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Yu P, Li C, Li M, He X, Wang D, Li H, Marcon C, Li Y, Perez-Limón S, Chen X, Delgado-Baquerizo M, Koller R, Metzner R, van Dusschoten D, Pflugfelder D, Borisjuk L, Plutenko I, Mahon A, Resende MFR, Salvi S, Akale A, Abdalla M, Ahmed MA, Bauer FM, Schnepf A, Lobet G, Heymans A, Suresh K, Schreiber L, McLaughlin CM, Li C, Mayer M, Schön CC, Bernau V, von Wirén N, Sawers RJH, Wang T, Hochholdinger F. Seedling root system adaptation to water availability during maize domestication and global expansion. Nat Genet 2024; 56:1245-1256. [PMID: 38778242 DOI: 10.1038/s41588-024-01761-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 04/19/2024] [Indexed: 05/25/2024]
Abstract
The maize root system has been reshaped by indirect selection during global adaptation to new agricultural environments. In this study, we characterized the root systems of more than 9,000 global maize accessions and its wild relatives, defining the geographical signature and genomic basis of variation in seminal root number. We demonstrate that seminal root number has increased during maize domestication followed by a decrease in response to limited water availability in locally adapted varieties. By combining environmental and phenotypic association analyses with linkage mapping, we identified genes linking environmental variation and seminal root number. Functional characterization of the transcription factor ZmHb77 and in silico root modeling provides evidence that reshaping root system architecture by reducing the number of seminal roots and promoting lateral root density is beneficial for the resilience of maize seedlings to drought.
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Affiliation(s)
- Peng Yu
- Crop Functional Genomics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, Germany.
- Emmy Noether Group Root Functional Biology, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, Germany.
| | - Chunhui Li
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, PR China
| | - Meng Li
- Department of Plant Science, The Pennsylvania State University, State College, PA, USA
| | - Xiaoming He
- Crop Functional Genomics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, Germany
- Emmy Noether Group Root Functional Biology, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, Germany
| | - Danning Wang
- Crop Functional Genomics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, Germany
- Emmy Noether Group Root Functional Biology, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, Germany
| | - Hongjie Li
- Crop Functional Genomics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, Germany
- Emmy Noether Group Root Functional Biology, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, Germany
| | - Caroline Marcon
- Crop Functional Genomics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, Germany
| | - Yu Li
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, PR China
| | - Sergio Perez-Limón
- Department of Plant Science, The Pennsylvania State University, State College, PA, USA
| | - Xinping Chen
- College of Resources and Environment, and Academy of Agricultural Sciences, Southwest University (SWU), Chongqing, PR China
| | - Manuel Delgado-Baquerizo
- Laboratorio de Biodiversidad y Funcionamiento Ecosistémico. Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS), CSIC, Sevilla, Spain
- Unidad Asociada CSIC-UPO (BioFun), Universidad Pablo de Olavide, Sevilla, Spain
| | - Robert Koller
- Institute of Bio- and Geosciences, Plant Sciences (IBG-2), Forschungszentrum Juelich GmbH, Juelich, Germany
| | - Ralf Metzner
- Institute of Bio- and Geosciences, Plant Sciences (IBG-2), Forschungszentrum Juelich GmbH, Juelich, Germany
| | - Dagmar van Dusschoten
- Institute of Bio- and Geosciences, Plant Sciences (IBG-2), Forschungszentrum Juelich GmbH, Juelich, Germany
| | - Daniel Pflugfelder
- Institute of Bio- and Geosciences, Plant Sciences (IBG-2), Forschungszentrum Juelich GmbH, Juelich, Germany
| | - Ljudmilla Borisjuk
- Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany
| | - Iaroslav Plutenko
- Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany
| | - Audrey Mahon
- Horticultural Sciences Department, University of Florida, Gainesville, FL, USA
| | - Marcio F R Resende
- Horticultural Sciences Department, University of Florida, Gainesville, FL, USA
| | - Silvio Salvi
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Asegidew Akale
- Chair of Root-Soil Interactions, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Mohanned Abdalla
- Chair of Root-Soil Interactions, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Mutez Ali Ahmed
- Chair of Root-Soil Interactions, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Felix Maximilian Bauer
- Institute of Bio- and Geosciences, Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Andrea Schnepf
- Institute of Bio- and Geosciences, Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Guillaume Lobet
- Institute of Bio- and Geosciences, Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, Jülich, Germany
- Earth and Life Institute, Université catholique de Louvain, UCLouvain, Belgium
| | - Adrien Heymans
- Earth and Life Institute, Université catholique de Louvain, UCLouvain, Belgium
| | - Kiran Suresh
- Institute of Cellular and Molecular Botany (IZMB), Department of Ecophysiology, University of Bonn, Bonn, Germany
| | - Lukas Schreiber
- Institute of Cellular and Molecular Botany (IZMB), Department of Ecophysiology, University of Bonn, Bonn, Germany
| | - Chloee M McLaughlin
- Intercollege Graduate Degree Program in Plant Biology, The Pennsylvania State University, State College, PA, USA
| | - Chunjian Li
- Key Laboratory of Plant-Soil Interactions, College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, Ministry of Education, China Agricultural University, Beijing, PR China
| | - Manfred Mayer
- Plant Breeding, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Chris-Carolin Schön
- Plant Breeding, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Vivian Bernau
- North Central Regional Plant Introduction Station, USDA-Agriculture Research Service and Iowa State University, Ames, IA, USA
| | - Nicolaus von Wirén
- Department of Physiology and Cell Biology, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany
| | - Ruairidh J H Sawers
- Department of Plant Science, The Pennsylvania State University, State College, PA, USA.
| | - Tianyu Wang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, PR China.
| | - Frank Hochholdinger
- Crop Functional Genomics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, Germany.
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Mastrangelo AM, Hartings H, Lanzanova C, Balconi C, Locatelli S, Cassol H, Valoti P, Petruzzino G, Pecchioni N. Genetic Diversity within a Collection of Italian Maize Inbred Lines: A Resource for Maize Genomics and Breeding. PLANTS (BASEL, SWITZERLAND) 2024; 13:336. [PMID: 38337869 PMCID: PMC10857507 DOI: 10.3390/plants13030336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 01/16/2024] [Accepted: 01/17/2024] [Indexed: 02/12/2024]
Abstract
Genetic diversity is fundamental for studying the complex architecture of the traits of agronomic importance, controlled by major and minor loci. Moreover, well-characterized germplasm collections are essential tools for dissecting and analyzing genetic and phenotypic diversity in crops. A panel of 360 entries, a subset of a larger collection maintained within the GenBank at CREA Bergamo, which includes the inbreds derived from traditional Italian maize open-pollinated (OP) varieties and advanced breeding ones (Elite Inbreds), was analyzed to identify SNP markers using the tGBS® genotyping-by-sequencing technology. A total of 797,368 SNPs were found during the initial analysis. Imputation and filtering processes were carried out based on the percentage of missing data, redundant markers, and rarest allele frequencies, resulting in a final dataset of 15,872 SNP markers for which a physical map position was identified. Using this dataset, the inbred panel was characterized for linkage disequilibrium (LD), genetic diversity, population structure, and genetic relationships. LD decay at a genome-wide level indicates that the collection is a suitable resource for association mapping. Population structure analyses, which were carried out with different clustering methods, showed stable grouping statistics for four groups, broadly corresponding to 'Insubria', 'Microsperma', and 'Scagliolino' genotypes, with a fourth group composed prevalently of elite accessions derived from Italian and US breeding programs. Based on these results, the CREA Italian maize collection, genetically characterized in this study, can be considered an important tool for the mapping and characterization of useful traits and associated loci/alleles, to be used in maize breeding programs.
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Affiliation(s)
- Anna Maria Mastrangelo
- CREA-Centro di Ricerca Cerealicoltura e Colture Industriali/Research Centre for Cereal and Industrial Crops, SS 673 Metri 25200, 71122 Foggia, Italy; (G.P.); (N.P.)
| | - Hans Hartings
- CREA-Centro di Ricerca Cerealicoltura e Colture Industriali/Research Centre for Cereal and Industrial Crops, Via Stezzano 24, 24126 Bergamo, Italy; (H.H.); (C.L.); (C.B.); (S.L.); (H.C.); (P.V.)
| | - Chiara Lanzanova
- CREA-Centro di Ricerca Cerealicoltura e Colture Industriali/Research Centre for Cereal and Industrial Crops, Via Stezzano 24, 24126 Bergamo, Italy; (H.H.); (C.L.); (C.B.); (S.L.); (H.C.); (P.V.)
| | - Carlotta Balconi
- CREA-Centro di Ricerca Cerealicoltura e Colture Industriali/Research Centre for Cereal and Industrial Crops, Via Stezzano 24, 24126 Bergamo, Italy; (H.H.); (C.L.); (C.B.); (S.L.); (H.C.); (P.V.)
| | - Sabrina Locatelli
- CREA-Centro di Ricerca Cerealicoltura e Colture Industriali/Research Centre for Cereal and Industrial Crops, Via Stezzano 24, 24126 Bergamo, Italy; (H.H.); (C.L.); (C.B.); (S.L.); (H.C.); (P.V.)
| | - Helga Cassol
- CREA-Centro di Ricerca Cerealicoltura e Colture Industriali/Research Centre for Cereal and Industrial Crops, Via Stezzano 24, 24126 Bergamo, Italy; (H.H.); (C.L.); (C.B.); (S.L.); (H.C.); (P.V.)
| | - Paolo Valoti
- CREA-Centro di Ricerca Cerealicoltura e Colture Industriali/Research Centre for Cereal and Industrial Crops, Via Stezzano 24, 24126 Bergamo, Italy; (H.H.); (C.L.); (C.B.); (S.L.); (H.C.); (P.V.)
| | - Giuseppe Petruzzino
- CREA-Centro di Ricerca Cerealicoltura e Colture Industriali/Research Centre for Cereal and Industrial Crops, SS 673 Metri 25200, 71122 Foggia, Italy; (G.P.); (N.P.)
| | - Nicola Pecchioni
- CREA-Centro di Ricerca Cerealicoltura e Colture Industriali/Research Centre for Cereal and Industrial Crops, SS 673 Metri 25200, 71122 Foggia, Italy; (G.P.); (N.P.)
- CREA-Centro di Ricerca Cerealicoltura e Colture Industriali/Research Centre for Cereal and Industrial Crops, Via Stezzano 24, 24126 Bergamo, Italy; (H.H.); (C.L.); (C.B.); (S.L.); (H.C.); (P.V.)
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Sanchez D, Allier A, Ben Sadoun S, Mary-Huard T, Bauland C, Palaffre C, Lagardère B, Madur D, Combes V, Melkior S, Bettinger L, Murigneux A, Moreau L, Charcosset A. Assessing the potential of genetic resource introduction into elite germplasm: a collaborative multiparental population for flint maize. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:19. [PMID: 38214870 PMCID: PMC10786986 DOI: 10.1007/s00122-023-04509-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 11/18/2023] [Indexed: 01/13/2024]
Abstract
KEY MESSAGE Implementing a collaborative pre-breeding multi-parental population efficiently identifies promising donor x elite pairs to enrich the flint maize elite germplasm. Genetic diversity is crucial for maintaining genetic gains and ensuring breeding programs' long-term success. In a closed breeding program, selection inevitably leads to a loss of genetic diversity. While managing diversity can delay this loss, introducing external sources of diversity is necessary to bring back favorable genetic variation. Genetic resources exhibit greater diversity than elite materials, but their lower performance levels hinder their use. This is the case for European flint maize, for which elite germplasm has incorporated only a limited portion of the diversity available in landraces. To enrich the diversity of this elite genetic pool, we established an original cooperative maize bridging population that involves crosses between private elite materials and diversity donors to create improved genotypes that will facilitate the incorporation of original favorable variations. Twenty donor × elite BC1S2 families were created and phenotyped for hybrid value for yield related traits. Crosses showed contrasted means and variances and therefore contrasted potential in terms of selection as measured by their usefulness criterion (UC). Average expected mean performance gain over the initial elite material was 5%. The most promising donor for each elite line was identified. Results also suggest that one more generation, i.e., 3 in total, of crossing to the elite is required to fully exploit the potential of a donor. Altogether, our results support the usefulness of incorporating genetic resources into elite flint maize. They call for further effort to create fixed diversity donors and identify those most suitable for each elite program.
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Affiliation(s)
- Dimitri Sanchez
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, Génétique Quantitative et Evolution-Le Moulon, 91190, Gif-Sur-Yvette, France
| | - Antoine Allier
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, Génétique Quantitative et Evolution-Le Moulon, 91190, Gif-Sur-Yvette, France
- Syngenta, 12 Chemin de L'Hobit, 31790, Saint-Sauveur, France
| | - Sarah Ben Sadoun
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, Génétique Quantitative et Evolution-Le Moulon, 91190, Gif-Sur-Yvette, France
| | - Tristan Mary-Huard
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, Génétique Quantitative et Evolution-Le Moulon, 91190, Gif-Sur-Yvette, France
- Université Paris-Saclay, AgroParisTech, INRAE, UMR MIA-Paris Saclay, 91120, Palaiseau, France
| | - Cyril Bauland
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, Génétique Quantitative et Evolution-Le Moulon, 91190, Gif-Sur-Yvette, France
| | - Carine Palaffre
- UE 0394 SMH, INRAE, 2297 Route de l'INRA, 40390, Saint-Martin-de-Hinx, France
| | - Bernard Lagardère
- UE 0394 SMH, INRAE, 2297 Route de l'INRA, 40390, Saint-Martin-de-Hinx, France
| | - Delphine Madur
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, Génétique Quantitative et Evolution-Le Moulon, 91190, Gif-Sur-Yvette, France
| | - Valérie Combes
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, Génétique Quantitative et Evolution-Le Moulon, 91190, Gif-Sur-Yvette, France
| | | | | | - Alain Murigneux
- Limagrain Europe, 28 Route d'Ennezat, 63720, Chappes, France
| | - Laurence Moreau
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, Génétique Quantitative et Evolution-Le Moulon, 91190, Gif-Sur-Yvette, France
| | - Alain Charcosset
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, Génétique Quantitative et Evolution-Le Moulon, 91190, Gif-Sur-Yvette, France.
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4
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Galić V, Anđelković V, Kravić N, Grčić N, Ledenčan T, Jambrović A, Zdunić Z, Nicolas S, Charcosset A, Šatović Z, Šimić D. Genetic diversity and selection signatures in a gene bank panel of maize inbred lines from Southeast Europe compared with two West European panels. BMC PLANT BIOLOGY 2023; 23:315. [PMID: 37316827 PMCID: PMC10265872 DOI: 10.1186/s12870-023-04336-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 06/07/2023] [Indexed: 06/16/2023]
Abstract
Southeast Europe (SEE) is a very important maize-growing region, comparable to the Corn belt region of the United States, with similar dent germplasm (dent by dent hybrids). Historically, this region has undergone several genetic material swaps, following the trends in the US, with one of the most significant swaps related to US aid programs after WWII. The imported accessions used to make double-cross hybrids were also mixed with previously adapted germplasm originating from several more distant OPVs, supporting the transition to single cross-breeding. Many of these materials were deposited at the Maize Gene Bank of the Maize Research Institute Zemun Polje (MRIZP) between the 1960s and 1980s. A part of this Gene Bank (572 inbreds) was genotyped with Affymetrix Axiom Maize Genotyping Array with 616,201 polymorphic variants. Data were merged with two other genotyping datasets with mostly European flint (TUM dataset) and dent (DROPS dataset) germplasm. The final pan-European dataset consisted of 974 inbreds and 460,243 markers. Admixture analysis showed seven ancestral populations representing European flint, B73/B14, Lancaster, B37, Wf9/Oh07, A374, and Iodent pools. Subpanel of inbreds with SEE origin showed a lack of Iodent germplasm, marking its historical context. Several signatures of selection were identified at chromosomes 1, 3, 6, 7, 8, 9, and 10. The regions under selection were mined for protein-coding genes and were used for gene ontology (GO) analysis, showing a highly significant overrepresentation of genes involved in response to stress. Our results suggest the accumulation of favorable allelic diversity, especially in the context of changing climate in the genetic resources of SEE.
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Affiliation(s)
- Vlatko Galić
- Agricultural Institute Osijek, Južno predgrađe 17, Osijek, HR31000, Croatia.
- Centre of Excellence for Biodiversity and Molecular Plant Breeding (CroP-BioDiv), Svetošimunska cesta 25, Zagreb, HR10000, Croatia.
| | - Violeta Anđelković
- Maize Research Institute Zemun Polje, Slobodana Bajića 1, Belgrade, 11185, Serbia
| | - Natalija Kravić
- Maize Research Institute Zemun Polje, Slobodana Bajića 1, Belgrade, 11185, Serbia
| | - Nikola Grčić
- Maize Research Institute Zemun Polje, Slobodana Bajića 1, Belgrade, 11185, Serbia
| | - Tatjana Ledenčan
- Agricultural Institute Osijek, Južno predgrađe 17, Osijek, HR31000, Croatia
| | - Antun Jambrović
- Agricultural Institute Osijek, Južno predgrađe 17, Osijek, HR31000, Croatia
- Centre of Excellence for Biodiversity and Molecular Plant Breeding (CroP-BioDiv), Svetošimunska cesta 25, Zagreb, HR10000, Croatia
| | - Zvonimir Zdunić
- Agricultural Institute Osijek, Južno predgrađe 17, Osijek, HR31000, Croatia
- Centre of Excellence for Biodiversity and Molecular Plant Breeding (CroP-BioDiv), Svetošimunska cesta 25, Zagreb, HR10000, Croatia
| | - Stéphane Nicolas
- GQE ‑ Le Moulon, INRAE, Univ. Paris‑Sud, CNRS, AgroParisTech, Université Paris-Saclay, Gif‑sur‑Yvette, 91190, France
| | - Alain Charcosset
- GQE ‑ Le Moulon, INRAE, Univ. Paris‑Sud, CNRS, AgroParisTech, Université Paris-Saclay, Gif‑sur‑Yvette, 91190, France
| | - Zlatko Šatović
- Centre of Excellence for Biodiversity and Molecular Plant Breeding (CroP-BioDiv), Svetošimunska cesta 25, Zagreb, HR10000, Croatia
- Faculty of Agriculture, University of Zagreb, Svetošimunska cesta 25, Zagreb, HR10000, Croatia
| | - Domagoj Šimić
- Agricultural Institute Osijek, Južno predgrađe 17, Osijek, HR31000, Croatia
- Centre of Excellence for Biodiversity and Molecular Plant Breeding (CroP-BioDiv), Svetošimunska cesta 25, Zagreb, HR10000, Croatia
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Arca M, Gouesnard B, Mary-Huard T, Le Paslier MC, Bauland C, Combes V, Madur D, Charcosset A, Nicolas SD. Genotyping of DNA pools identifies untapped landraces and genomic regions to develop next-generation varieties. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:1123-1139. [PMID: 36740649 DOI: 10.1111/pbi.14022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 01/18/2023] [Indexed: 05/27/2023]
Abstract
Landraces, that is, traditional varieties, have a large diversity that is underexploited in modern breeding. A novel DNA pooling strategy was implemented to identify promising landraces and genomic regions to enlarge the genetic diversity of modern varieties. As proof of concept, DNA pools from 156 American and European maize landraces representing 2340 individuals were genotyped with an SNP array to assess their genome-wide diversity. They were compared to elite cultivars produced across the 20th century, represented by 327 inbred lines. Detection of selective footprints between landraces of different geographic origin identified genes involved in environmental adaptation (flowering times, growth) and tolerance to abiotic and biotic stress (drought, cold, salinity). Promising landraces were identified by developing two novel indicators that estimate their contribution to the genome of inbred lines: (i) a modified Roger's distance standardized by gene diversity and (ii) the assignation of lines to landraces using supervised analysis. It showed that most landraces do not have closely related lines and that only 10 landraces, including famous landraces as Reid's Yellow Dent, Lancaster Surecrop and Lacaune, cumulated half of the total contribution to inbred lines. Comparison of ancestral lines directly derived from landraces with lines from more advanced breeding cycles showed a decrease in the number of landraces with a large contribution. New inbred lines derived from landraces with limited contributions enriched more the haplotype diversity of reference inbred lines than those with a high contribution. Our approach opens an avenue for the identification of promising landraces for pre-breeding.
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Affiliation(s)
- Mariangela Arca
- INRAE, CNRS, AgroParisTech, GQE - Le Moulon, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Brigitte Gouesnard
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Tristan Mary-Huard
- INRAE, CNRS, AgroParisTech, GQE - Le Moulon, Université Paris-Saclay, Gif-sur-Yvette, France
| | | | - Cyril Bauland
- INRAE, CNRS, AgroParisTech, GQE - Le Moulon, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Valérie Combes
- INRAE, CNRS, AgroParisTech, GQE - Le Moulon, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Delphine Madur
- INRAE, CNRS, AgroParisTech, GQE - Le Moulon, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Alain Charcosset
- INRAE, CNRS, AgroParisTech, GQE - Le Moulon, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Stéphane D Nicolas
- INRAE, CNRS, AgroParisTech, GQE - Le Moulon, Université Paris-Saclay, Gif-sur-Yvette, France
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6
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Kumar K, Yu Q, Bhatia D, Honsho C, Gmitter FG. Construction of a high density genetic linkage map to define the locus conferring seedlessness from Mukaku Kishu mandarin. FRONTIERS IN PLANT SCIENCE 2023; 14:1087023. [PMID: 36875618 PMCID: PMC9976630 DOI: 10.3389/fpls.2023.1087023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
Mukaku Kishu ('MK'), a small sized mandarin, is an important source of seedlessness in citrus breeding. Identification and mapping the gene(s) governing 'MK' seedlessness will expedite seedless cultivar development. In this study, two 'MK'-derived mapping populations- LB8-9 Sugar Belle® ('SB') × 'MK' (N=97) and Daisy ('D') × 'MK' (N=68) were genotyped using an Axiom_Citrus56 Array encompassing 58,433 SNP probe sets, and population specific male and female parent linkage maps were constructed. The parental maps of each population were integrated to produce sub-composite maps, which were further merged to develop a consensus linkage map. All the parental maps (except 'MK_D') had nine major linkage groups, and contained 930 ('SB'), 810 ('MK_SB'), 776 ('D') and 707 ('MK_D') SNPs. The linkage maps displayed 96.9 ('MK_D') to 98.5% ('SB') chromosomal synteny with the reference Clementine genome. The consensus map was comprised of 2588 markers including a phenotypic seedless (Fs)-locus and spanned a genetic distance of 1406.84 cM, with an average marker distance of 0.54 cM, which is substantially lower than the reference Clementine map. For the phenotypic Fs-locus, the distribution of seedy and seedless progenies in both 'SB' × 'MK' (55:42, χ2 = 1.74) and 'D' × 'MK' populations (33:35, χ2 = 0.06) followed a test cross pattern. The Fs-locus mapped on chromosome 5 with SNP marker 'AX-160417325' at 7.4 cM in 'MK_SB' map and between two SNP markers 'AX-160536283' and 'AX-160906995' at a distance of 2.4 and 4.9 cM, respectively in 'MK_D' map. The SNPs 'AX-160417325' and 'AX-160536283' correctly predicted seedlessness of 25-91.9% progenies in this study. Based on the alignment of flanking SNP markers to the Clementine reference genome, the candidate gene for seedlessness hovered in a ~ 6.0 Mb region between 3.97 Mb (AX-160906995) to 10.00 Mb (AX-160536283). This region has 131 genes of which 13 genes (belonging to seven gene families) reportedly express in seed coat or developing embryo. The findings of the study will prove helpful in directing future research for fine mapping this region and eventually underpinning the exact causative gene governing seedlessness in 'MK'.
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Affiliation(s)
- Krishan Kumar
- Citrus Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Lake Alfred, FL, United States
- Punjab Agricultural University, Dr. JC Bakhshi Regional Research Station, Abohar, India
| | - Qibin Yu
- Citrus Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Lake Alfred, FL, United States
| | - Dharminder Bhatia
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Chitose Honsho
- Citrus Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Lake Alfred, FL, United States
- Laboratory of Pomology, Faculty of Agriculture, University of Miyazaki, Miyazaki, Japan
| | - Frederick G. Gmitter
- Citrus Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Lake Alfred, FL, United States
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7
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Slonecki TJ, Rutter WB, Olukolu BA, Yencho GC, Jackson DM, Wadl PA. Genetic diversity, population structure, and selection of breeder germplasm subsets from the USDA sweetpotato ( Ipomoea batatas) collection. FRONTIERS IN PLANT SCIENCE 2023; 13:1022555. [PMID: 36816486 PMCID: PMC9932972 DOI: 10.3389/fpls.2022.1022555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 10/28/2022] [Indexed: 06/18/2023]
Abstract
Sweetpotato (Ipomoea batatas) is the sixth most important food crop and plays a critical role in maintaining food security worldwide. Support for sweetpotato improvement research in breeding and genetics programs, and maintenance of sweetpotato germplasm collections is essential for preserving food security for future generations. Germplasm collections seek to preserve phenotypic and genotypic diversity through accession characterization. However, due to its genetic complexity, high heterogeneity, polyploid genome, phenotypic plasticity, and high flower production variability, sweetpotato genetic characterization is challenging. Here, we characterize the genetic diversity and population structure of 604 accessions from the sweetpotato germplasm collection maintained by the United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Plant Genetic Resources Conservation Unit (PGRCU) in Griffin, Georgia, United States. Using the genotyping-by-sequencing platform (GBSpoly) and bioinformatic pipelines (ngsComposer and GBSapp), a total of 102,870 polymorphic SNPs with hexaploid dosage calls were identified from the 604 accessions. Discriminant analysis of principal components (DAPC) and Bayesian clustering identified six unique genetic groupings across seven broad geographic regions. Genetic diversity analyses using the hexaploid data set revealed ample genetic diversity among the analyzed collection in concordance with previous analyses. Following population structure and diversity analyses, breeder germplasm subsets of 24, 48, 96, and 384 accessions were established using K-means clustering with manual selection to maintain phenotypic and genotypic diversity. The genetic characterization of the PGRCU sweetpotato germplasm collection and breeder germplasm subsets developed in this study provide the foundation for future association studies and serve as precursors toward phenotyping studies aimed at linking genotype with phenotype.
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Affiliation(s)
- Tyler J. Slonecki
- United States Vegetable Laboratory, Agricultural Research Service, United States Department of Agriculture, Charleston, SC, United States
| | - William B. Rutter
- United States Vegetable Laboratory, Agricultural Research Service, United States Department of Agriculture, Charleston, SC, United States
| | - Bode A. Olukolu
- Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, United States
| | - G. Craig Yencho
- Department of Horticultural Science, North Carolina State University, Raleigh, NC, United States
| | - D. Michael Jackson
- United States Vegetable Laboratory, Agricultural Research Service, United States Department of Agriculture, Charleston, SC, United States
| | - Phillip A. Wadl
- United States Vegetable Laboratory, Agricultural Research Service, United States Department of Agriculture, Charleston, SC, United States
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8
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Kang H, An SM, Park YJ, Lee YB, Lee JH, Cheon KS, Kim KA. Population Genomics Study and Implications for the Conservation of Zabelia tyaihyonii Based on Genotyping-By-Sequencing. PLANTS (BASEL, SWITZERLAND) 2022; 12:171. [PMID: 36616299 PMCID: PMC9823854 DOI: 10.3390/plants12010171] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/26/2022] [Accepted: 12/26/2022] [Indexed: 06/17/2023]
Abstract
Zabelia tyaihyonii (Nakai) Hisauti and H. Hara is a perennial shrub endemic to Republic of Korea that grows naturally in only a very limited region of the dolomite areas of Gangwon-do and Chungcheongbuk-do Provinces in the Republic of Korea. Given its geographical characteristics, it is more vulnerable than more widely distributed species. Despite the need for comprehensive information to support conservation, population genetic information for this species is very scarce. In this study, we analyzed the genetic diversity and population structure of 94 individuals from six populations of Z. tyaihyonii using a genotyping-by-sequencing (GBS) approach to provide important information for proper conservation and management. Our results, based on 3088 single nucleotide polymorphisms (SNPs), showed a mean expected heterozygosity (He) of 0.233, no sign of within-population inbreeding (GIS that was close to or even below zero in all populations), and a high level of genetic differentiation (FST = 0.170). Analysis of molecular variance (AMOVA) indicated that the principal molecular variance existed within populations (84.5%) rather than among populations (17.0%). We suggested that six management units were proposed for conservation considering Bayesian structure analysis and phylogenetic analysis, and given the various current situations faced by Z. tyaihyonii, it is believed that not only the in situ conservation but also the ex situ conservation should be considered.
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Affiliation(s)
- Halam Kang
- Department of Biological Science, Sangji University, Wonju 26339, Republic of Korea
| | - Sung-Mo An
- Department of Biological Science, Sangji University, Wonju 26339, Republic of Korea
| | - Yoo-Jung Park
- Department of Biological Science, Sangji University, Wonju 26339, Republic of Korea
| | - Yoo-Bin Lee
- Department of Biological Science, Sangji University, Wonju 26339, Republic of Korea
| | - Jung-Hyun Lee
- Department of Biology Education, Chonnam National University, Gwangju 61186, Republic of Korea
| | - Kyeong-Sik Cheon
- Department of Biological Science, Sangji University, Wonju 26339, Republic of Korea
| | - Kyung-Ah Kim
- Environmental Research Institute, Kangwon National University, Chuncheon 24341, Republic of Korea
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9
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Kumar B, Rakshit S, Kumar S, Singh BK, Lahkar C, Jha AK, Kumar K, Kumar P, Choudhary M, Singh SB, Amalraj JJ, Prakash B, Khulbe R, Kamboj MC, Chirravuri NN, Hossain F. Genetic Diversity, Population Structure and Linkage Disequilibrium Analyses in Tropical Maize Using Genotyping by Sequencing. PLANTS (BASEL, SWITZERLAND) 2022; 11:799. [PMID: 35336681 PMCID: PMC8955159 DOI: 10.3390/plants11060799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 03/09/2022] [Accepted: 03/10/2022] [Indexed: 06/14/2023]
Abstract
Several maize breeding programs in India have developed numerous inbred lines but the lines have not been characterized using high-density molecular markers. Here, we studied the molecular diversity, population structure, and linkage disequilibrium (LD) patterns in a panel of 314 tropical normal corn, two sweet corn, and six popcorn inbred lines developed by 17 research centers in India, and 62 normal corn from the International Maize and Wheat Improvement Center (CIMMYT). The 384 inbred lines were genotyped with 60,227 polymorphic single nucleotide polymorphisms (SNPs). Most of the pair-wise relative kinship coefficients (58.5%) were equal or close to 0, which suggests the lack of redundancy in the genomic composition in the majority of inbred lines. Genetic distance among most pairs of lines (98.3%) varied from 0.20 to 0.34 as compared with just 1.7% of the pairs of lines that differed by <0.20, which suggests greater genetic variation even among sister lines. The overall average of 17% heterogeneity was observed in the panel indicated the need for further inbreeding in the high heterogeneous genotypes. The mean nucleotide diversity and frequency of polymorphic sites observed in the panel were 0.28 and 0.02, respectively. The model-based population structure, principal component analysis, and phylogenetic analysis revealed three to six groups with no clear patterns of clustering by centers-wise breeding lines, types of corn, kernel characteristics, maturity, plant height, and ear placement. However, genotypes were grouped partially based on their source germplasm from where they derived.
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Affiliation(s)
- Bhupender Kumar
- ICAR-Indian Institute of Maize Research, Ludhiana 141004, India; (B.K.); (S.K.); (B.K.S.); (C.L.); (A.K.J.); (K.K.); (P.K.); (M.C.); (S.B.S.)
| | - Sujay Rakshit
- ICAR-Indian Institute of Maize Research, Ludhiana 141004, India; (B.K.); (S.K.); (B.K.S.); (C.L.); (A.K.J.); (K.K.); (P.K.); (M.C.); (S.B.S.)
| | - Sonu Kumar
- ICAR-Indian Institute of Maize Research, Ludhiana 141004, India; (B.K.); (S.K.); (B.K.S.); (C.L.); (A.K.J.); (K.K.); (P.K.); (M.C.); (S.B.S.)
| | - Brijesh Kumar Singh
- ICAR-Indian Institute of Maize Research, Ludhiana 141004, India; (B.K.); (S.K.); (B.K.S.); (C.L.); (A.K.J.); (K.K.); (P.K.); (M.C.); (S.B.S.)
| | - Chayanika Lahkar
- ICAR-Indian Institute of Maize Research, Ludhiana 141004, India; (B.K.); (S.K.); (B.K.S.); (C.L.); (A.K.J.); (K.K.); (P.K.); (M.C.); (S.B.S.)
| | - Abhishek Kumar Jha
- ICAR-Indian Institute of Maize Research, Ludhiana 141004, India; (B.K.); (S.K.); (B.K.S.); (C.L.); (A.K.J.); (K.K.); (P.K.); (M.C.); (S.B.S.)
| | - Krishan Kumar
- ICAR-Indian Institute of Maize Research, Ludhiana 141004, India; (B.K.); (S.K.); (B.K.S.); (C.L.); (A.K.J.); (K.K.); (P.K.); (M.C.); (S.B.S.)
| | - Pardeep Kumar
- ICAR-Indian Institute of Maize Research, Ludhiana 141004, India; (B.K.); (S.K.); (B.K.S.); (C.L.); (A.K.J.); (K.K.); (P.K.); (M.C.); (S.B.S.)
| | - Mukesh Choudhary
- ICAR-Indian Institute of Maize Research, Ludhiana 141004, India; (B.K.); (S.K.); (B.K.S.); (C.L.); (A.K.J.); (K.K.); (P.K.); (M.C.); (S.B.S.)
| | - Shyam Bir Singh
- ICAR-Indian Institute of Maize Research, Ludhiana 141004, India; (B.K.); (S.K.); (B.K.S.); (C.L.); (A.K.J.); (K.K.); (P.K.); (M.C.); (S.B.S.)
| | - John J. Amalraj
- Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore 641003, India;
| | - Bhukya Prakash
- ICAR-Directorate of Poultry Research, Hyderabad 500030, India;
| | - Rajesh Khulbe
- Department of Crop Imrovement, ICAR-Vivekananda Parvatiya Krishi Anusandhan Sansthan, Almora 263601, India;
| | - Mehar Chand Kamboj
- Department of Plant Breeding, CCS-Haryana Agricultural University, Regional Research Station, Uchani 132001, India;
| | - Neeraja N. Chirravuri
- Department of Crop Improvement, ICAR-Indian Institute of Rice Research, Hyderabad 500030, India;
| | - Firoz Hossain
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India;
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10
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Vanavermaete D, Fostier J, Maenhout S, De Baets B. Deep scoping: a breeding strategy to preserve, reintroduce and exploit genetic variation. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:3845-3861. [PMID: 34387711 PMCID: PMC8580937 DOI: 10.1007/s00122-021-03932-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 07/30/2021] [Indexed: 06/13/2023]
Abstract
The deep scoping method incorporates the use of a gene bank together with different population layers to reintroduce genetic variation into the breeding population, thus maximizing the long-term genetic gain without reducing the short-term genetic gain or increasing the total financial cost. Genomic prediction is often combined with truncation selection to identify superior parental individuals that can pass on favorable quantitative trait locus (QTL) alleles to their offspring. However, truncation selection reduces genetic variation within the breeding population, causing a premature convergence to a sub-optimal genetic value. In order to also increase genetic gain in the long term, different methods have been proposed that better preserve genetic variation. However, when the genetic variation of the breeding population has already been reduced as a result of prior intensive selection, even those methods will not be able to avert such premature convergence. Pre-breeding provides a solution for this problem by reintroducing genetic variation into the breeding population. Unfortunately, as pre-breeding often relies on a separate breeding population to increase the genetic value of wild specimens before introducing them in the elite population, it comes with an increased financial cost. In this paper, on the basis of a simulation study, we propose a new method that reintroduces genetic variation in the breeding population on a continuous basis without the need for a separate pre-breeding program or a larger population size. This way, we are able to introduce favorable QTL alleles into an elite population and maximize the genetic gain in the short as well as in the long term without increasing the financial cost.
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Affiliation(s)
- David Vanavermaete
- KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, B-9000, Ghent, Belgium.
| | - Jan Fostier
- IDLab, Department of Information Technology, Ghent University - imec, B-9052, Ghent, Belgium
| | | | - Bernard De Baets
- KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, B-9000, Ghent, Belgium
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11
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Anglin NL, Robles R, Rossel G, Alagon R, Panta A, Jarret RL, Manrique N, Ellis D. Genetic Identity, Diversity, and Population Structure of CIP's Sweetpotato ( I. batatas) Germplasm Collection. FRONTIERS IN PLANT SCIENCE 2021; 12:660012. [PMID: 34777403 PMCID: PMC8589021 DOI: 10.3389/fpls.2021.660012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 08/06/2021] [Indexed: 05/27/2023]
Abstract
The in trust sweetpotato collection housed by the International Center of Potato (CIP) is one of the largest assemblages of plant material representing the genetic resources of this important staple crop. The collection currently contains almost 6,000 accessions of Ipomoea batatas (cultivated sweetpotato) and over 1,000 accessions of sweetpotato crop wild relatives (CWRs). In this study, the entire cultivated collection (5,979 accessions) was genotyped with a panel of 20 simple sequence repeat (SSR) markers to assess genetic identity, diversity, and population structure. Genotyping and phenotyping of in vitro plantlets and mother plants were conducted simultaneously on 2,711 accessions (45% of the total collection) to identify and correct possible genetic identity errors which could have occurred at any time over the thirty plus years of maintenance in the in vitro collection. Within this group, 533 accessions (19.6%) had errors in identity. Field evaluations of morphological descriptors were carried out to confirm the marker data. A phylogenetic tree was constructed to reveal the intraspecific relationships in the population which uncovered high levels of redundancy in material from Peru and Latin America. These genotypic data were supported by morphological data. Population structure analysis demonstrated support for four ancestral populations with many of the accessions having lower levels of gene flow from the other populations. This was especially true of germplasm derived from Peru, Ecuador, and Africa. The set of 20 SSR markers was subsequently utilized to examine a subset of 189 accessions from the USDA sweetpotato germplasm collection and to identify and reconcile potential errors in the identification of clones shared between these collections. Marker analysis demonstrated that the USDA subset of material had 65 unique accessions that were not found in the larger CIP collection. As far as the authors are aware, this is the first report of genotyping an entire sweetpotato germplasm collection in its entirety.
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Affiliation(s)
| | | | | | | | - Ana Panta
- International Potato Center (CIP), Lima, Peru
| | - Robert L. Jarret
- Plant Genetic Resources Conservation Unit, United States Department of Agriculture, Agricultural Research Service, Griffin, GA, United States
| | | | - David Ellis
- International Potato Center (CIP), Lima, Peru
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12
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Yi Q, Álvarez-Iglesias L, Malvar RA, Romay MC, Revilla P. A worldwide maize panel revealed new genetic variation for cold tolerance. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:1083-1094. [PMID: 33582854 DOI: 10.1007/s00122-020-03753-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 12/12/2020] [Indexed: 05/21/2023]
Abstract
A large association panel of 836 maize inbreds revealed a broader genetic diversity of cold tolerance, as predominantly favorable QTL with small effects were identified, indicating that genomic selection is the most promising option for breeding maize for cold tolerance. Maize (Zea mays L.) has limited cold tolerance, and breeding for cold tolerance is a noteworthy bottleneck for reaching the high potential of maize production in temperate areas. In this study, we evaluate a large panel of 836 maize inbred lines to detect genetic loci and candidate genes for cold tolerance at the germination and seedling stages. Genetic variation for cold tolerance was larger than in previous reports with moderately high heritability for most traits. We identified 187 significant single-nucleotide polymorphisms (SNPs) that were integrated into 159 quantitative trait loci (QTL) for emergence and traits related to early growth. Most of the QTL have small effects and are specific for each environment, with the majority found under control conditions. Favorable alleles are more frequent in 120 inbreds including all germplasm groups, but mainly from Minnesota and Spain. Therefore, there is a large, potentially novel, genetic variability in the germplasm groups represented by these inbred lines. Most of the candidate genes are involved in metabolic processes and intracellular membrane-bounded organelles. We expect that further evaluations of germplasm with broader genetic diversity could identify additional favorable alleles for cold tolerance. However, it is not likely that further studies will find favorable alleles with large effects for improving cold tolerance in maize.
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Affiliation(s)
- Q Yi
- Misión Biológica de Galicia (CSIC), Apartado 28, E-36080, Pontevedra, Spain
- College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - L Álvarez-Iglesias
- Misión Biológica de Galicia (CSIC), Apartado 28, E-36080, Pontevedra, Spain
| | - R A Malvar
- Misión Biológica de Galicia (CSIC), Apartado 28, E-36080, Pontevedra, Spain
| | - M C Romay
- Institute for Genomic Diversity, Cornell University, Ithaca, NY14853, USA
| | - Pedro Revilla
- Misión Biológica de Galicia (CSIC), Apartado 28, E-36080, Pontevedra, Spain.
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13
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Discovery of beneficial haplotypes for complex traits in maize landraces. Nat Commun 2020; 11:4954. [PMID: 33009396 PMCID: PMC7532167 DOI: 10.1038/s41467-020-18683-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 09/06/2020] [Indexed: 12/17/2022] Open
Abstract
Genetic variation is of crucial importance for crop improvement. Landraces are valuable sources of diversity, but for quantitative traits efficient strategies for their targeted utilization are lacking. Here, we map haplotype-trait associations at high resolution in ~1000 doubled-haploid lines derived from three maize landraces to make their native diversity for early development traits accessible for elite germplasm improvement. A comparative genomic analysis of the discovered haplotypes in the landrace-derived lines and a panel of 65 breeding lines, both genotyped with 600k SNPs, points to untapped beneficial variation for target traits in the landraces. The superior phenotypic performance of lines carrying favorable landrace haplotypes as compared to breeding lines with alternative haplotypes confirms these findings. Stability of haplotype effects across populations and environments as well as their limited effects on undesired traits indicate that our strategy has high potential for harnessing beneficial haplotype variation for quantitative traits from genetic resources. Genetic variations present in landraces are critical for crop genetic improvement. Here, the authors map haplotype-trait associations in ~1000 doubled haploid lines derived from three European maize landraces and identify beneficial haplotypes for quantitative traits that are not present in breeding lines.
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14
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Applications of genotyping-by-sequencing (GBS) in maize genetics and breeding. Sci Rep 2020; 10:16308. [PMID: 33004874 PMCID: PMC7530987 DOI: 10.1038/s41598-020-73321-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 09/11/2020] [Indexed: 11/17/2022] Open
Abstract
Genotyping-by-Sequencing (GBS) is a low-cost, high-throughput genotyping method that relies on restriction enzymes to reduce genome complexity. GBS is being widely used for various genetic and breeding applications. In the present study, 2240 individuals from eight maize populations, including two association populations (AM), backcross first generation (BC1), BC1F2, F2, double haploid (DH), intermated B73 × Mo17 (IBM), and a recombinant inbred line (RIL) population, were genotyped using GBS. A total of 955,120 of raw data for SNPs was obtained for each individual, with an average genotyping error of 0.70%. The rate of missing genotypic data for these SNPs was related to the level of multiplex sequencing: ~ 25% missing data for 96-plex and ~ 55% for 384-plex. Imputation can greatly reduce the rate of missing genotypes to 12.65% and 3.72% for AM populations and bi-parental populations, respectively, although it increases total genotyping error. For analysis of genetic diversity and linkage mapping, unimputed data with a low rate of genotyping error is beneficial, whereas, for association mapping, imputed data would result in higher marker density and would improve map resolution. Because imputation does not influence the prediction accuracy, both unimputed and imputed data can be used for genomic prediction. In summary, GBS is a versatile and efficient SNP discovery approach for homozygous materials and can be effectively applied for various purposes in maize genetics and breeding.
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15
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Comparisons of sampling methods for assessing intra- and inter-accession genetic diversity in three rice species using genotyping by sequencing. Sci Rep 2020; 10:13995. [PMID: 32814806 PMCID: PMC7438528 DOI: 10.1038/s41598-020-70842-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 07/27/2020] [Indexed: 11/09/2022] Open
Abstract
To minimize the cost of sample preparation and genotyping, most genebank genomics studies in self-pollinating species are conducted on a single individual to represent an accession, which may be heterogeneous with larger than expected intra-accession genetic variation. Here, we compared various population genetics parameters among six DNA (leaf) sampling methods on 90 accessions representing a wild species (O. barthii), cultivated and landraces (O. glaberrima, O. sativa), and improved varieties derived through interspecific hybridizations. A total of 1,527 DNA samples were genotyped with 46,818 polymorphic single nucleotide polymorphisms (SNPs) using DArTseq. Various statistical analyses were performed on eleven datasets corresponding to 5 plants per accession individually and in a bulk (two sets), 10 plants individually and in a bulk (two sets), all 15 plants individually (one set), and a randomly sampled individual repeated six times (six sets). Overall, we arrived at broadly similar conclusions across 11 datasets in terms of SNP polymorphism, heterozygosity/heterogeneity, diversity indices, concordance among genetic dissimilarity matrices, population structure, and genetic differentiation; there were, however, a few discrepancies between some pairs of datasets. Detailed results of each sampling method, the concordance in their outputs, and the technical and cost implications of each method were discussed.
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16
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Allier A, Teyssèdre S, Lehermeier C, Charcosset A, Moreau L. Genomic prediction with a maize collaborative panel: identification of genetic resources to enrich elite breeding programs. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:201-215. [PMID: 31595338 DOI: 10.1007/s00122-019-03451-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 09/28/2019] [Indexed: 05/02/2023]
Abstract
Collaborative diversity panels and genomic prediction seem relevant to identify and harness genetic resources for polygenic trait-specific enrichment of elite germplasms. In plant breeding, genetic diversity is important to maintain the pace of genetic gain and the ability to respond to new challenges in a context of climatic and social expectation changes. Many genetic resources are accessible to breeders but cannot all be considered for broadening the genetic diversity of elite germplasm. This study presents the use of genomic predictions trained on a collaborative diversity panel, which assembles genetic resources and elite lines, to identify resources to enrich an elite germplasm. A maize collaborative panel (386 lines) was considered to estimate genome-wide marker effects. Relevant predictive abilities (0.40-0.55) were observed on a large population of private elite materials, which supported the interest of such a collaborative panel for diversity management perspectives. Grain-yield estimated marker effects were used to select a donor that best complements an elite recipient at individual loci or haplotype segments, or that is expected to give the best-performing progeny with the elite. Among existing and new criteria that were compared, some gave more weight to the donor-elite complementarity than to the donor value, and appeared more adapted to long-term objective. We extended this approach to the selection of a set of donors complementing an elite population. We defined a crossing plan between identified donors and elite recipients. Our results illustrated how collaborative projects based on diversity panels including both public resources and elite germplasm can contribute to a better characterization of genetic resources in view of their use to enrich elite germplasm.
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Affiliation(s)
- Antoine Allier
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France
- RAGT2n, Genetics and Analytics Unit, 12510, Druelle, France
| | | | | | - Alain Charcosset
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France
| | - Laurence Moreau
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France.
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17
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Mabire C, Duarte J, Darracq A, Pirani A, Rimbert H, Madur D, Combes V, Vitte C, Praud S, Rivière N, Joets J, Pichon JP, Nicolas SD. High throughput genotyping of structural variations in a complex plant genome using an original Affymetrix® axiom® array. BMC Genomics 2019; 20:848. [PMID: 31722668 PMCID: PMC6854671 DOI: 10.1186/s12864-019-6136-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 09/23/2019] [Indexed: 12/19/2022] Open
Abstract
Background Insertions/deletions (InDels) and more specifically presence/absence variations (PAVs) are pervasive in several species and have strong functional and phenotypic effect by removing or drastically modifying genes. Genotyping of such variants on large panels remains poorly addressed, while necessary for approaches such as association mapping or genomic selection. Results We have developed, as a proof of concept, a new high-throughput and affordable approach to genotype InDels. We first identified 141,000 InDels by aligning reads from the B73 line against the genome of three temperate maize inbred lines (F2, PH207, and C103) and reciprocally. Next, we designed an Affymetrix® Axiom® array to target these InDels, with a combination of probes selected at breakpoint sites (13%) or within the InDel sequence, either at polymorphic (25%) or non-polymorphic sites (63%) sites. The final array design is composed of 662,772 probes and targets 105,927 InDels, including PAVs ranging from 35 bp to 129kbp. After Affymetrix® quality control, we successfully genotyped 86,648 polymorphic InDels (82% of all InDels interrogated by the array) on 445 maize DNA samples with 422,369 probes. Genotyping InDels using this approach produced a highly reliable dataset, with low genotyping error (~ 3%), high call rate (~ 98%), and high reproducibility (> 95%). This reliability can be further increased by combining genotyping of several probes calling the same InDels (< 0.1% error rate and > 99.9% of call rate for 5 probes). This “proof of concept” tool was used to estimate the kinship matrix between 362 maize lines with 57,824 polymorphic InDels. This InDels kinship matrix was highly correlated with kinship estimated using SNPs from Illumina 50 K SNP arrays. Conclusions We efficiently genotyped thousands of small to large InDels on a sizeable number of individuals using a new Affymetrix® Axiom® array. This powerful approach opens the way to studying the contribution of InDels to trait variation and heterosis in maize. The approach is easily extendable to other species and should contribute to decipher the biological impact of InDels at a larger scale.
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Affiliation(s)
- Clément Mabire
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France
| | - Jorge Duarte
- Biogemma - Centre de Recherche de Chappes, CS 90126, 63720, Chappes, France
| | - Aude Darracq
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France
| | - Ali Pirani
- Thermo Fisher Scientific, 3450 Central Expressway, Santa Clara, CA, 95051, USA
| | - Hélène Rimbert
- Biogemma - Centre de Recherche de Chappes, CS 90126, 63720, Chappes, France.,Present address: GDEC, INRA, Université Clermont Auvergne, 63000, Clermont-Ferrand, France
| | - Delphine Madur
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France
| | - Valérie Combes
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France
| | - Clémentine Vitte
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France
| | - Sébastien Praud
- Biogemma - Centre de Recherche de Chappes, CS 90126, 63720, Chappes, France
| | - Nathalie Rivière
- Biogemma - Centre de Recherche de Chappes, CS 90126, 63720, Chappes, France
| | - Johann Joets
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France
| | | | - Stéphane D Nicolas
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France.
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18
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Niu S, Song Q, Koiwa H, Qiao D, Zhao D, Chen Z, Liu X, Wen X. Genetic diversity, linkage disequilibrium, and population structure analysis of the tea plant (Camellia sinensis) from an origin center, Guizhou plateau, using genome-wide SNPs developed by genotyping-by-sequencing. BMC PLANT BIOLOGY 2019; 19:328. [PMID: 31337341 PMCID: PMC6652003 DOI: 10.1186/s12870-019-1917-5] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2018] [Accepted: 07/02/2019] [Indexed: 05/19/2023]
Abstract
BACKGROUND To efficiently protect and exploit germplasm resources for marker development and breeding purposes, we must accurately depict the features of the tea populations. This study focuses on the Camellia sinensis (C. sinensis) population and aims to (i) identify single nucleotide polymorphisms (SNPs) on the genome level, (ii) investigate the genetic diversity and population structure, and (iii) characterize the linkage disequilibrium (LD) pattern to facilitate next genome-wide association mapping and marker-assisted selection. RESULTS We collected 415 tea accessions from the Origin Center and analyzed the genetic diversity, population structure and LD pattern using the genotyping-by-sequencing (GBS) approach. A total of 79,016 high-quality SNPs were identified; the polymorphism information content (PIC) and genetic diversity (GD) based on these SNPs showed a higher level of genetic diversity in cultivated type than in wild type. The 415 accessions were clustered into three groups by STRUCTURE software and confirmed using principal component analyses (PCA)-wild type, cultivated type, and admixed wild type. However, unweighted pair group method with arithmetic mean (UPGMA) trees indicated the accessions should be grouped into more clusters. Further analyses identified four groups, the Pure Wild Type, Admixed Wild Type, ancient landraces and modern landraces using STRUCTURE, and the results were confirmed by PCA and UPGMA tree method. A higher level of genetic diversity was detected in ancient landraces and Admixed Wild Type than that in the Pure Wild Type and modern landraces. The highest differentiation was between the Pure Wild Type and modern landraces. A relatively fast LD decay with a short range (kb) was observed, and the LD decays of four inferred populations were different. CONCLUSIONS This study is, to our knowledge, the first population genetic analysis of tea germplasm from the Origin Center, Guizhou Plateau, using GBS. The LD pattern, population structure and genetic differentiation of the tea population revealed by our study will benefit further genetic studies, germplasm protection, and breeding.
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Affiliation(s)
- Suzhen Niu
- The Key Laboratory of Plant Resources Conservation and Germplasm Innovationin Mountainous Region (Ministry of Education), Institute of Agro-Bioengineering / College of Tea Science, Guizhou University, Guiyang, 550025 Guizhou Province People’s Republic of China
- Vegetable and Fruit Improvement Center, Department of Horticultural Sciences, Molecular and Environmental Plant Sciences Program, MS2133 Texas A&M University, College Station, TX 77843-2133 USA
- Institute of Tea, Guizhou Academy of Agricultural Sciences, Guiyang, 550006 Guizhou Province People’s Republic of China
| | - Qinfei Song
- The Key Laboratory of Plant Resources Conservation and Germplasm Innovationin Mountainous Region (Ministry of Education), Institute of Agro-Bioengineering / College of Tea Science, Guizhou University, Guiyang, 550025 Guizhou Province People’s Republic of China
| | - Hisashi Koiwa
- Vegetable and Fruit Improvement Center, Department of Horticultural Sciences, Molecular and Environmental Plant Sciences Program, MS2133 Texas A&M University, College Station, TX 77843-2133 USA
| | - Dahe Qiao
- Institute of Tea, Guizhou Academy of Agricultural Sciences, Guiyang, 550006 Guizhou Province People’s Republic of China
| | - Degang Zhao
- The Key Laboratory of Plant Resources Conservation and Germplasm Innovationin Mountainous Region (Ministry of Education), Institute of Agro-Bioengineering / College of Tea Science, Guizhou University, Guiyang, 550025 Guizhou Province People’s Republic of China
- Institute of Tea, Guizhou Academy of Agricultural Sciences, Guiyang, 550006 Guizhou Province People’s Republic of China
| | - Zhengwu Chen
- Institute of Tea, Guizhou Academy of Agricultural Sciences, Guiyang, 550006 Guizhou Province People’s Republic of China
| | - Xia Liu
- The Key Laboratory of Plant Resources Conservation and Germplasm Innovationin Mountainous Region (Ministry of Education), Institute of Agro-Bioengineering / College of Tea Science, Guizhou University, Guiyang, 550025 Guizhou Province People’s Republic of China
| | - Xiaopeng Wen
- Institute of Agro-bioengineering/College of Life Science, Guizhou University, Huaxi Avenue, Guiyang, 550025 Guizhou Province People’s Republic of China
- Key Laboratory of Plant Resources Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Guizhou University, Xiahui Road, Huaxi, Guiyang, 550025 Guizhou Province People’s Republic of China
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19
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Negro SS, Millet EJ, Madur D, Bauland C, Combes V, Welcker C, Tardieu F, Charcosset A, Nicolas SD. Genotyping-by-sequencing and SNP-arrays are complementary for detecting quantitative trait loci by tagging different haplotypes in association studies. BMC PLANT BIOLOGY 2019; 19:318. [PMID: 31311506 PMCID: PMC6636005 DOI: 10.1186/s12870-019-1926-4] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 07/05/2019] [Indexed: 05/18/2023]
Abstract
BACKGROUND Single Nucleotide Polymorphism (SNP) array and re-sequencing technologies have different properties (e.g. calling rate, minor allele frequency profile) and drawbacks (e.g. ascertainment bias). This lead us to study their complementarity and the consequences of using them separately or combined in diversity analyses and Genome-Wide Association Studies (GWAS). We performed GWAS on three traits (grain yield, plant height and male flowering time) measured in 22 environments on a panel of 247 F1 hybrids obtained by crossing 247 diverse dent maize inbred lines with a same flint line. The 247 lines were genotyped using three genotyping technologies (Genotyping-By-Sequencing, Illumina Infinium 50 K and Affymetrix Axiom 600 K arrays). RESULTS The effects of ascertainment bias of the 50 K and 600 K arrays were negligible for deciphering global genetic trends of diversity and for estimating relatedness in this panel. We developed an original approach based on linkage disequilibrium (LD) extent in order to determine whether SNPs significantly associated with a trait and that are physically linked should be considered as a single Quantitative Trait Locus (QTL) or several independent QTLs. Using this approach, we showed that the combination of the three technologies, which have different SNP distributions and densities, allowed us to detect more QTLs (gain in power) and potentially refine the localization of the causal polymorphisms (gain in resolution). CONCLUSIONS Conceptually different technologies are complementary for detecting QTLs by tagging different haplotypes in association studies. Considering LD, marker density and the combination of different technologies (SNP-arrays and re-sequencing), the genotypic data available were most likely enough to well represent polymorphisms in the centromeric regions, whereas using more markers would be beneficial for telomeric regions.
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Affiliation(s)
- Sandra S. Negro
- GQE – Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
| | - Emilie J. Millet
- Laboratoire d’Ecophysiologie des Plantes sous Stress Environnementaux (LEPSE), UMR759, INRA, SupAgro, 34060 Montpellier, France
- Present address: Biometris, Department of Plant Science, Wageningen University and Research, 6700 AA Wageningen, The Netherlands
| | - Delphine Madur
- GQE – Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
| | - Cyril Bauland
- GQE – Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
| | - Valérie Combes
- GQE – Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
| | - Claude Welcker
- Laboratoire d’Ecophysiologie des Plantes sous Stress Environnementaux (LEPSE), UMR759, INRA, SupAgro, 34060 Montpellier, France
| | - François Tardieu
- Laboratoire d’Ecophysiologie des Plantes sous Stress Environnementaux (LEPSE), UMR759, INRA, SupAgro, 34060 Montpellier, France
| | - Alain Charcosset
- GQE – Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
| | - Stéphane D. Nicolas
- GQE – Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
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20
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Brauner PC, Schipprack W, Utz HF, Bauer E, Mayer M, Schön CC, Melchinger AE. Testcross performance of doubled haploid lines from European flint maize landraces is promising for broadening the genetic base of elite germplasm. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:1897-1908. [PMID: 30877313 DOI: 10.1007/s00122-019-03325-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 03/11/2019] [Indexed: 05/19/2023]
Abstract
Selected doubled haploid lines averaged similar testcross performance as their original landraces, and the best of them approached the yields of elite inbreds, demonstrating their potential to broaden the narrow genetic diversity of the flint germplasm pool. Maize landraces represent a rich source of genetic diversity that remains largely idle because the high genetic load and performance gap to elite germplasm hamper their use in modern breeding programs. Production of doubled haploid (DH) lines can mitigate problems associated with the use of landraces in pre-breeding. Our objective was to assess in comparison with modern materials the testcross performance (TP) of the best 89 out of 389 DH lines developed from six landraces and evaluated in previous studies for line per se performance (LP). TP with a dent tester was evaluated for the six original landraces, ~ 15 DH lines from each landrace selected for LP, and six elite flint inbreds together with nine commercial hybrids for grain and silage traits. Mean TP of the DH lines rarely differed significantly from TP of their corresponding landrace, which averaged in comparison with the mean TP of the elite flint inbreds ~ 20% lower grain yield and ~ 10% lower dry matter and methane yield. Trait correlations of DH lines closely agreed with the literature; correlation of TP with LP was zero for grain yield, underpinning the need to evaluate TP in addition to LP. For all traits, we observed substantial variation for TP among the DH lines and the best showed similar TP yields as the elite inbreds. Our results demonstrate the high potential of landraces for broadening the narrow genetic base of the flint heterotic pool and the usefulness of the DH technology for exploiting idle genetic resources from gene banks.
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Affiliation(s)
- Pedro C Brauner
- Institute of Plant Breeding, Seed Sciences and Population Genetics, University of Hohenheim, Fruwirthstraße 21, 70599, Stuttgart, Germany
| | - Wolfgang Schipprack
- Institute of Plant Breeding, Seed Sciences and Population Genetics, University of Hohenheim, Fruwirthstraße 21, 70599, Stuttgart, Germany
| | - H Friedrich Utz
- Institute of Plant Breeding, Seed Sciences and Population Genetics, University of Hohenheim, Fruwirthstraße 21, 70599, Stuttgart, Germany
| | - Eva Bauer
- Plant Breeding, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354, Freising, Germany
| | - Manfred Mayer
- Plant Breeding, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354, Freising, Germany
| | - Chris-Carolin Schön
- Plant Breeding, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354, Freising, Germany
| | - Albrecht E Melchinger
- Institute of Plant Breeding, Seed Sciences and Population Genetics, University of Hohenheim, Fruwirthstraße 21, 70599, Stuttgart, Germany.
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21
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Guo L, Wang X, Zhao M, Huang C, Li C, Li D, Yang CJ, York AM, Xue W, Xu G, Liang Y, Chen Q, Doebley JF, Tian F. Stepwise cis-Regulatory Changes in ZCN8 Contribute to Maize Flowering-Time Adaptation. Curr Biol 2018; 28:3005-3015.e4. [PMID: 30220503 PMCID: PMC6537595 DOI: 10.1016/j.cub.2018.07.029] [Citation(s) in RCA: 81] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2018] [Revised: 05/24/2018] [Accepted: 07/09/2018] [Indexed: 12/28/2022]
Abstract
Maize (Zea mays ssp. mays) was domesticated in southwestern Mexico ∼9,000 years ago from its wild ancestor, teosinte (Zea mays ssp. parviglumis) [1]. From its center of origin, maize experienced a rapid range expansion and spread over 90° of latitude in the Americas [2-4], which required a novel flowering-time adaptation. ZEA CENTRORADIALIS 8 (ZCN8) is the maize florigen gene and has a central role in mediating flowering [5, 6]. Here, we show that ZCN8 underlies a major quantitative trait locus (QTL) (qDTA8) for flowering time that was consistently detected in multiple maize-teosinte experimental populations. Through association analysis in a large diverse panel of maize inbred lines, we identified a SNP (SNP-1245) in the ZCN8 promoter that showed the strongest association with flowering time. SNP-1245 co-segregated with qDTA8 in maize-teosinte mapping populations. We demonstrate that SNP-1245 is associated with differential binding by the flowering activator ZmMADS1. SNP-1245 was a target of selection during early domestication, which drove the pre-existing early flowering allele to near fixation in maize. Interestingly, we detected an independent association block upstream of SNP-1245, wherein the early flowering allele that most likely originated from Zea mays ssp. mexicana introgressed into the early flowering haplotype of SNP-1245 and contributed to maize adaptation to northern high latitudes. Our study demonstrates how independent cis-regulatory variants at a gene can be selected at different evolutionary times for local adaptation, highlighting how complex cis-regulatory control mechanisms evolve. Finally, we propose a polygenic map for the pre-Columbian spread of maize throughout the Americas.
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Affiliation(s)
- Li Guo
- National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Xuehan Wang
- National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Min Zhao
- National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Cheng Huang
- National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Cong Li
- National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Dan Li
- National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Chin Jian Yang
- Department of Genetics, University of Wisconsin, Madison, WI 53706, USA
| | - Alessandra M York
- Department of Genetics, University of Wisconsin, Madison, WI 53706, USA
| | - Wei Xue
- Department of Genetics, University of Wisconsin, Madison, WI 53706, USA
| | - Guanghui Xu
- National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Yameng Liang
- National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Qiuyue Chen
- National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China; Department of Genetics, University of Wisconsin, Madison, WI 53706, USA
| | - John F Doebley
- Department of Genetics, University of Wisconsin, Madison, WI 53706, USA
| | - Feng Tian
- National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China.
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