000			03363nab|a22004337a|4500
001			68875
003			MX-TxCIM
005			20251223151608.0
008			250604s2025 s ||||| |||| 00| 0 eng d
022			_a1661-6596
024	8		_ahttps://doi.org/10.3390/ijms26104610
040			_aMX-TxCIM
041			_aeng
100	1		_aMishra, C.N. _914669
245	1	0	_aTranscriptomic analysis to understand the nitrogen stress response mechanism in BNI-enabled wheat
260			_aBasel (Switzerland) : _bMDPI, _c2025.
500			_aOpen Access
500			_aPeer review
520			_aA comparative transcriptomic analysis was conducted for the nitrogen-efficient (BNI-Munal) and derivative parent Munal wheat genotypes to unravel the gene expression patterns across four nitrogen levels (0%, 50%, 75%, and 100%). Analyzing the genes of BNI-enabled wheat helps us understand how they are expressed differently, which heavily influences BNI activity. Grain yield and 1000-grain weight were higher in BNI Munal than in Munal. All the other traits were similar in performance. Varying nitrogen dosages led to significant differences in gene expression patterns between the two genotypes. Genes related to binding and catalytic activity were prevalent among molecular functions, while genes corresponding to cellular anatomical entities dominated the cellular component category. Differential expression was observed in 371 genes at 0%N, 261 genes at 50%N, 303 genes at 75%N, and 736 genes at 100%N. Five unigenes (three upregulated and two downregulated) were consistently expressed across all nitrogen levels. Further analysis of upregulated unigenes identified links to the NrpA gene (involved in nitrogen regulation), tetratricopeptide repeat-containing protein (PPR), and cytokinin dehydrogenase 2. Analysis of downregulated genes pointed to associations with the Triticum aestivum 3BS-specific BAC library, which encodes the NPF (Nitrate and Peptide Transporter Family) and the TaVRN gene family (closely related to the TaNUE1 gene). The five unigenes and one unigene highlighted in the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were validated in Munal and BNI Munal. The results obtained will enhance our understanding about gene expression patterns across different nitrogen levels in BNI wheat and help us breed wheat varieties with the BNI trait for improved NUE.
546			_aText in English
597			_dJapan International Cooperation Agency (JICA) _fBreeding for Tomorrow _uhttps://hdl.handle.net/10568/179272
650		7	_aNitrification inhibitors _2AGROVOC _94939
650		7	_aTranscriptomics _2AGROVOC _930116
650		7	_aGenes _2AGROVOC _93563
650		7	_aWheat _2AGROVOC _91310
700	0		_aSushma Kumari Pawar _937653
700	1		_aSharma, S. _937652
700	1		_aThakur, A. _939066
700	0		_aSabhyata _937654
700	1		_aMishra, S. _939067
700	0		_aSatish Kumar _97883
700	0		_aOm Prakash Gupta _928835
700	1		_aJoshi, A.K. _gGlobal Wheat Program _gFormerly Borlaug Institute for South Asia _8INT2917 _9873
700	1		_aTiwari, R. _99681
773	0		_tInternational Journal of Molecular Sciences _gv. 26, no. 10, art. 4610 _dBasel (Switzerland) : MDPI, 2025. _x1661-6596
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/35709
942			_cJA _n0 _2ddc
999			_c68875 _d68867