Articles
GUAVA BIOTECHNOLOGIES, GENOMIC ACHIEVEMENTS AND FUTURE NEEDS
Article number
959_16
Pages
131 – 140
Language
English
Abstract
Compared to other crops, genomic studies in guava have been neglected to some extend in the past and are still in infancy.
Some important genomic resources were generated within the EU-Project Improvement of guava: Linkage mapping and QTL analysis as a basis for marker-assisted selection. Within this project SSR markers for Psidium guajava were developed massively.
These were used to characterize guava germplasm collections in different countries at the molecular level.
A COS library was established in guava.
MADS-, HOMEO-box and RGL sequences were identified in this library.
On the other hand linkage maps were constructed in different genetic backgrounds and QTL analyses for several useful traits were conducted.
Individual and combined parental linkage maps were constructed in three mapping populations based on AFLP, SSR and COS markers.
These population maps contain 850, 427 and 408 markers, respectively and have lengths between 1500 and 2200 cM. A partial alignment of the maps was possible based on common SSR markers mapped in different populations.
In addition QTL analyses were performed in these populations.
The traits for QTL analysis include morphological, productive and quality traits.
Over 100 QTLs were detected for the different characters in the three populations.
Common SSR markers analysed in several populations allowed partial alignments of maps and comparative QTL analyses.
On the other hand genomic sequence resources at NCBI are scarce for guava.
A general strategy is presented on how to increase rapidly and cost efficiently these available resources.
The whole genome sequence of Eucalyptus grandis (EG, Myrtaceae) can be used for co-location analyses between QTL and potential candidate genes by anchoring sequenced map markers to EG scaffolds.
Additional EST sequencing and RAD markers would increase considerably the efficiency of this approach.
Future perspectives provided by association mapping combined with NGS technologies are discussed.
Some important genomic resources were generated within the EU-Project Improvement of guava: Linkage mapping and QTL analysis as a basis for marker-assisted selection. Within this project SSR markers for Psidium guajava were developed massively.
These were used to characterize guava germplasm collections in different countries at the molecular level.
A COS library was established in guava.
MADS-, HOMEO-box and RGL sequences were identified in this library.
On the other hand linkage maps were constructed in different genetic backgrounds and QTL analyses for several useful traits were conducted.
Individual and combined parental linkage maps were constructed in three mapping populations based on AFLP, SSR and COS markers.
These population maps contain 850, 427 and 408 markers, respectively and have lengths between 1500 and 2200 cM. A partial alignment of the maps was possible based on common SSR markers mapped in different populations.
In addition QTL analyses were performed in these populations.
The traits for QTL analysis include morphological, productive and quality traits.
Over 100 QTLs were detected for the different characters in the three populations.
Common SSR markers analysed in several populations allowed partial alignments of maps and comparative QTL analyses.
On the other hand genomic sequence resources at NCBI are scarce for guava.
A general strategy is presented on how to increase rapidly and cost efficiently these available resources.
The whole genome sequence of Eucalyptus grandis (EG, Myrtaceae) can be used for co-location analyses between QTL and potential candidate genes by anchoring sequenced map markers to EG scaffolds.
Additional EST sequencing and RAD markers would increase considerably the efficiency of this approach.
Future perspectives provided by association mapping combined with NGS technologies are discussed.
Authors
E. Ritter
Keywords
AFLP, SSR, Psidium guajava, Myrtaceae, linkage maps, QTL, EST sequencing, RAD markers, association mapping
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