Herbicide targets and detoxification proteins in sugarcane: from gene assembly to structure modelling.

Autor: Lloyd Evans D; a South African Sugarcane Research Institute, 170 Flanders Drive, Private Bag X02, Mount Edgecombe, Durban, 4300, South Africa.; b School of Life Sciences, College of Agriculture, Engineering and Science, University of Kwa-Zulu Natal, Private Bag X54001, Durban, 4000, South Africa., Joshi SV; a South African Sugarcane Research Institute, 170 Flanders Drive, Private Bag X02, Mount Edgecombe, Durban, 4300, South Africa.; b School of Life Sciences, College of Agriculture, Engineering and Science, University of Kwa-Zulu Natal, Private Bag X54001, Durban, 4000, South Africa.
Jazyk: angličtina
Zdroj: Genome [Genome] 2017 Jul; Vol. 60 (7), pp. 601-617. Date of Electronic Publication: 2017 Apr 26.
DOI: 10.1139/gen-2016-0152
Abstrakt: In a genome context, sugarcane is a classic orphan crop, in that no genome and only very few genes have been assembled. We have devised a novel exome assembly methodology that has allowed us to assemble and characterize 49 genes that serve as herbicide targets, safener interacting proteins, and members of herbicide detoxification pathways within the sugarcane genome. We have structurally modelled the products of each of these genes, as well as determining allelic, genomic, and RNA-Seq based polymorphisms for each gene. This study provides the largest collection of sugarcane structures modelled to date. We demonstrate that sugarcane genes are highly polymorphic, revealing that each genotype is evolving both uniquely and independently. In addition, we present an exome assembly system for orphan crops that can be executed on commodity infrastructure, making exome assembly practical for any group. In terms of knowledge about herbicide modes of action and detoxification, we have advanced sugarcane from a crop where no information about any herbicide-associated gene was available to the situation where sugarcane is now a species with the single largest collection of known and annotated herbicide-associated genes.
Databáze: MEDLINE