scholarly journals Construction of a high density genetic map for hexaploid kiwifruit (Actinidia chinensis var. deliciosa) using genotyping by sequencing

Author(s):  
Elizabeth Popowski ◽  
Susan J Thomson ◽  
Mareika Knäbel ◽  
Jibran Tahir ◽  
Ross N Crowhurst ◽  
...  

Abstract Commercially grown kiwifruit (genus Actinidia) are generally of two sub-species which have a base haploid genome of 29 chromosomes. The yellow-fleshed A. chinensis var. chinensis, is either diploid (2n = 2x = 58) or tetraploid (2n = 4x = 116) and the green-fleshed cultivar A. chinensis var. deliciosa ‘Hayward’, is hexaploid (2n = 6x = 174). Advances in breeding green kiwifruit could be greatly sped up by the use of molecular resources for more efficient and faster selection, for example using marker-assisted selection (MAS). The key genetic marker that has been implemented for MAS in hexaploid kiwifruit is for gender testing. Limited marker-trait association has been reported for other polyploid kiwifruit for fruit and production traits. We have constructed a high density linkage map for hexaploid green kiwifruit using genotyping-by-sequence (GBS). The linkage map obtained consists of 3,686 and 3,940 markers organized in 183 and 176 linkage groups for the female and male parents, respectively. Both parental linkage maps are co-linear with the A. chinensis ‘Red5’ reference genome of kiwifruit. The linkage map was then used for quantitative trait locus (QTL) mapping, and successfully identified QTLs for king flower number, fruit number and weight, dry matter accumulation and storage firmness. These are the first QTLs to be reported and discovered for complex traits in hexaploid kiwifruit.

2016 ◽  
Vol 9 (2) ◽  
Author(s):  
Somashekhar M. Punnuri ◽  
Jason G. Wallace ◽  
Joseph E. Knoll ◽  
Katie E. Hyma ◽  
Sharon E. Mitchell ◽  
...  

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

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 ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document