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GrainGenes Reference Report: SFA-99-2775

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Reference	SFA-99-2775
Title	Association and genome analyses to propose putative candidate genes for malt quality traits
Journal	Journal of the Science of Food and Agriculture
Year	2018
Volume	99
Pages	2775-2785
Author	Daba S [ Show all 6 ]
Abstract	BACKGROUND. We studied the genetics of nine malt quality traits using association genetics in a panel of North Dakota, ICARDA, and Ethiopian barley lines. Grain samples harvested from Bekoji in 2011 and 2012 were used. RESULTS. The mapping panel revealed strong population structure explained by inflorescence-type, geographic origin, and breeding history. North Dakota germplasm were superior in malt quality traits and they can be donors to improve malt quality properties. We identified 106 marker-trait associations (MTAs) for the nine traits, representing 81 genomic regions across all barley chromosomes. Chromosomes 3H, 5H, and 7H contained most of the MTAs (58.5%). Nearly 18.5% of these genomic regions contained two to three malt quality traits. Within +/- 250 kb of 81 genomic regions, we recovered 348 barley genes, with some potential impacting malt quality. These include invertase, Beta-fructofuranosidase, alpha-glucosidase, serine carboxypeptidase, and bidirectional sugar transporter SWEET14-like protein. Eighteen of these genes were also previously reported in the Hordeum Toolbox, and 17 of them highly expressed during the germination process. CONCLUSION. The results from this study invite further follow-up functional characterization experiments to relate the genes with individual malt quality traits with higher confidence. It also provides germplasm resources for malt barley improvement. © 2018 Society of Chemical Industry.
External Databases	https://doi.org/10.1002/jsfa.9485
Locus	[ Hide all but 1 of 88 ] S1_21714794 S1_59253845 S1_69357343 S1_184925606 S1_510044507 S1_538077676 S1_538741884 S1_548521147 S1_549612855 S2_23127476 S2_249325732 S2_266365389 S2_619088917 S2_629901682 S2_630944088 S2_631953490 S3_15555407 S3_15726100 S3_23386749 S3_23386761 S3_23807931 S3_82501404 S3_84973901 S3_127857354 S3_293845408 S3_380594550 S3_441150492 S3_506928853 S3_536788263 S3_552407331 S3_598338461 S4_4223668 S4_8676097 S4_75146779 S4_251885977 S4_298828314 S4_376443311 S4_550149614 S4_550664344 S4_606073694 S4_628373131 S4_641587731 S5_111215215 S5_316855289 S5_348069647 S5_367290428 S5_512836225 S5_514310329 S5_567198357 S5_579001400 S5_588947418 S5_595203014 S5_596195278 S5_596268979 S5_605410439 S5_620711279 S5_666428387 S5_666637352 S5_666692842 S5_668680927 S5_669129778 S5_669246470 S6_45109999 S6_47780875 S6_62267235 S6_355674758 S6_421785916 S6_488157462 S6_492752418 S6_502876361 S6_571448074 S6_575735205 S7_345849 S7_11118733 S7_60063733 S7_61262251 S7_62462098 S7_390715535 S7_589469971 S7_589971799 S7_613885225 S7_617447176 S7_619052357 S7_622480360 S7_623432199 S7_627479242 S7_636616815 S7_637362317
QTL	QSP.Bekoji-1H [ Show all 104 ]
Cited in	Du B et al. (2024) Detection of consensus genomic regions and candidate genes for quality traits in barley using QTL meta-analysis Frontiers in Plant Science 14.

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