scholarly journals The construction of a high-density linkage map for identifying SNP markers that are tightly linked to a nuclear-recessive major gene for male sterility in Cryptomeria japonica D. Don

BMC Genomics ◽  
2012 ◽  
Vol 13 (1) ◽  
pp. 95 ◽  
Author(s):  
Yoshinari Moriguchi ◽  
Tokuko Ujino-Ihara ◽  
Kentaro Uchiyama ◽  
Norihiro Futamura ◽  
Maki Saito ◽  
...  
2021 ◽  
Vol 12 ◽  
Author(s):  
Xinpeng Qi ◽  
Elizabeth L. Ogden ◽  
Hamed Bostan ◽  
Daniel J. Sargent ◽  
Judson Ward ◽  
...  

Genotyping by sequencing approaches have been widely applied in major crops and are now being used in horticultural crops like berries and fruit trees. As the original and largest producer of cultivated blueberry, the United States maintains the most diverse blueberry germplasm resources comprised of many species of different ploidy levels. We previously constructed an interspecific mapping population of diploid blueberry by crossing the parent F1#10 (Vaccinium darrowii Fla4B × diploid V. corymbosum W85–20) with the parent W85–23 (diploid V. corymbosum). Employing the Capture-Seq technology developed by RAPiD Genomics, with an emphasis on probes designed in predicted gene regions, 117 F1 progeny, the two parents, and two grandparents of this population were sequenced, yielding 131.7 Gbp clean sequenced reads. A total of 160,535 single nucleotide polymorphisms (SNPs), referenced to 4,522 blueberry genome sequence scaffolds, were identified and subjected to a parent-dependent sliding window approach to further genotype the population. Recombination breakpoints were determined and marker bins were deduced to construct a high density linkage map. Twelve blueberry linkage groups (LGs) consisting of 17,486 SNP markers were obtained, spanning a total genetic distance of 1,539.4 cM. Among 18 horticultural traits phenotyped in this population, quantitative trait loci (QTLs) that were significant over at least 2 years were identified for chilling requirement, cold hardiness, and fruit quality traits of color, scar size, and firmness. Interestingly, in 1 year, a QTL associated with timing of early bloom, full bloom, petal fall, and early green fruit was identified in the same region harboring the major QTL for chilling requirement. In summary, we report here the first high density bin map of a diploid blueberry mapping population and the identification of several horticulturally important QTLs.


2016 ◽  
Vol 12 (3) ◽  
Author(s):  
Yoshinari Moriguchi ◽  
Kentaro Uchiyama ◽  
Saneyoshi Ueno ◽  
Tokuko Ujino-Ihara ◽  
Asako Matsumoto ◽  
...  

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.


2013 ◽  
Vol 31 (4) ◽  
pp. 909-920 ◽  
Author(s):  
Toru Sugita ◽  
Yukari Semi ◽  
Hiromasa Sawada ◽  
Yumi Utoyama ◽  
Yuko Hosomi ◽  
...  

BMC Genomics ◽  
2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Zaijun Yang ◽  
Zhenyong Chen ◽  
Zhengsong Peng ◽  
Yan Yu ◽  
Mingli Liao ◽  
...  

2017 ◽  
Vol 17 (S1) ◽  
Author(s):  
Anatoly V. Zhigunov ◽  
Pavel S. Ulianich ◽  
Marina V. Lebedeva ◽  
Peter L. Chang ◽  
Sergey V. Nuzhdin ◽  
...  

2005 ◽  
Vol 110 (4) ◽  
pp. 754-765 ◽  
Author(s):  
N. Billotte ◽  
N. Marseillac ◽  
A.-M. Risterucci ◽  
B. Adon ◽  
P. Brottier ◽  
...  

2019 ◽  
Vol 251 ◽  
pp. 59-64 ◽  
Author(s):  
Shinji Fukuda ◽  
Yukio Nagano ◽  
Kimitaka Matsuguma ◽  
Keiichiro Ishimoto ◽  
Naofumi Hiehata ◽  
...  

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