Construction of a genetic linkage map of watermelon (Citrullus lanatus) using CAPS and SSR markers and QTL analysis for fruit quality traits

2016 ◽  
Vol 202 ◽  
pp. 25-31 ◽  
Author(s):  
Yao Cheng ◽  
Feishi Luan ◽  
Xuezheng Wang ◽  
Peng Gao ◽  
Zicheng Zhu ◽  
...  
Keyword(s):  
Linkage Map ◽  
Ssr Markers ◽  
Fruit Quality ◽  
Qtl Analysis ◽  
Genetic Linkage ◽  
Genetic Linkage Map ◽  
Citrullus Lanatus ◽  
Quality Traits ◽  
Fruit Quality Traits

scholarly journals High-density linkage map construction and identification of loci regulating fruit quality traits in blueberry

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Molla F. Mengist ◽  
Hamed Bostan ◽  
Elisheba Young ◽  
Kristine L. Kay ◽  
Nicholas Gillitt ◽  
...  
Keyword(s):  
Linkage Map ◽  
Fruit Quality ◽  
Titratable Acidity ◽  
Fruit Weight ◽  
High Density ◽  
Soluble Solids ◽  
Quality Traits ◽  
Total Soluble Solids ◽  
Fruit Quality Traits ◽  
High Density Linkage Map

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.

The construction of a genetic linkage map of red raspberry (Rubus idaeus subsp. idaeus) based on AFLPs, genomic-SSR and EST-SSR markers

2004 ◽  
Vol 109 (4) ◽  
pp. 740-749 ◽  
Author(s):  
J. Graham ◽  
K. Smith ◽  
K. MacKenzie ◽  
L. Jorgenson ◽  
C. Hackett ◽  
...  
Keyword(s):  
Linkage Map ◽  
Ssr Markers ◽  
Genetic Linkage ◽  
Genetic Linkage Map ◽  
Rubus Idaeus ◽  
Red Raspberry ◽  
Genomic Ssr

The first genetic linkage map of Ricinus communis L. based on genome-SSR markers

2016 ◽  
Vol 89 ◽  
pp. 103-108 ◽  
Author(s):  
Shuai Liu ◽  
Xuegui Yin ◽  
Jiannong Lu ◽  
Chen Liu ◽  
Chuan Bi ◽  
...  
Keyword(s):  
Linkage Map ◽  
Ssr Markers ◽  
Genetic Linkage ◽  
Genetic Linkage Map ◽  
Ricinus Communis ◽  
Ricinus Communis L

Construction of genetic linkage map and identification of QTLs related to agronomic traits in DH population of maize (Zea mays L.) using SSR markers

2019 ◽  
Vol 41 (6) ◽  
pp. 667-678 ◽  
Author(s):  
Jae-Keun Choi ◽  
Kyu Jin Sa ◽  
Dae Hyun Park ◽  
Su Eun Lim ◽  
Si-Hwan Ryu ◽  
...  
Keyword(s):  
Zea Mays ◽  
Linkage Map ◽  
Ssr Markers ◽  
Genetic Linkage ◽  
Genetic Linkage Map ◽  
Zea Mays L ◽  
Agronomic Traits ◽  
Dh Population

A genetic linkage map based on AFLP and SSR markers and mapping of QTL for dry-matter content in sweetpotato

2013 ◽  
Vol 32 (4) ◽  
pp. 807-820 ◽  
Author(s):  
Ning Zhao ◽  
Xiaoxia Yu ◽  
Qin Jie ◽  
Hui Li ◽  
Hua Li ◽  
...  
Keyword(s):  
Linkage Map ◽  
Ssr Markers ◽  
Genetic Linkage ◽  
Dry Matter ◽  
Genetic Linkage Map ◽  
Matter Content ◽  
Dry Matter Content

scholarly journals Construction of a high-density genetic linkage map and QTL analysis for hazelnut breeding

2018 ◽  
pp. 25-30
Author(s):  
D. Torello Marinoni ◽  
N. Valentini ◽  
E. Portis ◽  
A. Acquadro ◽  
C. Beltramo ◽  
...  
Keyword(s):  
Linkage Map ◽  
Qtl Analysis ◽  
Genetic Linkage ◽  
Genetic Linkage Map ◽  
High Density

Construction of a high-density linkage map and QTL analysis for pistil abortion in apricot (Prunus armeniaca L.)

2019 ◽  
Vol 99 (5) ◽  
pp. 599-610
Author(s):  
Junhuan Zhang ◽  
Haoyuan Sun ◽  
Li Yang ◽  
Fengchao Jiang ◽  
Meiling Zhang ◽  
...  
Keyword(s):  
Linkage Map ◽  
Genetic Map ◽  
Qtl Analysis ◽  
Genetic Linkage ◽  
Genetic Linkage Map ◽  
Prunus Armeniaca ◽  
High Density ◽  
Pistil Abortion ◽  
Genomic Study ◽  
Prunus Armeniaca L

A high-density genetic map of apricot (Prunus armeniaca L.) was constructed using an F1 population constructed by crossing two main Chinese cultivars ‘Chuanzhihong’ and ‘Luotuohuang’, coupled with a recently developed reduced representation library (RRL) sequencing. The average sequencing depth was 38.97 in ‘Chuanzhihong’ (female parent), 33.05 in ‘Luotuohuang’ (male parent), and 8.91 in each progeny. Based on the sequencing data, 12 451 polymorphic markers were developed and used in the construction of the genetic linkage map. The final map of apricot comprised eight linkage groups, including 1991 markers, and covered 886.25 cM of the total map length. The average distance between adjacent markers was narrowed to 0.46 cM. Gaps larger than 5 cM only accounted for <0.33%. To our knowledge, this map is the densest genetic linkage map that is currently available for apricot research. It is a valuable linkage map for quantitative trait loci (QTLs) identification of important agronomic traits. Moreover, the high marker density and well-ordered markers that this linkage map provides will be useful for molecular breeding of apricot as well. In this study, we applied this map in the QTL analysis of an important agronomic trait, pistil abortion. Several QTLs were detected and mapped respectively to the middle regions of LG5 (51.005∼59.4 cM) and LG6 (72.884∼76.562 cM), with nine SLAF markers closely linked to pistil abortion. The high-density genetic map and QTLs detected in this study will facilitate marker-assisted breeding and apricot genomic study.

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