000			03032nab|a22004457a|4500
001			66553
003			MX-TxCIM
005			20231107223621.0
008			20231s2023||||mx |||p|op||||00||0|eng|d
022			_a0301-4851
022			_a1573-4978 (Online)
024	8		_ahttps://doi.org/10.1007/s11033-023-08800-y
040			_aMX-TxCIM
041			_aeng
100	1		_aKaur, H. _932016
245	1	0	_aGenetic analysis of iron, zinc and grain yield in wheat-Aegilops derivatives using multi-locus GWAS
260			_bSpringer Netherlands, _c2023. _aDordrecht (Netherlands) :
500			_aPeer review
520			_aBackground: Wheat is a major staple crop and helps to reduce worldwide micronutrient deficiency. Investigating the genetics that control the concentrations of iron (Fe) and zinc (Zn) in wheat is crucial. Hence, we undertook a comprehensive study aimed at elucidating the genomic regions linked to the contents of Fe and Zn in the grain. Methods and results: We performed the multi-locus genome-wide association (ML-GWAS) using a panel of 161 wheat-Aegilops substitution and addition lines to dissect the genomic regions controlling grain iron (GFeC), and grain zinc (GZnC) contents. The wheat panel was genotyped using 10,825 high-quality SNPs and phenotyped in three different environments (E1-E3) during 2017–2019. A total of 111 marker-trait associations (MTAs) (at p-value < 0.001) were detected that belong to all three sub-genomes of wheat. The highest number of MTAs were identified for GFeC (58), followed by GZnC (44) and yield (9). Further, six stable MTAs were identified for these three traits and also two pleiotropic MTAs were identified for GFeC and GZnC. A total of 1291 putative candidate genes (CGs) were also identified for all three traits. These CGs encode a diverse set of proteins, including heavy metal-associated (HMA), bZIP family protein, AP2/ERF, and protein previously associated with GFeC, GZnC, and grain yield. Conclusions: The significant MTAs and CGs pinpointed in this current study are poised to play a pivotal role in enhancing both the nutritional quality and yield of wheat, utilizing marker-assisted selection (MAS) techniques.
546			_aText in English
650		7	_aAegilops _2AGROVOC _91000
650		7	_aGenotyping-by-sequencing _2AGROVOC _91135
650		7	_aGenome-wide association studies _2AGROVOC _931443
650		7	_aIron _2AGROVOC _93544
650		7	_aWheat _2AGROVOC _91310
650		7	_aZinc _2AGROVOC _91315
700	1		_aSharma, P. _932017
700	1		_aKumar, J. _91381
700	1		_aSingh, V.K. _932018
700	1		_aVasistha, N.K. _92191
700	0		_aVijay Gahlaut _98163
700	1		_aTyagi, V. _932020
700	1		_aVerma, S.K. _920626
700	1		_aSukhwinder-Singh _8INT3098 _9892 _gGenetic Resources Program
700	1		_aDhaliwal, H.S. _913880
700	1		_aSheikh, I. _913876
773	0		_tMolecular Biology Reports _dDordrecht (Netherlands) : Springer Netherlands, 2023. _x0301-4851 _gIn press
942			_cJA _n0 _2ddc
999			_c66553 _d66545