Genetic linkage maps of two apricot cultivars (Prunus armeniaca L.), and mapping of PPV (sharka) resistance

2002 ◽  
Vol 105 (2) ◽  
pp. 182-191 ◽  
Author(s):  
M. Hurtado ◽  
C. Romero ◽  
S. Vilanova ◽  
A. Abbott ◽  
G. Llácer ◽  
...  
AoB Plants ◽  
2020 ◽  
Vol 12 (6) ◽  
Author(s):  
Morad M Mokhtar ◽  
Ebtissam H A Hussein ◽  
Salah El-Din S El-Assal ◽  
Mohamed A M Atia

Abstract Faba bean (Vicia faba) is an essential food and fodder legume crop worldwide due to its high content of proteins and fibres. Molecular markers tools represent an invaluable tool for faba bean breeders towards rapid crop improvement. Although there have historically been few V. faba genome resources available, several transcriptomes and mitochondrial genome sequence data have been released. These data in addition to previously developed genetic linkage maps represent a great resource for developing functional markers and maps that can accelerate the faba bean breeding programmes. Here, we present the Vicia faba Omics database (VfODB) as a comprehensive database integrating germplasm information, expressed sequence tags (ESTs), expressed sequence tags-simple sequence repeats (EST-SSRs), and mitochondrial-simple sequence repeats (mtSSRs), microRNA-target markers and genetic maps in faba bean. In addition, KEGG pathway-based markers and functional maps are integrated as a novel class of annotation-based markers/maps. Collectively, we developed 31 536 EST markers, 9071 EST-SSR markers and 3023 microRNA-target markers based on V. faba RefTrans V2 mining. By mapping 7940 EST and 2282 EST-SSR markers against the KEGG pathways database we successfully developed 107 functional maps. Also, 40 mtSSR markers were developed based on mitochondrial genome mining. On the data curation level, we retrieved 3461 markers representing 12 types of markers (CAPS, EST, EST-SSR, Gene marker, INDEL, Isozyme, ISSR, RAPD, SCAR, RGA, SNP and SSR), which mapped across 18 V. faba genetic linkage maps. VfODB provides two user-friendly tools to identify, classify SSR motifs and in silico amplify their targets. VfODB can serve as a powerful database and helpful platform for faba bean research community as well as breeders interested in Genomics-Assisted Breeding.


Genetics ◽  
2004 ◽  
Vol 166 (4) ◽  
pp. 1923-1933 ◽  
Author(s):  
Lorinda K Anderson ◽  
Naser Salameh ◽  
Hank W Bass ◽  
Lisa C Harper ◽  
W Z Cande ◽  
...  

Abstract Genetic linkage maps reveal the order of markers based on the frequency of recombination between markers during meiosis. Because the rate of recombination varies along chromosomes, it has been difficult to relate linkage maps to chromosome structure. Here we use cytological maps of crossing over based on recombination nodules (RNs) to predict the physical position of genetic markers on each of the 10 chromosomes of maize. This is possible because (1) all 10 maize chromosomes can be individually identified from spreads of synaptonemal complexes, (2) each RN corresponds to one crossover, and (3) the frequency of RNs on defined chromosomal segments can be converted to centimorgan values. We tested our predictions for chromosome 9 using seven genetically mapped, single-copy markers that were independently mapped on pachytene chromosomes using in situ hybridization. The correlation between predicted and observed locations was very strong (r2 = 0.996), indicating a virtual 1:1 correspondence. Thus, this new, high-resolution, cytogenetic map enables one to predict the chromosomal location of any genetically mapped marker in maize with a high degree of accuracy. This novel approach can be applied to other organisms as well.


2001 ◽  
Vol 102 (6-7) ◽  
pp. 1113-1122 ◽  
Author(s):  
J. Jansen ◽  
A. G. de Jong ◽  
J. W. van Ooijen

Genomics ◽  
1987 ◽  
Vol 1 (2) ◽  
pp. 174-181 ◽  
Author(s):  
Eric S. Lander ◽  
Philip Green ◽  
Jeff Abrahamson ◽  
Aaron Barlow ◽  
Mark J. Daly ◽  
...  

2003 ◽  
Vol 5 (3) ◽  
pp. 279-293 ◽  
Author(s):  
Gideon Khoo ◽  
Meng Huat Lim ◽  
Haridas Suresh ◽  
Damien K. Y. Gan ◽  
Kok Fang Lim ◽  
...  

2013 ◽  
Vol 33 (3) ◽  
pp. 743-748 ◽  
Author(s):  
M. D. Ruiz-Rodriguez ◽  
C. M. Avila ◽  
A. M. Torres ◽  
J. Fuchs ◽  
I. Schubert

Sign in / Sign up

Export Citation Format

Share Document