University, Ames, 50011, Iowa, USA
jComputational Biology Service Unit, Life Sciences Core Laboratories Center, Cornell University, Ithaca, New York 14850, USA
kComputational Biology Service Unit, Life Sciences Core Laboratories Center, Cornell University, Ithaca, 14850, New York, USA
lDonald Danforth Plant Science Center, St. Louis, Missouri 63132, USA
mDonald Danforth Plant Science Center, St. Louis, Missouri, 63132, USA
nState Key Laboratory of Crop Biology, College of Agronomic Sciences, Shandong Agricultural University, Tai'an, Shandong 271018, China
oState Key Laboratory of Crop Biology, College of Agronomic Sciences, Shandong Agricultural University, Tai'an, 271018, Shandong, China
