This book provides insights into the latest achievements in genomics research on Brassica rapa. It describes the findings on this Brassica species, the first of the U’s triangle that has been sequenced and a close relative to the model plant Arabidopsis, which provide a basis for investigations of major Brassica crop species. Further, the book focuses on the development of tools to facilitate the transfer of our rich knowledge on Arabidopsis to a cultivated Brassica crop. Key topics covered include genomic resources, assembly tools, annotation of the genome, transposable elements, comparative genomics, evolution of Brassica genomes, and advances in the application of genomics in the breeding of Brassica rapa crops.

The Genetics and Genomics of the Brassicaceae provides a review of this important family (commonly termed the mustard family, or Cruciferae). The family contains several cultivated species, including radish, rocket, watercress, wasabi and horseradish, in addition to the vegetable and oil crops of the Brassica genus. There are numerous further species with great potential for exploitation in 21st century agriculture, particularly as sources of bioactive chemicals. These opportunities are reviewed, in the context of the Brassicaceae in agriculture. More detailed descriptions are provided of the genetics of the cultivated Brassica crops, including both the species producing most of the brassica vegetable crops (B. rapa and B. oleracea) and the principal species producing oilseed crops (B. napus and B. juncea). The Brassicaceae also include important “model” plant species. Most prominent is Arabidopsis thaliana, the first plant species to have its genome sequenced. Natural genetic variation is reviewed for A. thaliana, as are the genetics of the closely related A. lyrata and of the genus Capsella. Self incompatibility is widespread in the Brassicaceae, and this subject is reviewed. Interest arising from both the commercial value of crop species of the Brassicaceae and the importance of Arabidopsis thaliana as a model species, has led to the development of numerous resources to support research. These are reviewed, including germplasm and genomic library resources, and resources for reverse genetics, metabolomics, bioinformatics and transformation. Molecular studies of the genomes of species of the Brassicaceae revealed extensive genome duplication, indicative of multiple polyploidy events during evolution. In some species, such as Brassica napus, there is evidence of multiple rounds of polyploidy during its relatively recent evolution, thus the Brassicaceae represent an excellent model system for the study of the impacts of polyploidy and the subsequent process of diploidisation, whereby the genome stabilises. Sequence-level characterization of the genomes of Arabidopsis thaliana and Brassica rapa are presented, along with summaries of comparative studies conducted at both linkage map and sequence level, and analysis of the structural and functional evolution of resynthesised polyploids, along with a description of the phylogeny and karyotype evolution of the Brassicaceae. Finally, some perspectives of the editors are presented. These focus upon the Brassicaceae species as models for studying genome evolution following polyploidy, the impact of advances in genome sequencing technology, prospects for future transcriptome analysis and upcoming model systems.

This book provides insights into the latest achievements in genomics research on Brassica rapa. It describes the findings on this Brassica species, the first of the U's triangle that has been sequenced and a close relative to the model plant Arabidopsis, which provide a basis for investigations of major Brassica crop species. Further, the book focuses on the development of tools to facilitate the transfer of our rich knowledge on Arabidopsis to a cultivated Brassica crop. Key topics covered include genomic resources, assembly tools, annotation of the genome, transposable elements, comparative genomics, evolution of Brassica genomes, and advances in the application of genomics in the breeding of Brassica rapa crops.

This book describes how the genome sequence contributes to our understanding of allopolyploidisation and the genome evolution, genetic diversity, complex trait regulation and knowledge-based breeding of this important crop. Numerous examples demonstrate how widespread homoeologous genome rearrangements and exchanges have moulded structural genome diversity following a severe polyploidy bottleneck. The allopolyploid crop species Brassica napus has the most highly duplicated plant genome to be assembled to date, with the largest number of annotated genes. Examples are provided for use of the genome sequence to identify and capture diversity for important agronomic traits, including seed quality and disease resistance. The increased potential for detailed gene discovery using high-density genetic mapping, quantitative genetics and transcriptomic analyses is described in the context of genome availability and illustrated with recent examples. Intimate knowledge of the highly-duplicated gene space, on the one hand, and the repeat landscape on the other, particularly in comparison to the two diploid progenitor genomes, provide a fundamental basis for new insights into the regulatory mechanisms that are coupled with selection for polyploid success and crop evolution.

Due to their diversity, vegetable Brassicas are of great economic import and offer unique opportunities to enrich our knowledge about plant growth, development, and rapid phenotypic evolution. By applying emerging genomic technologies, we may greatly increase our understanding of the Brassica biology and breeding efficiency. This volume contains 11

This volume introduces software used for gene prediction with focus on eukaryotic genomes. The chapters in this book describe software and web server usage as applied in common use-cases, and explain ways to simplify re-annotation of long available genome assemblies. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary computational requirements, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Gene Prediction: Methods and Protocols is a valuable resource for researchers and research groups working on the assembly and annotation of single species or small groups of species. Chapter 3 is available open access under a CC BY 4.0 license via link.springer.com.