scholarly journals Programmed chromosome fission and fusion enable precise large-scale genome rearrangement and assembly

Science ◽  
2019 ◽  
Vol 365 (6456) ◽  
pp. 922-926 ◽  
Author(s):  
Kaihang Wang ◽  
Daniel de la Torre ◽  
Wesley E. Robertson ◽  
Jason W. Chin

The design and creation of synthetic genomes provide a powerful approach to understanding and engineering biology. However, it is often limited by the paucity of methods for precise genome manipulation. Here, we demonstrate the programmed fission of the Escherichia coli genome into diverse pairs of synthetic chromosomes and the programmed fusion of synthetic chromosomes to generate genomes with user-defined inversions and translocations. We further combine genome fission, chromosome transplant, and chromosome fusion to assemble genomic regions from different strains into a single genome. Thus, we program the scarless assembly of new genomes with nucleotide precision, a key step in the convergent synthesis of genomes from diverse progenitors. This work provides a set of precise, rapid, large-scale (megabase) genome-engineering operations for creating diverse synthetic genomes.

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Yingxiao Zhang ◽  
Qiurong Ren ◽  
Xu Tang ◽  
Shishi Liu ◽  
Aimee A. Malzahn ◽  
...  

AbstractCRISPR-Cas12a is a promising genome editing system for targeting AT-rich genomic regions. Comprehensive genome engineering requires simultaneous targeting of multiple genes at defined locations. Here, to expand the targeting scope of Cas12a, we screen nine Cas12a orthologs that have not been demonstrated in plants, and identify six, ErCas12a, Lb5Cas12a, BsCas12a, Mb2Cas12a, TsCas12a and MbCas12a, that possess high editing activity in rice. Among them, Mb2Cas12a stands out with high editing efficiency and tolerance to low temperature. An engineered Mb2Cas12a-RVRR variant enables editing with more relaxed PAM requirements in rice, yielding two times higher genome coverage than the wild type SpCas9. To enable large-scale genome engineering, we compare 12 multiplexed Cas12a systems and identify a potent system that exhibits nearly 100% biallelic editing efficiency with the ability to target as many as 16 sites in rice. This is the highest level of multiplex edits in plants to date using Cas12a. Two compact single transcript unit CRISPR-Cas12a interference systems are also developed for multi-gene repression in rice and Arabidopsis. This study greatly expands the targeting scope of Cas12a for crop genome engineering.


2005 ◽  
Vol 71 (12) ◽  
pp. 8472-8480 ◽  
Author(s):  
Nobuaki Suzuki ◽  
Hiroshi Nonaka ◽  
Yota Tsuge ◽  
Masayuki Inui ◽  
Hideaki Yukawa

ABSTRACT Due to the difficulty of multiple deletions using the Cre/loxP system, a simple, markerless multiple-deletion method based on a Cre/mutant lox system combining a right-element (RE) mutant lox site with a left-element (LE) mutant lox site was employed for large-scale genome rearrangements in Corynebacterium glutamicum. Eight distinct genomic regions that had been identified previously by comparative analysis of C. glutamicum R and C. glutamicum 13032 genomes were targeted for deletion. By homologous recombination, LE and RE mutant lox sites were integrated at each end of a target region. Highly efficient and accurate deletions between the two chromosomal mutant lox sites in the presence of Cre recombinase were realized. A deletion mutant lacking 190 kb of chromosomal regions, encoding a total of 188 open reading frames (ORFs), was obtained. These deletions represent the largest genomic excisions in C. glutamicum reported to date. Despite the loss of numerous predicted ORFs, the mutant exhibited normal growth under standard laboratory conditions. The Cre/loxP system using a pair of mutant lox sites provides a new, efficient genome rearrangement technique for C. glutamicum. It should facilitate the understanding of genome functions of microorganisms.


2021 ◽  
Vol 7 (11) ◽  
pp. eabd6030
Author(s):  
Isabel Strohkendl ◽  
Fatema A. Saifuddin ◽  
Bryan A. Gibson ◽  
Michael K. Rosen ◽  
Rick Russell ◽  
...  

Genome engineering nucleases must access chromatinized DNA. Here, we investigate how AsCas12a cleaves DNA within human nucleosomes and phase-condensed nucleosome arrays. Using quantitative kinetics approaches, we show that dynamic nucleosome unwrapping regulates target accessibility to Cas12a and determines the extent to which both steps of binding—PAM recognition and R-loop formation—are inhibited by the nucleosome. Relaxing DNA wrapping within the nucleosome by reducing DNA bendability, adding histone modifications, or introducing target-proximal dCas9 enhances DNA cleavage rates over 10-fold. Unexpectedly, Cas12a readily cleaves internucleosomal linker DNA within chromatin-like, phase-separated nucleosome arrays. DNA targeting is reduced only ~5-fold due to neighboring nucleosomes and chromatin compaction. This work explains the observation that on-target cleavage within nucleosomes occurs less often than off-target cleavage within nucleosome-depleted genomic regions in cells. We conclude that nucleosome unwrapping regulates accessibility to CRISPR-Cas nucleases and propose that increasing nucleosome breathing dynamics will improve DNA targeting in eukaryotic cells.


Author(s):  
Jianglin Feng ◽  
Nathan C Sheffield

Abstract Summary Databases of large-scale genome projects now contain thousands of genomic interval datasets. These data are a critical resource for understanding the function of DNA. However, our ability to examine and integrate interval data of this scale is limited. Here, we introduce the integrated genome database (IGD), a method and tool for searching genome interval datasets more than three orders of magnitude faster than existing approaches, while using only one hundredth of the memory. IGD uses a novel linear binning method that allows us to scale analysis to billions of genomic regions. Availability https://github.com/databio/IGD


2021 ◽  
Vol 53 (1) ◽  
Author(s):  
Martin Johnsson ◽  
Andrew Whalen ◽  
Roger Ros-Freixedes ◽  
Gregor Gorjanc ◽  
Ching-Yi Chen ◽  
...  

Abstract Background Meiotic recombination results in the exchange of genetic material between homologous chromosomes. Recombination rate varies between different parts of the genome, between individuals, and is influenced by genetics. In this paper, we assessed the genetic variation in recombination rate along the genome and between individuals in the pig using multilocus iterative peeling on 150,000 individuals across nine genotyped pedigrees. We used these data to estimate the heritability of recombination and perform a genome-wide association study of recombination in the pig. Results Our results confirmed known features of the recombination landscape of the pig genome, including differences in genetic length of chromosomes and marked sex differences. The recombination landscape was repeatable between lines, but at the same time, there were differences in average autosome-wide recombination rate between lines. The heritability of autosome-wide recombination rate was low but not zero (on average 0.07 for females and 0.05 for males). We found six genomic regions that are associated with recombination rate, among which five harbour known candidate genes involved in recombination: RNF212, SHOC1, SYCP2, MSH4 and HFM1. Conclusions Our results on the variation in recombination rate in the pig genome agree with those reported for other vertebrates, with a low but nonzero heritability, and the identification of a major quantitative trait locus for recombination rate that is homologous to that detected in several other species. This work also highlights the utility of using large-scale livestock data to understand biological processes.


2006 ◽  
Vol 04 (03) ◽  
pp. 639-647 ◽  
Author(s):  
ELEAZAR ESKIN ◽  
RODED SHARAN ◽  
ERAN HALPERIN

The common approaches for haplotype inference from genotype data are targeted toward phasing short genomic regions. Longer regions are often tackled in a heuristic manner, due to the high computational cost. Here, we describe a novel approach for phasing genotypes over long regions, which is based on combining information from local predictions on short, overlapping regions. The phasing is done in a way, which maximizes a natural maximum likelihood criterion. Among other things, this criterion takes into account the physical length between neighboring single nucleotide polymorphisms. The approach is very efficient and is applied to several large scale datasets and is shown to be successful in two recent benchmarking studies (Zaitlen et al., in press; Marchini et al., in preparation). Our method is publicly available via a webserver at .


2012 ◽  
Vol 160 (1-2) ◽  
pp. 72-79 ◽  
Author(s):  
Tamás Fehér ◽  
Valerie Burland ◽  
György Pósfai

Author(s):  
Nima Dehdilani ◽  
Sara Yousefi Taemeh ◽  
Lena Goshayeshi ◽  
Hesam Dehghani

Abstract Generating biopharmaceuticals in genetically engineered bioreactors continues to reign supreme. Hence, genetically engineered birds have attracted considerable attention from the biopharmaceutical industry. Fairly recent genome engineering methods have made genome manipulation an easy and affordable task. In this review, we first provide a broad overview of the approaches and main impediments ahead of generating efficient and reliable genetically engineered birds, and various factors that affect the fate of a transgene. This section provides an essential background for the rest of the review, in which we discuss and compare different genome manipulation methods in the pre-CRISPR and CRISPR era in the field of avian genome engineering.


2017 ◽  
Vol 33 (2) ◽  
pp. 119-130
Author(s):  
Vinh Van Le ◽  
Hoai Van Tran ◽  
Hieu Ngoc Duong ◽  
Giang Xuan Bui ◽  
Lang Van Tran

Metagenomics is a powerful approach to study environment samples which do not require the isolation and cultivation of individual organisms. One of the essential tasks in a metagenomic project is to identify the origin of reads, referred to as taxonomic assignment. Due to the fact that each metagenomic project has to analyze large-scale datasets, the metatenomic assignment is very much computation intensive. This study proposes a parallel algorithm for the taxonomic assignment problem, called SeMetaPL, which aims to deal with the computational challenge. The proposed algorithm is evaluated with both simulated and real datasets on a high performance computing system. Experimental results demonstrate that the algorithm is able to achieve good performance and utilize resources of the system efficiently. The software implementing the algorithm and all test datasets can be downloaded at http://it.hcmute.edu.vn/bioinfo/metapro/SeMetaPL.html.


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