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Thudi M, Samineni S, Li W, Boer MP, Roorkiwal M, Yang Z, Ladejobi F, Zheng C, Chitikineni A, Nayak S, He Z, Valluri V, Bajaj P, Khan AW, Gaur PM, van Eeuwijk F, Mott R, Xin L, Varshney RK. Whole genome resequencing and phenotyping of MAGIC population for high resolution mapping of drought tolerance in chickpea. THE PLANT GENOME 2024; 17:e20333. [PMID: 37122200 DOI: 10.1002/tpg2.20333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 02/17/2023] [Accepted: 03/09/2023] [Indexed: 06/19/2023]
Abstract
Terminal drought is one of the major constraints to crop production in chickpea (Cicer arietinum L.). In order to map drought tolerance related traits at high resolution, we sequenced multi-parent advanced generation intercross (MAGIC) population using whole genome resequencing approach and phenotyped it under drought stress environments for two consecutive years (2013-14 and 2014-15). A total of 52.02 billion clean reads containing 4.67 TB clean data were generated on the 1136 MAGIC lines and eight parental lines. Alignment of clean data on to the reference genome enabled identification of a total, 932,172 of SNPs, 35,973 insertions, and 35,726 deletions among the parental lines. A high-density genetic map was constructed using 57,180 SNPs spanning a map distance of 1606.69 cM. Using compressed mixed linear model, genome-wide association study (GWAS) enabled us to identify 737 markers significantly associated with days to 50% flowering, days to maturity, plant height, 100 seed weight, biomass, and harvest index. In addition to the GWAS approach, an identity-by-descent (IBD)-based mixed model approach was used to map quantitative trait loci (QTLs). The IBD-based mixed model approach detected major QTLs that were comparable to those from the GWAS analysis as well as some exclusive QTLs with smaller effects. The candidate genes like FRIGIDA and CaTIFY4b can be used for enhancing drought tolerance in chickpea. The genomic resources, genetic map, marker-trait associations, and QTLs identified in the study are valuable resources for the chickpea community for developing climate resilient chickpeas.
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Affiliation(s)
- Mahendar Thudi
- Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
- Department of Agricultural Biotechnology and Molecular Biology, Dr. Rajendra Prasad Central Agricultural University (RPCAU), Pusa, India
| | - Srinivasan Samineni
- Crop Improvement Program-Asia, ICRISAT, Patancheru, India
- International Center for Biosaline Agriculture, Dubai, United Arab Emirates
| | - Wenhao Li
- Wageningen University and Research, Wageningen, The Netherlands
| | - Martin P Boer
- Wageningen University and Research, Wageningen, The Netherlands
| | - Manish Roorkiwal
- Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
- Khalifa Center for Genetic Engineering and Biotechnology (KCGEB), United Arab Emirates University, Al Ain, United Arab Emirates
| | | | - Funmi Ladejobi
- Department of Genetics, Evolution and Environment, Genetics Institute, University College London, London, UK
| | - Chaozhi Zheng
- Wageningen University and Research, Wageningen, The Netherlands
- BGI-Shenzhen, Shenzhen, China
| | - Annapurna Chitikineni
- Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | - Sourav Nayak
- Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | | | - Vinod Valluri
- Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | - Prasad Bajaj
- Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | - Aamir W Khan
- Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | - Pooran M Gaur
- Department of Agricultural Biotechnology and Molecular Biology, Dr. Rajendra Prasad Central Agricultural University (RPCAU), Pusa, India
- The UWA Institute of Agriculture, University of Western Australia, Perth, Western Australia, Australia
| | | | - Richard Mott
- Department of Genetics, Evolution and Environment, Genetics Institute, University College London, London, UK
| | - Liu Xin
- BGI-Shenzhen, Shenzhen, China
| | - Rajeev K Varshney
- Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
- Centre for Crop & Food Innovation, WA State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, Western Australia, Australia
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2
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Minow MAA, Marand AP, Schmitz RJ. Leveraging Single-Cell Populations to Uncover the Genetic Basis of Complex Traits. Annu Rev Genet 2023; 57:297-319. [PMID: 37562412 PMCID: PMC10775913 DOI: 10.1146/annurev-genet-022123-110824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
The ease and throughput of single-cell genomics have steadily improved, and its current trajectory suggests that surveying single-cell populations will become routine. We discuss the merger of quantitative genetics with single-cell genomics and emphasize how this synergizes with advantages intrinsic to plants. Single-cell population genomics provides increased detection resolution when mapping variants that control molecular traits, including gene expression or chromatin accessibility. Additionally, single-cell population genomics reveals the cell types in which variants act and, when combined with organism-level phenotype measurements, unveils which cellular contexts impact higher-order traits. Emerging technologies, notably multiomics, can facilitate the measurement of both genetic changes and genomic traits in single cells, enabling single-cell genetic experiments. The implementation of single-cell genetics will advance the investigation of the genetic architecture of complex molecular traits and provide new experimental paradigms to study eukaryotic genetics.
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Affiliation(s)
- Mark A A Minow
- Department of Genetics, University of Georgia, Athens, Georgia, USA;
| | | | - Robert J Schmitz
- Department of Genetics, University of Georgia, Athens, Georgia, USA;
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3
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Hashem M, Sandhu KS, Ismail SM, Börner A, Sallam A. Validation and marker-assisted selection of DArT-genomic regions associated with wheat yield-related traits under normal and drought conditions. Front Genet 2023; 14:1195566. [PMID: 37292145 PMCID: PMC10245129 DOI: 10.3389/fgene.2023.1195566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 05/10/2023] [Indexed: 06/10/2023] Open
Abstract
Quantitative trait loci (QTL) is one of the most important steps in marker-assisted selection. Few studies have validated quantitative trait loci for marker-assisted selection of yield traits under drought stress conditions in wheat. A set of 138 highly diverse wheat genotypes were tested under normal and drought stress conditions for 2 years. Plant height, heading date, spike length, grain number per spike, grain yield per spike, and 1000-kernel weight were scored. High genetic variation was found among genotypes in all traits scored under both conditions in the 2 years. The same panel was genotyped using a diversity-array technology (DArT) marker, and a genome-wide association study was performed to find alleles associated with yield traits under all conditions. A set of 191 significant DArT markers were identified in this study. The results of the genome-wide association study revealed eight common markers in wheat that were significantly associated with the same traits under both conditions in the 2 years. Out of the eight markers, seven were located on the D genome except one marker. Four validated markers were located on the 3D chromosome and found in complete linkage disequilibrium. Moreover, these four markers were significantly associated with the heading date under both conditions and the grain yield per spike under drought stress condition in the 2 years. This high-linkage disequilibrium genomic region was located within the TraesCS3D02G002400 gene model. Furthermore, of the eight validated markers, seven were previously reported to be associated with yield traits under normal and drought conditions. The results of this study provided very promising DArT markers that can be used for marker-assisted selection to genetically improve yield traits under normal and drought conditions.
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Affiliation(s)
- Mostafa Hashem
- Department of Genetics, Faculty of Agriculture, Assiut University, Assuit, Egypt
| | | | - Saleh M. Ismail
- Soils and Water Department, Faculty of Agriculture, Assiut University, Assiut, Egypt
| | - Andreas Börner
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany
| | - Ahmed Sallam
- Department of Genetics, Faculty of Agriculture, Assiut University, Assuit, Egypt
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany
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Simpson CJC, Reeves G, Tripathi A, Singh P, Hibberd JM. Using breeding and quantitative genetics to understand the C4 pathway. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:3072-3084. [PMID: 34747993 PMCID: PMC9126733 DOI: 10.1093/jxb/erab486] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 11/03/2021] [Indexed: 05/09/2023]
Abstract
Reducing photorespiration in C3 crops could significantly increase rates of photosynthesis and yield. One method to achieve this would be to integrate C4 photosynthesis into C3 species. This objective is challenging as it involves engineering incompletely understood traits into C3 leaves, including complex changes to their biochemistry, cell biology, and anatomy. Quantitative genetics and selective breeding offer underexplored routes to identify regulators of these processes. We first review examples of natural intraspecific variation in C4 photosynthesis as well as the potential for hybridization between C3 and C4 species. We then discuss how quantitative genetic approaches including artificial selection and genome-wide association could be used to better understand the C4 syndrome and in so doing guide the engineering of the C4 pathway into C3 crops.
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Affiliation(s)
- Conor J C Simpson
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Gregory Reeves
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Anoop Tripathi
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Pallavi Singh
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Julian M Hibberd
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
- Correspondence:
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5
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Nayak S, Bhandari H, Saha MC, Ali S, Sams C, Pantalone V. Identification of QTL Associated with Regrowth Vigor Using the Nested Association Mapping Population in Switchgrass. PLANTS 2022; 11:plants11040566. [PMID: 35214899 PMCID: PMC8874488 DOI: 10.3390/plants11040566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 02/04/2022] [Accepted: 02/17/2022] [Indexed: 11/16/2022]
Abstract
Switchgrass (Panicum virgatum L.) is a warm-season perennial grass species that is utilized as forage for livestock and biofuel feedstock. The stability of biomass yield and regrowth vigor under changing harvest frequency would help manage potential fluctuations in the feedstock market and would provide a continuous supply of quality forage for livestock. This study was conducted to (i) assess the genetic variation and (ii) identify the quantitative trait loci (QTL) associated with regrowth vigor after multiple cuttings in lowland switchgrass. A nested association mapping (NAM) population comprising 2000 pseudo F2 progenies was genotyped with single nucleotide polymorphism (SNP) markers derived from exome-capture sequencing and was evaluated for regrowth vigor in 2017 and 2018. The results showed significant variation among the NAM families in terms of regrowth vigor (p < 0.05). A total of 10 QTL were detected on 6 chromosomes: 1B, 5A, 5B, 6B, 7B, and 8A, explaining the phenotypic variation by up to 4.7%. The additive genetic effects of an individual QTL ranged from −0.13 to 0.26. No single QTL showed a markedly large effect, suggesting complex genetics underlying regrowth vigor in switchgrass. The homologs of candidate genes that play a variety of roles in developmental processes, including plant hormonal signal transduction, nucleotide biosynthesis, secondary metabolism, senescence, and responses to both biotic and abiotic stresses, were identified in the vicinity of QTL.
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Affiliation(s)
- Santosh Nayak
- Department of Plant Sciences, The University of Tennessee, 2505 E J Chapman Drive, Knoxville, TN 37996, USA; (H.B.); (C.S.); (V.P.)
- Correspondence: or ; Tel.: +1-831-755-2867
| | - Hem Bhandari
- Department of Plant Sciences, The University of Tennessee, 2505 E J Chapman Drive, Knoxville, TN 37996, USA; (H.B.); (C.S.); (V.P.)
| | - Malay C. Saha
- Noble Research Institute, 2510 Sam Noble Parkway, Ardmore, OK 73401, USA; (M.C.S.); (S.A.)
| | - Shahjahan Ali
- Noble Research Institute, 2510 Sam Noble Parkway, Ardmore, OK 73401, USA; (M.C.S.); (S.A.)
| | - Carl Sams
- Department of Plant Sciences, The University of Tennessee, 2505 E J Chapman Drive, Knoxville, TN 37996, USA; (H.B.); (C.S.); (V.P.)
| | - Vince Pantalone
- Department of Plant Sciences, The University of Tennessee, 2505 E J Chapman Drive, Knoxville, TN 37996, USA; (H.B.); (C.S.); (V.P.)
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6
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Yang CJ, Edmondson RN, Piepho HP, Powell W, Mackay I. Crafting for a better MAGIC: systematic design and test for Multiparental Advanced Generation Inter-Cross population. G3 GENES|GENOMES|GENETICS 2021; 11:6354367. [PMID: 34849794 PMCID: PMC8527519 DOI: 10.1093/g3journal/jkab295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 08/15/2021] [Indexed: 12/04/2022]
Abstract
Multiparental Advanced Generation Inter-Cross (MAGIC) populations are valuable crop resources with a wide array of research uses including genetic mapping of complex traits, management of genetic resources and breeding of new varieties. Multiple founders are crossed to create a rich mosaic of highly recombined founder genomes in the MAGIC recombinant inbred lines (RILs). Many variations of MAGIC population designs exist; however, a large proportion of the currently available populations have been created empirically and based on similar designs. In our evaluations of five MAGIC populations, we found that the choice of designs has a large impact on the recombination landscape in the RILs. The most popular design used in many MAGIC populations has been shown to have a bias in recombinant haplotypes and low level of unique recombinant haplotypes, and therefore is not recommended. To address this problem and provide a remedy for the future, we have developed the “magicdesign” R package for creating and testing any MAGIC population design via simulation. A Shiny app version of the package is available as well. Our “magicdesign” package provides a unifying tool and a framework for creativity and innovation in MAGIC population designs. For example, using this package, we demonstrate that MAGIC population designs can be found which are very effective in creating haplotype diversity without the requirement for very large crossing programs. Furthermore, we show that interspersing cycles of crossing with cycles of selfing is effective in increasing haplotype diversity. These approaches are applicable in species that are hard to cross or in which resources are limited.
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Affiliation(s)
| | | | - Hans-Peter Piepho
- Biostatistics Unit, Institute of Crop Science, University of Hohenheim, Stuttgart 70593, Germany
| | - Wayne Powell
- Scotland’s Rural College (SRUC), Edinburgh EH9 3JG, UK
| | - Ian Mackay
- Scotland’s Rural College (SRUC), Edinburgh EH9 3JG, UK
- IMplant Consultancy Ltd., Chelmsford, UK
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7
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Boatwright JL, Brenton ZW, Boyles RE, Sapkota S, Myers MT, Jordan KE, Dale SM, Shakoor N, Cooper EA, Morris GP, Kresovich S. Genetic characterization of a Sorghum bicolor multiparent mapping population emphasizing carbon-partitioning dynamics. G3-GENES GENOMES GENETICS 2021; 11:6157831. [PMID: 33681979 PMCID: PMC8759819 DOI: 10.1093/g3journal/jkab060] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 02/18/2021] [Indexed: 12/03/2022]
Abstract
Sorghum bicolor, a photosynthetically efficient C4 grass, represents an important source of grain, forage, fermentable sugars, and cellulosic fibers that can be utilized in myriad applications ranging from bioenergy to bioindustrial feedstocks. Sorghum’s efficient fixation of carbon per unit time per unit area per unit input has led to its classification as a preferred biomass crop highlighted by its designation as an advanced biofuel by the U.S. Department of Energy. Due to its extensive genetic diversity and worldwide colonization, sorghum has considerable diversity for a range of phenotypes influencing productivity, composition, and sink/source dynamics. To dissect the genetic basis of these key traits, we present a sorghum carbon-partitioning nested association mapping (NAM) population generated by crossing 11 diverse founder lines with Grassl as the single recurrent female. By exploiting existing variation among cellulosic, forage, sweet, and grain sorghum carbon partitioning regimes, the sorghum carbon-partitioning NAM population will allow the identification of important biomass-associated traits, elucidate the genetic architecture underlying carbon partitioning and improve our understanding of the genetic determinants affecting unique phenotypes within Poaceae. We contrast this NAM population with an existing grain population generated using Tx430 as the recurrent female. Genotypic data are assessed for quality by examining variant density, nucleotide diversity, linkage decay, and are validated using pericarp and testa phenotypes to map known genes affecting these phenotypes. We release the 11-family NAM population along with corresponding genomic data for use in genetic, genomic, and agronomic studies with a focus on carbon-partitioning regimes.
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Affiliation(s)
- J Lucas Boatwright
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA.,Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA
| | - Zachary W Brenton
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA.,Carolina Seed Systems, Darlington, SC 29532, USA
| | - Richard E Boyles
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA.,Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA
| | - Sirjan Sapkota
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA
| | - Matthew T Myers
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA
| | - Kathleen E Jordan
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA
| | - Savanah M Dale
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA
| | - Nadia Shakoor
- Donald Danforth Plant Science Center, St. Louis, MI 63132, USA
| | - Elizabeth A Cooper
- Department of Bioinformatics and Genomics, University of North Carolina, Charlotte, NC 27705, USA
| | - Geoffrey P Morris
- Department of Agronomy, Kansas State University, Manhattan, KS 66506, USA
| | - Stephen Kresovich
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA.,Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA
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Scott MF, Fradgley N, Bentley AR, Brabbs T, Corke F, Gardner KA, Horsnell R, Howell P, Ladejobi O, Mackay IJ, Mott R, Cockram J. Limited haplotype diversity underlies polygenic trait architecture across 70 years of wheat breeding. Genome Biol 2021; 22:137. [PMID: 33957956 PMCID: PMC8101041 DOI: 10.1186/s13059-021-02354-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 04/16/2021] [Indexed: 11/25/2022] Open
Abstract
Background Selection has dramatically shaped genetic and phenotypic variation in bread wheat. We can assess the genomic basis of historical phenotypic changes, and the potential for future improvement, using experimental populations that attempt to undo selection through the randomizing effects of recombination. Results We bred the NIAB Diverse MAGIC multi-parent population comprising over 500 recombinant inbred lines, descended from sixteen historical UK bread wheat varieties released between 1935 and 2004. We sequence the founders’ genes and promoters by capture, and the MAGIC population by low-coverage whole-genome sequencing. We impute 1.1 M high-quality SNPs that are over 99% concordant with array genotypes. Imputation accuracy only marginally improves when including the founders’ genomes as a haplotype reference panel. Despite capturing 73% of global wheat genetic polymorphism, 83% of genes cluster into no more than three haplotypes. We phenotype 47 agronomic traits over 2 years and map 136 genome-wide significant associations, concentrated at 42 genetic loci with large and often pleiotropic effects. Around half of these overlap known quantitative trait loci. Most traits exhibit extensive polygenicity, as revealed by multi-locus shrinkage modelling. Conclusions Our results are consistent with a gene pool of low haplotypic diversity, containing few novel loci of large effect. Most past, and projected future, phenotypic changes arising from existing variation involve fine-scale shuffling of a few haplotypes to recombine dozens of polygenic alleles of small effect. Moreover, extensive pleiotropy means selection on one trait will have unintended consequences, exemplified by the negative trade-off between yield and protein content, unless selection and recombination can break unfavorable trait-trait associations. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-021-02354-7.
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Affiliation(s)
- Michael F Scott
- University College London (UCL) Genetics Institute, Gower St, London, WC1E 6BT, UK.,Current address: School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
| | - Nick Fradgley
- National Institute for Agricultural Botany (NIAB), 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Alison R Bentley
- National Institute for Agricultural Botany (NIAB), 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK.,Current address: International Maize and Wheat Improvement Center (CIMMYT), El Batán, Texcoco, Mexico
| | | | - Fiona Corke
- The National Plant Phenomics Centre, Institute of Biological, Rural and Environmental Sciences (IBERS), Aberystwyth University, Gogerddan, Aberystwyth, SY23 3EE, UK
| | - Keith A Gardner
- National Institute for Agricultural Botany (NIAB), 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Richard Horsnell
- National Institute for Agricultural Botany (NIAB), 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Phil Howell
- National Institute for Agricultural Botany (NIAB), 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | | | - Ian J Mackay
- National Institute for Agricultural Botany (NIAB), 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK.,Current address: SRUC, Peter Wilson Building King's Buildings, W Mains Rd, Edinburgh, EH9 3JG, UK
| | - Richard Mott
- University College London (UCL) Genetics Institute, Gower St, London, WC1E 6BT, UK.
| | - James Cockram
- National Institute for Agricultural Botany (NIAB), 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK.
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9
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Scott MF, Ladejobi O, Amer S, Bentley AR, Biernaskie J, Boden SA, Clark M, Dell'Acqua M, Dixon LE, Filippi CV, Fradgley N, Gardner KA, Mackay IJ, O'Sullivan D, Percival-Alwyn L, Roorkiwal M, Singh RK, Thudi M, Varshney RK, Venturini L, Whan A, Cockram J, Mott R. Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding. Heredity (Edinb) 2020; 125:396-416. [PMID: 32616877 PMCID: PMC7784848 DOI: 10.1038/s41437-020-0336-6] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 06/16/2020] [Accepted: 06/16/2020] [Indexed: 11/21/2022] Open
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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Affiliation(s)
| | | | - Samer Amer
- University of Reading, Reading, RG6 6AH, UK
- Faculty of Agriculture, Alexandria University, Alexandria, 23714, Egypt
| | - Alison R Bentley
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Jay Biernaskie
- Department of Plant Sciences, University of Oxford, South Parks Road, Oxford, OX1 3RB, UK
| | - Scott A Boden
- School of Agriculture, Food and Wine, University of Adelaide, Glen Osmond, SA, 5064, Australia
| | | | | | - Laura E Dixon
- Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, UK
| | - Carla V Filippi
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), INTA-CONICET, Nicolas Repetto y Los Reseros s/n, 1686, Hurlingham, Buenos Aires, Argentina
| | - Nick Fradgley
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Keith A Gardner
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Ian J Mackay
- SRUC, West Mains Road, Kings Buildings, Edinburgh, EH9 3JG, UK
| | | | | | - Manish Roorkiwal
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Rakesh Kumar Singh
- International Center for Biosaline Agriculture, Academic City, Dubai, United Arab Emirates
| | - Mahendar Thudi
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Rajeev Kumar Varshney
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | - Alex Whan
- CSIRO, GPO Box 1700, Canberra, ACT, 2601, Australia
| | - James Cockram
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Richard Mott
- UCL Genetics Institute, Gower Street, London, WC1E 6BT, UK
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10
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Singh RK, Prasad A, Muthamilarasan M, Parida SK, Prasad M. Breeding and biotechnological interventions for trait improvement: status and prospects. PLANTA 2020; 252:54. [PMID: 32948920 PMCID: PMC7500504 DOI: 10.1007/s00425-020-03465-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 09/12/2020] [Indexed: 05/06/2023]
Abstract
Present review describes the molecular tools and strategies deployed in the trait discovery and improvement of major crops. The prospects and challenges associated with these approaches are discussed. Crop improvement relies on modulating the genes and genomic regions underlying key traits, either directly or indirectly. Direct approaches include overexpression, RNA interference, genome editing, etc., while breeding majorly constitutes the indirect approach. With the advent of latest tools and technologies, these strategies could hasten the improvement of crop species. Next-generation sequencing, high-throughput genotyping, precision editing, use of space technology for accelerated growth, etc. had provided a new dimension to crop improvement programmes that work towards delivering better varieties to cope up with the challenges. Also, studies have widened from understanding the response of plants to single stress to combined stress, which provides insights into the molecular mechanisms regulating tolerance to more than one stress at a given point of time. Altogether, next-generation genetics and genomics had made tremendous progress in delivering improved varieties; however, the scope still exists to expand its horizon to other species that remain underutilized. In this context, the present review systematically analyses the different genomics approaches that are deployed for trait discovery and improvement in major species that could serve as a roadmap for executing similar strategies in other crop species. The application, pros, and cons, and scope for improvement of each approach have been discussed with examples, and altogether, the review provides comprehensive coverage on the advances in genomics to meet the ever-growing demands for agricultural produce.
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Affiliation(s)
- Roshan Kumar Singh
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Ashish Prasad
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Mehanathan Muthamilarasan
- Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Hyderabad, Telangana, 500046, India
| | - Swarup K Parida
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Manoj Prasad
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067, India.
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11
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Riaz A, KockAppelgren P, Hehir JG, Kang J, Meade F, Cockram J, Milbourne D, Spink J, Mullins E, Byrne S. Genetic Analysis Using a Multi-Parent Wheat Population Identifies Novel Sources of Septoria Tritici Blotch Resistance. Genes (Basel) 2020; 11:E887. [PMID: 32759792 PMCID: PMC7465482 DOI: 10.3390/genes11080887] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 07/31/2020] [Accepted: 07/31/2020] [Indexed: 12/12/2022] Open
Abstract
Zymoseptoria tritici is the causative fungal pathogen of septoria tritici blotch (STB) disease of wheat (Triticum aestivum L.) that continuously threatens wheat crops in Ireland and throughout Europe. Under favorable conditions, STB can cause up to 50% yield losses if left untreated. STB is commonly controlled with fungicides; however, a combination of Z. tritici populations developing fungicide resistance and increased restrictions on fungicide use in the EU has led to farmers relying on fewer active substances. Consequently, this serves to drive the emergence of Z. tritici resistance against the remaining chemistries. In response, the use of resistant wheat varieties provides a more sustainable disease management strategy. However, the number of varieties offering an adequate level of resistance against STB is limited. Therefore, new sources of resistance or improved stacking of existing resistance loci are needed to develop varieties with superior agronomic performance. Here, we identified quantitative trait loci (QTL) for STB resistance in the eight-founder "NIAB Elite MAGIC" winter wheat population. The population was screened for STB response in the field under natural infection for three seasons from 2016 to 2018. Twenty-five QTL associated with STB resistance were identified in total. QTL either co-located with previously reported QTL or represent new loci underpinning STB resistance. The genomic regions identified and the linked genetic markers serve as useful resources for STB resistance breeding, supporting rapid selection of favorable alleles for the breeding of new wheat cultivars with improved STB resistance.
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Affiliation(s)
- Adnan Riaz
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
| | - Petra KockAppelgren
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
| | - James Gerard Hehir
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
| | - Jie Kang
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
- AgResearch, Invermay Agricultural Centre, Private Bag, Mosgiel 50034, New Zealand
- Department of Mathematics and Statistics, University of Otago, Dunedin 9016, New Zealand
| | - Fergus Meade
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
| | - James Cockram
- The John Bingham Laboratory, NIAB, Cambridge CB3 0LE, UK;
| | - Dan Milbourne
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
| | - John Spink
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
| | - Ewen Mullins
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
| | - Stephen Byrne
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
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12
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Gage JL, Monier B, Giri A, Buckler ES. Ten Years of the Maize Nested Association Mapping Population: Impact, Limitations, and Future Directions. THE PLANT CELL 2020; 32:2083-2093. [PMID: 32398275 PMCID: PMC7346555 DOI: 10.1105/tpc.19.00951] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 04/02/2020] [Accepted: 05/11/2020] [Indexed: 05/21/2023]
Abstract
It has been just over a decade since the release of the maize (Zea mays) Nested Association Mapping (NAM) population. The NAM population has been and continues to be an invaluable resource for the maize genetics community and has yielded insights into the genetic architecture of complex traits. The parental lines have become some of the most well-characterized maize germplasm, and their de novo assemblies were recently made publicly available. As we enter an exciting new stage in maize genomics, this retrospective will summarize the design and intentions behind the NAM population; its application, the discoveries it has enabled, and its influence in other systems; and use the past decade of hindsight to consider whether and how it will remain useful in a new age of genomics.
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Affiliation(s)
- Joseph L Gage
- U.S. Department of Agriculture-Agricultural Research Service, Ithaca, New York 14853
- Institute for Genomic Diversity, Cornell University, Ithaca, New York 14853
| | - Brandon Monier
- Institute for Genomic Diversity, Cornell University, Ithaca, New York 14853
| | - Anju Giri
- Institute for Genomic Diversity, Cornell University, Ithaca, New York 14853
| | - Edward S Buckler
- U.S. Department of Agriculture-Agricultural Research Service, Ithaca, New York 14853
- Institute for Genomic Diversity, Cornell University, Ithaca, New York 14853
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, New York 14853
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13
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Can H, Kal U, Ozyigit II, Paksoy M, Turkmen O. Construction, characteristics and high throughput molecular screening methodologies in some special breeding populations: a horticultural perspective. J Genet 2019; 98:86. [PMID: 31544799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Advanced marker technologies are widely used for evaluation of genetic diversity in cultivated crops, wild ancestors, landraces or any special plant genotypes. Developing agricultural cultivars requires the following steps: (i) determining desired characteristics to be improved, (ii) screening genetic resources to help find a superior cultivar, (iii) intercrossing selected individuals, (iv) generating genetically hybrid populations and screening them for agro-morphological or molecular traits, (v) evaluating the superior cultivar candidates, (vi) testing field performance at different locations, and (vii) certifying. In the cultivar development process valuable genes can be identified by creating special biparental or multiparental populations and analysing their association using suitable markers in given populations. These special populations and advanced marker technologies give us a deeper knowledge about the inherited agronomic characteristics. Unaffected by the changing environmental conditions, these provide a higher understanding of genome dynamics in plants. The last decade witnessed new applications for advanced molecular techniques in the area of breeding,with low costs per sample. These, especially, include next-generation sequencing technologies like reduced representation genome sequencing (genotyping by sequencing, restriction site-associated DNA). These enabled researchers to develop new markers, such as simple sequence repeat and single- nucleotide polymorphism, for expanding the qualitative and quantitative information onpopulation dynamics. Thus, the knowledge acquired from novel technologies is a valuable asset for the breeding process and to better understand the population dynamics, their properties, and analysis methods.
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Affiliation(s)
- Hasan Can
- Faculty of Agriculture, Department of Field Crops and Horticulture, Kyrgyz-Turkish Manas University, Bishkek 720038, Kyrgyzstan.
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Tello J, Roux C, Chouiki H, Laucou V, Sarah G, Weber A, Santoni S, Flutre T, Pons T, This P, Péros JP, Doligez A. A novel high-density grapevine (Vitis vinifera L.) integrated linkage map using GBS in a half-diallel population. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:2237-2252. [PMID: 31049634 DOI: 10.1007/s00122-019-03351-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 04/20/2019] [Indexed: 05/21/2023]
Abstract
A half-diallel population involving five elite grapevine cultivars was generated and genotyped by GBS, and highly-informative segregation data was used to construct a high-density genetic map for Vitis vinifera L. Grapevine is one of the most relevant fruit crops in the world. Deeper genetic knowledge could assist modern grapevine breeding programs to develop new wine grape varieties able to face climate change effects. To assist in the rapid identification of markers for crop yield components, grape quality traits and adaptation potential, we generated a large Vitis vinifera L. population (N = 624) by crossing five red wine cultivars in a half-diallel scheme, which was subsequently sequenced by an efficient GBS procedure. A high number of fully informative genetic variants was detected using a novel mapping approach capable of reconstructing local haplotypes from adjacent biallelic SNPs, which were subsequently used to construct the densest consensus genetic map available for the cultivated grapevine to date. This 1378.3-cM map integrates 10 bi-parental consensus maps and orders 4437 markers in 3353 unique positions on 19 chromosomes. Markers are well distributed all along the grapevine reference genome, covering up to 98.8% of its genomic sequence. Additionally, a good agreement was observed between genetic and physical orders, adding confidence in the quality of this map. Collectively, our results pave the way for future genetic studies (such as fine QTL mapping) aimed to understand the complex relationship between genotypic and phenotypic variation in the cultivated grapevine. In addition, the method used (which efficiently delivers a high number of fully informative markers) could be of interest to other outbred organisms, notably perennial fruit crops.
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Affiliation(s)
- Javier Tello
- UMR AGAP, University of Montpellier-CIRAD-INRA-Montpellier SupAgro, Montpellier, France
- UMT Geno-Vigne®, IFV-INRA-Montpellier SupAgro, Montpellier, France
| | - Catherine Roux
- UMR AGAP, University of Montpellier-CIRAD-INRA-Montpellier SupAgro, Montpellier, France
- UMT Geno-Vigne®, IFV-INRA-Montpellier SupAgro, Montpellier, France
| | - Hajar Chouiki
- UMR AGAP, University of Montpellier-CIRAD-INRA-Montpellier SupAgro, Montpellier, France
| | - Valérie Laucou
- UMR AGAP, University of Montpellier-CIRAD-INRA-Montpellier SupAgro, Montpellier, France
- UMT Geno-Vigne®, IFV-INRA-Montpellier SupAgro, Montpellier, France
| | - Gautier Sarah
- UMR AGAP, University of Montpellier-CIRAD-INRA-Montpellier SupAgro, Montpellier, France
- UMT Geno-Vigne®, IFV-INRA-Montpellier SupAgro, Montpellier, France
| | - Audrey Weber
- UMR AGAP, University of Montpellier-CIRAD-INRA-Montpellier SupAgro, Montpellier, France
| | - Sylvain Santoni
- UMR AGAP, University of Montpellier-CIRAD-INRA-Montpellier SupAgro, Montpellier, France
| | - Timothée Flutre
- UMR AGAP, University of Montpellier-CIRAD-INRA-Montpellier SupAgro, Montpellier, France
- UMT Geno-Vigne®, IFV-INRA-Montpellier SupAgro, Montpellier, France
| | - Thierry Pons
- UMR AGAP, University of Montpellier-CIRAD-INRA-Montpellier SupAgro, Montpellier, France
- UMT Geno-Vigne®, IFV-INRA-Montpellier SupAgro, Montpellier, France
| | - Patrice This
- UMR AGAP, University of Montpellier-CIRAD-INRA-Montpellier SupAgro, Montpellier, France
- UMT Geno-Vigne®, IFV-INRA-Montpellier SupAgro, Montpellier, France
| | - Jean-Pierre Péros
- UMR AGAP, University of Montpellier-CIRAD-INRA-Montpellier SupAgro, Montpellier, France
- UMT Geno-Vigne®, IFV-INRA-Montpellier SupAgro, Montpellier, France
| | - Agnès Doligez
- UMR AGAP, University of Montpellier-CIRAD-INRA-Montpellier SupAgro, Montpellier, France.
- UMT Geno-Vigne®, IFV-INRA-Montpellier SupAgro, Montpellier, France.
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15
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Kidane YG, Gesesse CA, Hailemariam BN, Desta EA, Mengistu DK, Fadda C, Pè ME, Dell'Acqua M. A large nested association mapping population for breeding and quantitative trait locus mapping in Ethiopian durum wheat. PLANT BIOTECHNOLOGY JOURNAL 2019; 17:1380-1393. [PMID: 30575264 PMCID: PMC6576139 DOI: 10.1111/pbi.13062] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 12/11/2018] [Accepted: 12/15/2018] [Indexed: 05/11/2023]
Abstract
The Ethiopian plateau hosts thousands of durum wheat (Triticum turgidum subsp. durum) farmer varieties (FV) with high adaptability and breeding potential. To harness their unique allelic diversity, we produced a large nested association mapping (NAM) population intercrossing fifty Ethiopian FVs with an international elite durum wheat variety (Asassa). The Ethiopian NAM population (EtNAM) is composed of fifty interconnected bi-parental families, totalling 6280 recombinant inbred lines (RILs) that represent both a powerful quantitative trait loci (QTL) mapping tool, and a large pre-breeding panel. Here, we discuss the molecular and phenotypic diversity of the EtNAM founder lines, then we use an array featuring 13 000 single nucleotide polymorphisms (SNPs) to characterize a subset of 1200 EtNAM RILs from 12 families. Finally, we test the usefulness of the population by mapping phenology traits and plant height using a genome wide association (GWA) approach. EtNAM RILs showed high allelic variation and a genetic makeup combining genetic diversity from Ethiopian FVs with the international durum wheat allele pool. EtNAM SNP data were projected on the fully sequenced AB genome of wild emmer wheat, and were used to estimate pairwise linkage disequilibrium (LD) measures that reported an LD decay distance of 7.4 Mb on average, and balanced founder contributions across EtNAM families. GWA analyses identified 11 genomic loci individually affecting up to 3 days in flowering time and more than 1.6 cm in height. We argue that the EtNAM is a powerful tool to support the production of new durum wheat varieties targeting local and global agriculture.
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Affiliation(s)
- Yosef G. Kidane
- Institute of Life SciencesScuola Superiore Sant'AnnaPisaItaly
- Bioversity InternationalAddis AbabaEthiopia
| | - Cherinet A. Gesesse
- Institute of Life SciencesScuola Superiore Sant'AnnaPisaItaly
- Amhara Regional Agricultural Research Institute (ARARI)Adet Agricultural Research CenterBahir DarEthiopia
| | | | - Ermias A. Desta
- Amhara Regional Agricultural Research Institute (ARARI)Adet Agricultural Research CenterBahir DarEthiopia
| | - Dejene K. Mengistu
- Institute of Life SciencesScuola Superiore Sant'AnnaPisaItaly
- Department of Dryland Crop and Horticultural SciencesMekelle UniversityMekelleEthiopia
| | | | - Mario Enrico Pè
- Institute of Life SciencesScuola Superiore Sant'AnnaPisaItaly
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16
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Septiani P, Lanubile A, Stagnati L, Busconi M, Nelissen H, Pè ME, Dell'Acqua M, Marocco A. Unravelling the genetic basis of Fusarium seedling rot resistance in the MAGIC maize population: novel targets for breeding. Sci Rep 2019; 9:5665. [PMID: 30952942 PMCID: PMC6451006 DOI: 10.1038/s41598-019-42248-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Accepted: 03/26/2019] [Indexed: 12/16/2022] Open
Abstract
Fungal infection by Fusarium verticillioides is cause of prevalent maize disease leading to substantial reductions in yield and grain quality worldwide. Maize resistance to the fungus may occur at different developmental stages, from seedling to maturity. The breeding of resistant maize genotypes may take advantage of the identification of quantitative trait loci (QTL) responsible for disease resistance already commenced at seedling level. The Multi-parent Advance Generation Intercross (MAGIC) population was used to conduct high-definition QTL mapping for Fusarium seedling rot (FSR) resistance using rolled towel assay. Infection severity level, seedling weight and length were measured on 401 MAGIC maize recombinant inbred lines (RILs). QTL mapping was performed on reconstructed RIL haplotypes. One-fifth of the MAGIC RILs were resistant to FSR and 10 QTL were identified. For FSR, two QTL were detected at 2.8 Mb and 241.8 Mb on chromosome 4, and one QTL at 169.6 Mb on chromosome 5. Transcriptomic and sequencing information generated on the MAGIC founder lines was used to guide the identification of eight candidate genes within the identified FSR QTL. We conclude that the rolled towel assay applied to the MAGIC maize population provides a fast and cost-effective method to identify QTL and candidate genes for early resistance to F. verticillioides in maize.
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Affiliation(s)
- Popi Septiani
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, 56127, Italy
| | - Alessandra Lanubile
- Department of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Piacenza, 29122, Italy
| | - Lorenzo Stagnati
- Department of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Piacenza, 29122, Italy
| | - Matteo Busconi
- Department of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Piacenza, 29122, Italy
| | - Hilde Nelissen
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, B-9052, Belgium
- VIB Centre for Plant Systems Biology, Ghent, B-9052, Belgium
| | - Mario Enrico Pè
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, 56127, Italy
| | - Matteo Dell'Acqua
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, 56127, Italy
| | - Adriano Marocco
- Department of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Piacenza, 29122, Italy.
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Lorang J. Necrotrophic Exploitation and Subversion of Plant Defense: A Lifestyle or Just a Phase, and Implications in Breeding Resistance. PHYTOPATHOLOGY 2019; 109:332-346. [PMID: 30451636 DOI: 10.1094/phyto-09-18-0334-ia] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Breeding disease-resistant plants is a critical, environmentally friendly component of any strategy to sustainably feed and clothe the 9.8 billion people expected to live on Earth by 2050. Here, I review current literature detailing plant defense responses as they relate to diverse biological outcomes; disease resistance, susceptibility, and establishment of mutualistic plant-microbial relationships. Of particular interest is the degree to which these outcomes are a function of plant-associated microorganisms' lifestyles; biotrophic, hemibiotrophic, necrotrophic, or mutualistic. For the sake of brevity, necrotrophic pathogens and the necrotrophic phase of pathogenicity are emphasized in this review, with special attention given to the host-specific pathogens that exploit defense. Defense responses related to generalist necrotrophs and mutualists are discussed in the context of excellent reviews by others. In addition, host evolutionary trade-offs of disease resistance with other desirable traits are considered in the context of breeding for durable disease resistance.
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Affiliation(s)
- Jennifer Lorang
- Department of Botany, 2082 Cordley Hall, Oregon State University, Corvallis 97331
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18
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Fradgley N, Gardner KA, Cockram J, Elderfield J, Hickey JM, Howell P, Jackson R, Mackay IJ. A large-scale pedigree resource of wheat reveals evidence for adaptation and selection by breeders. PLoS Biol 2019; 17:e3000071. [PMID: 30818353 PMCID: PMC6413959 DOI: 10.1371/journal.pbio.3000071] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Revised: 03/12/2019] [Accepted: 02/08/2019] [Indexed: 11/26/2022] Open
Abstract
Information on crop pedigrees can be used to help maximise genetic gain in crop breeding and allow efficient management of genetic resources. We present a pedigree resource of 2,657 wheat (Triticum aestivum L.) genotypes originating from 38 countries, representing more than a century of breeding and variety development. Visualisation of the pedigree enables illustration of the key developments in United Kingdom wheat breeding, highlights the wide genetic background of the UK wheat gene pool, and facilitates tracing the origin of beneficial alleles. A relatively high correlation between pedigree- and marker-based kinship coefficients was found, which validated the pedigree and enabled identification of errors in the pedigree or marker data. Using simulations with a combination of pedigree and genotype data, we found evidence for significant effects of selection by breeders. Within crosses, genotypes are often more closely related than expected by simulations to one of the parents, which indicates selection for favourable alleles during the breeding process. Selection across the pedigree was demonstrated on a subset of the pedigree in which 110 genotyped varieties released before the year 2000 were used to simulate the distribution of marker alleles of 45 genotyped varieties released after the year 2000, in the absence of selection. Allelic diversity in the 45 varieties was found to deviate significantly from the simulated distributions at a number of loci, indicating regions under selection over this period. The identification of one of these regions as coinciding with a strong yield component quantitative trait locus (QTL) highlights both the potential of the remaining loci as wheat breeding targets for further investigation, as well as the utility of this pedigree-based methodology to identify important breeding targets in other crops. Further evidence for selection was found as greater linkage disequilibrium (LD) for observed versus simulated genotypes within all chromosomes. This difference was greater at shorter genetic distances, indicating that breeder selections have conserved beneficial linkage blocks. Collectively, this work highlights the benefits of generating detailed pedigree resources for crop species. The wheat pedigree database developed here represents a valuable community resource and will be updated as new varieties are released at https://www.niab.com/pages/id/501/UK_Wheat_varieties_Pedigree. Breeding activities undertaken in the world’s most important crop species have resulted in large increases in yield potential over the last century. Bread wheat is a key crop for both human and animal nutrition worldwide. To help inform future breeding and research activities, we have developed a pedigree resource of over 2,600 bread wheat accessions, originating from 38 countries and representing more than a century of breeding and variety development. Pedigree-based relationships between lines are largely confirmed by genetic marker data. By combining the genetic and pedigree data sets, we are able to identify genetic signatures of selection across the pedigree, identifying genomic regions selected for via modern breeding activities. The resource developed here will serve as an evolving platform to inform and manage wheat genetic diversity in breeding programmes around the world and highlights the utility of developing and exploiting similar resources in other crop species.
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Affiliation(s)
- Nick Fradgley
- The John Bingham Laboratory, NIAB, Cambridge, United Kingdom
- * E-mail:
| | | | - James Cockram
- The John Bingham Laboratory, NIAB, Cambridge, United Kingdom
| | | | - John M. Hickey
- The Roslin Institute, University of Edinburgh, Easter Bush, Midlothian, United Kingdom
| | - Phil Howell
- The John Bingham Laboratory, NIAB, Cambridge, United Kingdom
| | - Robert Jackson
- The John Bingham Laboratory, NIAB, Cambridge, United Kingdom
| | - Ian J. Mackay
- The John Bingham Laboratory, NIAB, Cambridge, United Kingdom
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19
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Stadlmeier M, Hartl L, Mohler V. Usefulness of a Multiparent Advanced Generation Intercross Population With a Greatly Reduced Mating Design for Genetic Studies in Winter Wheat. FRONTIERS IN PLANT SCIENCE 2018; 9:1825. [PMID: 30574161 PMCID: PMC6291512 DOI: 10.3389/fpls.2018.01825] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 11/23/2018] [Indexed: 05/05/2023]
Abstract
Multiparent advanced generation intercross (MAGIC) populations were recently developed to allow the high-resolution mapping of quantitative traits. We present a genetic linkage map of an elite but highly diverse eight-founder MAGIC population in common wheat (Triticum aestivum L.). Our MAGIC population is composed of 394 F6:8 recombinant inbred lines lacking significant signatures of population structure. The linkage map included 5435 SNP markers distributed over 2804 loci and spanning 5230 cM. The analysis of population parameters, including genetic structure, kinship, founder probabilities, and linkage disequilibrium and congruency to other maps indicated appropriate construction of both the population and the genetic map. It was shown that eight-founder MAGIC populations exhibit a greater number of loci and higher recombination rates, especially in the pericentromeric regions, compared to four-founder MAGIC, and biparental populations. In addition, our greatly simplified eight-parental MAGIC mating design with an additional eight-way intercross step was found to be equivalent to a MAGIC design with all 210 possible four-way crosses regarding the levels of missing founder assignments and the number of recombination events. Furthermore, the MAGIC population captured 71.7% of the allelic diversity available in the German wheat breeding gene pool. As a proof of principle, we demonstrated the application of the resource for quantitative trait loci mapping analyzing seedling resistance to powdery mildew. As wheat is a crop with many breeding objectives, this resource will allow scientists and breeders to carry out genetic studies for a wide range of breeder-relevant parameters in a single genetic background and reveal possible interactions between traits of economic importance.
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Affiliation(s)
- Melanie Stadlmeier
- Bavarian State Research Center for Agriculture, Institute for Crop Science and Plant Breeding, Freising, Germany
- TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
| | - Lorenz Hartl
- Bavarian State Research Center for Agriculture, Institute for Crop Science and Plant Breeding, Freising, Germany
| | - Volker Mohler
- Bavarian State Research Center for Agriculture, Institute for Crop Science and Plant Breeding, Freising, Germany
- TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
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Abstract
Climate change, associated with global warming, extreme weather events, and increasing incidence of weeds, pests and pathogens, is strongly influencing major cropping systems. In this challenging scenario, miscellaneous strategies are needed to expedite the rate of genetic gains with the purpose of developing novel varieties. Large plant breeding populations, efficient high-throughput technologies, big data management tools, and downstream biotechnology and molecular techniques are the pillars on which next generation breeding is based. In this review, we describe the toolbox the breeder has to face the challenges imposed by climate change, remark on the key role bioinformatics plays in the analysis and interpretation of big “omics” data, and acknowledge all the benefits that have been introduced into breeding strategies with the biotechnological and digital revolution.
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Joint Analysis of Strain and Parent-of-Origin Effects for Recombinant Inbred Intercrosses Generated from Multiparent Populations with the Collaborative Cross as an Example. G3-GENES GENOMES GENETICS 2018; 8:599-605. [PMID: 29255115 PMCID: PMC5919741 DOI: 10.1534/g3.117.300483] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Multiparent populations (MPP) have become popular resources for complex trait mapping because of their wider allelic diversity and larger population size compared with traditional two-way recombinant inbred (RI) strains. In mice, the collaborative cross (CC) is one of the most popular MPP and is derived from eight genetically diverse inbred founder strains. The strategy of generating RI intercrosses (RIX) from MPP in general and from the CC in particular can produce a large number of completely reproducible heterozygote genomes that better represent the (outbred) human population. Since both maternal and paternal haplotypes of each RIX are readily available, RIX is a powerful resource for studying both standing genetic and epigenetic variations of complex traits, in particular, the parent-of-origin (PoO) effects, which are important contributors to many complex traits. Furthermore, most complex traits are affected by >1 genes, where multiple quantitative trait locus mapping could be more advantageous. In this paper, for MPP-RIX data but taking CC-RIX as a working example, we propose a general Bayesian variable selection procedure to simultaneously search for multiple genes with founder allelic effects and PoO effects. The proposed model respects the complex relationship among RIX samples, and the performance of the proposed method is examined by extensive simulations.
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Affiliation(s)
- Ian M Ehrenreich
- Molecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, California 90089-2910
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Affiliation(s)
- Ian M Ehrenreich
- Molecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, California 90089-2910
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