Literature DB >> 24482600

Optimized breeding strategies for multiple trait integration: I. Minimizing linkage drag in single event introgression.

Ting Peng1, Xiaochun Sun2, Rita H Mumm3.   

Abstract

From a breeding standpoint, multiple trait integration (MTI) is a four-step process of converting an elite variety/hybrid for value-added traits (e.g. transgenic events) using backcross breeding, ultimately regaining the performance attributes of the target hybrid along with reliable expression of the value-added traits. In the light of the overarching goal of recovering equivalent performance in the finished conversion, this study focuses on the first step of MTI, single event introgression, exploring the feasibility of marker-aided backcross conversion of a target maize hybrid for 15 transgenic events, incorporating eight events into the female hybrid parent and seven into the male parent. Single event introgression is conducted in parallel streams to convert the recurrent parent (RP) for individual events, with the primary objective of minimizing residual non-recurrent parent (NRP) germplasm, especially in the chromosomal proximity to the event (i.e. linkage drag). In keeping with a defined lower limit of 96.66 % overall RP germplasm recovery (i.e. ≤120 cM NRP germplasm given a genome size of 1,788 cM), a breeding goal for each of the 15 single event conversions was developed: <8 cM of residual NRP germplasm across the genome with ~1 cM in the 20 cM region flanking the event. Using computer simulation, we aimed to identify optimal breeding strategies for single event introgression to achieve this breeding goal, measuring efficiency in terms of number of backcross generations required, marker data points needed, and total population size across generations. Various selection schemes classified as three-stage, modified two-stage, and combined selection conducted from BC1 through BC3, BC4, or BC5 were compared. The breeding goal was achieved with a selection scheme involving five generations of marker-aided backcrossing, with BC1 through BC3 selected for the event of interest and minimal linkage drag at population size of 600, and BC4 and BC5 selected for the event of interest and recovery of the RP germplasm across the genome at population size of 400, with selection intensity of 0.01 for all generations. In addition, strategies for choice of donor parent to facilitate conversion efficiency and quality were evaluated. Two essential criteria for choosing an optimal donor parent for a given RP were established: introgression history showing reduction of linkage drag to ~1 cM in the 20 cM region flanking the event and genetic similarity between the RP and potential donor parents. Computer simulation demonstrated that single event conversions with <8 cM residual NRP germplasm can be accomplished by BC5 with no genetic similarity, by BC4 with 30 % genetic similarity, and by BC3 with 86 % genetic similarity using previously converted RPs as event donors. This study indicates that MTI to produce a 'quality' 15-event-stacked hybrid conversion is achievable. Furthermore, it lays the groundwork for a comprehensive approach to MTI by outlining a pathway to produce appropriate starting materials with which to proceed with event pyramiding and trait fixation before version testing.

Entities:  

Keywords:  Breeding strategy; Computer simulation; Linkage drag; Marker-aided backcross; Multiple trait integration; Single event introgression

Year:  2013        PMID: 24482600      PMCID: PMC3890577          DOI: 10.1007/s11032-013-9936-7

Source DB:  PubMed          Journal:  Mol Breed        ISSN: 1380-3743            Impact factor:   2.589


  12 in total

1.  Size of donor chromosome segments around introgressed loci and reduction of linkage drag in marker-assisted backcross programs.

Authors:  F Hospital
Journal:  Genetics       Date:  2001-07       Impact factor: 4.562

2.  Using markers in gene introgression breeding programs.

Authors:  F Hospital; C Chevalet; P Mulsant
Journal:  Genetics       Date:  1992-12       Impact factor: 4.562

3.  Genetic dissection of intermated recombinant inbred lines using a new genetic map of maize.

Authors:  Yan Fu; Tsui-Jung Wen; Yefim I Ronin; Hsin D Chen; Ling Guo; David I Mester; Yongjie Yang; Michael Lee; Abraham B Korol; Daniel A Ashlock; Patrick S Schnable
Journal:  Genetics       Date:  2006-09-01       Impact factor: 4.562

4.  Comparison of the observed with the simulated distributions of the parental genome contribution in two marker-assisted backcross programs in rice.

Authors:  Vanessa Prigge; Hans Peter Maurer; David J Mackill; Albrecht E Melchinger; Matthias Frisch
Journal:  Theor Appl Genet       Date:  2008-01-31       Impact factor: 5.699

5.  Selection strategies for the development of rye introgression libraries.

Authors:  Karen Christin Falke; Thomas Miedaner; Matthias Frisch
Journal:  Theor Appl Genet       Date:  2009-05-31       Impact factor: 5.699

Review 6.  Molecular plant breeding as the foundation for 21st century crop improvement.

Authors:  Stephen P Moose; Rita H Mumm
Journal:  Plant Physiol       Date:  2008-07       Impact factor: 8.340

7.  Selection strategies for marker-assisted backcrossing with high-throughput marker systems.

Authors:  Eva Herzog; Matthias Frisch
Journal:  Theor Appl Genet       Date:  2011-04-08       Impact factor: 5.699

Review 8.  Trait stacking in transgenic crops: challenges and opportunities.

Authors:  Qiudeng Que; Mary-Dell M Chilton; Cheryl M de Fontes; Chengkun He; Michael Nuccio; Tong Zhu; Yuexuan Wu; Jeng S Chen; Liang Shi
Journal:  GM Crops       Date:  2010 Jul-Sep

9.  Marker-assisted introgression in backcross breeding programs.

Authors:  P M Visscher; C S Haley; R Thompson
Journal:  Genetics       Date:  1996-12       Impact factor: 4.562

10.  Optimized breeding strategies for multiple trait integration: II. Process efficiency in event pyramiding and trait fixation.

Authors:  Ting Peng; Xiaochun Sun; Rita H Mumm
Journal:  Mol Breed       Date:  2013-08-15       Impact factor: 2.589

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  15 in total

1.  The Predicted Cross Value for Genetic Introgression of Multiple Alleles.

Authors:  Ye Han; John N Cameron; Lizhi Wang; William D Beavis
Journal:  Genetics       Date:  2017-01-25       Impact factor: 4.562

2.  Optimized breeding strategies for multiple trait integration: II. Process efficiency in event pyramiding and trait fixation.

Authors:  Ting Peng; Xiaochun Sun; Rita H Mumm
Journal:  Mol Breed       Date:  2013-08-15       Impact factor: 2.589

3.  Benefit of Introgression Depends on Level of Genetic Trait Variation in Cereal Breeding Programmes.

Authors:  Yongjun Li; Fan Shi; Zibei Lin; Hannah Robinson; David Moody; Allan Rattey; Jayfred Godoy; Daniel Mullan; Gabriel Keeble-Gagnere; Matthew J Hayden; Josquin F G Tibbits; Hans D Daetwyler
Journal:  Front Plant Sci       Date:  2022-06-15       Impact factor: 6.627

4.  Method to represent the distribution of QTL additive and dominance effects associated with quantitative traits in computer simulation.

Authors:  Xiaochun Sun; Rita H Mumm
Journal:  BMC Bioinformatics       Date:  2016-02-06       Impact factor: 3.169

5.  Marker-assisted breeding of the rice restorer line Wanhui 6725 for disease resistance, submergence tolerance and aromatic fragrance.

Authors:  Yanchang Luo; Tingchen Ma; Aifang Zhang; Kar Hui Ong; Zefu Li; Jianbo Yang; Zhongchao Yin
Journal:  Rice (N Y)       Date:  2016-12-01       Impact factor: 4.783

6.  Systematic design for trait introgression projects.

Authors:  John N Cameron; Ye Han; Lizhi Wang; William D Beavis
Journal:  Theor Appl Genet       Date:  2017-06-24       Impact factor: 5.699

7.  Dynamic Programming for Resource Allocation in Multi-Allelic Trait Introgression.

Authors:  Ye Han; John N Cameron; Lizhi Wang; Hieu Pham; William D Beavis
Journal:  Front Plant Sci       Date:  2021-06-18       Impact factor: 5.753

8.  Optimized breeding strategies for multiple trait integration: III. Parameters for success in version testing.

Authors:  Xiaochun Sun; Rita H Mumm
Journal:  Mol Breed       Date:  2015-10-14       Impact factor: 2.589

Review 9.  Wild Relatives of Maize, Rice, Cotton, and Soybean: Treasure Troves for Tolerance to Biotic and Abiotic Stresses.

Authors:  Jafar Mammadov; Ramesh Buyyarapu; Satish K Guttikonda; Kelly Parliament; Ibrokhim Y Abdurakhmonov; Siva P Kumpatla
Journal:  Front Plant Sci       Date:  2018-06-28       Impact factor: 5.753

10.  Improved host-plant resistance to Phytophthora rot and powdery mildew in soybean (Glycine max (L.) Merr.).

Authors:  Jegadeesan Ramalingam; Ganesh Alagarasan; Palanisamy Savitha; Kelsey Lydia; Govindan Pothiraj; Eswaramoorthy Vijayakumar; Rajaprakasam Sudhagar; Amar Singh; Kumari Vedna; Chockalingam Vanniarajan
Journal:  Sci Rep       Date:  2020-08-18       Impact factor: 4.379

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