Literature DB >> 32616877

Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding.

Michael F Scott1, Olufunmilayo Ladejobi2, James Cockram3, Richard Mott4, Samer Amer5,6, Alison R Bentley3, Jay Biernaskie7, Scott A Boden8, Matt Clark9, Matteo Dell'Acqua10, Laura E Dixon11, Carla V Filippi12, Nick Fradgley3, Keith A Gardner3, Ian J Mackay13, Donal O'Sullivan5, Lawrence Percival-Alwyn3, Manish Roorkiwal14, Rakesh Kumar Singh15, Mahendar Thudi14, Rajeev Kumar Varshney14, Luca Venturini9, Alex Whan16.   

Abstract

Crop populations derived from experimental crosses enable the genetic dissection of complex traits and support modern plant breeding. Among these, multi-parent populations now play a central role. By mixing and recombining the genomes of multiple founders, multi-parent populations combine many commonly sought beneficial properties of genetic mapping populations. For example, they have high power and resolution for mapping quantitative trait loci, high genetic diversity and minimal population structure. Many multi-parent populations have been constructed in crop species, and their inbred germplasm and associated phenotypic and genotypic data serve as enduring resources. Their utility has grown from being a tool for mapping quantitative trait loci to a means of providing germplasm for breeding programmes. Genomics approaches, including de novo genome assemblies and gene annotations for the population founders, have allowed the imputation of rich sequence information into the descendent population, expanding the breadth of research and breeding applications of multi-parent populations. Here, we report recent successes from crop multi-parent populations in crops. We also propose an ideal genotypic, phenotypic and germplasm 'package' that multi-parent populations should feature to optimise their use as powerful community resources for crop research, development and breeding.

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Year:  2020        PMID: 32616877      PMCID: PMC7784848          DOI: 10.1038/s41437-020-0336-6

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  84 in total

1.  The genomes of recombinant inbred lines.

Authors:  Karl W Broman
Journal:  Genetics       Date:  2004-11-15       Impact factor: 4.562

2.  TASSEL: software for association mapping of complex traits in diverse samples.

Authors:  Peter J Bradbury; Zhiwu Zhang; Dallas E Kroon; Terry M Casstevens; Yogesh Ramdoss; Edward S Buckler
Journal:  Bioinformatics       Date:  2007-06-22       Impact factor: 6.937

3.  Enhancing genomic prediction with genome-wide association studies in multiparental maize populations.

Authors:  Y Bian; J B Holland
Journal:  Heredity (Edinb)       Date:  2017-02-15       Impact factor: 3.821

Review 4.  Bandwagons I, too, have known.

Authors:  Rex Bernardo
Journal:  Theor Appl Genet       Date:  2016-09-28       Impact factor: 5.699

5.  Intraspecific variation of recombination rate in maize.

Authors:  Eva Bauer; Matthieu Falque; Hildrun Walter; Cyril Bauland; Christian Camisan; Laura Campo; Nina Meyer; Nicolas Ranc; Renaud Rincent; Wolfgang Schipprack; Thomas Altmann; Pascal Flament; Albrecht E Melchinger; Monica Menz; Jesús Moreno-González; Milena Ouzunova; Pedro Revilla; Alain Charcosset; Olivier C Martin; Chris-Carolin Schön
Journal:  Genome Biol       Date:  2013       Impact factor: 13.583

6.  A global reference for human genetic variation.

Authors:  Adam Auton; Lisa D Brooks; Richard M Durbin; Erik P Garrison; Hyun Min Kang; Jan O Korbel; Jonathan L Marchini; Shane McCarthy; Gil A McVean; Gonçalo R Abecasis
Journal:  Nature       Date:  2015-10-01       Impact factor: 49.962

7.  Increased Power To Dissect Adaptive Traits in Global Sorghum Diversity Using a Nested Association Mapping Population.

Authors:  Sophie Bouchet; Marcus O Olatoye; Sandeep R Marla; Ramasamy Perumal; Tesfaye Tesso; Jianming Yu; Mitch Tuinstra; Geoffrey P Morris
Journal:  Genetics       Date:  2017-06       Impact factor: 4.562

8.  R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations.

Authors:  Karl W Broman; Daniel M Gatti; Petr Simecek; Nicholas A Furlotte; Pjotr Prins; Śaunak Sen; Brian S Yandell; Gary A Churchill
Journal:  Genetics       Date:  2018-12-27       Impact factor: 4.562

9.  Effect of epistasis and environment on flowering time in barley reveals a novel flowering-delaying QTL allele.

Authors:  Nazanin P Afsharyan; Wiebke Sannemann; Jens Léon; Agim Ballvora
Journal:  J Exp Bot       Date:  2020-01-23       Impact factor: 6.992

10.  Combined sequence-based and genetic mapping analysis of complex traits in outbred rats.

Authors:  Amelie Baud; Roel Hermsen; Victor Guryev; Pernilla Stridh; Delyth Graham; Martin W McBride; Tatiana Foroud; Sophie Calderari; Margarita Diez; Johan Ockinger; Amennai D Beyeen; Alan Gillett; Nada Abdelmagid; Andre Ortlieb Guerreiro-Cacais; Maja Jagodic; Jonatan Tuncel; Ulrika Norin; Elisabeth Beattie; Ngan Huynh; William H Miller; Daniel L Koller; Imranul Alam; Samreen Falak; Mary Osborne-Pellegrin; Esther Martinez-Membrives; Toni Canete; Gloria Blazquez; Elia Vicens-Costa; Carme Mont-Cardona; Sira Diaz-Moran; Adolf Tobena; Oliver Hummel; Diana Zelenika; Kathrin Saar; Giannino Patone; Anja Bauerfeind; Marie-Therese Bihoreau; Matthias Heinig; Young-Ae Lee; Carola Rintisch; Herbert Schulz; David A Wheeler; Kim C Worley; Donna M Muzny; Richard A Gibbs; Mark Lathrop; Nico Lansu; Pim Toonen; Frans Paul Ruzius; Ewart de Bruijn; Heidi Hauser; David J Adams; Thomas Keane; Santosh S Atanur; Tim J Aitman; Paul Flicek; Tomas Malinauskas; E Yvonne Jones; Diana Ekman; Regina Lopez-Aumatell; Anna F Dominiczak; Martina Johannesson; Rikard Holmdahl; Tomas Olsson; Dominique Gauguier; Norbert Hubner; Alberto Fernandez-Teruel; Edwin Cuppen; Richard Mott; Jonathan Flint
Journal:  Nat Genet       Date:  2013-05-26       Impact factor: 38.330

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  33 in total

1.  Genetic architecture of variation in Arabidopsis thaliana rosettes.

Authors:  Odín Morón-García; Gina A Garzón-Martínez; M J Pilar Martínez-Martín; Jason Brook; Fiona M K Corke; John H Doonan; Anyela V Camargo Rodríguez
Journal:  PLoS One       Date:  2022-02-16       Impact factor: 3.240

2.  Nested association mapping-based GWAS for grain yield and related traits in wheat grown under diverse Australian environments.

Authors:  Charity Chidzanga; Daniel Mullan; Stuart Roy; Ute Baumann; Melissa Garcia
Journal:  Theor Appl Genet       Date:  2022-10-07       Impact factor: 5.574

3.  Genetic mapping and prediction of flowering time and plant height in a maize Stiff Stalk MAGIC population.

Authors:  Kathryn J Michel; Dayane C Lima; Hope Hundley; Vasanth Singan; Yuko Yoshinaga; Chris Daum; Kerrie Barry; Karl W Broman; C Robin Buell; Natalia de Leon; Shawn M Kaeppler
Journal:  Genetics       Date:  2022-05-31       Impact factor: 4.402

4.  Development of an Australian Bread Wheat Nested Association Mapping Population, a New Genetic Diversity Resource for Breeding under Dry and Hot Climates.

Authors:  Charity Chidzanga; Delphine Fleury; Ute Baumann; Dan Mullan; Sayuri Watanabe; Priyanka Kalambettu; Robert Pontre; James Edwards; Kerrie Forrest; Debbie Wong; Peter Langridge; Ken Chalmers; Melissa Garcia
Journal:  Int J Mol Sci       Date:  2021-04-21       Impact factor: 5.923

5.  Limited haplotype diversity underlies polygenic trait architecture across 70 years of wheat breeding.

Authors:  Michael F Scott; Nick Fradgley; Richard Mott; James Cockram; Alison R Bentley; Thomas Brabbs; Fiona Corke; Keith A Gardner; Richard Horsnell; Phil Howell; Olufunmilayo Ladejobi; Ian J Mackay
Journal:  Genome Biol       Date:  2021-05-06       Impact factor: 13.583

6.  Theory into practice: opportunities & applications of quantitative genetics in plants.

Authors:  Alison R Bentley; Lindsey J Compton
Journal:  Heredity (Edinb)       Date:  2020-11-09       Impact factor: 3.832

Review 7.  Rhizobial-Host Interactions and Symbiotic Nitrogen Fixation in Legume Crops Toward Agriculture Sustainability.

Authors:  Ravinder K Goyal; Autar K Mattoo; Maria Augusta Schmidt
Journal:  Front Microbiol       Date:  2021-06-11       Impact factor: 5.640

Review 8.  Genomics and breeding innovations for enhancing genetic gain for climate resilience and nutrition traits.

Authors:  Pallavi Sinha; Vikas K Singh; Abhishek Bohra; Arvind Kumar; Jochen C Reif; Rajeev K Varshney
Journal:  Theor Appl Genet       Date:  2021-05-20       Impact factor: 5.699

Review 9.  Modern Strategies to Assess and Breed Forest Tree Adaptation to Changing Climate.

Authors:  Andrés J Cortés; Manuela Restrepo-Montoya; Larry E Bedoya-Canas
Journal:  Front Plant Sci       Date:  2020-10-21       Impact factor: 5.753

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

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