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Keilwagen J, Lehnert H, Badaeva ED, Özkan H, Sharma S, Civáň P, Kilian B. Finding needles in a haystack: identification of inter-specific introgressions in wheat genebank collections using low-coverage sequencing data. FRONTIERS IN PLANT SCIENCE 2023; 14:1166854. [PMID: 37346114 PMCID: PMC10280009 DOI: 10.3389/fpls.2023.1166854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 05/02/2023] [Indexed: 06/23/2023]
Abstract
Recently, entire genebank collections of wheat have been extensively characterized with sequencing data. We have identified introgressions using these genotyping-by-sequencing and whole-genome sequencing data. On the basis of our results, we provide information about predicted introgressions at 1-Mb resolution for 9,172 wheat samples as a resource for breeders and scientists. We recommend that all plant genetic resources, including genebank collections, be characterized using a combination of variant calling and introgression prediction. This is necessary to identify potential duplicates in collections efficiently and reliably, and to select promising germplasms with potentially beneficial introgressions for further characterization and prospective breeding application.
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Affiliation(s)
- Jens Keilwagen
- Institute for Biosafety in Plant Biotechnology, Julius Kuehn Institute, Quedlinburg, Germany
| | - Heike Lehnert
- Institute for Biosafety in Plant Biotechnology, Julius Kuehn Institute, Quedlinburg, Germany
| | - Ekaterina D. Badaeva
- N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
- The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
| | - Hakan Özkan
- Department of Field Crops, Faculty of Agriculture, University of Çukurova, Adana, Türkiye
| | | | - Peter Civáň
- Université Clermont Auvergne, INRAE, Génétique, Diversité et Ecophysiologie des Céréales, Clermont-Ferrand, France
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2
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König P, Beier S, Mascher M, Stein N, Lange M, Scholz U. DivBrowse-interactive visualization and exploratory data analysis of variant call matrices. Gigascience 2022; 12:giad025. [PMID: 37083938 PMCID: PMC10120423 DOI: 10.1093/gigascience/giad025] [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] [Received: 09/23/2022] [Revised: 01/23/2023] [Accepted: 03/23/2023] [Indexed: 04/22/2023] Open
Abstract
BACKGROUND The sequencing of whole genomes is becoming increasingly affordable. In this context, large-scale sequencing projects are generating ever larger datasets of species-specific genomic diversity. As a consequence, more and more genomic data need to be made easily accessible and analyzable to the scientific community. FINDINGS We present DivBrowse, a web application for interactive visualization and exploratory analysis of genomic diversity data stored in Variant Call Format (VCF) files of any size. By seamlessly combining BLAST as an entry point together with interactive data analysis features such as principal component analysis in one graphical user interface, DivBrowse provides a novel and unique set of exploratory data analysis capabilities for genomic biodiversity datasets. The capability to integrate DivBrowse into existing web applications supports interoperability between different web applications. Built-in interactive computation of principal component analysis allows users to perform ad hoc analysis of the population structure based on specific genetic elements such as genes and exons. Data interoperability is supported by the ability to export genomic diversity data in VCF and General Feature Format 3 files. CONCLUSION DivBrowse offers a novel approach for interactive visualization and analysis of genomic diversity data and optionally also gene annotation data by including features like interactive calculation of variant frequencies and principal component analysis. The use of established standard file formats for data input supports interoperability and seamless deployment of application instances based on the data output of established bioinformatics pipelines.
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Affiliation(s)
- Patrick König
- Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466 Seeland, Germany
| | - Sebastian Beier
- Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466 Seeland, Germany
- Institute of Bio- and Geosciences, IBG-4, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
| | - Martin Mascher
- Department of Genebank, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466 Seeland, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103 Leipzig, Germany
| | - Nils Stein
- Department of Genebank, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466 Seeland, Germany
- Center for Integrated Breeding Research, Georg-August University, 37075 Göttingen, Germany
| | - Matthias Lange
- Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466 Seeland, Germany
| | - Uwe Scholz
- Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466 Seeland, Germany
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3
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Feser M, König P, Fiebig A, Arend D, Lange M, Scholz U. On the way to plant data commons - a genotyping use case. J Integr Bioinform 2022; 19:jib-2022-0033. [PMID: 36065132 PMCID: PMC9800039 DOI: 10.1515/jib-2022-0033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/04/2022] [Accepted: 08/11/2022] [Indexed: 01/09/2023] Open
Abstract
Over the last years it has been observed that the progress in data collection in life science has created increasing demand and opportunities for advanced bioinformatics. This includes data management as well as the individual data analysis and often covers the entire data life cycle. A variety of tools have been developed to store, share, or reuse the data produced in the different domains such as genotyping. Especially imputation, as a subfield of genotyping, requires good Research Data Management (RDM) strategies to enable use and re-use of genotypic data. To aim for sustainable software, it is necessary to develop tools and surrounding ecosystems, which are reusable and maintainable. Reusability in the context of streamlined tools can e.g. be achieved by standardizing the input and output of the different tools and adapting to open and broadly used file formats. By using such established file formats, the tools can also be connected with others, improving the overall interoperability of the software. Finally, it is important to build strong communities that maintain the tools by developing and contributing new features and maintenance updates. In this article, concepts for this will be presented for an imputation service.
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Affiliation(s)
- Manuel Feser
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466Seeland, Germany
| | - Patrick König
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466Seeland, Germany
| | - Anne Fiebig
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466Seeland, Germany
| | - Daniel Arend
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466Seeland, Germany
| | - Matthias Lange
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466Seeland, Germany
| | - Uwe Scholz
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466Seeland, Germany
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4
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Hudzenko VM, Buniak NM, Tsentylo LV, Demydov OA, Fedorenko IV, Fedorenko MV, Ishchenko VA, Kozelets HM, Khudolii LV, Lashuk SO, Syplyva NO. Evaluation of grain yield performance and its stability in various spring barley accessions under condition of different agroclimatic zones of Ukraine. BIOSYSTEMS DIVERSITY 2022. [DOI: 10.15421/012240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023] Open
Abstract
Two extremely urgent problems of biological and agronomic research nowadays are ensuring an optimal balance between usage of natural resources to meet rapidly growing needs for food production and preservation of biodiversity. It is also important to extend the genetic diversity of the main crop varieties in agroecosystems. At the same time, modern varieties should be characterized by a combination of high yield and preserving yield stability under variable conditions. Solving the outlined tasks requires comprehensive research and involvement in breeding process of the genetical diversity concentrated in genebanks of the world. Barley (Hordeum vulgare L.) is one of the most important crops that satisfy the various needs of humanity. In respect to this, in 2020–2022, a multi-environment trial was conducted in three agroclimatic zones of Ukraine (Forest-Steppe, Polissia, and Northern Steppe). We studied 44 spring barley collection accessions of different ecological and geographical origin, different subspecies and groups of botanical varieties which were obtained from the National Center for Plant Genetic Resources of Ukraine. Statistical indices (Hom, Sc) and graphical models (GGE biplot, AMMI) were used to interpret the yield performance and its stability. Both individual ecological sites in different years and combinations of different sites and years of trials were characterized for productivity, discriminating power and representativeness. The environments differed quite strongly among themselves in terms of these indicators. It was established that most of the genotypes were characterized by higher adaptability to individual environmental conditions (stability in different years), compared to adaptability for all agroclimatic zones (wide adaptation). A strong cross-over genotype by environment interaction was found for most studied accessions. Nevertheless, both genotypes with very high stability in only one agroclimatic zone (Amil (UKR), Gateway (CAN)) and genotypes with a combination of high adaptability to one or two ecological niches and relatively higher wide adaptability (Stymul (UKR), Ly-1064 (UKR), Rannij (KAZ), Shedevr (UKR), and Arthur (CZE)) were identified. There were also the accessions which did not show maximum performance in the individual sites, but had relatively higher wide adaptability (Ly-1059 (UKR), Ly-1120 (UKR), Diantus (UKR), and Danielle (CZE)). In general, the naked barley genotypes were inferior to the covered ones in terms of yield potential and wide adaptability, but at the same time, some of them (CDC ExPlus (CAN), CDC Gainer (CAN), and Roseland (CAN)), accordingly to the statistical indicators, had increased stability in certain ecological sites. Among naked barley accessions relatively better wide adaptability according to the graphical analysis was found in the accession CDC McGwire (CAN), and by the statistical parameters CDC ExPlus (CAN) was better than standard. The peculiarities of yield manifestation and its variability in different spring barley genotypes in the multi-environment trial revealed in this study will contribute to the complementation and deepening of existing data in terms of the genotype by environment interaction. Our results can be used in further studies for developing spring barley variety models both with specific and wide adaptation under conditions of different agroclimatic zones of Ukraine. The disitnguished accessions of different origin and botanical affiliation are recommended for creating a new breeding material with the aim of simultaneously increasing yield potential and stability, as well as widening the genetic basis of spring barley varieties.
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van der Velde KJ, Singh G, Kaliyaperumal R, Liao X, de Ridder S, Rebers S, Kerstens HHD, de Andrade F, van Reeuwijk J, De Gruyter FE, Hiltemann S, Ligtvoet M, Weiss MM, van Deutekom HWM, Jansen AML, Stubbs AP, Vissers LELM, Laros JFJ, van Enckevort E, Stemkens D, 't Hoen PAC, Beliën JAM, van Gijn ME, Swertz MA. FAIR Genomes metadata schema promoting Next Generation Sequencing data reuse in Dutch healthcare and research. Sci Data 2022; 9:169. [PMID: 35418585 PMCID: PMC9008059 DOI: 10.1038/s41597-022-01265-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 03/25/2022] [Indexed: 11/08/2022] Open
Abstract
The genomes of thousands of individuals are profiled within Dutch healthcare and research each year. However, this valuable genomic data, associated clinical data and consent are captured in different ways and stored across many systems and organizations. This makes it difficult to discover rare disease patients, reuse data for personalized medicine and establish research cohorts based on specific parameters. FAIR Genomes aims to enable NGS data reuse by developing metadata standards for the data descriptions needed to FAIRify genomic data while also addressing ELSI issues. We developed a semantic schema of essential data elements harmonized with international FAIR initiatives. The FAIR Genomes schema v1.1 contains 110 elements in 9 modules. It reuses common ontologies such as NCIT, DUO and EDAM, only introducing new terms when necessary. The schema is represented by a YAML file that can be transformed into templates for data entry software (EDC) and programmatic interfaces (JSON, RDF) to ease genomic data sharing in research and healthcare. The schema, documentation and MOLGENIS reference implementation are available at https://fairgenomes.org .
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Affiliation(s)
- K Joeri van der Velde
- University of Groningen and University Medical Center Groningen, Genomics Coordination Center, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands
- University of Groningen and University Medical Center Groningen, Department of Genetics, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands
| | - Gurnoor Singh
- Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Center for Molecular and Biomolecular Informatics, Geert Grooteplein 28, 6525 GA, Nijmegen, The Netherlands
| | - Rajaram Kaliyaperumal
- Leiden University Medical Center, Department of Human Genetics, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - XiaoFeng Liao
- Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Center for Molecular and Biomolecular Informatics, Geert Grooteplein 28, 6525 GA, Nijmegen, The Netherlands
| | - Sander de Ridder
- Amsterdam University Medical Center, University of Amsterdam, Department of Pathology, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Susanne Rebers
- The Netherlands Cancer Institute, Division of Molecular Pathology, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Hindrik H D Kerstens
- Prinses Máxima Center for Pediatric Oncology, Kemmeren group, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
| | - Fernanda de Andrade
- University of Groningen and University Medical Center Groningen, Genomics Coordination Center, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands
| | - Jeroen van Reeuwijk
- Radboud University Medical Center, Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Fini E De Gruyter
- University Medical Center Utrecht, Department of Genetics, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Saskia Hiltemann
- Erasmus Medical Center, Department of Pathology, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Maarten Ligtvoet
- Nictiz - Dutch competence centre for electronic exchange of health and care information, Oude Middenweg 55, 2491 AC, The Hague, The Netherlands
| | - Marjan M Weiss
- Radboud University Medical Center, Department of Human Genetics, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Hanneke W M van Deutekom
- University Medical Center Utrecht, Department of Genetics, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Anne M L Jansen
- University Medical Center Utrecht, Department of Pathology, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Andrew P Stubbs
- Erasmus Medical Center, Department of Pathology, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Lisenka E L M Vissers
- Radboud University Medical Center, Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Jeroen F J Laros
- Leiden University Medical Center, Department of Human Genetics, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
- Leiden University Medical Center, Department of Clinical Genetics, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
- Rijksinstituut voor Volksgezondheid en Milieu, Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands
| | - Esther van Enckevort
- University of Groningen and University Medical Center Groningen, Genomics Coordination Center, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands
| | - Daphne Stemkens
- VSOP - Patient Alliance for Rare and Genetic Diseases The Netherlands, Koninginnelaan 23, 3762 DA, Soest, The Netherlands
| | - Peter A C 't Hoen
- Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Center for Molecular and Biomolecular Informatics, Geert Grooteplein 28, 6525 GA, Nijmegen, The Netherlands
| | - Jeroen A M Beliën
- Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Department of Pathology, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Mariëlle E van Gijn
- University of Groningen and University Medical Center Groningen, Department of Genetics, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands
| | - Morris A Swertz
- University of Groningen and University Medical Center Groningen, Genomics Coordination Center, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands.
- University of Groningen and University Medical Center Groningen, Department of Genetics, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands.
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6
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Yuan Z, Yang H, Pan L, Zhao W, Liang L, Gatera A, Tucker MR, Xu D. Systematic identification and expression profiles of the BAHD superfamily acyltransferases in barley (Hordeum vulgare). Sci Rep 2022; 12:5063. [PMID: 35332203 PMCID: PMC8948222 DOI: 10.1038/s41598-022-08983-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 03/14/2022] [Indexed: 12/28/2022] Open
Abstract
BAHD superfamily acyltransferases play an important role in catalyzing and regulating secondary metabolism in plants. Despite this, there is relatively little information regarding the BAHD superfamily in barley. In this study, we identified 116 HvBAHD acyltransferases from the barley genome. Based on phylogenetic analysis and classification in model monocotyledonous and dicotyledonous plants, we divided the genes into eight groups, I-a, I-b, II, III-a, III-b, IV, V-a and V-b. The Clade IV genes, including Agmatine Coumarol Transferase (ACT) that is associated with resistance of plants to Gibberella fungi, were absent in Arabidopsis. Cis-regulatory element analysis of the HvBAHDs showed that the genes respond positively to GA3 treatment. In-silico expression and qPCR analysis showed the HvBAHD genes are expressed in a range of tissues and developmental stages, and highly enriched in the seedling stage, consistent with diverse roles. Single nucleotide polymorphism (SNP) scanning analysis revealed that the natural variation in the coding regions of the HvBAHDs is low and the sequences have been conserved during barley domestication. Our results reveal the complexity of the HvBAHDs and will help facilitate their analysis in further studies.
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Affiliation(s)
- Zhen Yuan
- School of Agronomy, Anhui Agricultural University, Hefei, 230036, China
| | - Hongliang Yang
- School of Agronomy, Anhui Agricultural University, Hefei, 230036, China
| | - Leiwen Pan
- School of Agronomy, Anhui Agricultural University, Hefei, 230036, China
| | - Wenhui Zhao
- School of Agronomy, Anhui Agricultural University, Hefei, 230036, China
| | - Lunping Liang
- School of Agronomy, Anhui Agricultural University, Hefei, 230036, China
| | - Anicet Gatera
- School of Agronomy, Anhui Agricultural University, Hefei, 230036, China
| | - Matthew R Tucker
- School of Agriculture, Food and Wine, Waite Research Institute, University of Adelaide, Adelaide, SA, 5064, Australia
| | - Dawei Xu
- School of Agronomy, Anhui Agricultural University, Hefei, 230036, China.
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7
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Garibay-Hernández A, Kessler N, Józefowicz AM, Türksoy GM, Lohwasser U, Mock HP. Untargeted metabotyping to study phenylpropanoid diversity in crop plants. PHYSIOLOGIA PLANTARUM 2021; 173:680-697. [PMID: 33963574 DOI: 10.1111/ppl.13458] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 05/03/2021] [Accepted: 05/05/2021] [Indexed: 06/12/2023]
Abstract
Plant genebanks constitute a key resource for breeding to ensure crop yield under changing environmental conditions. Because of their roles in a range of stress responses, phenylpropanoids are promising targets. Phenylpropanoids comprise a wide array of metabolites; however, studies regarding their diversity and the underlying genes are still limited for cereals. The assessment of barley diversity via genotyping-by-sequencing is in rapid progress. Exploring these resources by integrating genetic association studies to in-depth metabolomic profiling provides a valuable opportunity to study barley phenylpropanoid metabolism; but poses a challenge by demanding large-scale approaches. Here, we report an LC-PDA-MS workflow for barley high-throughput metabotyping. Without prior construction of a species-specific library, this method produced phenylpropanoid-enriched metabotypes with which the abundance of putative metabolic features was assessed across hundreds of samples in a single-processed data matrix. The robustness of the analytical performance was tested using a standard mix and extracts from two selected cultivars: Scarlett and Barke. The large-scale analysis of barley extracts showed (1) that barley flag leaf profiles were dominated by glycosylation derivatives of isovitexin, isoorientin, and isoscoparin; (2) proved the workflow's capability to discriminate within genotypes; (3) highlighted the role of glycosylation in barley phenylpropanoid diversity. Using the barley S42IL mapping population, the workflow proved useful for metabolic quantitative trait loci purposes. The protocol can be readily applied not only to explore the barley phenylpropanoid diversity represented in genebanks but also to study species whose profiles differ from those of cereals: the crop Helianthus annuus (sunflower) and the model plant Arabidopsis thaliana.
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Affiliation(s)
| | | | | | - Gözde Merve Türksoy
- Leibniz Institute for Plant Genetics and Crop Plant Research, Gatersleben, Germany
| | - Ulrike Lohwasser
- Leibniz Institute for Plant Genetics and Crop Plant Research, Gatersleben, Germany
| | - Hans-Peter Mock
- Leibniz Institute for Plant Genetics and Crop Plant Research, Gatersleben, Germany
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8
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Bellucci E, Mario Aguilar O, Alseekh S, Bett K, Brezeanu C, Cook D, De la Rosa L, Delledonne M, Dostatny DF, Ferreira JJ, Geffroy V, Ghitarrini S, Kroc M, Kumar Agrawal S, Logozzo G, Marino M, Mary‐Huard T, McClean P, Meglič V, Messer T, Muel F, Nanni L, Neumann K, Servalli F, Străjeru S, Varshney RK, Vasconcelos MW, Zaccardelli M, Zavarzin A, Bitocchi E, Frontoni E, Fernie AR, Gioia T, Graner A, Guasch L, Prochnow L, Oppermann M, Susek K, Tenaillon M, Papa R. The INCREASE project: Intelligent Collections of food-legume genetic resources for European agrofood systems. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2021; 108:646-660. [PMID: 34427014 PMCID: PMC9293105 DOI: 10.1111/tpj.15472] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 08/11/2021] [Accepted: 08/17/2021] [Indexed: 05/14/2023]
Abstract
Food legumes are crucial for all agriculture-related societal challenges, including climate change mitigation, agrobiodiversity conservation, sustainable agriculture, food security and human health. The transition to plant-based diets, largely based on food legumes, could present major opportunities for adaptation and mitigation, generating significant co-benefits for human health. The characterization, maintenance and exploitation of food-legume genetic resources, to date largely unexploited, form the core development of both sustainable agriculture and a healthy food system. INCREASE will implement, on chickpea (Cicer arietinum), common bean (Phaseolus vulgaris), lentil (Lens culinaris) and lupin (Lupinus albus and L. mutabilis), a new approach to conserve, manage and characterize genetic resources. Intelligent Collections, consisting of nested core collections composed of single-seed descent-purified accessions (i.e., inbred lines), will be developed, exploiting germplasm available both from genebanks and on-farm and subjected to different levels of genotypic and phenotypic characterization. Phenotyping and gene discovery activities will meet, via a participatory approach, the needs of various actors, including breeders, scientists, farmers and agri-food and non-food industries, exploiting also the power of massive metabolomics and transcriptomics and of artificial intelligence and smart tools. Moreover, INCREASE will test, with a citizen science experiment, an innovative system of conservation and use of genetic resources based on a decentralized approach for data management and dynamic conservation. By promoting the use of food legumes, improving their quality, adaptation and yield and boosting the competitiveness of the agriculture and food sector, the INCREASE strategy will have a major impact on economy and society and represents a case study of integrative and participatory approaches towards conservation and exploitation of crop genetic resources.
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Affiliation(s)
- Elisa Bellucci
- Department of Agricultural, Food and Environmental SciencesPolytechnic University of Marchevia Brecce BiancheAncona60131Italy
| | - Orlando Mario Aguilar
- Instituto de Biotecnología y Biología MolecularUNLP‐CONICETCCT La PlataLa PlataArgentina
| | - Saleh Alseekh
- Max‐Planck‐Institute of Molecular Plant PhysiologyAm MüePotsdam‐Golm14476Germany
- Centre of Plant Systems Biology and BiotechnologyPlovdiv4000Bulgaria
| | - Kirstin Bett
- Department of Plant SciencesUniversity of Saskatchewan51 Campus DriveSaskatoonSKS7N 5A8Canada
| | - Creola Brezeanu
- Staţiunea de Cercetare Dezvoltare Pentru LegumiculturăBacău600388Romania
| | - Douglas Cook
- Department of Plant PathologyUniversity of California DavisDavisCA95616‐8680USA
| | - Lucía De la Rosa
- Spanish Plant Genetic Resources National Center (INIA, CRF)National Institute for Agricultural and Food Research and TechnologyAlcalá de HenaresMadrid28800Spain
| | - Massimo Delledonne
- Department of BiotechnologyUniversity of VeronaStrada Le Grazie 15Verona37134Italy
| | - Denise F. Dostatny
- National Centre for Plant Genetic Resources, Plant Breeding and Acclimatization Institute‐NRIRadzikówBłonie05‐870Poland
| | - Juan J. Ferreira
- Regional Service for Agrofood Research and Development (SERIDA)Ctra AS‐267, PK 19VillaviciosaAsturias33300Spain
| | - Valérie Geffroy
- CNRSINRAEInstitute of Plant Sciences Paris‐Saclay (IPS2)Univ EvryUniversité Paris‐SaclayOrsay91405France
- CNRSINRAEInstitute of Plant Sciences Paris Saclay (IPS2)Université de ParisOrsay91405France
| | | | - Magdalena Kroc
- Legume Genomics TeamInstitute of Plant GeneticsPolish Academy of SciencesStrzeszynska 34Poznan60‐479Poland
| | - Shiv Kumar Agrawal
- Genetic Resources SectionInternational Center for Agricultural Research in the Dry AreasICARDAAgdal RabatMorocco
| | - Giuseppina Logozzo
- School of Agricultural, Forestry, Food and Environmental SciencesUniversity of BasilicataPotenza85100Italy
| | - Mario Marino
- International Treaty on Plant Genetic Resources for Food and Agriculture (ITPGRFA)Food and Agriculture Organization of the United Nations (FAO)Viale delle Terme di CaracallaRome00153Italy
| | - Tristan Mary‐Huard
- INRAECNRSAgroParisTechGénétique Quantitative et Evolution ‐ Le MoulonUniversité Paris‐SaclayGif‐sur‐YvetteFrance
| | - Phil McClean
- Department of Plant Sciences, Genomics and Bioinformatics ProgramNorth Dakota State UniversityFargoND58108USA
| | - Vladimir Meglič
- Crop Science DepartmentAgricultural Institute of SloveniaHacquetova ulica 17Ljubljana1000Slovenia
| | - Tamara Messer
- EURICE ‐ European Research and Project Office GmbHHeinrich‐Hertz‐Allee 1St. Ingbert66386Germany
| | - Frédéric Muel
- Terres InoviaInstitut Technique des oléagineux, des protéagineux eu du chanvren1 Av L. BrétignièresThiverval-Grignon78850France
| | - Laura Nanni
- Department of Agricultural, Food and Environmental SciencesPolytechnic University of Marchevia Brecce BiancheAncona60131Italy
| | - Kerstin Neumann
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) GaterslebenSeeland06466Germany
| | - Filippo Servalli
- Comunità del Mais Spinato di Gandino (MASP)Via XX Settembre, 5GandinoBergamo24024Italy
| | - Silvia Străjeru
- Suceava Genebank (BRGV)Bdul 1 Mai, nr. 17Suceava720224Romania
| | - Rajeev K. Varshney
- Center of Excellence in Genomics and Systems Biology (CEGSB)International Crops Research Institute for the Semi- Arid Tropics (ICRISAT)PatancheruIndia
- State Agricultural Biotechnology CentreCentre for Crop and Food InnovationFood Futures InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Marta W. Vasconcelos
- CBQF – Centro de Biotecnologia e Química Fina – Laboratório AssociadoEscola Superior de BiotecnologiaUniversidade Católica PortuguesaRua Diogo Botelho 1327Porto4169-005Portugal
| | - Massimo Zaccardelli
- Council for Agricultural Research and EconomicsResearch Centre for Vegetable and Ornamental CropsVia Cavalleggeri 25Pontecagnano‐FaianoSA84098Italy
| | - Aleksei Zavarzin
- Federal Research CenterThe N.I. Vavilov All‐Russian Institute of Plant Genetic ResourcesSt. Petersburg190031Russia
| | - Elena Bitocchi
- Department of Agricultural, Food and Environmental SciencesPolytechnic University of Marchevia Brecce BiancheAncona60131Italy
| | - Emanuele Frontoni
- Department of Information EngineeringPolytechnic University of Marchevia Brecce BiancheAncona60131Italy
| | - Alisdair R. Fernie
- Max‐Planck‐Institute of Molecular Plant PhysiologyAm MüePotsdam‐Golm14476Germany
- Centre of Plant Systems Biology and BiotechnologyPlovdiv4000Bulgaria
| | - Tania Gioia
- School of Agricultural, Forestry, Food and Environmental SciencesUniversity of BasilicataPotenza85100Italy
| | - Andreas Graner
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) GaterslebenSeeland06466Germany
| | - Luis Guasch
- Spanish Plant Genetic Resources National Center (INIA, CRF)National Institute for Agricultural and Food Research and TechnologyAlcalá de HenaresMadrid28800Spain
| | - Lena Prochnow
- EURICE ‐ European Research and Project Office GmbHHeinrich‐Hertz‐Allee 1St. Ingbert66386Germany
| | - Markus Oppermann
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) GaterslebenSeeland06466Germany
| | - Karolina Susek
- Legume Genomics TeamInstitute of Plant GeneticsPolish Academy of SciencesStrzeszynska 34Poznan60‐479Poland
| | - Maud Tenaillon
- INRAECNRSAgroParisTechGénétique Quantitative et Evolution ‐ Le MoulonUniversité Paris‐SaclayGif‐sur‐YvetteFrance
| | - Roberto Papa
- Department of Agricultural, Food and Environmental SciencesPolytechnic University of Marchevia Brecce BiancheAncona60131Italy
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9
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Volk GM, Byrne PF, Coyne CJ, Flint-Garcia S, Reeves PA, Richards C. Integrating Genomic and Phenomic Approaches to Support Plant Genetic Resources Conservation and Use. PLANTS (BASEL, SWITZERLAND) 2021; 10:2260. [PMID: 34834625 PMCID: PMC8619436 DOI: 10.3390/plants10112260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 10/20/2021] [Accepted: 10/20/2021] [Indexed: 05/17/2023]
Abstract
Plant genebanks provide genetic resources for breeding and research programs worldwide. These programs benefit from having access to high-quality, standardized phenotypic and genotypic data. Technological advances have made it possible to collect phenomic and genomic data for genebank collections, which, with the appropriate analytical tools, can directly inform breeding programs. We discuss the importance of considering genebank accession homogeneity and heterogeneity in data collection and documentation. Citing specific examples, we describe how well-documented genomic and phenomic data have met or could meet the needs of plant genetic resource managers and users. We explore future opportunities that may emerge from improved documentation and data integration among plant genetic resource information systems.
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Affiliation(s)
- Gayle M. Volk
- United States Department of Agriculture, Agricultural Research Service, National Laboratory for Genetic Resources Preservation, Fort Collins, CO 80521, USA; (P.A.R.); (C.R.)
| | - Patrick F. Byrne
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523, USA;
| | - Clarice J. Coyne
- United States Department of Agriculture, Agricultural Research Service, Western Regional Plant Introduction Station, Pullman, WA 99164, USA;
| | - Sherry Flint-Garcia
- Plant Genetics Research Unit, United States Department of Agriculture, Agricultural Research Service, Columbia, MO 65211, USA;
| | - Patrick A. Reeves
- United States Department of Agriculture, Agricultural Research Service, National Laboratory for Genetic Resources Preservation, Fort Collins, CO 80521, USA; (P.A.R.); (C.R.)
| | - Chris Richards
- United States Department of Agriculture, Agricultural Research Service, National Laboratory for Genetic Resources Preservation, Fort Collins, CO 80521, USA; (P.A.R.); (C.R.)
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10
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Sharma S, Schulthess AW, Bassi FM, Badaeva ED, Neumann K, Graner A, Özkan H, Werner P, Knüpffer H, Kilian B. Introducing Beneficial Alleles from Plant Genetic Resources into the Wheat Germplasm. BIOLOGY 2021; 10:982. [PMID: 34681081 PMCID: PMC8533267 DOI: 10.3390/biology10100982] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 09/24/2021] [Accepted: 09/24/2021] [Indexed: 12/02/2022]
Abstract
Wheat (Triticum sp.) is one of the world's most important crops, and constantly increasing its productivity is crucial to the livelihoods of millions of people. However, more than a century of intensive breeding and selection processes have eroded genetic diversity in the elite genepool, making new genetic gains difficult. Therefore, the need to introduce novel genetic diversity into modern wheat has become increasingly important. This review provides an overview of the plant genetic resources (PGR) available for wheat. We describe the most important taxonomic and phylogenetic relationships of these PGR to guide their use in wheat breeding. In addition, we present the status of the use of some of these resources in wheat breeding programs. We propose several introgression schemes that allow the transfer of qualitative and quantitative alleles from PGR into elite germplasm. With this in mind, we propose the use of a stage-gate approach to align the pre-breeding with main breeding programs to meet the needs of breeders, farmers, and end-users. Overall, this review provides a clear starting point to guide the introgression of useful alleles over the next decade.
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Affiliation(s)
- Shivali Sharma
- Global Crop Diversity Trust, Platz der Vereinten Nationen 7, D-53113 Bonn, Germany; (S.S.); (P.W.)
| | - Albert W. Schulthess
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, Corrensstr. 3, D-06466 Seeland, Germany; (A.W.S.); (K.N.); (A.G.); (H.K.)
| | - Filippo M. Bassi
- International Center for Agricultural Research in the Dry Areas (ICARDA), Rabat 10112, Morocco;
| | - Ekaterina D. Badaeva
- N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991 Moscow, Russia;
- The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), 630090 Novosibirsk, Russia
| | - Kerstin Neumann
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, Corrensstr. 3, D-06466 Seeland, Germany; (A.W.S.); (K.N.); (A.G.); (H.K.)
| | - Andreas Graner
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, Corrensstr. 3, D-06466 Seeland, Germany; (A.W.S.); (K.N.); (A.G.); (H.K.)
| | - Hakan Özkan
- Department of Field Crops, Faculty of Agriculture, University of Çukurova, Adana 01330, Turkey;
| | - Peter Werner
- Global Crop Diversity Trust, Platz der Vereinten Nationen 7, D-53113 Bonn, Germany; (S.S.); (P.W.)
| | - Helmut Knüpffer
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, Corrensstr. 3, D-06466 Seeland, Germany; (A.W.S.); (K.N.); (A.G.); (H.K.)
| | - Benjamin Kilian
- Global Crop Diversity Trust, Platz der Vereinten Nationen 7, D-53113 Bonn, Germany; (S.S.); (P.W.)
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11
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Kaur B, Sandhu KS, Kamal R, Kaur K, Singh J, Röder MS, Muqaddasi QH. Omics for the Improvement of Abiotic, Biotic, and Agronomic Traits in Major Cereal Crops: Applications, Challenges, and Prospects. PLANTS 2021; 10:plants10101989. [PMID: 34685799 PMCID: PMC8541486 DOI: 10.3390/plants10101989] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 09/17/2021] [Accepted: 09/18/2021] [Indexed: 12/22/2022]
Abstract
Omics technologies, namely genomics, transcriptomics, proteomics, metabolomics, and phenomics, are becoming an integral part of virtually every commercial cereal crop breeding program, as they provide substantial dividends per unit time in both pre-breeding and breeding phases. Continuous advances in omics assure time efficiency and cost benefits to improve cereal crops. This review provides a comprehensive overview of the established omics methods in five major cereals, namely rice, sorghum, maize, barley, and bread wheat. We cover the evolution of technologies in each omics section independently and concentrate on their use to improve economically important agronomic as well as biotic and abiotic stress-related traits. Advancements in the (1) identification, mapping, and sequencing of molecular/structural variants; (2) high-density transcriptomics data to study gene expression patterns; (3) global and targeted proteome profiling to study protein structure and interaction; (4) metabolomic profiling to quantify organ-level, small-density metabolites, and their composition; and (5) high-resolution, high-throughput, image-based phenomics approaches are surveyed in this review.
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Affiliation(s)
- Balwinder Kaur
- Everglades Research and Education Center, University of Florida, 3200 E. Palm Beach Rd., Belle Glade, FL 33430, USA;
| | - Karansher S. Sandhu
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99163, USA;
| | - Roop Kamal
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, 06466 Stadt Seeland, Germany; (R.K.); or (M.S.R.)
| | - Kawalpreet Kaur
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada;
| | - Jagmohan Singh
- Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India;
| | - Marion S. Röder
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, 06466 Stadt Seeland, Germany; (R.K.); or (M.S.R.)
| | - Quddoos H. Muqaddasi
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, 06466 Stadt Seeland, Germany; (R.K.); or (M.S.R.)
- Correspondence: or
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12
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Psaroudakis D, Liu F, König P, Scholz U, Junker A, Lange M, Arend D. isa4j: a scalable Java library for creating ISA-Tab metadata. F1000Res 2021; 9. [PMID: 33728038 PMCID: PMC7941097 DOI: 10.12688/f1000research.27188.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/17/2020] [Indexed: 11/26/2022] Open
Abstract
Experimental data is only useful to other researchers if it is findable, accessible, interoperable, and reusable (FAIR). The ISA-Tab framework enables scientists to publish metadata about their experiments in a plain text, machine-readable format that aims to confer that interoperability and reusability. A Python software package (isatools) is currently being developed to programmatically produce these metadata files. For Java-based environments, there is no equivalent solution yet. While the isatools package provides a lot of flexibility and a wealth of different features for the Python ecosystem, a package for JVM-based applications might offer the speed and scalability needed for writing very large ISA-Tab files, making the ISA framework available in an even wider range of situations and environments. Here we present a light-weight and scalable Java library (isa4j) for generating metadata files in the ISA-Tab format, which elegantly integrates into existing JVM applications and especially shines at generating very large files. It is modeled after the ISA core specifications and designed in keeping with isatools conventions, making it consistent and intuitive to use for the community. isa4j is implemented in Java (JDK11+) and freely available under the terms of the MIT license from the Central Maven Repository (
https://mvnrepository.com/artifact/de.ipk-gatersleben/isa4j). The source code, detailed documentation, usage examples and performance evaluations can be found at
https://github.com/IPK-BIT/isa4j.
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Affiliation(s)
- Dennis Psaroudakis
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, 06466, Germany.,Hochschule Mittweida, University of Applied Sciences, Mittweida, 09648, Germany
| | - Feng Liu
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, 06466, Germany
| | - Patrick König
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, 06466, Germany
| | - Uwe Scholz
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, 06466, Germany
| | - Astrid Junker
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, 06466, Germany
| | - Matthias Lange
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, 06466, Germany
| | - Daniel Arend
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, 06466, Germany
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13
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Thudi M, Palakurthi R, Schnable JC, Chitikineni A, Dreisigacker S, Mace E, Srivastava RK, Satyavathi CT, Odeny D, Tiwari VK, Lam HM, Hong YB, Singh VK, Li G, Xu Y, Chen X, Kaila S, Nguyen H, Sivasankar S, Jackson SA, Close TJ, Shubo W, Varshney RK. Genomic resources in plant breeding for sustainable agriculture. JOURNAL OF PLANT PHYSIOLOGY 2021; 257:153351. [PMID: 33412425 PMCID: PMC7903322 DOI: 10.1016/j.jplph.2020.153351] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 12/14/2020] [Accepted: 12/14/2020] [Indexed: 05/19/2023]
Abstract
Climate change during the last 40 years has had a serious impact on agriculture and threatens global food and nutritional security. From over half a million plant species, cereals and legumes are the most important for food and nutritional security. Although systematic plant breeding has a relatively short history, conventional breeding coupled with advances in technology and crop management strategies has increased crop yields by 56 % globally between 1965-85, referred to as the Green Revolution. Nevertheless, increased demand for food, feed, fiber, and fuel necessitates the need to break existing yield barriers in many crop plants. In the first decade of the 21st century we witnessed rapid discovery, transformative technological development and declining costs of genomics technologies. In the second decade, the field turned towards making sense of the vast amount of genomic information and subsequently moved towards accurately predicting gene-to-phenotype associations and tailoring plants for climate resilience and global food security. In this review we focus on genomic resources, genome and germplasm sequencing, sequencing-based trait mapping, and genomics-assisted breeding approaches aimed at developing biotic stress resistant, abiotic stress tolerant and high nutrition varieties in six major cereals (rice, maize, wheat, barley, sorghum and pearl millet), and six major legumes (soybean, groundnut, cowpea, common bean, chickpea and pigeonpea). We further provide a perspective and way forward to use genomic breeding approaches including marker-assisted selection, marker-assisted backcrossing, haplotype based breeding and genomic prediction approaches coupled with machine learning and artificial intelligence, to speed breeding approaches. The overall goal is to accelerate genetic gains and deliver climate resilient and high nutrition crop varieties for sustainable agriculture.
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Affiliation(s)
- Mahendar Thudi
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India; University of Southern Queensland, Toowoomba, Australia
| | - Ramesh Palakurthi
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | - Annapurna Chitikineni
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | - Emma Mace
- Agri-Science Queensland, Department of Agriculture & Fisheries (DAF), Warwick, Australia
| | - Rakesh K Srivastava
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - C Tara Satyavathi
- Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute (IARI), New Delhi, India
| | - Damaris Odeny
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Nairobi, Kenya
| | | | - Hon-Ming Lam
- Center for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region
| | - Yan Bin Hong
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Vikas K Singh
- South Asia Hub, International Rice Research Institute (IRRI), Hyderabad, India
| | - Guowei Li
- Shandong Academy of Agricultural Sciences, Jinan, China
| | - Yunbi Xu
- International Maize and Wheat Improvement Center (CYMMIT), Mexico DF, Mexico; Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaoping Chen
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Sanjay Kaila
- Department of Biotechnology, Ministry of Science and Technology, Government of India, India
| | - Henry Nguyen
- National Centre for Soybean Research, University of Missouri, Columbia, USA
| | - Sobhana Sivasankar
- Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Vienna, Austria
| | | | | | - Wan Shubo
- Shandong Academy of Agricultural Sciences, Jinan, China
| | - Rajeev K Varshney
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
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14
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Lück S, Strickert M, Lorbeer M, Melchert F, Backhaus A, Kilias D, Seiffert U, Douchkov D. "Macrobot": An Automated Segmentation-Based System for Powdery Mildew Disease Quantification. PLANT PHENOMICS (WASHINGTON, D.C.) 2020; 2020:5839856. [PMID: 33313559 PMCID: PMC7706317 DOI: 10.34133/2020/5839856] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 07/27/2020] [Indexed: 05/25/2023]
Abstract
Managing plant diseases is increasingly difficult due to reasons such as intensifying the field production, climatic change-driven expansion of pests, redraw and loss of effectiveness of pesticides, rapid breakdown of the disease resistance in the field, and other factors. The substantial progress in genomics of both plants and pathogens, achieved in the last decades, has the potential to counteract this negative trend, however, only when the genomic data is supported by relevant phenotypic data that allows linking the genomic information to specific traits. We have developed a set of methods and equipment and combined them into a "Macrophenomics facility." The pipeline has been optimized for the quantification of powdery mildew infection symptoms on wheat and barley, but it can be adapted to other diseases and host plants. The Macrophenomics pipeline scores the visible powdery mildew disease symptoms, typically 5-7 days after inoculation (dai), in a highly automated manner. The system can precisely and reproducibly quantify the percentage of the infected leaf area with a theoretical throughput of up to 10000 individual samples per day, making it appropriate for phenotyping of large germplasm collections and crossing populations.
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Affiliation(s)
- Stefanie Lück
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Correnstr. 3, 06466 Seeland, Germany
| | - Marc Strickert
- Physics Institute II, University of Giessen, Heinrich-Buff-Ring 16, 35392 Giessen, Germany
| | - Maximilian Lorbeer
- Julius Kühn Institute for National and International Plant Health, Messeweg 11/12, 38104 Braunschweig, Germany
| | - Friedrich Melchert
- Fraunhofer Institute for Factory Operation and Automation (IFF), Sandtorstr. 22, 39106 Magdeburg, Germany
| | - Andreas Backhaus
- Fraunhofer Institute for Factory Operation and Automation (IFF), Sandtorstr. 22, 39106 Magdeburg, Germany
| | - David Kilias
- Fraunhofer Institute for Factory Operation and Automation (IFF), Sandtorstr. 22, 39106 Magdeburg, Germany
| | - Udo Seiffert
- Fraunhofer Institute for Factory Operation and Automation (IFF), Sandtorstr. 22, 39106 Magdeburg, Germany
| | - Dimitar Douchkov
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Correnstr. 3, 06466 Seeland, Germany
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15
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McCouch S, Navabi ZK, Abberton M, Anglin NL, Barbieri RL, Baum M, Bett K, Booker H, Brown GL, Bryan GJ, Cattivelli L, Charest D, Eversole K, Freitas M, Ghamkhar K, Grattapaglia D, Henry R, Valadares Inglis MC, Islam T, Kehel Z, Kersey PJ, King GJ, Kresovich S, Marden E, Mayes S, Ndjiondjop MN, Nguyen HT, Paiva SR, Papa R, Phillips PWB, Rasheed A, Richards C, Rouard M, Amstalden Sampaio MJ, Scholz U, Shaw PD, Sherman B, Staton SE, Stein N, Svensson J, Tester M, Montenegro Valls JF, Varshney R, Visscher S, von Wettberg E, Waugh R, Wenzl P, Rieseberg LH. Mobilizing Crop Biodiversity. MOLECULAR PLANT 2020; 13:1341-1344. [PMID: 32835887 DOI: 10.1016/j.molp.2020.08.011] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 08/19/2020] [Accepted: 08/19/2020] [Indexed: 05/10/2023]
Affiliation(s)
- Susan McCouch
- Plant Breeding and Genetics, School of Integrated Plant Sciences, Cornell University, Ithaca, NY, 14853, USA
| | - Zahra Katy Navabi
- DivSeek, Global Institute for Food Security, 110 Gymnasium Place, University of Saskatchewan, Saskatoon, SK, S7N 0W9, Canada; Global Institute for Food Security, 110 Gymnasium Place, University of Saskatchewan, Saskatoon, SK, S7N 4J8, Canada
| | - Michael Abberton
- International Institute of Tropical Agriculture (IITA), PMB 5320, Oyo Rd, Ibadan, Nigeria
| | - Noelle L Anglin
- International Potato Center (CIP) 1895 Avenida La Molina, Lima Peru 12, Lima 15023, Peru
| | - Rosa Lia Barbieri
- Embrapa Genetic Resources and Biotechnology, Parque Estação Biológica, Final Av W5 Norte, Caixa Postal 02372, 70770-917 - Brasília DF, Brazil
| | - Michael Baum
- International Center for Agricultural Research in the Dry Areas (ICARDA), Station Exp. INRA-Quich. Rue Hafiane Cherkaoui. Agdal. Rabat - Instituts, 10111, Rabat, Morocco
| | - Kirstin Bett
- Department of Plant Sciences, University of Saskatchewan, 51 Campus Dr., Saskatoon, SK S7N 5A8, Canada
| | - Helen Booker
- Department of Plant Agriculture, University of Guelph, Rm 316, Crop Science Bldg, 50 Stone Rd E, Guelph, ON N1G 2W1, Canada
| | - Gerald L Brown
- Genome Prairie, 111 Research Drive, Suite 101, Saskatoon, SK, S7N 3R2, Canada
| | - Glenn J Bryan
- The James Hutton Institute, Errol Road, Invergowrie, Dundee, DD2 5DA, UK
| | - Luigi Cattivelli
- CREA, Research Centre for Genomics and Bioinformatics, via San Protaso 302, Fiorenzuola d'Arda, 29017, Italy
| | - David Charest
- Genome British Columbia, 400-575 West 8th Avenue, Vancouver, BC, V5Z 0C4, Canada
| | - Kellye Eversole
- International Wheat Genome Sequencing Consortium, 2841 NE Marywood Ct, Lee's Summit, MO, 64086, USA
| | - Marcelo Freitas
- Embrapa Genetic Resources and Biotechnology, Parque Estação Biológica, Final Av W5 Norte, Caixa Postal 02372, 70770-917 - Brasília DF, Brazil
| | - Kioumars Ghamkhar
- Forage Science, Grasslands Research Centre, AgResearch, Palmerston North, 4410, New Zealand
| | - Dario Grattapaglia
- Embrapa Genetic Resources and Biotechnology, Parque Estação Biológica, Final Av W5 Norte, Caixa Postal 02372, 70770-917 - Brasília DF, Brazil
| | - Robert Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD 4072, Australia
| | - Maria Cleria Valadares Inglis
- Embrapa Genetic Resources and Biotechnology, Parque Estação Biológica, Final Av W5 Norte, Caixa Postal 02372, 70770-917 - Brasília DF, Brazil
| | - Tofazzal Islam
- Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
| | - Zakaria Kehel
- International Center for Agricultural Research in the Dry Areas (ICARDA), Station Exp. INRA-Quich. Rue Hafiane Cherkaoui. Agdal. Rabat - Instituts, 10111, Rabat, Morocco
| | - Paul J Kersey
- Royal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, UK
| | - Graham J King
- Southern Cross University, PO Box 157, Lismore, NSW 2480, Australia
| | - Stephen Kresovich
- Feed the Future Innovation Lab for Crop Improvement, 431 Weill Hall, Cornell University, Ithaca, NY, 14853, USA
| | - Emily Marden
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6R 2A5, Canada
| | - Sean Mayes
- Crops For the Future (UK) CIC 76-80 Baddow Road, Chelmsford, Essex, CM2 7PJ, UK
| | - Marie Noelle Ndjiondjop
- Africa Rice Center (AfricaRice), Mbe Research Station, Bouaké, 01 BP 2511 Bouaké, Côte d'Ivoire
| | - Henry T Nguyen
- University of Missouri, Division of Plant Sciences, 25 Agriculture Lab Bldg, College of Agriculture, Food and Natural Resources, University of Missouri, Columbia, MO 65211, USA
| | - Samuel Rezende Paiva
- Embrapa Genetic Resources and Biotechnology, Parque Estação Biológica, Final Av W5 Norte, Caixa Postal 02372, 70770-917 - Brasília DF, Brazil
| | - Roberto Papa
- Università Politecnica delle Marche, D3A-Dipartimento di Scienze Agrarie, Alimentari e Ambientali, Via Brecce Bianche, 60131, Ancona, Italy
| | - Peter W B Phillips
- Johnson Shoyama Graduate School of Public Policy, University of Saskatchewan, 101 Diefenbaker Place, Saskatoon, S7N 5B8, Canada
| | - Awais Rasheed
- CIMMYT-China office, Beijing 100081, Beijing, P.R. China
| | - Christopher Richards
- USDA-ARS National Laboratory for Genetic Resources Preservation, 1111 South Mason St, Fort Collins, CO, 80521, USA
| | - Mathieu Rouard
- Bioversity International, Parc Scientifique Agropolis II, 34397, Montpellier, Cedex 5, France
| | - Maria Jose Amstalden Sampaio
- Embrapa Genetic Resources and Biotechnology, Parque Estação Biológica, Final Av W5 Norte, Caixa Postal 02372, 70770-917 - Brasília DF, Brazil
| | - Uwe Scholz
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Corrensstr. 3, D-06466 Seeland, Germany
| | - Paul D Shaw
- The James Hutton Institute, Errol Road, Invergowrie, Dundee, DD2 5DA, UK
| | - Brad Sherman
- Law School, University of Queensland, St Lucia, QLD, 4072, Australia
| | - S Evan Staton
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6R 2A5, Canada
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Corrensstr. 3, D-06466 Seeland, Germany; CiBreed - Center for Integrated Breeding Research, Department of Crop Sciences, Georg-August University Göttingen, Von Siebold Straße 8, D-37075 Göttingen, Germany
| | | | - Mark Tester
- King Abdullah University of Science & Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Jose Francisco Montenegro Valls
- Embrapa Genetic Resources and Biotechnology, Parque Estação Biológica, Final Av W5 Norte, Caixa Postal 02372, 70770-917 - Brasília DF, Brazil
| | - Rajeev Varshney
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru - 502 324, Telangana State, India
| | - Stephen Visscher
- Global Institute for Food Security, 110 Gymnasium Place, University of Saskatchewan, Saskatoon, SK, S7N 4J8, Canada
| | - Eric von Wettberg
- University of Vermont, 63 Carrigan Drive, Jeffords Hall, Burlington, VT, 05405, USA
| | - Robbie Waugh
- The James Hutton Institute, Errol Road, Invergowrie, Dundee, DD2 5DA, UK; School of Agriculture and Wine & Waite Research Institute, University of Adelaide, Waite Campus, Glen Osmond, SA, 5064, Australia
| | - Peter Wenzl
- Centro Internacional de Agricultura Tropical (CIAT), Km 17 Recta Cali-Palmira, 763537 Cali, Colombia
| | - Loren H Rieseberg
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6R 2A5, Canada.
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16
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Abstract
Barley (Hordeum vulgare), one of the most widely cultivated cereal crops, possesses a large genome of 5.1 Gbp. Through various international collaborations, the genome has recently been sequenced and assembled at the chromosome-scale by exploiting available genetic and genomic resources. Many wild and cultivated barley accessions have been collected and preserved around the world. These accessions are crucial to obtain diverse natural and induced barley variants. The barley bioresource project aims to investigate the diversity of this crop based on purified seed and DNA samples of a large number of collected accessions. The long-term goal of this project is to analyse the genome sequences of major barley accessions worldwide. In view of technical limitations, a strategy has been employed to establish the exome structure of a selected number of accessions and to perform high-quality chromosome-scale assembly of the genomes of several major representative accessions. For the future project, an efficient annotation pipeline is essential for establishing the function of genomes and genes as well as for using this information for sequence-based digital barley breeding. In this article, the author reviews the existing barley resources along with their applications and discuss possible future directions of research in barley genomics.
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Affiliation(s)
- Kazuhiro Sato
- Institute of Plant Science and Resources, Okayama University, Kurashiki 710-0046, Japan
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17
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Lück S, Strickert M, Lorbeer M, Melchert F, Backhaus A, Kilias D, Seiffert U, Douchkov D. "Macrobot": An Automated Segmentation-Based System for Powdery Mildew Disease Quantification. PLANT PHENOMICS (WASHINGTON, D.C.) 2020; 2020:5839856. [PMID: 33313559 DOI: 10.1101/2020.03.16.993451] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 07/27/2020] [Indexed: 05/18/2023]
Abstract
Managing plant diseases is increasingly difficult due to reasons such as intensifying the field production, climatic change-driven expansion of pests, redraw and loss of effectiveness of pesticides, rapid breakdown of the disease resistance in the field, and other factors. The substantial progress in genomics of both plants and pathogens, achieved in the last decades, has the potential to counteract this negative trend, however, only when the genomic data is supported by relevant phenotypic data that allows linking the genomic information to specific traits. We have developed a set of methods and equipment and combined them into a "Macrophenomics facility." The pipeline has been optimized for the quantification of powdery mildew infection symptoms on wheat and barley, but it can be adapted to other diseases and host plants. The Macrophenomics pipeline scores the visible powdery mildew disease symptoms, typically 5-7 days after inoculation (dai), in a highly automated manner. The system can precisely and reproducibly quantify the percentage of the infected leaf area with a theoretical throughput of up to 10000 individual samples per day, making it appropriate for phenotyping of large germplasm collections and crossing populations.
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Affiliation(s)
- Stefanie Lück
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Correnstr. 3, 06466 Seeland, Germany
| | - Marc Strickert
- Physics Institute II, University of Giessen, Heinrich-Buff-Ring 16, 35392 Giessen, Germany
| | - Maximilian Lorbeer
- Julius Kühn Institute for National and International Plant Health, Messeweg 11/12, 38104 Braunschweig, Germany
| | - Friedrich Melchert
- Fraunhofer Institute for Factory Operation and Automation (IFF), Sandtorstr. 22, 39106 Magdeburg, Germany
| | - Andreas Backhaus
- Fraunhofer Institute for Factory Operation and Automation (IFF), Sandtorstr. 22, 39106 Magdeburg, Germany
| | - David Kilias
- Fraunhofer Institute for Factory Operation and Automation (IFF), Sandtorstr. 22, 39106 Magdeburg, Germany
| | - Udo Seiffert
- Fraunhofer Institute for Factory Operation and Automation (IFF), Sandtorstr. 22, 39106 Magdeburg, Germany
| | - Dimitar Douchkov
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Correnstr. 3, 06466 Seeland, Germany
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