scholarly journals Genome analysis and avirulence gene cloning using a high-density RADseq linkage map of the flax rust fungus, Melampsora lini

BMC Genomics ◽  
2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Claire Anderson ◽  
Muhammad Adil Khan ◽  
Ann-Maree Catanzariti ◽  
Cameron A. Jack ◽  
Adnane Nemri ◽  
...  
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.


BMC Genomics ◽  
2014 ◽  
Vol 15 (1) ◽  
pp. 823 ◽  
Author(s):  
Sandra Unterseer ◽  
Eva Bauer ◽  
Georg Haberer ◽  
Michael Seidel ◽  
Carsten Knaak ◽  
...  

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 ◽  
...  

Gene ◽  
2019 ◽  
Vol 686 ◽  
pp. 21-28 ◽  
Author(s):  
Lixin Zhai ◽  
Shaolan Yang ◽  
Yingjie Lai ◽  
Di Meng ◽  
Qiaopeng Tian ◽  
...  

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