Genfunktionen effizient identifizieren mit iPool-seq

Autor:	Philipp Rink, Armin Djamei
Rok vydání:	2020
Předmět:	0303 health sciences biology 030306 microbiology Ustilago Mutant Computational biology biology.organism_classification Human genetics Zea mays Novel gene 03 medical and health sciences Pathosystem Homologous recombination Molecular Biology Gene 030304 developmental biology Biotechnology
Zdroj:	BIOspektrum. 26:504-507
ISSN:	1868-6249 0947-0867
DOI:	10.1007/s12268-020-1446-7
Popis:	Classical gene characterisation using deletion mutants generated by homologous recombination is slow and can only be applied gene for gene. In our studies we established the iPool-seq method in the pathosystem of Ustilago maydis and Zea mays. This method uses parallel insertion sequencing to identify mutants with growth deficiencies under specific conditions. Furthermore, due to adaptability, the iPool-seqcould be capable to identify novel gene functions not only in plant-pathogen-interactions but in a broad range of organisms.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ee640ebc2199186edbf4372147297c9a https://doi.org/10.1007/s12268-020-1446-7 Zobrazit plný text záznamu Full text from SpringerLink