| Literature DB >> 32563041 |
Jagesh Kumar Tiwari1, Tanuja Buckseth2, Sapna Devi2, Shivangi Varshney3, Sarika Sahu3, Virupaksh U Patil2, Rasna Zinta2, Nilofer Ali2, Vaishali Moudgil2, Rajesh K Singh2, Shashi Rawat2, Vijay K Dua2, Devendra Kumar4, Manoj Kumar5, Swarup K Chakrabarti2, Atmakuri R Rao3, Anil Rai3.
Abstract
Nitrogen (N) is an important nutrient for plant growth. However, its excess application leads to environmental damage. Hence, improving nitrogen use efficiency (NUE) of plant is one of the plausible options to solve the problems. Aim of this study was to identify candidate genes involved in enhancing NUE in potato cv. Kufri Gaurav (N efficient). Plants were grown in aeroponic with two contrasting N regimes (low N: 0.75 mM, and high N: 7.5 mM). Higher NUE in Kufri Gaurav was observed in low N based on the parameters like NUE, NUpE (N uptake efficiency), NUtE (N utilization efficiency) and AgNUE (agronomic NUE). Further, global gene expression profiles in root, leaf and stolon tissues were analyzed by RNA-sequencing using Ion Proton™ System. Quality data (≥Q20) of 2.04-2.73 Gb per sample were mapped with the potato genome. Statistically significant (P ≤ 0.05) differentially expressed genes (DEGs) were identified such as 176 (up-regulated) and 30 (down-regulated) in leaves, 39 (up-regulated) and 105 (down-regulated) in roots, and 81 (up-regulated) and 694 (down-regulated) in stolons. The gene ontology (GO) terms like metabolic process, cellular process and catalytic activity were predominant. Our RT-qPCR analysis confirmed the gene expression profiles of RNA-seq. Overall, we identified candidate genes associated with improving NUE such as superoxide dismutase, GDSL esterase lipase, probable phosphatase 2C, high affinity nitrate transporters, sugar transporter, proline rich proteins, transcription factors (VQ motif, SPX domain, bHLH) etc. Our findings suggest that these candidate genes probably play crucial roles in enhancing NUE in potato.Entities:
Keywords: Genes; Nitrogen use efficiency; Potato; RNA-Sequencing; RT-qPCR
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Year: 2020 PMID: 32563041 DOI: 10.1016/j.plaphy.2020.05.041
Source DB: PubMed Journal: Plant Physiol Biochem ISSN: 0981-9428 Impact factor: 4.270