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001			64368
003			MX-TxCIM
005			20211104164731.0
008			200910s2021||||xxk|||p|op||||00||0|eng|d
022			_a1471-2229
024	8		_ahttps://doi.org/10.1186/s12870-021-03183-3
040			_aMX-TxCIM
041			_aeng
100	1		_aSchierenbeck, M. _923870
245	1	0	_aGenetic dissection of grain architecture-related traits in a winter wheat population
260			_aLondon (United Kingdom) : _bBioMed Central, _c2021.
500			_aPeer review
500			_aOpen Access
520			_aBackground: The future productivity of wheat (T. aestivum L.) as the most grown crop worldwide is of utmost importance for global food security. Thousand kernel weight (TKW) in wheat is closely associated with grain architecture-related traits, e.g. kernel length (KL), kernel width (KW), kernel area (KA), kernel diameter ratio (KDR), and factor form density (FFD). Discovering the genetic architecture of natural variation in these traits, identifying QTL and candidate genes are the main aims of this study. Therefore, grain architecture-related traits in 261 worldwide winter accessions over three field-year experiments were evaluated. Results: Genome-wide association analysis using 90K SNP array in FarmCPU model revealed several interesting genomic regions including 17 significant SNPs passing false discovery rate threshold and strongly associated with the studied traits. Four of associated SNPs were physically located inside candidate genes within LD interval e.g. BobWhite_c5872_589 (602,710,399 bp) found to be inside TraesCS6A01G383800 (602,699,767–602,711,726 bp). Further analysis reveals the four novel candidate genes potentially involved in more than one grain architecture-related traits with a pleiotropic effects e.g. TraesCS6A01G383800 gene on 6A encoding oxidoreductase activity was associated with TKW and KA. The allelic variation at the associated SNPs showed significant differences betweeen the accessions carying the wild and mutated alleles e.g. accessions carying C allele of BobWhite_c5872_589, TraesCS6A01G383800 had significantly higher TKW than the accessions carying T allele. Interestingly, these genes were highly expressed in the grain-tissues, demonstrating their pivotal role in controlling the grain architecture. Conclusions: These results are valuable for identifying regions associated with kernel weight and dimensions and potentially help breeders in improving kernel weight and architecture-related traits in order to increase wheat yield potential and end-use quality.
546			_aText in English
650		7	_aKernels _2AGROVOC _91168
650		7	_aWinter wheat _2AGROVOC _92104
650		7	_aGrain _2AGROVOC _91138
650		7	_aGenes _2AGROVOC _93563
700	1		_915748 _aAlqudah, A.M.
700	1		_923871 _aLohwasser, U.
700	1		_915747 _aTarawneh, R.A.
700	1		_923872 _aSimón, M.R.
700	1		_910064 _aBörner, A.
773	0		_tBMC Plant Biology _gv. 21, art. 417 _dLondon (United Kingdom) : BioMed Central, 2021. _x1471-2229 _wGu79387
787	0		_tCorrection to : genetic dissection of grain architecture-related traits in a winter wheat population _w64496
856	4		_yClick here to access online _uhttps://doi.org/10.1186/s12870-021-03183-3
942			_cJA _n0 _2ddc
999			_c64368 _d64360