scholarly journals A High Density Linkage Map Facilitates QTL Mapping of Flowering Time in Brassica rapa

2016 ◽  
Vol 2 (4) ◽  
pp. 217-223 ◽  
Author(s):  
Jing Liu ◽  
Bo Liu ◽  
Feng Cheng ◽  
Jianli Liang ◽  
Xiaowu Wang ◽  
...  
2020 ◽  
Author(s):  
Fazal Rehman ◽  
Haiguang Gong ◽  
Zhong Li ◽  
Shaohua Zeng ◽  
Tianshun Yang ◽  
...  

Abstract Background: Goji (Lycium spp., 2n = 24) is a perennial woody plant bearing functional properties. Fruit size associated attributes are important for evaluating small-fruited goji berry and plant architecture. The domestication traits are regulated quantitatively in crop plants but fewer studies have attempted on genomic regions corresponding to the fruit traits.Results: In this study, we established high-resolution map using SLAF-seq for de novo SNPs detection, based on 305 F1 offspring derived from L. chinense and L. barbarum. This genetic map contained 3,495 SNP markers on 12 LGs, spanning 1,649.03 cM with 0.47 cM average interval. Female and male parents had sequencing depth of 72.43-fold and 60.43-fold, respectively, while 15.23-fold detected for individuals. Phenotype data were obtained for 2 years and included 3rd year data as an average. QTL mapping analysis resulted in 117 QTLs corresponding to all traits, of which 23 QTLs in 2 years and 6 QTLs in 3rd years were detected. 6 promising QTLs, qFW10-3.1, qFL10-2.1, qLL10-2.1, qLD10-2.1, qLD12-4.1 and qLA10-2.1 were discovered influencing fruit weight, fruit length and leaf size related attributes covering an interval ranged 13.74-76.61 cM on LG10 with peak LOD up to 14.21 and PVE 19.3%. Additionally, 3 QTLs, qFS-1, qFS-2 and qFF-1, targeting fruit sweetness and fruit firmness were also identified in this study. Strikingly, among stable QTLs, qFL10-2.1, was co-localized to qLL10-2.1, qLD10-2.1, qLA10-2.1 and harbored significantly similar markers distribution, while qLL10-2.1 was the major and stable QTL with LOD ranged from 8.71-14.21 and PVE 12.3-19.3%. As LG10 harbored most of the fruit and leaf size related QTLs, we might speculate that it could be a hotspot region regulating fruit size and plant architectures.Conclusions: This report highlighted that the high-density linkage map construction using SLAF-seq is an important means for profound QTL mapping approach. Substantially, we utilized highly saturated genetic map to find out genetic locus targeting fruit and leaf size related attributes under QTL mapping. Our results will shed light on domestication traits and further strengthen molecular and genetic underpinnings of goji berry. Moreover, these findings would facilitate to assemble reference genome, determining potential candidate genes and marker-assisted breeding.


Heredity ◽  
2019 ◽  
Vol 123 (5) ◽  
pp. 579-592 ◽  
Author(s):  
Jian-Fang Zuo ◽  
Yuan Niu ◽  
Peng Cheng ◽  
Jian-Ying Feng ◽  
Shi-Feng Han ◽  
...  

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Yu-Juan Zhong ◽  
Yang-Yang Zhou ◽  
Jun-Xing Li ◽  
Ting Yu ◽  
Ting-Quan Wu ◽  
...  

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Waseem Hussain ◽  
P. Stephen. Baenziger ◽  
Vikas Belamkar ◽  
Mary J. Guttieri ◽  
Jorge P. Venegas ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Mohammad Rashed Hossain ◽  
Sathishkumar Natarajan ◽  
Hoy-Taek Kim ◽  
Denison Michael Immanuel Jesse ◽  
Cheol-Gyu Lee ◽  
...  

2021 ◽  
Vol 22 (11) ◽  
pp. 5723
Author(s):  
Yuan-Yuan Xu ◽  
Sheng-Rui Liu ◽  
Zhi-Meng Gan ◽  
Ren-Fang Zeng ◽  
Jin-Zhi Zhang ◽  
...  

A high-density genetic linkage map is essential for genetic and genomic studies including QTL mapping, genome assembly, and comparative genomic analysis. Here, we constructed a citrus high-density linkage map using SSR and SNP markers, which are evenly distributed across the citrus genome. The integrated linkage map contains 4163 markers with an average distance of 1.12 cM. The female and male linkage maps contain 1478 and 2976 markers with genetic lengths of 1093.90 cM and 1227.03 cM, respectively. Meanwhile, a genetic map comparison demonstrates that the linear order of common markers is highly conserved between the clementine mandarin and Poncirus trifoliata. Based on this high-density integrated citrus genetic map and two years of deciduous phenotypic data, two loci conferring leaf abscission phenotypic variation were detected on scaffold 1 (including 36 genes) and scaffold 8 (including 107 genes) using association analysis. Moreover, the expression patterns of 30 candidate genes were investigated under cold stress conditions because cold temperature is closely linked with the deciduous trait. The developed high-density genetic map will facilitate QTL mapping and genomic studies, and the localization of the leaf abscission deciduous trait will be valuable for understanding the mechanism of this deciduous trait and citrus breeding.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Molla F. Mengist ◽  
Hamed Bostan ◽  
Elisheba Young ◽  
Kristine L. Kay ◽  
Nicholas Gillitt ◽  
...  

AbstractFruit quality traits play a significant role in consumer preferences and consumption in blueberry (Vaccinium corymbosum L). The objectives of this study were to construct a high-density linkage map and to identify the underlying genetic basis of fruit quality traits in blueberry. A total of 287 F1 individuals derived from a cross between two southern highbush blueberry cultivars, ‘Reveille’ and ‘Arlen’, were phenotyped over three years (2016–2018) for fruit quality-related traits, including titratable acidity, pH, total soluble solids, and fruit weight. A high-density linkage map was constructed using 17k single nucleotide polymorphisms markers. The linkage map spanned a total of 1397 cM with an average inter-loci distance of 0.08 cM. The quantitative trait loci interval mapping based on the hidden Markov model identified 18 loci for fruit quality traits, including seven loci for fruit weight, three loci for titratable acidity, five loci for pH, and three loci for total soluble solids. Ten of these loci were detected in more than one year. These loci explained phenotypic variance ranging from 7 to 28% for titratable acidity and total soluble solid, and 8–13% for pH. However, the loci identified for fruit weight did not explain more than 10% of the phenotypic variance. We also reported the association between fruit quality traits and metabolites detected by Proton nuclear magnetic resonance analysis directly responsible for these fruit quality traits. Organic acids, citric acid, and quinic acid were significantly (P < 0.05) and positively correlated with titratable acidity. Sugar molecules showed a strong and positive correlation with total soluble solids. Overall, the study dissected the genetic basis of fruit quality traits and established an association between these fruit quality traits and metabolites.


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