Transcriptional characterization of maize roots in response to nitrate (NO3-), Water-Extractable Humic Substances (WEHS) and NO3-+WEHS.
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ABSTRACT:
ORGANISM(S): Zea mays
PROVIDER: GSE103184 | GEO | 2018/07/30
REPOSITORIES: GEO
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Project description:Nitrogen (N) fertilization is essential to maximize crop production. However, around half of the applied N is lost to the environment causing water and air pollution and contributing to climate change. Understanding the natural genetic and metabolic basis underlying plants N use efficiency is of great interest to reach an agriculture with less N demand and thus, more sustainable. The study of ammonium (NH4+) nutrition is of particular interest, because it mitigates N losses due to nitrate (NO3-) leaching or denitrification. In this work, we performed gene expression analysis in the root of the model plant for C3 grasses Brachypodiyum distachyon, reference accession Bd21, grown with exclusive NH4+ or NO3- supply.
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Project description:Transcriptional characterization of maize roots in response to nitrate (NO3-), Water-Extractable Humic Substances (WEHS) and NO3-+WEHS.
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Project description:This work uses a time series in order to decipher gene relationships and consequently to build core regulatory networks involved in Arabidopsis root adaptation to NO3- provision. The experimental approach has been to monitor genome response to NO3- at 3, 6, 9, 12, 15 and 20 min, using ATH1 chips. This high-resolution time course analysis demonstrated that the previously known primary nitrate response is actually preceded by very fast (within 3 min) gene expression modulation, involving genes/functions needed to prepare plants to use/reduce NO3-. State-space modeling (a machine learning approach) has been used to successfully predict gene behavior in unlearnt conditions.
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Project description:Nitrate (NO3-) is crucial for optimal plant growth and development and often limits crop productivity at the low availability. In comparison with model plant Arabidopsis, the molecular mechanisms underlying NO3- acquisition and utilization remain largely unclear in maize. In particular, only a few genes have been exploited to improve nitrogen use efficiency (NUE). Here, we demonstrated that NO3--inducible ZmNRT1.1B (ZmNPF6.6) positively regulated NO3--dependent growth and NUE in maize. We showed that the tandem duplicated proteoform ZmNRT1.1C is irrelevant to maize seedling growth under nitrate supply, however, loss-of-function of ZmNRT1.1B significantly weakened plant growth under adequate NO3- supply in both hydroponic and field conditions. 15N-labeled NO3- absorption assay indicated that ZmNRT1.1B mediated high-affinity NO3--transport and root-to-shoot NO3- translocation. Furthermore, upon NO3- supply, ZmNRT1.1B promotes cytoplasmic-to-nuclear shuttling of ZmNLP3.1 (ZmNLP8), which co-regulates the expression of genes involved in NO3- response, cytokinin biosynthesis and carbon metabolism. Remarkably, overexpression of ZmNRT1.1B in modern maize hybrids improved grain yield under nitrogen (N) limiting fields. Taken together, our study revealed a crucial role of ZmNRT1.1B in high-affinity NO3- transport and signaling and offers valuable genetic resource for breeding nitrogen use efficient high-yield cultivars.
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Project description:Arable soils are extremely heterogeneous in spatial nutrient distribution. It is well documented that lateral roots (LRs) proliferate in nitrate-rich patch. Yet less information is available as to which genes are involved in this process, in particular in cereals. To understand the molecular mechanism for local nitrate induced LR growth in maize (Zea mays L.), we analyzed the gene expression profiling in maize root in early response (1 hour) to local nitrate stimulation by using Maize Oligonucleotide Array (http://www.maizearray.org) and a split-root system. Selected differentially expressed genes were further confirmed by semi-quantitative RT-PCR. The results showed that reception and/or transduction of local NO3- signal involve some important protein kinases and protein phosphatases (histidine kinases, serine/threonine kinases, protein phosphatase 2A etc.) and transcription factors (F-box, Zinc finger, Myb and bZIP transcription factors and response regulator). Increasing expression of genes encoding auxin response factor 7b, ethylene receptor, and cytokinin oxidase suggests strong interaction among hormonal pathways and local NO3- signaling pathways. Genes involving NO3- uptake and assimilation (NRT2.1, NR, etc.), sugar transport (a sugar transporter) and utilization (a sucrose synthase) were enhanced in the N-fed root. Furthermore, local NO3- induces rapid expression of genes related to cell division and expansion such as alpha-expansin, celluose synthase, kinesin, plasma membrane and tonoplast aquaporins. Based on the differentially expressed genes, a putative model which combines both the 'NO3- signal' and 'metabolic sink' theories is proposed to explain the molecular mechanism controlling local nitrate induced LR elongation in maize.
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Project description:Transcriptional profile of leaves from poplar plants transformed with a pine GS1a gene under two different nitrate nutrition level (50mM and 10mM). Two conditions: nitrate nutrition (50mM and 10 mM) and genotype (GS1a transgenic poplar vs WT poplar)
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Project description:Arable soils are extremely heterogeneous in spatial nutrient distribution. It is well documented that lateral roots (LRs) proliferate in nitrate-rich patch. Yet less information is available as to which genes are involved in this process, in particular in cereals. To understand the molecular mechanism for local nitrate induced LR growth in maize (Zea mays L.), we analyzed the gene expression profiling in maize root in early response (1 hour) to local nitrate stimulation by using Maize Oligonucleotide Array (http://www.maizearray.org) and a split-root system. Selected differentially expressed genes were further confirmed by semi-quantitative RT-PCR. The results showed that reception and/or transduction of local NO3- signal involve some important protein kinases and protein phosphatases (histidine kinases, serine/threonine kinases, protein phosphatase 2A etc.) and transcription factors (F-box, Zinc finger, Myb and bZIP transcription factors and response regulator). Increasing expression of genes encoding auxin response factor 7b, ethylene receptor, and cytokinin oxidase suggests strong interaction among hormonal pathways and local NO3- signaling pathways. Genes involving NO3- uptake and assimilation (NRT2.1, NR, etc.), sugar transport (a sugar transporter) and utilization (a sucrose synthase) were enhanced in the N-fed root. Furthermore, local NO3- induces rapid expression of genes related to cell division and expansion such as alpha-expansin, celluose synthase, kinesin, plasma membrane and tonoplast aquaporins. Based on the differentially expressed genes, a putative model which combines both the 'NO3- signal' and 'metabolic sink' theories is proposed to explain the molecular mechanism controlling local nitrate induced LR elongation in maize. plants were pre-cultured in solution containing 0.5 mmol L-1 NO3- for 6 days and then transferred to N-free solution to grow for another 2 days. Then these plants were transferred to a two-compartment split-root system with only half root supplied with 1.0 mmol L-1 NO3-. Supply of Ca2+ in the N-free half was compensated by adding 1.0 mmol L-1 CaCl2. One hour after the local nitrate treatment, root segments (15cm from root tip to lateral root elongation zone) were sampled for RNA extraction. Two biological replicates were performed for each treatment.
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Project description:Transcriptional profile of leaves from poplar plants transformed with a pine GS1a gene under two different nitrate nutrition level (50mM and 10mM).
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Project description:This work uses a time series in order to decipher gene relationships and consequently to build core regulatory networks involved in Arabidopsis root adaptation to NO3- provision. The experimental approach has been to monitor genome response to NO3- at 3, 6, 9, 12, 15 and 20 min, using ATH1 chips. This high-resolution time course analysis demonstrated that the previously known primary nitrate response is actually preceded by very fast (within 3 min) gene expression modulation, involving genes/functions needed to prepare plants to use/reduce NO3-. State-space modeling (a machine learning approach) has been used to successfully predict gene behavior in unlearnt conditions. 26 Samples: 2 at time 0 with no treatment; 4 at time 3, 2 with KCL and 2 with KNO3 treatment; 4 at time 6, 2 with KCL and 2 with KNO3 treatment; 4 at time 9, 2 with KCL and 2 with KNO3 treatment; 4 at time 12, 2 with KCL and 2 with KNO3 treatment; 4 at time 15, 2 with KCL and 2 with KNO3 treatment; 4 at time 20, 2 with KCL and 2 with KNO3 treatment;
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