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Field transcriptome revealed a novel relationship between nitrate transport and flowering in Japanese beech

ABSTRACT: Recent advances in molecular and genetic studies about flowering time control have been increasingly available to elucidate the physiological mechanism underlying masting, the intermittent and synchronized production of a large amount of flowers and seeds in plant populations. To identify unexplored developmental and physiological processes associated with masting, genome-wide transcriptome analysis is a promising tool, but such analyses have yet to be performed. We established a field transcriptome using a typical masting species, Japanese beech (Fagus crenata Blume), over two years, and analyzed the data using a nonlinear time-series analysis called convergent cross mapping. Our field transcriptome was found to undergo numerous changes depending on the status of floral induction and season. An integrated approach of high-throughput transcriptomics and causal inference was successful at detecting novel causal regulatory relationships between nitrate transport and florigen synthesis/transport in a forest tree species. The synergistic activation of nitrate transport and floral transition could be adaptive to simultaneously satisfy floral transition at the appropriate timing and the nitrogen demand needed for flower formation.

ORGANISM(S): Fagus crenata

PROVIDER: GSE126540 | GEO | 2019/02/27

REPOSITORIES: GEO

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Project description:Plants take up nitrate in soils and utilize it both for nitrogen assimilation and as a signaling molecule. Thus, an essential role of nitrate in plants is triggering changes in gene expression patterns, including immediate induction of the expression of genes involved in nitrate transport and assimilation as well as several transcription factor genes and genes related with carbon metabolism and cytokinin biosynthesis and response. Recently we identified NIN-like proteins (NLPs) as transcription factors governing nitrate-inducible gene expression in Arabidopsis. Because of their similar DNA-binding property, nine NLP proteins may play redundant roles in controlling nitrate-regulated gene expression in Arabidopsis. The physiological roles of NLPs were therefore assessed by generating transgenic Arabidopsis plants expressing NLP6 fused to the transcriptional repression domain of SUPERMAN (SUPRD), which has an ability to convert transcriptional activators into transcriptional repressors. Our transcriptome analysis revealed that levels of nitrate-inducible expression of nitrate transporter genes (NRT1.1 and NRT2.1), nitrate reduction enzyme genes (NIA1, NIA2 and NIR1), the genes associated with ammonium assimilation (GLT1 for glutamine-2-oxoglutarate aminotransferase and ASN2 for asparagine synthetase), LBD37-39 transcription factor genes and genes encoding homologs of rice nitrate-inducible NIGT1 transcriptional repressor, were reduced in the NLP6-SUPRD lines. Furthermore, levels of nitrate-inducible expression of the genes associated with the oxidative pentose phosphate pathway (G6PD2 and G6PD3 for glucose-6-phosphate dehydrogenases, and 6-phosphogluconate dehydrogenase genes), cytokinin biosynthesis (IPT3) and signal transduction (A-type ARR genes), a gene encoding a Ser/Thr protein kinase associated with a calcineurin B–like calcium sensor (CIPK3) were also found to be largely decreased by reductions in NLP activity. Because induction folds by nitrate and reduction folds by decreases in the NLP activity were well proportional, the NLP activity appeared to be responsible for most of nitrate responsiveness of the genes whose expression occurs immediately after nitrate treatment.

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Field transcriptome revealed a novel relationship between nitrate transport and flowering in Japanese beech

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