Mapping of quantitative trait loci controlling adaptive traits in coastal Douglas-fir. IV. Cold-hardiness QTL verification and candidate gene mapping

2005 ◽  
Vol 15 (2) ◽  
pp. 145-156 ◽  
Author(s):  
Nicholas C. Wheeler ◽  
Kathleen D. Jermstad ◽  
Konstantin Krutovsky ◽  
Sally N. Aitken ◽  
Glenn T. Howe ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Gene Mapping ◽  
Candidate Gene ◽  
Quantitative Trait ◽  
Cold Hardiness ◽  
Douglas Fir ◽  
Adaptive Traits ◽  
Trait Loci ◽  
Candidate Gene Mapping ◽  
Qtl Verification

Mapping of quantitative trait loci controlling adaptive traits in coastal Douglas-fir. II. Spring and fall cold-hardiness

2001 ◽  
Vol 102 (8) ◽  
pp. 1152-1158 ◽  
Author(s):  
K. D. Jermstad ◽  
D. L. Bassoni ◽  
N. C. Wheeler ◽  
T. S. Anekonda ◽  
S. N. Aitken ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Cold Hardiness ◽  
Douglas Fir ◽  
Adaptive Traits ◽  
Trait Loci

scholarly journals Quantitative trait loci and candidate gene mapping of aluminum tolerance in diploid alfalfa

2007 ◽  
Vol 114 (5) ◽  
pp. 901-913 ◽  
Author(s):  
B. Narasimhamoorthy ◽  
J. H. Bouton ◽  
K. M. Olsen ◽  
M. K. Sledge
Keyword(s):  
Quantitative Trait Loci ◽  
Gene Mapping ◽  
Candidate Gene ◽  
Quantitative Trait ◽  
Aluminum Tolerance ◽  
Trait Loci ◽  
Candidate Gene Mapping

scholarly journals Mapping of Quantitative Trait Loci Controlling Adaptive Traits in Coastal Douglas Fir. III. Quantitative Trait Loci-by-Environment Interactions

Genetics ◽  
2003 ◽  
Vol 165 (3) ◽  
pp. 1489-1506
Author(s):  
Kathleen D Jermstad ◽  
Daniel L Bassoni ◽  
Keith S Jech ◽  
Gary A Ritchie ◽  
Nicholas C Wheeler ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Complex Traits ◽  
Moisture Stress ◽  
Interval Mapping ◽  
Douglas Fir ◽  
Adaptive Traits ◽  
Growth Cessation ◽  
Trait Loci ◽  
Growth Initiation

Abstract Quantitative trait loci (QTL) were mapped in the woody perennial Douglas fir (Pseudotsuga menziesii var. menziesii [Mirb.] Franco) for complex traits controlling the timing of growth initiation and growth cessation. QTL were estimated under controlled environmental conditions to identify QTL interactions with photoperiod, moisture stress, winter chilling, and spring temperatures. A three-generation mapping population of 460 cloned progeny was used for genetic mapping and phenotypic evaluations. An all-marker interval mapping method was used for scanning the genome for the presence of QTL and single-factor ANOVA was used for estimating QTL-by-environment interactions. A modest number of QTL were detected per trait, with individual QTL explaining up to 9.5% of the phenotypic variation. Two QTL-by-treatment interactions were found for growth initiation, whereas several QTL-by-treatment interactions were detected among growth cessation traits. This is the first report of QTL interactions with specific environmental signals in forest trees and will assist in the identification of candidate genes controlling these important adaptive traits in perennial plants.

Mapping of quantitative trait loci controlling adaptive traits in coastal Douglas-fir. I. Timing of vegetative bud flush

2001 ◽  
Vol 102 (8) ◽  
pp. 1142-1151 ◽  
Author(s):  
K. D. Jermstad ◽  
D. L. Bassoni ◽  
K. S. Jech ◽  
N. C. Wheeler ◽  
D. B. Neale
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Douglas Fir ◽  
Adaptive Traits ◽  
Trait Loci ◽  
Vegetative Bud

scholarly journals Novel Quantitative Trait Loci for Grain Cadmium Content Identified in Hard White Spring Wheat

2021 ◽  
Vol 12 ◽  
Author(s):  
Ling Qiao ◽  
Justin Wheeler ◽  
Rui Wang ◽  
Kyle Isham ◽  
Natalie Klassen ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Candidate Gene ◽  
Spring Wheat ◽  
Quantitative Trait ◽  
Field Trials ◽  
Cadmium Content ◽  
Wheat Population ◽  
Trait Loci ◽  
Multiple Field ◽  
First Time

Cadmium (Cd) is a heavy metal that can cause a variety of adverse effects on human health, including cancer. Wheat comprises approximately 20% of the human diet worldwide; therefore, reducing the concentrations of Cd in wheat grain will have significant impacts on the intake of Cd in food products. The tests for measuring the Cd content in grain are costly, and the content is affected significantly by soil pH. To facilitate breeding for low Cd content, this study sought to identify quantitative trait loci (QTL) and associated molecular markers that can be used in molecular breeding. One spring wheat population of 181 doubled haploid lines (DHLs), which was derived from a cross between two hard white spring wheat cultivars “UI Platinum” (UIP) and “LCS Star” (LCS), was assessed for the Cd content in grain in multiple field trials in Southeast Idaho, United States. Three major QTL regions, namely, QCd.uia2-5B, QCd.uia2-7B, and QCd.uia2-7D, were identified on chromosomes 5B, 7B, and 7D, respectively. All genes in these three QTL regions were identified from the NCBI database. However, three genes related to the uptake and transport of Cd were used in the candidate gene analysis. The sequences of TraesCS5B02G388000 (TaHMA3) in the QCd.uia2-5B region and TraesCS7B02G320900 (TaHMA2) and TraesCS7B02G322900 (TaMSRMK3) in the QCd.uia2-7B region were compared between UIP and LCS. TaHMA2 on 7B is proposed for the first time as a candidate gene for grain Cd content in wheat. A KASP marker associated with this gene was developed and it will be further validated in near-isogenic lines via a gene-editing system in future studies.

Novel quantitative trait loci for central corneal thickness identified by candidate gene analysis of osteogenesis imperfecta genes

2009 ◽  
Vol 127 (1) ◽  
pp. 33-44 ◽  
Author(s):  
David P. Dimasi ◽  
Jern Y. Chen ◽  
Alex W. Hewitt ◽  
Sonja Klebe ◽  
Richard Davey ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Osteogenesis Imperfecta ◽  
Candidate Gene ◽  
Quantitative Trait ◽  
Central Corneal Thickness ◽  
Corneal Thickness ◽  
Gene Analysis ◽  
Candidate Gene Analysis ◽  
Trait Loci

scholarly journals A candidate gene survey of quantitative trait loci affecting chemical composition in tomato fruit

2008 ◽  
Vol 59 (10) ◽  
pp. 2875-2890 ◽  
Author(s):  
L. Bermúdez ◽  
U. Urias ◽  
D. Milstein ◽  
L. Kamenetzky ◽  
R. Asis ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Quantitative Trait Loci ◽  
Candidate Gene ◽  
Quantitative Trait ◽  
Tomato Fruit ◽  
Trait Loci

scholarly journals Identification of Candidate Cotton Genes Associated With Fiber Length Through Quantitative Trait Loci Mapping and RNA-Sequencing Using a Chromosome Segment Substitution Line

2021 ◽  
Vol 12 ◽  
Author(s):  
Quanwei Lu ◽  
Xianghui Xiao ◽  
Juwu Gong ◽  
Pengtao Li ◽  
Yan Zhao ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Candidate Gene ◽  
Quantitative Trait ◽  
Fiber Length ◽  
Fiber Quality ◽  
Substitution Line ◽  
Chromosome Segment ◽  
Chromosome Segment Substitution Line ◽  
Trait Loci ◽  
Segment Substitution

Fiber length is an important determinant of fiber quality, and it is a quantitative multi-genic trait. Identifying genes associated with fiber length is of great importance for efforts to improve fiber quality in the context of cotton breeding. Integrating transcriptomic information and details regarding candidate gene regions can aid in candidate gene identification. In the present study, the CCRI45 line and a chromosome segment substitution line (CSSL) with a significantly higher fiber length (MBI7747) were utilized to establish F2 and F2:3 populations. Using a high-density genetic map published previously, six quantitative trait loci (QTLs) associated with fiber length and two QTLs associated with fiber strength were identified on four chromosomes. Within these QTLs, qFL-A07-1, qFL-A12-2, qFL-A12-5, and qFL-D02-1 were identified in two or three environments and confirmed by a meta-analysis. By integrating transcriptomic data from the two parental lines and through qPCR analyses, four genes associated with these QTLs including Cellulose synthase-like protein D3 (CSLD3, GH_A12G2259 for qFL-A12-2), expansin-A1 (EXPA1, GH_A12G1972 for qFL-A12-5), plasmodesmata callose-binding protein 3 (PDCB3, GH_A12G2014 for qFL-A12-5), and Polygalacturonase (At1g48100, GH_D02G0616 for qFL-D02-1) were identified as promising candidate genes associated with fiber length. Overall, these results offer a robust foundation for further studies regarding the molecular basis for fiber length and for efforts to improve cotton fiber quality.

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