发布: 2018年08月05日第8卷第15期 DOI: 10.21769/BioProtoc.2955 浏览次数: 10899
评审: Rainer MelzerPooja VermaVinay Panwar
Abstract
Chromosome conformation capture sequencing (Hi-C) is a powerful method to comprehensively interrogate the three-dimensional positioning of chromatin in the nucleus. The development of Hi-C can be traced back to successive increases in the resolution and throughput of chromosome conformation capture (3C) (Dekker et al., 2002). The basic workflow of 3C consists of (i) fixation of intact chromatin, usually by formaldehyde, (ii) cutting the fixed chromatin with a restriction enzyme, (iii) religation of sticky ends under diluted conditions to favor ligations between cross-linked fragments or those between random fragments and (iv) quantifying the number of ligations events between pairs of genomic loci (de Wit and de Laat, 2012). In the original 3C protocol, ligation frequency was measured by amplification of selected ligation junctions corresponding to a small number of genomic loci (‘one versus one’) through semi-quantitative PCR (Dekker et al., 2002). The chromosome conformation capture-on-chip (4C) and chromosome conformation capture carbon copy (5C) technologies then extended 3C to count ligation events in a ‘one versus many’ or ‘many versus many’ manner, respectively. Hi-C (Lieberman-Aiden et al., 2009) finally combined 3C with next-generation sequencing (Metzker, 2010). Here, before religation sticky ends are filled in with biotin-labeled nucleotide analogs to enrich for fragments with a ligation junction in a later step. The Hi-C libraries are then subjected to high-throughput sequencing and the resultant reads mapped to a reference genome, allowing the determination of contact probabilities in a ‘many versus many’ way with a resolution that is limited only by the distribution of restriction sites and the read depth. The first application of Hi-C was the elucidation of global chromatin folding principles in the human genome (Lieberman-Aiden et al., 2009). Similar efforts have since been carried out in other eukaryotic model species such as yeast (Duan et al., 2010), Drosophila (Sexton et al., 2012) and Arabidopsis (Grob et al., 2014; Wang et al., 2015; Liu et al., 2016). Other uses of Hi-C include the study of chromatin looping at high-resolution (Rao et al., 2014; Liu et al., 2016), of chromatin reorganization along the cell cycle (Naumova et al., 2013) and of differences in chromatin organization in mutant individuals (Feng et al., 2014). The tethered conformation capture protocol (TCC) (Kalhor et al., 2011) described here is a variant of the original Hi-C method (Lieberman-Aiden et al., 2009) and was adapted to Triticeae.
Keywords: Tethered conformation capture (构象捕获)Background
Any successful Hi-C experiment should reveal the distance-dependent decay of contact probabilities: the frequency by which two loci juxtapose in three-dimensional space is predominantly determined by their distance in the linear genome (Lieberman-Aiden et al., 2009). This observation motivated the application of Hi-C for physical mapping: the number of Hi-C links between pairs of contigs of a whole-genome shotgun assembly can serve as a proxy of the linear distance between them. This distance information can then be fed into graph algorithms to reconstruct the linear order of scaffolds along the chromosomes (Burton et al., 2013; Kaplan and Dekker, 2013). The three-dimensional proximity information obtained from our TCC approach was employed to order and orient BAC-based super scaffolds in the high-quality barley reference genome (Beier et al., 2017; Mascher et al., 2017). For the Emmer genome assembly, the TCC information was used in a similar manner to validate the scaffolds leading to chromosome-scale assemblies (pseudomolecules) (Avni et al., 2017).
TCC is a modified Hi-C approach in which key reactions (marking of the DNA ends and circularization) are performed on a solid phase rather than in solution (Kalhor et al., 2011). In fact, in human cells the tethering approach yielded improved signal-to-noise ratios, thus leading to a better mapping of low-frequency interactions (Kalhor et al., 2011). This observation prompted us to develop a similar protocol for Triticeae, which is based on the isolation of crosslinked nuclei from young leaves (Hövel et al., 2012) followed by TCC (Kalhor et al., 2011) (Figure 1). Briefly, the chromosome conformation is captured in native leaves by chemical crosslinking using formaldehyde (Hövel et al., 2012), which covalently connects proteins to DNA, as well as proteins to each other. Nuclei are purified, and cysteine residues of proteins contained in the chromatin are biotinylated (Kalhor et al., 2011). The DNA is digested with a restriction enzyme (HindIII) followed by immobilization at low density on streptavidin-coated beads via the crosslinked biotinylated proteins (Kalhor et al., 2011). DNA ends are filled-in, marked with biotin and circularized while tethered to the beads (Kalhor et al., 2011). The crosslinks are reversed, ligation junctions are affinity-purified and provided with adapters for Illumina sequencing to discover genuine pairs of intrachromosomal interaction sites, which were initially captured (Kalhor et al., 2011).
Chromosome conformation capture sequence data is analyzed in the context of genome sequence assemblies. If a chromosome-scale reference genome is available, Hi-C (or TCC) reads can be aligned to it and assigned to restriction fragment predicted in silico from the genome sequence. Subsequently, the number of Hi-C reads linking pairs of restriction pairs can be quantified and the counts be aggregated in larger genome windows (e.g., 1 Mb bins) to obtain estimates of the contact probabilities between pairs of genomic loci (Lieberman-Aiden et al., 2009). These contact probabilities can be used to investigate chromatin organization and its interaction with various biological parameters such as stage of the cell cycle (Naumova et al., 2013) or the epigenomic landscape (Zhou et al., 2013). Chromosome conformation capture sequencing can also be used to reconstruct contiguous, chromosome-scale genomic reference sequences from fragmented sequence assembly. The Hi-C/TCC reads are mapped to a sequence assembly composed of unordered scaffolds, and links between scaffolds are counted and used as a measure of genomic distance. The closer two sequence scaffolds are to each other in the linear genome, the higher the number of Hi-C read pairs linking them. This distance information can then be used to derive a linear order of sequence scaffolds and orient adjacent scaffolds relative to each other (Burton et al., 2013; Kaplan and Dekker, 2013). These approaches have been applied in the sequence assembly of insect (Dudchenko et al., 2017) and Triticeae genomes (Avni et al., 2017; Mascher et al., 2017).
Figure 1. Schematic overview of TCC for Triticeae. Leaves of seven days old plants (I) are harvested for chemical crosslinking of the chromatin (II). The chromatin structure is captured by the formation of covalent bonds between proteins (grey ovals) and between proteins and DNA (line). The orange and light blue segments exemplify two HindIII fragments located on a chromosome. Nuclei are purified (III), and proteins are biotinylated (IV, green pentagon) for subsequent tethering of the complexes to a solid phase. DNA is digested (scissors) using the restriction enzyme HindIII (V) and tethered at low density to streptavidin-coated beads (VI, purple). Ends are marked and filled-in using biotin-14-dCTP (VII, red star). By including dGTPαS in the fill-in reaction, a phosphorothioate bond is introduced. Thereby DNA is guarded against Exonuclease III digestion, which is used at a later step to remove biotinylated nucleotides from non-ligated ends (not shown). Filled-in HindIII sites are ligated ‘on-bead’ (VIII), thereby newly creating NheI restriction sites, which are indicating TCC ligation events. The crosslinking is reversed. DNA is purified (IX) and treated with Exonuclease III (not shown) prior to fragmentation (X). The position of primers (grey triangles) used for controlling the marking and ligation of ends (3C control) is indicated (IX). Ends of the fragmented DNA are repaired and tailed with ‘A’ (not shown). DNA fragments with genuine ligation junctions are affinity-purified based on the incorporated biotin (XI) and provided with Illumina adapters (XII, grey lines) for paired-end sequencing. Ligation products are PCR-amplified (XII; arrowheads: position of primer), size-selected (XIII) and quality controlled (QC). The junctions are revealed by paired-end (PE) sequencing using an Illumina HiSeq2500 device (XIV) followed by bioinformatic analysis (XV). The estimated hands-on time is indicated in days (d). The operating period of the Illumina HiSeq2500 instrument is given for 2x 100 cycles sequencing and depends on the chemistry and type of flowcell (days in brackets). The flowchart is adapted from (Kalhor et al., 2011).
Materials and Reagents
Notes:
Equipment
Software
Software and computer hardware:
To analyze Hi-C/TCC sequence data, a computer server running a Unix operating system (e.g., Linux, Solaris, MacOS; see Note 1) or access to a cloud-computing system (e.g., CyVerse, http://www.cyverse.org) is required. Common UNIX command line tools (such as) need to be available. To accelerate CPU-intensive steps such as read alignment, access to a multi-core machine (> 16 CPU cores) is recommended. Depending on the number of samples to be analyzed, hard disk storage space needs to be allocated.
The following bioinformatics software need to be installed to carry out the primary data analysis described below:
Procedure
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文章信息
版权信息
© 2018 The Authors; exclusive licensee Bio-protocol LLC.
如何引用
Himmelbach, A., Walde, I., Mascher, M. and Stein, N. (2018). Tethered Chromosome Conformation Capture Sequencing in Triticeae: A Valuable Tool for Genome Assembly. Bio-protocol 8(15): e2955. DOI: 10.21769/BioProtoc.2955.
分类
植物科学 > 植物分子生物学 > DNA > DNA 测序
分子生物学 > DNA > DNA 结构
系统生物学 > 表观基因组学 > 染色质结构
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