Flow cytometric chromosome sorting in plants: The next generation

Genome analysis in many plant species is hampered by large genome size and by sequence redundancy due to the presence of repetitive DNA and polyploidy. One solution is to reduce the sample complexity by dissecting the genomes to single chromosomes. This can be realized by flow cytometric sorting, which enables purification of chromosomes in large numbers. Coupling the chromosome sorting technology with next generation sequencing provides a targeted and cost effective way to tackle complex genomes. The methods outlined in this article describe a procedure for preparation of chromosomal DNA suitable for next-generation sequencing.     

FISHIS: Fluorescence In Situ Hybridization in Suspension and Chromosome Flow Sorting Made Easy

The large size and complex polyploid nature of many genomes has often hampered genomics development, as is the case for several plants of high agronomic value. Isolating single chromosomes or chromosome arms via flow sorting offers a clue to resolve such complexity by focusing sequencing to a discrete and self-consistent part of the whole genome. The occurrence of sufficient differences in the size and or base-pair composition of the individual chromosomes, which is uncommon in plants, is critical for the success of flow sorting. We overcome this limitation by developing a robust method for labeling isolated chromosomes, named Fluorescent In situ Hybridization In suspension (FISHIS). FISHIS employs fluorescently labeled synthetic repetitive DNA probes, which are hybridized, in a wash-less procedure, to chromosomes in suspension following DNA alkaline denaturation. All typical A, B and D genomes of wheat, as well as individual chromosomes from pasta (T. durum L.) and bread (T. aestivum L.) wheat, were flow-sorted, after FISHIS, at high purity. For the first time in eukaryotes, each individual chromosome of a diploid organism, Dasypyrum villosum (L.) Candargy, was flow-sorted regardless of its size or base-pair related content. FISHIS-based chromosome sorting is a powerful and innovative flow cytogenetic tool which can develop new genomic resources from each plant species, where microsatellite DNA probes are available and high quality chromosome suspensions could be produced. The joining of FISHIS labeling and flow sorting with the Next Generation Sequencing methodology will enforce genomics for more species, and by this mightier chromosome approach it will be possible to increase our knowledge about structure, evolution and function of plant genome to be used for crop improvement. It is also anticipated that this technique could contribute to analyze and sort animal chromosomes with peculiar cytogenetic abnormalities, such as copy number variations or cytogenetic aberrations.     

Introduction to plant genomics]

The success in complete sequencing of "small" genomes and development of new technologies which sharply accelerate processes of cloning and sequencing made real an intensive development of plant genomics and complete sequencing of DNA of some species. It is assumed that the success in plant genomics will result in revolutionary changes in biotechnology and plant breeding. However, the enormous size of genomes (tens of billions bp), their extraordinary enrichment in repetitive sequences, and allopolyploidy (the presence in a nucleus of several related but not identical genomes) force us to think that only few "basic" will undergo complete sequencing, whereas the genome investigations in other species will follow principles of comparative genomics. By the present time, complete sequencing of the Arabidopsis genome (125 Mbp) is completed and that of the rice genome (about 430 Mbp) is close to its end. Studying other plant genomes, including those economically valuable, already began on the basis of these investigations. Peculiarities of plant genomes make extraordinarily important the knowledge on plant chromosomes which, in its turn, requires expansion of investigations in this direction and development of new chromosome technologies, including the DNA-sparing methods of high-resolution banding.     

三维基因组学研究进展

三维基因组学是一门研究基因组三维空间结构与功能的新兴学科,主要研究基因组序列在细胞核内的三维空间构象,及其对DNA复制、DNA重组、基因表达调控等生物过程的生物学效应。自染色质构象捕获技术 (3C)出现后,三维基因组学相关研究领域飞速发展。借助于3C及其衍生技术、Hi-C和ChIA-PET等技术,科学家能对各类物种的三维基因组进行更为深入的研究,从而揭示微生物、植物和动物基因组的空间构象、染色质的相互作用模式、转录调控以及不同生物学性状的形成机制;挖掘与生命活动和疾病相关的关键基因和信号通路;推动农业科学、生命科学和医学等领域的快速发展。文中就三维基因组学研究进展作一综述,主要阐述三维基因组学的概念和研究技术的发展及其在农业科学、生命科学和医学等领域的应用,尤其是肿瘤领域所取得的阶段性研究成果。     

Introduction into Plant Genomics

The success in complete sequencing of small genomes and development of new technologies that markedly speed up the cloning and sequencing processes open the way to intense development of plant genomics and complete sequencing of DNA of some species. It is assumed that success in plant genomics will result in revolutionary changes in biotechnology and plant breeding. However, the enormous size of genomes (tens of billions of base pairs), their extraordinary abundance of repetitive sequences, and allopolyploidy (the presence in a nucleus of several related but not identical genomes) force us to think that only few basic plant species will undergo complete sequencing, whereas genome investigations in other species will follow the principles of comparative genomics. By the present time, sequencing of the Arabidopsis genome (125 Mbp) is completed and that of the rice genome (about 430 Mbp) is close to its end. Studying the genomes of other plants, including economically valuable ones, already began on the basis of these works. The peculiarities of plant genomes make extraordinarily important our detailed knowledge on plant chromosomes which, in its turn, calls for expansion of research in this direction and development of new chromosome technologies, including the DNA-sparing methods of high-resolution banding.     

Exploring the tertiary gene pool of bread wheat: sequence assembly and analysis of chromosome 5Mg of Aegilops geniculata

Next‐generation sequencing (NGS) provides a powerful tool for the discovery of important genes and alleles in crop plants and their wild relatives. Despite great advances in NGS technologies, whole‐genome shotgun sequencing is cost‐prohibitive for species with complex genomes. An attractive option is to reduce genome complexity to a single chromosome prior to sequencing. This work describes a strategy for studying the genomes of distant wild relatives of wheat by isolating single chromosomes from addition or substitution lines, followed by chromosome sorting using flow cytometry and sequencing of chromosomal DNA by NGS technology. We flow‐sorted chromosome 5M^g from a wheat/Aegilops geniculata disomic substitution line [DS5M^g (5D)] and sequenced it using an Illumina HiSeq 2000 system at approximately 50 × coverage. Paired‐end sequences were assembled and used for structural and functional annotation. A total of 4236 genes were annotated on 5M^g, in close agreement with the predicted number of genes on wheat chromosome 5D (4286). Single‐gene FISH indicated no major chromosomal rearrangements between chromosomes 5M^g and 5D. Comparing chromosome 5M^g with model grass genomes identified synteny blocks in Brachypodium distachyon, rice (Oryza sativa), sorghum (Sorghum bicolor) and barley (Hordeum vulgare). Chromosome 5M^g‐specific SNPs and cytogenetic probe‐based resources were developed and validated. Deletion bin‐mapped and ordered 5M^g SNP markers will be useful to track 5M‐specific introgressions and translocations. This study provides a detailed sequence‐based analysis of the composition of a chromosome from a distant wild relative of bread wheat, and opens up opportunities to develop genomic resources for wild germplasm to facilitate crop improvement.     

Chromosomes in the flow to simplify genome analysis

Nuclear genomes of human, animals, and plants are organized into subunits called chromosomes. When isolated into aqueous suspension, mitotic chromosomes can be classified using flow cytometry according to light scatter and fluorescence parameters. Chromosomes of interest can be purified by flow sorting if they can be resolved from other chromosomes in a karyotype. The analysis and sorting are carried out at rates of 10(2)-10(4) chromosomes per second, and for complex genomes such as wheat the flow sorting technology has been ground-breaking in reducing genome complexity for genome sequencing. The high sample rate provides an attractive approach for karyotype analysis (flow karyotyping) and the purification of chromosomes in large numbers. In characterizing the chromosome complement of an organism, the high number that can be studied using flow cytometry allows for a statistically accurate analysis. Chromosome sorting plays a particularly important role in the analysis of nuclear genome structure and the analysis of particular and aberrant chromosomes. Other attractive but not well-explored features include the analysis of chromosomal proteins, chromosome ultrastructure, and high-resolution mapping using FISH. Recent results demonstrate that chromosome flow sorting can be coupled seamlessly with DNA array and next-generation sequencing technologies for high-throughput analyses. The main advantages are targeting the analysis to a genome region of interest and a significant reduction in sample complexity. As flow sorters can also sort single copies of chromosomes, shotgun sequencing DNA amplified from them enables the production of haplotype-resolved genome sequences. This review explains the principles of flow cytometric chromosome analysis and sorting (flow cytogenetics), discusses the major uses of this technology in genome analysis, and outlines future directions.     

Hybridization ddRAD‐sequencing for population genomics of nonmodel plants using highly degraded historical specimen DNA

Species’ responses at the genetic level are key to understanding the long‐term consequences of anthropogenic global change. Herbaria document such responses, and, with contemporary sampling, provide high‐resolution time‐series of plant evolutionary change. Characterizing genetic diversity is straightforward for model species with small genomes and a reference sequence. For nonmodel species—with small or large genomes—diversity is traditionally assessed using restriction‐enzyme‐based sequencing. However, age‐related DNA damage and fragmentation preclude the use of this approach for ancient herbarium DNA. Here, we combine reduced‐representation sequencing and hybridization‐capture to overcome this challenge and efficiently compare contemporary and historical specimens. Specifically, we describe how homemade DNA baits can be produced from reduced‐representation libraries of fresh samples, and used to efficiently enrich historical libraries for the same fraction of the genome to produce compatible sets of sequence data from both types of material. Applying this approach to both Arabidopsis thaliana and the nonmodel plant Cardamine bulbifera, we discovered polymorphisms de novo in an unbiased, reference‐free manner. We show that the recovered genetic variation recapitulates known genetic diversity in A. thaliana, and recovers geographical origin in both species and over time, independent of bait diversity. Hence, our method enables fast, cost‐efficient, large‐scale integration of contemporary and historical specimens for assessment of genome‐wide genetic trends over time, independent of genome size and presence of a reference genome.     

High-Cot sequence analysis of the maize genome

Higher eukaryotic genomes, including those from plants, contain large amounts of repetitive DNA that complicate genome analysis. We have developed a technique based on DNA renaturation which normalizes repetitive DNA, and thereby allows a more efficient outcome for full genome shotgun sequencing. The data indicate that sequencing the unrenatured outcome of a Cot experiment, otherwise known as High-Cot DNA, enriches genic sequences by more than fourfold in maize, from 5% for a random library to more than 20% for a High-Cot library. Using this approach, we predict that gene discovery would be greater than 95% and that the number of sequencing runs required to sequence the full gene space in maize would be at least fourfold lower than that required for full-genome shotgun sequencing.     

T-lex: a program for fast and accurate assessment of transposable element presence using next-generation sequencing data

Transposable elements (TEs) are repetitive DNA sequences that are ubiquitous, extremely abundant and dynamic components of practically all genomes. Much effort has gone into annotation of TE copies in reference genomes. The sequencing cost reduction and the newly available next-generation sequencing (NGS) data from multiple strains within a species offer an unprecedented opportunity to study population genomics of TEs in a range of organisms. Here, we present a computational pipeline (T-lex) that uses NGS data to detect the presence/absence of annotated TE copies. T-lex can use data from a large number of strains and returns estimates of population frequencies of individual TE insertions in a reasonable time. We experimentally validated the accuracy of T-lex detecting presence or absence of 768 previously identified TE copies in two resequenced Drosophila melanogaster strains. Approximately 95% of the TE insertions were detected with 100% sensitivity and 97% specificity. We show that even at low levels of coverage T-lex produces accurate results for TE copies that it can identify reliably but that the rate of 'no data' calls increases as the coverage falls below 15×. T-lex is a broadly applicable and flexible tool that can be used in any genome provided the availability of the reference genome, individual TE copy annotation and NGS data.     

A chromosomal genomics approach to assess and validate the desi and kabuli draft chickpea genome assemblies

With the expansion of next‐generation sequencing technology and advanced bioinformatics, there has been a rapid growth of genome sequencing projects. However, while this technology enables the rapid and cost‐effective assembly of draft genomes, the quality of these assemblies usually falls short of gold standard genome assemblies produced using the more traditional BAC by BAC and Sanger sequencing approaches. Assembly validation is often performed by the physical anchoring of genetically mapped markers, but this is prone to errors and the resolution is usually low, especially towards centromeric regions where recombination is limited. New approaches are required to validate reference genome assemblies. The ability to isolate individual chromosomes combined with next‐generation sequencing permits the validation of genome assemblies at the chromosome level. We demonstrate this approach by the assessment of the recently published chickpea kabuli and desi genomes. While previous genetic analysis suggests that these genomes should be very similar, a comparison of their chromosome sizes and published assemblies highlights significant differences. Our chromosomal genomics analysis highlights short defined regions that appear to have been misassembled in the kabuli genome and identifies large‐scale misassembly in the draft desi genome. The integration of chromosomal genomics tools within genome sequencing projects has the potential to significantly improve the construction and validation of genome assemblies. The approach could be applied both for new genome assemblies as well as published assemblies, and complements currently applied genome assembly strategies.     

Dissection of the nuclear genome of barley by chromosome flow sorting

Isolation of mitotic chromosomes using flow cytometry is an attractive way to dissect nuclear genomes into their individual chromosomal components or portions of them. This approach is especially useful in plants with complex genomes, where it offers a targeted and hence economical approach to genome analysis and gene cloning. In several plant species, DNA of flow-sorted chromosomes has been used for isolation of molecular markers from specific genome regions, for physical mapping using polymerase chain reaction (PCR) and fluorescence in situ hybridization (FISH), for integration of genetic and physical maps and for construction of chromosome-specific DNA libraries, including those cloned in bacterial artificial chromosome vectors. Until now, chromosome analysis and sorting using flow cytometry (flow cytogenetics) has found little application in barley (2n = 14, 1C ∼ 5,100 Mbp) because of the impossibility of discriminating and sorting individual chromosomes, except for the smallest chromosome 1H and some translocation chromosomes with DNA content significantly different from the remaining chromosomes. In this work, we demonstrate that wheat–barley ditelosomic addition lines can be used to sort any arm of barley chromosomes 2H–7H. Thus, the barley genome can be dissected into fractions representing only about 6–12% of the total genome. This advance makes the flow cytogenetics an attractive tool, which may greatly facilitate genome analysis and gene cloning in barley.     

Navigating the tip of the genomic iceberg: Next-generation sequencing for plant systematics

? Premise of the study: Just as Sanger sequencing did more than 20 years ago, next-generation sequencing (NGS) is poised to revolutionize plant systematics. By combining multiplexing approaches with NGS throughput, systematists may no longer need to choose between more taxa or more characters. Here we describe a genome skimming (shallow sequencing) approach for plant systematics. ? Methods: Through simulations, we evaluated optimal sequencing depth and performance of single-end and paired-end short read sequences for assembly of nuclear ribosomal DNA (rDNA) and plastomes and addressed the effect of divergence on reference-guided plastome assembly. We also used simulations to identify potential phylogenetic markers from low-copy nuclear loci at different sequencing depths. We demonstrated the utility of genome skimming through phylogenetic analysis of the Sonoran Desert clade (SDC) of Asclepias (Apocynaceae). ? Key results: Paired-end reads performed better than single-end reads. Minimum sequencing depths for high quality rDNA and plastome assemblies were 40× and 30×, respectively. Divergence from the reference significantly affected plastome assembly, but relatively similar references are available for most seed plants. Deeper rDNA sequencing is necessary to characterize intragenomic polymorphism. The low-copy fraction of the nuclear genome was readily surveyed, even at low sequencing depths. Nearly 160000 bp of sequence from three organelles provided evidence of phylogenetic incongruence in the SDC. ? Conclusions: Adoption of NGS will facilitate progress in plant systematics, as whole plastome and rDNA cistrons, partial mitochondrial genomes, and low-copy nuclear markers can now be efficiently obtained for molecular phylogenetics studies.     

Capturing single-copy nuclear genes,organellar genomes,and nuclear ribosomal DNA from deep genome skimming data for plant phylogenetics: A case study in Vitaceae

With the decreasing cost and availability of many newly developed bioinformatics pipelines, next-generation sequencing (NGS) has revolutionized plant systematics in recent years. Genome skimming has been widely used to obtain high-copy fractions of the genomes, including plastomes, mitochondrial DNA (mtDNA), and nuclear ribosomal DNA (nrDNA). In this study, through simulations, we evaluated the optimal (minimum) sequencing depth and performance for recovering single-copy nuclear genes (SCNs) from genome skimming data, by subsampling genome resequencing data and generating 10 data sets with different sequencing coverage in silico. We tested the performance of four data sets (plastome, nrDNA, mtDNA, and SCNs) obtained from genome skimming based on phylogenetic analyses of the Vitis clade at the genus level and Vitaceae at the family level, respectively. Our results showed that optimal minimum sequencing depth for high-quality SCNs assembly via genome skimming was about 10× coverage. Without the steps of synthesizing baits and enrichment experiments, coupled with incredibly low sequencing costs, we showcase that deep genome skimming (DGS) is as effective for capturing large data sets of SCNs as the widely used Hyb-Seq approach, in addition to capturing plastomes, mtDNA, and entire nrDNA repeats. DGS may serve as an efficient and economical alternative and may be superior to the popular target enrichment/Hyb-Seq approach.     

Vom Phänotyp zum Genotyp

Forward Genomics – a comparative genomics approach to link phenotype to genotype Despite availability of several sequenced genomes, we know very little about the specific changes in the DNA that underlie phenotypic differences between species. The main reason is that species differ by both numerous genomic and phenotypic changes. A new comparative genomics method addresses this question by for phenotypes with independent evolutionary losses by searching for genomic regions that exhibit an elevated number of mutations in exactly these phenotype‐loss species. The near future sequencing of thousands of novel genomes will make it possible to use comparative genomics to systematically search for such DNA changes that are associated with phenotypic differences.     

Phylogeographic genomics of mitochondrial DNA: Highly-resolved patterns of intraspecific evolution and a multi-species, microarray-based DNA sequencing strategy for biodiversity studies

Phylogeographic genomics, based on multiple complete mtDNA genome sequences from within individual vertebrate species, provides highly-resolved intraspecific trees for the detailed study of evolutionary biology. We describe new biogeographic and historical insights from our studies of the genomes of codfish, wolffish, and harp seal populations in the Northwest Atlantic, and from the descendants of the founding human population of Newfoundland. Population genomics by conventional sequencing methods remains laborious. A new biotechnology, iterative DNA “re-sequencing”, uses a DNA microarray to recover 30–300 kb of contiguous DNA sequence in a single experiment. Experiments with a single-species mtDNA microarray show that the method is accurate and efficient, and sufficiently species-specific to discriminate mtDNA genomes of moderately-divergent taxa. Experiments with a multi-species DNA microarray (the “ArkChip”) show that simultaneous sequencing of species in different orders and classes detects SNPs within each taxon with equal accuracy as single-species-specific experiments. Iterative DNA sequencing offers a practical method for high-throughput biodiversity genomics that will enable standardized, coordinated investigation of multiple species of interest to Species at Risk and conservation biologists.