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Deciphering the Genetics of Major End-Use Quality Traits in Wheat

Sepehr Mohajeri Naraghi, Senay Simsek, Ajay Kumar, S.M. Hisam Al Rabbi, Mohammed S. Alamri, Elias M. Elias, Mohamed Mergoum
doi: https://doi.org/10.1101/540831
Sepehr Mohajeri Naraghi
*Department of Plant Sciences, North Dakota State University, Fargo, ND 58108
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Senay Simsek
*Department of Plant Sciences, North Dakota State University, Fargo, ND 58108
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Ajay Kumar
*Department of Plant Sciences, North Dakota State University, Fargo, ND 58108
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S.M. Hisam Al Rabbi
*Department of Plant Sciences, North Dakota State University, Fargo, ND 58108
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Mohammed S. Alamri
†Arizona Plant Breeders Inc., Casa Grande, AZ 85122 Department of Food Sciences and Nutrition, King Saud University, Riyadh 11451, Saudi Arabia
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Elias M. Elias
*Department of Plant Sciences, North Dakota State University, Fargo, ND 58108
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Mohamed Mergoum
‡Department of Crop and Soil Sciences, Redding Building #262, 1109 Experiment Street, Griffin, GA 30223-1797
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Abstract

Improving the end-use quality traits is one of the primary objectives in wheat breeding programs. In the current study, a population of 127 recombinant inbred lines (RILs) derived from a cross between Glenn (PI-639273) and Traverse (PI-642780) was developed and used to identify quantitative trait loci (QTL) for 16 end-use quality traits in wheat. The phenotyping of these 16 traits was performed in nine environments in North Dakota, USA. The genotyping for the RIL population was conducted using the wheat Illumina iSelect 90K SNP assay. A high-density genetic linkage map consisting of 7,963 SNP markers identified a total of 76 additive QTL (A-QTL) and 73 digenic epistatic QTL (DE-QTL) associated with these traits. Overall, 12 stable major A-QTL and three stable DE-QTL were identified for these traits, suggesting that both A-QTL and DE-QTL played an important role in controlling end-use quality traits in wheat. The most significant A-QTL (AQ.MMLPT.ndsu.1B) was detected on chromosome 1B for mixograph middle line peak time. The AQ.MMLPT.ndsu.1B A-QTL was located very close to the position of the Glu-B1 gene encoding for a subunit of high molecular weight glutenin and explained up to 24.43% of phenotypic variation for mixograph MID line peak time. A total of 23 co-localized QTL loci were detected, suggesting the possibility of the simultaneous improvement of the end-use quality traits through selection procedures in wheat breeding programs. Overall, the information provided in this study could be used in marker-assisted selection to increase selection efficiency and to improve the end-use quality in wheat.

Abbreviations
AACCI
American Association of Cereal Chemists International
A-QTL
additive QTL
BA
baking absorption
BLV
bread loaf volume
BLUP
best linear unbiased predictor
BMT
bake-mixing time
CBCL
crumb color
CTCL
crust color
cM
centimorgans
DArT
diversity arrays technology
DE-QTL
digenic epistatic QTL
DO
dough character
FE
flour extraction
FHB
Fusarium head blight
GPC
grain protein content
HMW
high molecular weight
HRSW
hard red spring wheat
ICIM-ADD
inclusive composite interval mapping with additive effects
ICIM-EPI
inclusive composite interval mapping of epistatic QTL
LMW
low molecular weight
MAS
marker-assisted selection
MELS
mixograph envelope left slope
MERS
mixograph envelope right slope
MMLPI
mixograph MID line peak integral
MMLPT
mixograph MID line peak time
MMLPV
mixograph MID line peak value
MMLPW
mixograph MID line peak width
MMLTV
mixograph MID line time * value
MIXOPA
general mixograph pattern
NDSU
North Dakota State University
NIR
near-infrared reflectance
PPM
parts per million
PV
phenotypic variation
QTL
quantitative trait loci
RCBD
randomized complete block design
RFLP
restriction fragment length polymorphisms
REML
restricted maximum likelihood
SSD
single seed descent
SKB
Sandstedt, Kneen, and Blish

Footnotes

  • ↵1 Sepehr Mohajeri Naraghi1, PhD in Plant Breeding and Genetics. Department of Plant Sciences at North Dakota State University, Fargo, ND, 58102. Email: Sepehr.mohajerinarag{at}ndsu.edu

  • 2 Senay Simsek, PhD in Food Science. Department of Plant Sciences at North Dakota State University, Fargo, ND, 58102. Email: Senay.Simsek{at}ndsu.edu

  • 3 Ajay Kumar, PhD in Genetics and Plant Breeding. Department of Plant Sciences at North Dakota State University, Fargo, ND, 58102. Email: ajay.kumar.2{at}ndsu.edu

  • 4 S.M. Hisam Al Rabbi, PhD in Plant Breeding and Genetics. Department of Plant Sciences at North Dakota State University, Fargo, ND, 58102. Email: smhisam.rabbi{at}ndus.edu

  • 5 Mohammed S. Alamri, PhD in Cereal and Food Sciences. Department of Food Sciences and Nutrition,College of Food and Agriculture Sciences, King Saud University. P. O. Box 2460 Riyadh 11451 Saudi Arabia. Email: msalamri{at}ksu.edu.sa

  • 6 Elias. M. Elias. PhD in Plant Breeding and Genetics. Department of Plant Sciences at North Dakota State University, Fargo, ND, 58102. Email: Elias.Elias{at}ndsu.edu

  • 7 Mohamed Mergoum, PhD in Plant Breeding and Genetics. Department of Crop and Soil Sciences, Redding Building #262, 1109 Experiment Street, Griffin, GA 30223-1797. Email: mmergoum{at}uga.edu

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted February 05, 2019.
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Deciphering the Genetics of Major End-Use Quality Traits in Wheat
Sepehr Mohajeri Naraghi, Senay Simsek, Ajay Kumar, S.M. Hisam Al Rabbi, Mohammed S. Alamri, Elias M. Elias, Mohamed Mergoum
bioRxiv 540831; doi: https://doi.org/10.1101/540831
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Deciphering the Genetics of Major End-Use Quality Traits in Wheat
Sepehr Mohajeri Naraghi, Senay Simsek, Ajay Kumar, S.M. Hisam Al Rabbi, Mohammed S. Alamri, Elias M. Elias, Mohamed Mergoum
bioRxiv 540831; doi: https://doi.org/10.1101/540831

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