Martin Laforest1, Sara L Martin2, Katherine Bisaillon1, Brahim Soufiane1, Sydney Meloche3, Eric Page3. 1. Saint-Jean-sur-Richelieu Research and Development Centre, Agriculture and Agri-Food Canada Saint-Jean-sur-Richelieu, Quebec, Canada. 2. Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada. 3. Harrow Research and Development Centre, Agriculture and Agri-Food Canada, Harrow, ON, Canada.
Abstract
BACKGROUND: Due to the accessibility of underlying technologies the 'Omics', in particular genomics, are becoming commonplace in several fields of research, including the study of agricultural pests. The weed community is starting to embrace these approaches; genome sequences have been made available in the past years, with several other sequencing projects underway, as promoted by the International Weed Genome Consortium. Chromosome-scale sequences are essential to fully exploit the power of genetics and genomics. RESULTS: We report such an assembly for Conyza canadensis, an important agricultural weed. Third-generation sequencing technology was used to create a genome assembly of 426 megabases, of which nine chromosome-scale scaffolds cover more than 98% of the entire assembled sequence. As this weed was the first to be identified with glyphosate resistance, and since we do not have a firm handle on the genetic mechanisms responsible for several herbicide resistances in the species, the genome sequence was annotated with genes known to be associated with herbicide resistance. A high number of ABC-type transporters, cytochrome P450 and glycosyltransferases (159, 352 and 181, respectively) were identified among the list of ab initio predicted genes. CONCLUSION: As C. canadensis has a small genome that is syntenic with other Asteraceaes, has a short life cycle and is relatively easy to cross, it has the potential to become a model weed species and, with the chromosome-scale genome sequence, contribute to a paradigm shift in the way non-target site resistance is studied.
BACKGROUND: Due to the accessibility of underlying technologies the 'Omics', in particular genomics, are becoming commonplace in several fields of research, including the study of agricultural pests. The weed community is starting to embrace these approaches; genome sequences have been made available in the past years, with several other sequencing projects underway, as promoted by the International Weed Genome Consortium. Chromosome-scale sequences are essential to fully exploit the power of genetics and genomics. RESULTS: We report such an assembly for Conyza canadensis, an important agricultural weed. Third-generation sequencing technology was used to create a genome assembly of 426 megabases, of which nine chromosome-scale scaffolds cover more than 98% of the entire assembled sequence. As this weed was the first to be identified with glyphosate resistance, and since we do not have a firm handle on the genetic mechanisms responsible for several herbicide resistances in the species, the genome sequence was annotated with genes known to be associated with herbicide resistance. A high number of ABC-type transporters, cytochrome P450 and glycosyltransferases (159, 352 and 181, respectively) were identified among the list of ab initio predicted genes. CONCLUSION: As C. canadensis has a small genome that is syntenic with other Asteraceaes, has a short life cycle and is relatively easy to cross, it has the potential to become a model weed species and, with the chromosome-scale genome sequence, contribute to a paradigm shift in the way non-target site resistance is studied.
Authors: Todd A Gaines; Stephen O Duke; Sarah Morran; Carlos A G Rigon; Patrick J Tranel; Anita Küpper; Franck E Dayan Journal: J Biol Chem Date: 2020-05-19 Impact factor: 5.157
Authors: José Cerca; Bent Petersen; José Miguel Lazaro-Guevara; Angel Rivera-Colón; Siri Birkeland; Joel Vizueta; Siyu Li; Qionghou Li; João Loureiro; Chatchai Kosawang; Patricia Jaramillo Díaz; Gonzalo Rivas-Torres; Mario Fernández-Mazuecos; Pablo Vargas; Ross A McCauley; Gitte Petersen; Luisa Santos-Bay; Nathan Wales; Julian M Catchen; Daniel Machado; Michael D Nowak; Alexander Suh; Neelima R Sinha; Lene R Nielsen; Ole Seberg; M Thomas P Gilbert; James H Leebens-Mack; Loren H Rieseberg; Michael D Martin Journal: Nat Commun Date: 2022-06-28 Impact factor: 17.694