000			02941nab a22004097a 4500
999			_c60015 _d60007
001			60015
003			MX-TxCIM
005			20211006082417.0
008			190124s2018 sz |||po|p||| 00| 0 eng d
024	8		_ahttps://doi.org/10.3389/fpls.2018.01196
040			_aMX-TxCIM
041			_aeng
100	0		_98338 _aYanchun Peng
245	1		_aGenome-wide association studies of free amino acid levels by six multi-locus models in bread wheat
260			_aSwitzerland : _bFrontiers, _c2018.
500			_aPeer review
500			_aOpen Access
520			_aGenome-wide association studies (GWAS) have been widely used to dissect the complex biosynthetic processes of plant metabolome. Most studies have used single-locus GWAS approaches, such as mixed linear model (MLM), and little is known about more efficient algorithms to implement multi-locus GWAS. Here, we report a comprehensive GWAS of 20 free amino acid (FAA) levels in kernels of bread wheat (Triticum aestivum L.) based on 14,646 SNPs by six multi-locus models (FASTmrEMMA, FASTmrMLM, ISISEM-BLASSO, mrMLM, pKWmEB, and pLARmEB). Our results showed that 328 significant quantitative trait nucleotides (QTNs) were identified in total (38, 8, 92, 45, 117, and 28, respectively, for the above six models). Among them, 66 were repeatedly detected by more than two models, and 155 QTNs appeared only in one model, indicating the reliability and complementarity of these models. We also found that the number of significant QTNs for different FAAs varied from 8 to 41, which revealed the complexity of the genetic regulation of metabolism, and further demonstrated the necessity of the multi-locus GWAS. Around these significant QTNs, 15 candidate genes were found to be involved in FAA biosynthesis, and one candidate gene (TraesCS1D01G052500, annotated as tryptophan decarboxylase) was functionally identified to influence the content of tryptamine in vitro. Our study demonstrated the power and efficiency of multi-locus GWAS models in crop metabolome research and provided new insights into understanding FAA biosynthesis in wheat.
526			_aWC _cFP2
546			_aText in English
591			_aHe Zhonghu : No CIMMYT Affiliation
591			_aYuanfeng Hao : Not CIMMYT Affiliation, not IRS Staff list but CIMMYT Staff member
650		7	_91265 _aSoft wheat _2AGROVOC
650		7	_2AGROVOC _98344 _aFree amino acids
650		7	_2AGROVOC _95832 _aGenomic features
700	0		_98339 _aHongbo Liu
700	0		_98340 _aJie Chen
700	0		_98341 _aTaotao Shi
700	0		_98342 _aChi Zhang
700	0		_98343 _aDongfa Sun
700	1		_aHe Zhonghu _gGlobal Wheat Program _8INT2411 _9838
700	1		_8INT3329 _9919 _aYuanfeng Hao _gGlobal Wheat Program
700	0		_92613 _aWei Chen
773	0		_gv. 9, art. 1196 _tFrontiers in Plant Science _wu56875 _x1664-462X
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/19893
942			_2ddc _cJA _n0