Literature DB >> 26883039

Targeted genotyping-by-sequencing permits cost-effective identification and discrimination of pasture grass species and cultivars.

Luke W Pembleton1,2,3, Michelle C Drayton1,2, Melissa Bain1,2, Rebecca C Baillie1,2, Courtney Inch4, German C Spangenberg1,2,3, Junping Wang5, John W Forster6,7,8, Noel O I Cogan1,2.   

Abstract

KEY MESSAGE: A targeted amplicon-based genotyping-by-sequencing approach has permitted cost-effective and accurate discrimination between ryegrass species (perennial, Italian and inter-species hybrid), and identification of cultivars based on bulked samples. Perennial ryegrass and Italian ryegrass are the most important temperate forage species for global agriculture, and are represented in the commercial pasture seed market by numerous cultivars each composed of multiple highly heterozygous individuals. Previous studies have identified difficulties in the use of morphophysiological criteria to discriminate between these two closely related taxa. Recently, a highly multiplexed single nucleotide polymorphism (SNP)-based genotyping assay has been developed that permits accurate differentiation between both species and cultivars of ryegrasses at the genetic level. This assay has since been further developed into an amplicon-based genotyping-by-sequencing (GBS) approach implemented on a second-generation sequencing platform, allowing accelerated throughput and ca. sixfold reduction in cost. Using the GBS approach, 63 cultivars of perennial, Italian and interspecific hybrid ryegrasses, as well as intergeneric Festulolium hybrids, were genotyped. The genetic relationships between cultivars were interpreted in terms of known breeding histories and indistinct species boundaries within the Lolium genus, as well as suitability of current cultivar registration methodologies. An example of applicability to quality assurance and control (QA/QC) of seed purity is also described. Rapid, low-cost genotypic assays provide new opportunities for breeders to more fully explore genetic diversity within breeding programs, allowing the combination of novel unique genetic backgrounds. Such tools also offer the potential to more accurately define cultivar identities, allowing protection of varieties in the commercial market and supporting processes of cultivar accreditation and quality assurance.

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Year:  2016        PMID: 26883039     DOI: 10.1007/s00122-016-2678-2

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  12 in total

1.  StAMPP: an R package for calculation of genetic differentiation and structure of mixed-ploidy level populations.

Authors:  Luke W Pembleton; Noel O I Cogan; John W Forster
Journal:  Mol Ecol Resour       Date:  2013-06-06       Impact factor: 7.090

2.  Selection and stability of synthetic varieties of Lolium perenne : 1. The selected character and its expression over generations of multiplication.

Authors:  M D Hayward; I B Abdullah
Journal:  Theor Appl Genet       Date:  1985-04       Impact factor: 5.699

3.  Circos: an information aesthetic for comparative genomics.

Authors:  Martin Krzywinski; Jacqueline Schein; Inanç Birol; Joseph Connors; Randy Gascoyne; Doug Horsman; Steven J Jones; Marco A Marra
Journal:  Genome Res       Date:  2009-06-18       Impact factor: 9.043

Review 4.  Genome-wide genetic marker discovery and genotyping using next-generation sequencing.

Authors:  John W Davey; Paul A Hohenlohe; Paul D Etter; Jason Q Boone; Julian M Catchen; Mark L Blaxter
Journal:  Nat Rev Genet       Date:  2011-06-17       Impact factor: 53.242

5.  adegenet 1.3-1: new tools for the analysis of genome-wide SNP data.

Authors:  Thibaut Jombart; Ismaïl Ahmed
Journal:  Bioinformatics       Date:  2011-09-16       Impact factor: 6.937

6.  Gene-associated single nucleotide polymorphism discovery in perennial ryegrass (Lolium perenne L.).

Authors:  Noel O I Cogan; Rebecca C Ponting; Anita C Vecchies; Michelle C Drayton; Julie George; Peter M Dracatos; Mark P Dobrowolski; Timothy I Sawbridge; Kevin F Smith; Germán C Spangenberg; John W Forster
Journal:  Mol Genet Genomics       Date:  2006-05-17       Impact factor: 3.291

7.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

8.  A transcriptome map of perennial ryegrass (Lolium perenne L.).

Authors:  Bruno Studer; Stephen Byrne; Rasmus O Nielsen; Frank Panitz; Christian Bendixen; Md Shofiqul Islam; Matthias Pfeifer; Thomas Lübberstedt; Torben Asp
Journal:  BMC Genomics       Date:  2012-04-18       Impact factor: 3.969

9.  A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species.

Authors:  Robert J Elshire; Jeffrey C Glaubitz; Qi Sun; Jesse A Poland; Ken Kawamoto; Edward S Buckler; Sharon E Mitchell
Journal:  PLoS One       Date:  2011-05-04       Impact factor: 3.240

10.  DNA damage in plant herbarium tissue.

Authors:  Martijn Staats; Argelia Cuenca; James E Richardson; Ria Vrielink-van Ginkel; Gitte Petersen; Ole Seberg; Freek T Bakker
Journal:  PLoS One       Date:  2011-12-05       Impact factor: 3.240

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  10 in total

1.  RAD-seq as an effective strategy for heterogenous variety identification in plants-a case study in Italian Ryegrass (Lolium multiflorum).

Authors:  Qingqing Yu; Yao Ling; Yanli Xiong; Wenda Zhao; Yi Xiong; Zhixiao Dong; Jian Yang; Junming Zhao; Xinquan Zhang; Xiao Ma
Journal:  BMC Plant Biol       Date:  2022-05-05       Impact factor: 5.260

Review 2.  Toward Genomics-Based Breeding in C3 Cool-Season Perennial Grasses.

Authors:  Shyamal K Talukder; Malay C Saha
Journal:  Front Plant Sci       Date:  2017-07-26       Impact factor: 5.753

Review 3.  Integrating High-Throughput Phenotyping and Statistical Genomic Methods to Genetically Improve Longitudinal Traits in Crops.

Authors:  Fabiana F Moreira; Hinayah R Oliveira; Jeffrey J Volenec; Katy M Rainey; Luiz F Brito
Journal:  Front Plant Sci       Date:  2020-05-26       Impact factor: 5.753

4.  Integrating a newly developed BAC-based physical mapping resource for Lolium perenne with a genome-wide association study across a L. perenne European ecotype collection identifies genomic contexts associated with agriculturally important traits.

Authors:  J Harper; J De Vega; S Swain; D Heavens; D Gasior; A Thomas; C Evans; A Lovatt; S Lister; D Thorogood; L Skøt; M Hegarty; T Blackmore; D Kudrna; S Byrne; T Asp; W Powell; N Fernandez-Fuentes; I Armstead
Journal:  Ann Bot       Date:  2019-06-24       Impact factor: 4.357

5.  Does the "high sugar" trait of perennial ryegrass cultivars express under temperate climate conditions?

Authors:  M Jordana Rivero; Oscar A Balocchi; Cristian J Moscoso; Juan Agustín Siebald; Fabián Lukas Neumann; Don Meyer; Michael R F Lee
Journal:  Grass Forage Sci       Date:  2019-01-28       Impact factor: 2.630

6.  Genetic Mapping and Prediction Analysis of FHB Resistance in a Hard Red Spring Wheat Breeding Population.

Authors:  Yuan Liu; Evan Salsman; Jason D Fiedler; Justin B Hegstad; Andrew Green; Mohamed Mergoum; Shaobin Zhong; Xuehui Li
Journal:  Front Plant Sci       Date:  2019-08-06       Impact factor: 5.753

7.  Targeted genotyping by sequencing: a new way to genome profile the cat.

Authors:  M Longeri; A Chiodi; M Brilli; A Piazza; L A Lyons; G Sofronidis; M C Cozzi; C Bazzocchi
Journal:  Anim Genet       Date:  2019-09-12       Impact factor: 3.169

8.  An Assessment of the Lolium perenne (Perennial Ryegrass) Seedborne Microbiome across Cultivars, Time, and Biogeography: Implications for Microbiome Breeding.

Authors:  Ian Tannenbaum; Brendan Rodoni; German Spangenberg; Ross Mann; Tim Sawbridge
Journal:  Microorganisms       Date:  2021-06-02

9.  Exploitation of data from breeding programs supports rapid implementation of genomic selection for key agronomic traits in perennial ryegrass.

Authors:  Luke W Pembleton; Courtney Inch; Rebecca C Baillie; Michelle C Drayton; Preeti Thakur; Yvonne O Ogaji; German C Spangenberg; John W Forster; Hans D Daetwyler; Noel O I Cogan
Journal:  Theor Appl Genet       Date:  2018-06-02       Impact factor: 5.699

Review 10.  Genomic interventions for sustainable agriculture.

Authors:  Abhishek Bohra; Uday Chand Jha; Ian D Godwin; Rajeev Kumar Varshney
Journal:  Plant Biotechnol J       Date:  2020-09-22       Impact factor: 9.803

  10 in total

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