scholarly journals Quantitative trait loci analysis of seed oil content and composition of wild and cultivated soybean

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yanjie Yao ◽  
Qingbo You ◽  
Guozhan Duan ◽  
Jianjun Ren ◽  
Shanshan Chu ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Oil Content ◽  
Seed Oil ◽  
Seed Oil Content ◽  
Trait Loci ◽  
Cultivated Soybean

Identification of quantitative trait loci associated with oil content and development of near isogenic lines for stable qOC-A10 in Brasscia napus L.

2016 ◽  
Vol 96 (3) ◽  
pp. 423-432 ◽  
Author(s):  
Xiaomao Cheng ◽  
Shu Xia ◽  
Xihua Zeng ◽  
Jianxun Gu ◽  
Yuan Yang ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Oil Content ◽  
Seed Oil ◽  
Seed Quality ◽  
Quality Trait ◽  
Near Isogenic Lines ◽  
Seed Oil Content ◽  
Isogenic Lines ◽  
Trait Loci

Seed oil content is a key seed quality trait determining the economic value of rapeseed (Brassica napus L.). However, it is a complex quantitative trait controlled by multiple genes. To this point, its genetic mechanism in rapeseed remains to be revealed. In the present study, we separately identified the quantitative trait loci (QTL) controlling seed oil content of B. napus using three generations of recombinant inbred line (RIL) populations (F4:5, F5:6, and F6:7) derived from a cross of two contrasting parents (M201, a high-oil parent, and M202, a low-oil parent) in four trials. The results indicated that the additive effects may be the primary factors contributing to the variation in seed oil content in B. napus. A total of 15 QTL for seed oil content were mapped. Two of them, namely qOC-A9-3 and qOC-A10, were consistently detected across two and all four environments, respectively. Meanwhile, qOC-A10 showed a large effect on phenotypic variation in seed oil content. The stability and significance of qOC-A10 was also validated in the near isogenic lines (NILs-qOC-A10) developed from the RIL population (F4:5) using marker-assisted selection. The qOC-A10 is of particular interest for further fine mapping and map-based cloning.

scholarly journals Quantitative Trait Loci Affecting Oil Content, Oil Composition, and Other Agronomically Important Traits in Oat

2012 ◽  
Vol 5 (3) ◽  
Author(s):  
Biniam T. Hizbai ◽  
K. M. Gardner ◽  
C. P. Wight ◽  
R. K. Dhanda ◽  
S. J. Molnar ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Oil Content ◽  
Oil Composition ◽  
Trait Loci ◽  
Agronomically Important Traits

Genetic Analysis of Quantitative Trait Loci for Groat Protein and Oil Content in Oat

Crop Science ◽  
2004 ◽  
Vol 44 (1) ◽  
pp. 254-260 ◽  
Author(s):  
S. Zhu ◽  
B. G. Rossnagel ◽  
H. F. Kaeppler
Keyword(s):  
Quantitative Trait Loci ◽  
Genetic Analysis ◽  
Quantitative Trait ◽  
Oil Content ◽  
Trait Loci

scholarly journals Mapping of the Egusi Seed Trait Locus (eg) and Quantitative Trait Loci Associated with Seed Oil Percentage in Watermelon

2012 ◽  
Vol 137 (5) ◽  
pp. 311-315 ◽  
Author(s):  
Jason Prothro ◽  
Katherine Sandlin ◽  
Rattandeep Gill ◽  
Eleni Bachlava ◽  
Victoria White ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Seed Oil ◽  
Citrullus Lanatus ◽  
Recessive Gene ◽  
Phenotypic Trait ◽  
Single Recessive Gene ◽  
Seed Trait ◽  
Oil Percentage ◽  
Trait Loci

The egusi watermelon (Citrullus lanatus) is popular in West Africa for its oil and protein-rich seed, which is consumed in soups and stews. The egusi phenotypic trait is controlled by a single recessive gene (eg) and is characterized by large seed size and fleshy, thick pericarp. An F2 mapping population was derived from Strain II (PI 279461) of the Japanese cultivar Yamato-cream with normal seed type and low seed oil percentage (SOP = 25.2%) and an egusi type from Nigeria [Egusi (PI 560023)] with high SOP (40.6%). Genetic analysis confirmed that the egusi seed trait is controlled by a single recessive gene (eg) and the location of the gene was mapped to 57.8 cM on linkage group (LG) 2, between markers NW0248325 and NW0250248. Four main quantitative trait loci (M-QTL) were identified for SOP in the population with the eg locus contributing 84% of the explained phenotypic variation (R2). A significant epistatic interaction (E-QTL) was identified between, the eg locus and an M-QTL on LG 9B. The present study reports the location of the eg locus responsible for the egusi seed trait in watermelon on LG 2 as well as M-QTL and E-QTL associated with SOP.

scholarly journals Quantitative Trait Loci Associated with Moisture, Protein, and Oil Content in Soybean [Glycine max (L.) Merr.]

2012 ◽  
Vol 4 (11) ◽  
Author(s):  
ASM G. Masum Akond ◽  
Bobby Ragin ◽  
Richard Bazzelle ◽  
Stella K. Kantartzi ◽  
Khalid Meksem ◽  
...  
Keyword(s):  
Glycine Max ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Oil Content ◽  
Trait Loci ◽  
Glycine Max L

Combining quantitative trait locus and co-expression analysis allowed identification of new candidates for oil accumulation in rapeseed

2020 ◽  
Author(s):  
Yixin Cui ◽  
Xiao Zeng ◽  
Qing Xiong ◽  
Dayong Wei ◽  
Jinghang Liao ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
Carbon Metabolism ◽  
Quantitative Trait ◽  
Oil Content ◽  
Seed Oil ◽  
Seed Oil Content ◽  
The Core ◽  
New Genes ◽  
Acyl Lipid ◽  
Core Module

Abstract In crops there are quantitative trait loci (QTLs) in which some of the causal quantitative trait genes (QTGs) have not been functionally characterized even in the model plant Arabidopsis. We propose an approach to delineate QTGs in rapeseed by coordinating expression of genes located within QTLs and known orthologs related to traits from Arabidopsis. Using this method in developing siliques 15 d after pollination in 71 lines of rapeseed, we established an acyl-lipid metabolism co-expression network with 21 modules composed of 270 known acyl-lipid genes and 3503 new genes. The core module harbored 76 known genes involved in fatty acid and triacylglycerol biosynthesis and 671 new genes involved in sucrose transport, carbon metabolism, amino acid metabolism, seed storage protein processes, seed maturation, and phytohormone metabolism. Moreover, the core module closely associated with the modules of photosynthesis and carbon metabolism. From the co-expression network, we selected 12 hub genes to identify their putative Arabidopsis orthologs. These putative orthologs were functionally analysed using Arabidopsis knockout and overexpression lines. Four knockout mutants exhibited lower seed oil content, while the seed oil content in 10 overexpression lines was significantly increased. Therefore, combining gene co-expression network analysis and QTL mapping, this study provides new insights into the detection of QTGs and into acyl-lipid metabolism in rapeseed.

Identification of quantitative trait loci underlying seed oil content of soybean including main, epistatic and QTL×environment effects in different regions of Northeast China

2017 ◽  
Vol 68 (7) ◽  
pp. 625 ◽  
Author(s):  
Weili Teng ◽  
Binbin Zhang ◽  
Qi Zhang ◽  
Wen Li ◽  
Depeng Wu ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Oil Content ◽  
Recombinant Inbred Lines ◽  
Soybean Seed ◽  
Environment Interaction ◽  
Additive Effects ◽  
Linkage Groups ◽  
Soybean Breeding ◽  
Trait Loci

Oil content is a primary trait in soybean and determines the quality of soy food, feed and oil product. Increasing oil content is a major objective of soybean breeding. The aims of the present study were to identify quantitative trait loci (QTLs) and epistatic QTLs associated with oil content in soybean seed by using 129 recombinant inbred lines derived from a cross between cultivar Dongnong 46 (oil content 22.53%) and the semi-wild line L-100 (oil content 17.33%). Phenotypic data were collected from 10 tested environments including Harbin in the years 2012–15, Hulan in 2013–15 and Acheng in 2013–15. A genetic linkage map including 213 simple sequence repeat markers in 18 chromosomes (or linkage groups) was constructed, covering ~3623.39 cM. Seven QTLs, located on five chromosomes (or linkage groups), were identified to be associated with oil content, explaining 2.24–17.54% of the phenotypic variation in multi-environments. Among these identified QTLs, five (qOIL-2, qOIL-4, qOIL-5, qOIL-6 and qOIL-7) were detected in more than five environments. Seven QTLs had additive and/or additive × environment interaction effects. QTLs with higher additive effects were more stable in multi-environments than those with lower additive effects. Moreover, five epistatic, pairwise QTLs were identified in different environments. The findings with respect to genetic architecture for oil content could be valuable for marker-assisted selection in soybean breeding programs for high oil content.

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