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Introduction to the range of molecular techniques to investigate unique facets of plant growth, development, and responses to the environment
Plant Genomics introduces the complex relationship between the genome, microbiome, genes, and epigenetics of plants, as well as the range of molecular techniques applicable to investigating the unique facets of plant growth, development, and response to the environment. State-of-the-art science in the field is discussed, as well as future outlooks on what the next decade is likely to bring.
This book includes new techniques for modifying the plant genome and their impact on modifying plants to combat the impact of biotic and abiotic stresses, including those associated with climate change, new technologies including long and short read sequencing and proximity ligation and the combination of these technologies for assembling sequence data into chromosomes, a new chapter on the sequences of the chloroplast and mitochondrial genomes, and a dedicated chapter to epigenetics and the importance in gene regulation.
Written by a highly qualified author with significant published research contributions to the field, Plant Genomics includes information on:
Plant Genomics is an ideal textbook for undergraduate courses on plant biology, particularly those focusing on molecular descriptions, and a helpful auxiliary text to plant biology laboratory courses. It will also be of interest to students in plant molecular biology, agricultural and food sciences, and plant, food, and crop bioengineering.
Christopher A. Cullis is the Francis Hobart Herrick Professor of Biology at Case Western Reserve University, an AAAS Fellow, and a Life Fellow of the Ohio Academy of Sciences. In addition to directing an MS in Biotechnology Entrepreneurship program from 2002 to 2023, he was instrumental in setting up the Society for International Bioenterprise Education and Research (SIBER) and incorporating it as a 503C3. He has published on the genomics of more than 20 plant species.
About the Author xiii
Preface xv
Acknowledgments xvii
About the Companion Website xix
Introduction xxi
1 The Structure of Plant Genomes 1
Introduction 1
DNA Variation- Quantity 1
Chromosome Variation 4
Chromosome Structures 7
Telomeres 7
Centromeres 8
The Nucleolus Organizer Region 9
Heterochromatin 9
Origin of DNA Variation 10
Organization and Representation of the Various Classes of Sequences 10
Low- Copy Sequences 11
Dispersed Repetitive Sequences 12
Tandemly Repeated Sequences 15
Summary of the Organization of the Maize Genome 17
Processes that Affect Genome Size 17
Consequences of Multiple Genomes 20
Pangenome Concept 23
Extrachromosomal Circular DNA 25
Intraspecific Genome Size Variation 25
Summary 26
References 27
2 Basic Toolbox 31
The Fundamental Basis of Most Genomic Technologies 31
Genome Fractionation 32
Sequencing Genomes 33
Next- Generation Sequencing (NGS) Technologies 34
Third- Generation Sequencing (Long- Read Sequencing) - Single- Molecule Sequencing 36
Two of the Third- Generation Sequencing Technologies 36
Simultaneous Identification of Sequence and Methylation- Epigenetics 38
Alternative Methylation Profiling 38
Oxford Nanopore Technologies 39
Assembling Telomere- to- Telomere Genome Assemblies 39
Proximity- Based Ligation 39
Optical Mapping 40
Summary of Genomic Sequencing 40
The Transcriptome 40
RNA Library Preparation 42
Single- Cell Sequencing 43
Whole Transcriptome Sequencing (Total RNA- seq) 43
Poly(A) Selection RNA- seq 43
Ribosome Profiling (Ribo- seq) 43
Strand- Specific RNA- seq 44
Small RNA- seq 44
Spatial Transcriptomics 44
Pseudouridine (¿) Sequencing 44
Quantitative PCR 44
Digital Droplet PCR (ddPCR) 45
Microarrays 45
Proteomics 46
Extraction of the Proteome 47
Protein Separation 48
References 51
3 Sequencing and Assembly Strategies for Large Complex Genomes 53
Assembling Genomes in the Cloning and Sanger Sequencing Era 54
Steps for Genome Assembly from High- Throughput DNA Sequence Data 54
Integration of Short Reads from Shotgun Sequencing 56
Third- Generation Sequencing Technologies 56
Hybrid Assemblies 56
Stitching Scaffolds Together 56
Advanced Bioinformatics Tools 57
A Genome Assembly for a Polyploid Plant of Genome Size ~1 Gb as a Tetraploid with a Total Chromosome Count of 44 Using PacBio HiFi Reads 58
DNA Isolation 58
Data Assembly and Analysis 58
Estimation of Genome Size and Heterozygosity 59
De Novo Genome Assembly and Evaluation 59
Comparison of the Genome Assemblies with a Close Relative 59
Telomere- to- Telomere Assembly 67
RNA Assembly 67
Summary 73
References 73
4 The Organelle Genomes 75
Chloroplasts 75
Chloroplast Genome Size and Structure 76
Sequencing the Chloroplast Genome 76
Chloroplast Genes 76
Variation in the Chloroplast Genomes Within and Between Species 76
Use in Phylogenetics 84
Mitochondrial Genome Size and Structure 84
Variation in the Mitogenome 86
Transfer of DNA Between the Nucleus Chloroplast and Mitochondrion 88
Heteroplasmy 90
Anterograde and Retrograde Signaling 92
Retrograde Signaling and RNA Metabolism in Plants 94
References 96
5 Gene Discovery Paradigms 99
Introduction 99
Genome Annotation 101
Identification of Genes by Mutagenesis 107
Insertional Mutagenesis with T- DNA 109
Targeting- Induced Local Lesions in Genomes (Tilling) 110
Gene Editing 111
Summary 112
References 112
6 Control of Gene Expression 115
Introduction 115
Specific Promoter Sequences Are Required for Regulated Gene Expression 117
The Effect of Enhancer Elements on Gene Expression 119
Posttranscriptional Effects of mRNA Signals 120
Role of 5' Sequences in Gene Expression 122
Role of 3' Sequences in Gene Expression 122
Role of Introns in Gene Expression 122
Conserved Sequences in Eukaryotic Promoters 124 Trans- Acting Factors Control Gene Expression 125
mRNA Stability 125
Chemically/Physically Regulated Gene Expression in Plants 127
Effects of Chromatin Structure 128
Translational Control 133
Summary 137
References 140
Contents ix
7 Epigenetics 145
Introduction 145
DNA Methylation 147
Histone Modifications 148
Epigenetic Silencing of Transposable Elements 149
Unstable Inheritance of Epialleles 150
Summary 151
References 153
8 Functional Genomics 155
Introduction 155
Transcriptome Profile 157
Protein- Protein Interactions 157
Yeast Two- Hybrid Systems 158
Protein Tags and Transgenics 158
Metabolomics 161
Single- Cell - Omics 163
Conclusions 164
References 164
9 The Microbiome 167
Introduction 167
The Rhizosphere 168
Bacterial Communities 169
What Influences the Composition of the Bacterial Microbiome in the Rhizosphere? 170
Phyllosphere 170
Endosphere 174
Plant Growth- Promoting Rhizobacteria 175
Rhizobia and Mycorrhizae 176
Importance and Use of the Microbiome 179
References 182
10 Interactions with the External Environment 185
Introduction 185
Abiotic Stresses 186
Biotic Interactions 190
Disease Resistance 191
Pest Resistance 198
Biotechnological Opportunities 198
References 199
11 Complex Character Manipulation- Plant Breeding 201
Introduction 201
Conventional Breeding Methods 202
Marker- Assisted Selection 204
Quantitative Trait Loci 208
Genomic Selection 214
High- Throughput Phenotyping 215
Speed Breeding 215
Pangenomics as a Source of Useful Alleles 215
Concluding Integration 218
References 220
12 Genetic Manipulation of the Plant Genome 223
Introduction 223
Agrobacterium-Mediated Plant Transformation: Biology and Applications 225
Bypassing the Bottleneck of Tissue Culture 228
Transformation Through Direct Delivery of DNA 228
Biolistic Transformation 228
Electroporation 229
Nanotechnology Strategies 229
Carbon Nanotubes 229
Magnetofection 229
DNA Origami 232
Gene Editing 233
Summary and Outlook 235
References 237
Contents xi
13 Bioethical Concerns and the Future of Plant Genomics 239
Development of Biotechnologically Modified Plants 240
The Global Landscape for Regulation of GM Plants 241
The Regulatory Environment in the United States 247
European Union (EU) Responses to Genetically Modified (GM) Plants 248
Case Studies 250
BT Brinjal 250
Golden Rice 251
References 253
Index 255
What is the primary problem that plants face? They are not triffids (Wyndham, 1951); that is, they cannot move their place of residence if it becomes less than ideal, except through seed dispersal. In addition to being unable to move, plants can be extremely long-lived, and they are generally autotrophic so need only minerals, light, water, and air to grow. Thus, the genome must encode the enzymes that support the whole range of necessary metabolic processes, including photosynthesis, respiration, intermediary metabolism, mineral acquisition, and the synthesis of fatty acids, lipids, amino acids, nucleotides, and cofactors, many of which, in contrast, animals acquire through their diet. Although genomics studies, which take a global view of genomic information and how it is used to define the form and function of an organism, have a common thread that can be applied to almost any system, the diversity of plants means that, here, a single model cannot suffice. Plant genomics builds on centuries of observations and experiments designed to describe and understand many plant processes, which provides the basis for applying genomics and proteomics techniques to understand how plants grow and develop. However, the use of the suite of "-omics" methods must be considered experimental approaches with important limitations and challenges. These methods must be used in conjunction with other complementary techniques, such as microscopy, genetics, biochemistry, physiology, and cell biology, in order to acquire a more complete knowledge of plant biology. Much of the experimental detail and observations in plant biology have been made in very diverse plant material by using the plant that was most convenient in which to study the phenomena, rather than all the information being available in a convenient single model organism. Thus, algae may be appropriate models for photosynthesis and provide useful pointers as to which genes are involved but, conversely, cannot be useful for understanding, for example, how stresses in the roots might affect the same photosynthetic processes in a plant growing under drought or saline conditions. These historical experimental observations that span very diverse plant material are being recreated into model organisms with the application of the -omics techniques, as can be seen with the enormous data compilations from plants such as Arabidopsis as a model organism and rice, maize, and wheat as major agricultural crops. However, the availability of sequence information for a reasonable cost now means that the DNA sequence data is no longer restricted to these well-supported systems, even if the transcriptomic and proteomic data will be more difficult to obtain. Overall, the genomics approaches to plant biology will enhance knowledge of gene structure, function, and variability in plants. There are also areas in which work in plant biology has made unique contributions to genetics and genomics, from the description of transposable elements to ribonucleic acid (RNA) interference. The identification that small RNAs that are ubiquitous and can affect an enormously broad range of biological processes stems from work in plants. The linking of small interfering RNAs and DNA methylation on a whole-genome scale was made through plant genomics, although, as with many such discoveries, its wide importance has only been recognized following its application to human cells. Applying the -omics knowledge will lead to new methods of improving crop productivity, which is necessary for developing climate-resilient crops to meet the challenges of sustaining our food supply.
Deciphering entire plant genomes has become a reality with the advancements in high-throughput sequencing technologies. However, higher plants are a group of organisms with great variation in genome size, spanning more than 1500-fold variation. Because of this variation, there is not a single example that can be considered as the typical plant nuclear genome. However, the general organizational principle of the interspersion of low-copy number sequences with repetitive elements generally holds. Genome size does not necessarily correlate with the perceived complexity of a species. Some of the most intricate and morphologically complex plant species have relatively modest genome sizes, while seemingly simpler plants may contain surprisingly large genomic landscapes. Therefore, a typical plant genome is difficult to define because the contribution of additional DNA may have phenotypic effects independent of the actual sequence present. The adaptive advantages and constraints imposed by genome size can also be viewed through examples of polyploidization events that have frequently occurred during plant evolution. These genome duplications are followed by a restructuring of the resulting polyploid genome, which provides illustrations of the dynamic nature of plant genomes in response to their ecological niches. The gene duplications that result add a complication for both genome assembly and genetics, the extent of which is governed by the divergence of the duplicated segments and whether they can compensate for the inactivation of one in the case of a tetraploid.
The mosaic of genetic variation within plant genomes extends from the extensive rearrangements of structural variations to the potentially silent variations of single nucleotide polymorphisms (SNPs) that do not change the protein sequence encoded, giving a kaleidoscope of the role genetic diversity plays in shaping the robustness of plant populations. However, it is important when considering two sequences that encode the same polypeptide not to equate apparent identity of the final product with identity of the functionality of the two encoding sequences. This became readily apparent in the experiments with expression of foreign genes in the first transgenic plants, where the selection of codon usage was a vital factor in obtaining high expression of the introduced transgene.
The technologies for sequencing and assembling plant genomes have progressed from obtaining a few hundred bases from a cloned fragment to high-throughput sequencing by synthesis, with the length of each sequencing read increasing from tens of bases to many kilobases per read. With proximity ligation and optical mapping, the longer sequence reads can now result in the completion of telomere-to-telomere assemblies of plant genomes. Sequencing platforms and bioinformatics tools applied to plant genomes provide insights into the details of sequencing projects, from DNA isolation to, under optimal circumstances, telomere-to-telomere assemblies of any plant sample. The accuracy of sequencing platforms is increasing, and the costs of all the stages of a genome project are reducing so that a whole-genome assembly of any plant is now within reach. Where the initial aim of a genome sequencing project used to be the development of a reference genome against which all other examples would be compared, now it is possible to provide assembled genomes of the genotypes of interest, so important regions that are not present in the initial exemplar of the species are not overlooked.
Thus, the challenges of obtaining and assembling the data from the large range of nuclear DNA contents (genome sizes) that occur in the plant kingdom, even between closely related species, have steadily been overcome with the different sequencing techniques and bioinformatic assembly programs. The upshot of all this data is the concept of the pangenome, the sum of all the sequences that are present in all the members of a species, which is far greater than that found in any individual. This pangenome within a crop species, or extended to its wild relatives, is vital as it may contain the genetic information needed to provide the crops with appropriate resilience to the effects of global climate change.
Sequencing technologies also provide information about the modifications of the DNA sequence, such as the methylation of the cytosine and adenine residues, termed the epigenome. These epigenetic marks are important for the control of gene expression and possible transgenerational inheritance of stress adaptation. Thus, both the genome and the epigenome are important players in the overall control of plant form, function, and resilience.
The assembly of a plant genome is only the first step in understanding the translation of the genomic information into the plant phenotype. The transcriptome is the part of the genome that is transcribed into RNA. This compartment of knowledge is more difficult to ascertain since, unlike the genome, which is essentially constant throughout all cells in the plant, the transcriptome is cell- and environment-dependent. Here, model systems that were most amenable for study have provided the basis for understanding many complex developmental processes. An example would be the Zinnia tracheids, which are especially valuable in elucidating the cellular events that govern wood formation since Zinnia mesophyll cells can be synchronously induced to form these tracheary elements in vitro. This synchrony permits the establishment and chronology of the molecular and biochemical events associated with the differentiation of the cells to a specific fate and the identification of the genes involved in the differentiation of xylem. The study of Zinnia tracheids has provided a wealth of knowledge about the intricacies of wood formation, offering a model system for investigating cellular differentiation, programmed cell death, lignification, environmental responses, and genetic regulation, with the insights gained...
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