Physiological and genome-wide RNA-sequencing analyses identify candidate genes in a nitrogen-use efficient potato cv. Kufri Gaurav

Bibliographische Detailangaben
Veröffentlicht in:	Plant physiology and biochemistry : PPB. - 1991. - 154(2020) vom: 15. Sept., Seite 171-183
1. Verfasser:	Tiwari, Jagesh Kumar (VerfasserIn)
Weitere Verfasser:	Buckseth, Tanuja, Devi, Sapna, Varshney, Shivangi, Sahu, Sarika, Patil, Virupaksh U, Zinta, Rasna, Ali, Nilofer, Moudgil, Vaishali, Singh, Rajesh K, Rawat, Shashi, Dua, Vijay K, Kumar, Devendra, Kumar, Manoj, Chakrabarti, Swarup K, Rao, Atmakuri R, Rai, Anil
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2020
Zugriff auf das übergeordnete Werk:	Plant physiology and biochemistry : PPB
Schlagworte:	Journal Article Genes Nitrogen use efficiency Potato RNA-Sequencing RT-qPCR RNA, Plant Nitrogen N762921K75

Beschreibung
Zusammenfassung:	Copyright © 2020 Elsevier Masson SAS. All rights reserved. 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
Beschreibung:	Date Completed 10.12.2020 Date Revised 14.12.2020 published: Print-Electronic Citation Status MEDLINE
ISSN:	1873-2690
DOI:	10.1016/j.plaphy.2020.05.041