1
|
Cápal P, Said M, Molnár I, Doležel J. Flow Cytometric Analysis and Sorting of Plant Chromosomes. Methods Mol Biol 2023; 2672:177-200. [PMID: 37335476 DOI: 10.1007/978-1-0716-3226-0_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
Flow cytometry offers a unique way of analyzing and manipulating plant chromosomes. During a rapid movement in a liquid stream, large populations can be classified in a short time according to their fluorescence and light scatter properties. Chromosomes whose optical properties differ from other chromosomes in a karyotype can be purified by flow sorting and used in a range of applications in cytogenetics, molecular biology, genomics, and proteomics. As the samples for flow cytometry must be liquid suspensions of single particles, intact chromosomes must be released from mitotic cells. This protocol describes a procedure for preparation of suspensions of mitotic metaphase chromosomes from meristem root tips and their flow cytometric analysis and sorting for various downstream applications.
Collapse
Affiliation(s)
- Petr Cápal
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of Plant Structural and Functional Genomics, Olomouc, Czech Republic
| | - Mahmoud Said
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of Plant Structural and Functional Genomics, Olomouc, Czech Republic
- Field Crops Research Institute, Agricultural Research Centre, Giza, Cairo, Egypt
| | - István Molnár
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of Plant Structural and Functional Genomics, Olomouc, Czech Republic
- Agricultural Institute, Centre for Agricultural Research, ELKH, Martonvásár, Hungary
| | - Jaroslav Doležel
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of Plant Structural and Functional Genomics, Olomouc, Czech Republic.
| |
Collapse
|
2
|
Zwyrtková J, Šimková H, Doležel J. Chromosome genomics uncovers plant genome organization and function. Biotechnol Adv 2020; 46:107659. [PMID: 33259907 DOI: 10.1016/j.biotechadv.2020.107659] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 10/10/2020] [Accepted: 11/13/2020] [Indexed: 02/07/2023]
Abstract
The identification of causal genomic loci and their interactions underlying various traits in plants has been greatly aided by progress in understanding the organization of the nuclear genome. This provides clues to the responses of plants to environmental stimuli at the molecular level. Apart from other uses, these insights are needed to fully explore the potential of new breeding techniques that rely on genome editing. However, genome analysis and sequencing is not straightforward in the many agricultural crops and their wild relatives that possess large and complex genomes. Chromosome genomics streamlines this task by dissecting the genome to single chromosomes whose DNA is then used instead of nuclear DNA. This results in a massive and lossless reduction in DNA sample complexity, reduces the time and cost of the experiment, and simplifies data interpretation. Flow cytometric sorting of condensed mitotic chromosomes makes it possible to purify single chromosomes in large quantities, and as the DNA remains intact this process can be coupled successfully with many techniques in molecular biology and genomics. Since the first experiments with flow cytometric sorting in the late 1980s, numerous applications have been developed, and chromosome genomics has been having a significant impact in many areas of research, including the sequencing of complex genomes of important crops and gene cloning. This review discusses these applications, describes their contribution to advancements in plant genome analysis and gene cloning, and outlines future directions.
Collapse
Affiliation(s)
- Jana Zwyrtková
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-77900 Olomouc, Czech Republic.
| | - Hana Šimková
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-77900 Olomouc, Czech Republic.
| | - Jaroslav Doležel
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-77900 Olomouc, Czech Republic.
| |
Collapse
|
3
|
Mining the red deer genome (CerEla1.0) to develop X-and Y-chromosome-linked STR markers. PLoS One 2020; 15:e0242506. [PMID: 33226998 PMCID: PMC7986210 DOI: 10.1371/journal.pone.0242506] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 11/03/2020] [Indexed: 12/13/2022] Open
Abstract
Microsatellites are widely applied in population and forensic genetics, wildlife studies and parentage testing in animal breeding, among others, and recently, high-throughput sequencing technologies have greatly facilitated the identification of microsatellite markers. In this study the genomic data of Cervus elaphus (CerEla1.0) was exploited, in order to identify microsatellite loci along the red deer genome and for designing the cognate primers. The bioinformatics pipeline identified 982,433 microsatellite motifs genome-wide, assorted along the chromosomes, from which 45,711 loci mapped to the X- and 1096 to the Y-chromosome. Primers were successfully designed for 170,873 loci, and validated with an independently developed autosomal tetranucleotide STR set. Ten X- and five Y-chromosome-linked microsatellites were selected and tested by two multiplex PCR setups on genomic DNA samples of 123 red deer stags. The average number of alleles per locus was 3.3, and the average gene diversity value of the markers was 0.270. The overall observed and expected heterozygosities were 0.755 and 0.832, respectively. Polymorphic Information Content (PIC) ranged between 0.469 and 0.909 per locus with a mean value of 0.813. Using the X- and Y-chromosome linked markers 19 different Y-chromosome and 72 X-chromosome lines were identified. Both the X- and the Y-haplotypes split to two distinct clades each. The Y-chromosome clades correlated strongly with the geographic origin of the haplotypes of the samples. Segregation and admixture of subpopulations were demonstrated by the use of the combination of nine autosomal and 16 sex chromosomal STRs concerning southwestern and northeastern Hungary. In conclusion, the approach demonstrated here is a very efficient method for developing microsatellite markers for species with available genomic sequence data, as well as for their use in individual identifications and in population genetics studies.
Collapse
|
4
|
Vrána J, Cápal P, Šimková H, Karafiátová M, Čížková J, Doležel J. Flow Analysis and Sorting of Plant Chromosomes. CURRENT PROTOCOLS IN CYTOMETRY 2016; 78:5.3.1-5.3.43. [PMID: 27723090 DOI: 10.1002/cpcy.9] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Analysis and sorting of plant chromosomes (plant flow cytogenetics) is a special application of flow cytometry in plant genomics and its success depends critically on sample quality. This unit describes the methodology in a stepwise manner, starting with the induction of cell cycle synchrony and accumulation of dividing cells in mitotic metaphase, and continues with the preparation of suspensions of intact mitotic chromosomes, flow analysis and sorting of chromosomes, and finally processing of the sorted chromosomes. Each step of the protocol is described in detail as some procedures have not been used widely. Supporting histograms are presented as well as hints on dealing with plant material; the utility of sorted chromosomes for plant genomics is also discussed. © 2016 by John Wiley & Sons, Inc.
Collapse
Affiliation(s)
- Jan Vrána
- Institute of Experimental Botany, Center of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Petr Cápal
- Institute of Experimental Botany, Center of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Hana Šimková
- Institute of Experimental Botany, Center of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Miroslava Karafiátová
- Institute of Experimental Botany, Center of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Jana Čížková
- Institute of Experimental Botany, Center of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Jaroslav Doležel
- Institute of Experimental Botany, Center of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| |
Collapse
|
5
|
Wang M, Yue H, Feng K, Deng P, Song W, Nie X. Genome-wide identification, phylogeny and expressional profiles of mitogen activated protein kinase kinase kinase (MAPKKK) gene family in bread wheat (Triticum aestivum L.). BMC Genomics 2016; 17:668. [PMID: 27549916 PMCID: PMC4994377 DOI: 10.1186/s12864-016-2993-7] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Accepted: 08/03/2016] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Mitogen-activated protein kinase kinase kinases (MAPKKKs) are the important components of MAPK cascades, which play the crucial role in plant growth and development as well as in response to diverse stresses. Although this family has been systematically studied in many plant species, little is known about MAPKKK genes in wheat (Triticum aestivum L.), especially those involved in the regulatory network of stress processes. RESULTS In this study, we identified 155 wheat MAPKKK genes through a genome-wide search method based on the latest available wheat genome information, of which 29 belonged to MEKK, 11 to ZIK and 115 to Raf subfamily, respectively. Then, chromosome localization, gene structure and conserved protein motifs and phylogenetic relationship as well as regulatory network of these TaMAPKKKs were systematically investigated and results supported the prediction. Furthermore, a total of 11 homologous groups between A, B and D sub-genome and 24 duplication pairs among them were detected, which contributed to the expansion of wheat MAPKKK gene family. Finally, the expression profiles of these MAPKKKs during development and under different abiotic stresses were investigated using the RNA-seq data. Additionally, 10 tissue-specific and 4 salt-responsive TaMAPKKK genes were selected to validate their expression level through qRT-PCR analysis. CONCLUSIONS This study for the first time reported the genome organization, evolutionary features and expression profiles of the wheat MAPKKK gene family, which laid the foundation for further functional analysis of wheat MAPKKK genes, and contributed to better understanding the roles and regulatory mechanism of MAPKKKs in wheat.
Collapse
Affiliation(s)
- Meng Wang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, 3 Taicheng Road, Yangling, 712100 Shaanxi China
| | - Hong Yue
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, 3 Taicheng Road, Yangling, 712100 Shaanxi China
| | - Kewei Feng
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, 3 Taicheng Road, Yangling, 712100 Shaanxi China
| | - Pingchuan Deng
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, 3 Taicheng Road, Yangling, 712100 Shaanxi China
| | - Weining Song
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, 3 Taicheng Road, Yangling, 712100 Shaanxi China
- Australia-China Joint Research Centre for Abiotic and Biotic Stress Management in Agriculture, Horticulture and Forestry, Yangling, 712100 Shaanxi China
| | - Xiaojun Nie
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, 3 Taicheng Road, Yangling, 712100 Shaanxi China
| |
Collapse
|
6
|
Hashmi U, Shafqat S, Khan F, Majid M, Hussain H, Kazi AG, John R, Ahmad P. Plant exomics: concepts, applications and methodologies in crop improvement. PLANT SIGNALING & BEHAVIOR 2015; 10:e976152. [PMID: 25482786 PMCID: PMC4622497 DOI: 10.4161/15592324.2014.976152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2014] [Revised: 08/17/2014] [Accepted: 08/18/2014] [Indexed: 05/17/2023]
Abstract
Molecular breeding has a crucial role in improvement of crops. Conventional breeding techniques have failed to ameliorate food production. Next generation sequencing has established new concepts of molecular breeding. Exome sequencing has proven to be a significant tool for assessing natural evolution in plants, studying host pathogen interactions and betterment of crop production as exons assist in interpretation of allelic variation with respect to their phenotype. This review covers the platforms for exome sequencing, next generation sequencing technologies that have revolutionized exome sequencing and led toward development of third generation sequencing. Also discussed in this review are the uses of these sequencing technologies to improve wheat, rice and cotton yield and how these technologies are used in exploring the biodiversity of crops, providing better understanding of plant-host pathogen interaction and assessing the process of natural evolution in crops and it also covers how exome sequencing identifies the gene pool involved in symbiotic and other co-existential systems. Furthermore, we conclude how integration of other methodologies including whole genome sequencing, proteomics, transcriptomics and metabolomics with plant exomics covers the areas which are left untouched with exomics alone and in the end how these integration will transform the future of crops.
Collapse
Key Words
- BAC, bacterial artificial chromosome
- BGR, bacterial grain rot
- CBOL, consortium for 860 the barcode of life
- ETI, effector-triggered immunity
- HPRT, hypoxanthineguanine phosphoribosyl transferase
- MMs, molecular markers
- NGS, next generation sequencing
- NITSR, nuclear internal transcribed spacer region
- OPC, open promoter complex
- QTL, quantitative trait locus
- SMRT, single molecule real time
- SNPs, single nucleotide poly-morphisms
- SOLiD, sequencing by oligonucleotide ligation and detection
- WES, whole exome sequencing
- WGS, whole genome sequencing
- WGS, whole genome shotgun
- biodiversity
- crop improvement
- dNMPs, deoxyribosenucleoside monophosphates
- exome sequencing
- plant biotechnology
- plant-host pathogen interactions
Collapse
Affiliation(s)
- Uzair Hashmi
- Atta ur Rahman School of Applied Biosciences; National University of Sciences and Technology; Islamabad, Pakistan
| | - Samia Shafqat
- Atta ur Rahman School of Applied Biosciences; National University of Sciences and Technology; Islamabad, Pakistan
| | - Faria Khan
- Atta ur Rahman School of Applied Biosciences; National University of Sciences and Technology; Islamabad, Pakistan
| | - Misbah Majid
- Atta ur Rahman School of Applied Biosciences; National University of Sciences and Technology; Islamabad, Pakistan
| | - Harris Hussain
- Atta ur Rahman School of Applied Biosciences; National University of Sciences and Technology; Islamabad, Pakistan
| | - Alvina Gul Kazi
- Atta ur Rahman School of Applied Biosciences; National University of Sciences and Technology; Islamabad, Pakistan
| | - Riffat John
- Department of Botany; University of Kashmir; Jammu and Kashmir, India
| | - Parvaiz Ahmad
- Department of Botany; S.P. College Srinagar; Jammu and Kashmir, India
- Correspondence to: Parvaiz Ahmad;
| |
Collapse
|
7
|
Ruperao P, Edwards D. Bioinformatics: identification of markers from next-generation sequence data. Methods Mol Biol 2015; 1245:29-47. [PMID: 25373747 DOI: 10.1007/978-1-4939-1966-6_3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
With the advent of sequencing technology, next-generation sequencing (NGS) technology has dramatically revolutionized plant genomics. NGS technology combined with new software tools enables the discovery, validation, and assessment of genetic markers on a large scale. Among different markers systems, simple sequence repeats (SSRs) and Single nucleotide polymorphisms (SNPs) are the markers of choice for genetics and plant breeding. SSR markers have been a choice for large-scale characterization of germplasm collections, construction of genetic maps, and QTL identification. Similarly, SNPs are the most abundant genetic variations with higher frequencies throughout the genome of plant species. This chapter discusses various tools available for genome assembly and widely focuses on SSR and SNP marker discovery.
Collapse
Affiliation(s)
- Pradeep Ruperao
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, QLD, Australia
| | | |
Collapse
|
8
|
Abstract
The detection and analysis of genetic variation plays an important role in plant breeding and this role is increasing with the continued development of genome sequencing technologies. Molecular genetic markers are important tools to characterize genetic variation and assist with genomic breeding. Processing and storing the growing abundance of molecular marker data being produced requires the development of specific bioinformatics tools and advanced databases. Molecular marker databases range from species specific through to organism wide and often host a variety of additional related genetic, genomic, or phenotypic information. In this chapter, we will present some of the features of plant molecular genetic marker databases, highlight the various types of marker resources, and predict the potential future direction of crop marker databases.
Collapse
|
9
|
Smolina I, Kollias S, Poortvliet M, Nielsen TG, Lindeque P, Castellani C, Møller EF, Blanco-Bercial L, Hoarau G. Genome- and transcriptome-assisted development of nuclear insertion/deletion markers for Calanus species (Copepoda: Calanoida) identification. Mol Ecol Resour 2014; 14:1072-9. [PMID: 24612683 DOI: 10.1111/1755-0998.12241] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2013] [Revised: 02/17/2014] [Accepted: 02/19/2014] [Indexed: 11/30/2022]
Abstract
Copepods of the genus Calanus are key zooplankton species in temperate to arctic marine ecosystems. Despite their ecological importance, species identification remains challenging. Furthermore, the recent report of hybrids among Calanus species highlights the need for diagnostic nuclear markers to efficiently identify parental species and hybrids. Using next-generation sequencing analysis of both the genome and transcriptome from two sibling species, Calanus finmarchicus and Calanus glacialis, we developed a panel of 12 nuclear insertion/deletion markers. All the markers showed species-specific amplicon length. Furthermore, most of the markers were successfully amplified in other Calanus species, allowing the molecular identification of Calanus helgolandicus, Calanus hyperboreus and Calanus marshallae.
Collapse
Affiliation(s)
- I Smolina
- Faculty of Biosciences and Aquaculture, University of Nordland, 8049, Bodø, Norway
| | | | | | | | | | | | | | | | | |
Collapse
|
10
|
Doležel J, Vrána J, Cápal P, Kubaláková M, Burešová V, Šimková H. Advances in plant chromosome genomics. Biotechnol Adv 2014; 32:122-36. [DOI: 10.1016/j.biotechadv.2013.12.011] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2013] [Revised: 12/20/2013] [Accepted: 12/21/2013] [Indexed: 01/09/2023]
|
11
|
Next generation characterisation of cereal genomes for marker discovery. BIOLOGY 2013; 2:1357-77. [PMID: 24833229 PMCID: PMC4009793 DOI: 10.3390/biology2041357] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2013] [Revised: 10/29/2013] [Accepted: 11/08/2013] [Indexed: 12/30/2022]
Abstract
Cereal crops form the bulk of the world’s food sources, and thus their importance cannot be understated. Crop breeding programs increasingly rely on high-resolution molecular genetic markers to accelerate the breeding process. The development of these markers is hampered by the complexity of some of the major cereal crop genomes, as well as the time and cost required. In this review, we address current and future methods available for the characterisation of cereal genomes, with an emphasis on faster and more cost effective approaches for genome sequencing and the development of markers for trait association and marker assisted selection (MAS) in crop breeding programs.
Collapse
|
12
|
Duran C, Singhania R, Raman H, Batley J, Edwards D. Predicting polymorphic EST-SSRs in silico. Mol Ecol Resour 2013; 13:538-45. [PMID: 23398650 DOI: 10.1111/1755-0998.12078] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2012] [Revised: 12/16/2012] [Accepted: 12/22/2012] [Indexed: 11/26/2022]
Abstract
The public availability of large quantities of gene sequence data provides a valuable resource of the mining of Simple Sequence Repeat (SSR) molecular genetic markers for genetic analysis. These markers are inexpensive, require minimal labour to produce and can frequently be associated with functionally annotated genes. This study presents the characterization of barley EST-SSRs and the identification of putative polymorphic SSRs from EST data. Polymorphic SSRs are distinguished from monomorphic SSRs by the representation of varying motif lengths within an alignment of sequence reads. Two measures of confidence are calculated, redundancy of a polymorphism and co-segregation with accessions. The utility of this method is demonstrated through the discovery of 597 candidate polymorphic SSRs, from a total of 452 642 consensus expressed sequences. PCR amplification primers were designed for the identified SSRs. Ten primer pairs were validated for polymorphism in barley and for transferability across species. Analysis of the polymorphisms in relation to SSR motif, length, position and annotation is discussed.
Collapse
Affiliation(s)
- Chris Duran
- Melbourne eResearch Group, University of Melbourne, Parkville, Vic, 3010, Australia
| | | | | | | | | |
Collapse
|
13
|
Edwards D, Batley J, Snowdon RJ. Accessing complex crop genomes with next-generation sequencing. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2013; 126:1-11. [PMID: 22948437 DOI: 10.1007/s00122-012-1964-x] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2012] [Accepted: 08/08/2012] [Indexed: 05/02/2023]
Abstract
Many important crop species have genomes originating from ancestral or recent polyploidisation events. Multiple homoeologous gene copies, chromosomal rearrangements and amplification of repetitive DNA within large and complex crop genomes can considerably complicate genome analysis and gene discovery by conventional, forward genetics approaches. On the other hand, ongoing technological advances in molecular genetics and genomics today offer unprecedented opportunities to analyse and access even more recalcitrant genomes. In this review, we describe next-generation sequencing and data analysis techniques that vastly improve our ability to dissect and mine genomes for causal genes underlying key traits and allelic variation of interest to breeders. We focus primarily on wheat and oilseed rape, two leading examples of major polyploid crop genomes whose size or complexity present different, significant challenges. In both cases, the latest DNA sequencing technologies, applied using quite different approaches, have enabled considerable progress towards unravelling the respective genomes. Our ability to discover the extent and distribution of genetic diversity in crop gene pools, and its relationship to yield and quality-related traits, is swiftly gathering momentum as DNA sequencing and the bioinformatic tools to deal with growing quantities of genomic data continue to develop. In the coming decade, genomic and transcriptomic sequencing, discovery and high-throughput screening of single nucleotide polymorphisms, presence-absence variations and other structural chromosomal variants in diverse germplasm collections will give detailed insight into the origins, domestication and available trait-relevant variation of polyploid crops, in the process facilitating novel approaches and possibilities for genomics-assisted breeding.
Collapse
Affiliation(s)
- David Edwards
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, Brisbane, QLD 4072, Australia
| | | | | |
Collapse
|