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Plant breeding at the speed of light: The power of CRISPR/Cas to generate directed genetic diversity at multiple sites

Wolter, F. 1; Schindele, P. 1; Puchta, H. 1
1 Karlsruher Institut für Technologie (KIT)

Abstract:

Classical plant breeding was extremely successful in generating high yielding crop varieties. Yet, in modern crops, the long domestication process has impoverished the genetic diversity available for breeding. This is limiting further improvements of elite germplasm by classical approaches. The CRISPR/Cas system now enables promising new opportunities to create genetic diversity for breeding in an unprecedented way. Due to its multiplexing ability, multiple targets can be modified simultaneously in an efficient way, enabling immediate pyramiding of multiple beneficial traits into an elite background within one generation. By targeting regulatory elements, a selectable range of transcriptional alleles can be generated, enabling precise fine-tuning of desirable traits. In addition, by targeting homologues of so-called domestication genes within one generation, it is now possible to catapult neglected, semi-domesticated and wild plants quickly into the focus of mainstream agriculture. This further enables the use of the enormous genetic diversity present in wild species or uncultured varieties of crops as a source of allele-mining, widely expanding the crop germplasm pool.


Verlagsausgabe §
DOI: 10.5445/IR/1000095183
Veröffentlicht am 14.06.2019
Originalveröffentlichung
DOI: 10.1186/s12870-019-1775-1
Scopus
Zitationen: 135
Web of Science
Zitationen: 112
Dimensions
Zitationen: 151
Cover der Publikation
Zugehörige Institution(en) am KIT Botanisches Institut (BOTANIK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 1471-2229
KITopen-ID: 1000095183
Erschienen in BMC plant biology
Verlag Springer Fachmedien Wiesbaden
Band 19
Heft 1
Seiten Art. Nr.: 176
Vorab online veröffentlicht am 02.05.2019
Schlagwörter Genome engineering, Plant breeding , CRISPR/Cas, Genetic diversity
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Web of Science
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