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Mouse embryonic stem cells (mESCs) are key tools for genetic engineering, development of stem cell–based therapies and basic research on pluripotency and early lineage commitment. However, successful derivation of germline-competent embryonic stem cell lines has, until recently, been limited to a small number of inbred mouse strains. Recently, there have been considerable advances in the field of embryonic stem cell biology, particularly in the area of pluripotency maintenance in the epiblast from which the mESCs are derived. Here we describe a protocol for efficient derivation of germline-competent mESCs from any mouse strain, including strains previously deemed nonpermissive. We provide a protocol that is generally applicable to most inbred strains, as well as a variant for nonpermissive strains. By using this protocol, mESCs can be derived in 3 weeks and fully characterized after an additional 12 weeks, at efficiencies as high as 90% and in any strain background.

We report genome sequences of 17 inbred strains of laboratory mice and identify almost ten times more variants than previously known. We use these genomes to explore the phylogenetic history of the laboratory mouse and to examine the functional consequences of allele-specific variation on transcript abundance, revealing that at least 12% of transcripts show a significant tissue-specific expression bias. By identifying candidate functional variants at 718 quantitative trait loci we show that the molecular nature of functional variants and their position relative to genes vary according to the effect size of the locus. These sequences provide a starting point for a new era in the functional analysis of a key model organism. Variation in the mouse genome The laboratory mouse has become the workhorse of biomedical research. The draft sequence of the mouse reference genome was published in 2002, but some forms of variation are still poorly documented. Two papers in this issue go a long way towards filling the gaps. The generation and analysis of sequence from 17 key mouse genomes, including most of the commonly used inbred strains and their progenitors, reveal extensive genetic variation and provide insights into the molecular nature of functional variants as well as the phylogenetic history of the lab mouse. The data will be an important resource for a new era of functional analysis. The second paper describes the landscape of structural variants in the genomes of 13 classical and four wild-derived inbred mouse strains, mapping many of them to base-pair resolution. Despite their prevalence, structural variants are shown to have a relatively small impact on phenotypic variation.

The kinesin family member 18 A ( KIF18A ) is an essential regulator of microtubule dynamics and chromosome alignment during mitosis. Functional dependency on KIF18A varies by cell type and genetic context but the heritable factors that influence this dependency remain unknown. To address this, we took advantage of the variable penetrance observed in different mouse strain backgrounds to screen for loci that modulate germ cell depletion in the absence of KIF18A. We found a significant association at a Chr5 locus where anaphase promoting complex subunits 5 ( Anapc5 ) and 7 ( Anapc7 ) were the top candidate genes. We found that both genes were differentially expressed in a sensitive strain background when compared to resistant strain background at key timepoints in gonadal development. We also identified a novel retroviral insertion in Anapc7 that may in part explain the observed expression differences. In cell line models, we found that depletion of KIF18A induced mitotic arrest, which was partially rescued by co-depletion of ANAPC7 (APC7) and exacerbated by co-depletion of ANAPC5 (APC5). These findings suggest that differential expression and activity of Anapc5 and Anapc7 may influence sensitivity to KIF18A depletion in germ cells and CIN cells, with potential implications for optimizing antineoplastic therapies.

Gene expression is known to be affected by interactions between local genetic variation and DNA accessibility, with the latter organized into three-dimensional chromatin structures. Analyses of these interactions have previously been limited, obscuring their regulatory context, and the extent to which they occur throughout the genome. Here, we undertake a genome-scale analysis of these interactions in a genetically diverse population to systematically identify global genetic–epigenetic interaction, and reveal constraints imposed by chromatin structure. We establish the extent and structure of genotype-by-epigenotype interaction using embryonic stem cells derived from Diversity Outbred mice. This mouse population segregates millions of variants from eight inbred founders, enabling precision genetic mapping with extensive genotypic and phenotypic diversity. With 176 samples profiled for genotype, gene expression, and open chromatin, we used regression modeling to infer genetic–epigenetic interactions on a genome-wide scale. Our results demonstrate that statistical interactions between genetic variants and chromatin accessibility are common throughout the genome. We found that these interactions occur within the local area of the affected gene, and that this locality corresponds to topologically associated domains (TADs). The likelihood of interaction was most strongly defined by the three-dimensional (3D) domain structure rather than linear DNA sequence. We show that stable 3D genome structure is an effective tool to guide searches for regulatory elements and, conversely, that regulatory elements in genetically diverse populations provide a means to infer 3D genome structure. We confirmed this finding with CTCF ChIP-seq that revealed strain-specific binding in the inbred founder mice. In stem cells, open chromatin participating in the most significant regression models demonstrated an enrichment for developmental genes and the TAD-forming CTCF-binding complex, providing an opportunity for statistical inference of shifting TAD boundaries operating during early development. These findings provide evidence that genetic and epigenetic factors operate within the context of 3D chromatin structure.

Ts65Dn is a mouse model of Down syndrome: a syndrome that results from chromosome (Chr) 21 trisomy and is associated with congenital defects, cognitive impairment, and ultimately Alzheimer’s disease. Ts65Dn mice have segmental trisomy for distal mouse Chr 16, a region sharing conserved synteny with human Chr 21. As a result, this strain harbors three copies of over half of the human Chr 21 orthologs. The trisomic segment of Chr 16 is present as a translocation chromosome (Mmu1716), with breakpoints that have not been defined previously. To molecularly characterize the Chrs 16 and 17 breakpoints on the translocation chromosome in Ts65Dn mice, we used a selective enrichment and high-throughput paired-end sequencing approach. Analysis of paired-end reads flanking the Chr 16, Chr 17 junction on Mmu1716 and de novo assembly of the reads directly spanning the junction provided the precise locations of the Chrs 16 and 17 breakpoints at 84,351,351 and 9,426,822 bp, respectively. These data provide the basis for low-cost, highly efficient genotyping of Ts65Dn mice. More importantly, these data provide, for the first time, complete characterization of gene dosage in Ts65Dn mice.

Mouse embryonic stem (ES) cells are derived from the inner cell mass of blastocyst stage embryos and are used primarily for the creation of genetically engineered strains through gene targeting. While some inbred strains of mice are permissive to the derivation of embryonic stem cell lines and are therefore easily engineered, others are nonpermissive or recalcitrant. Genetic engineering of recalcitrant strain backgrounds requires gene targeting in a permissive background followed by extensive backcrossing of the engineered allele into the desired strain background. The inbred mouse strain DBA/2J is a recalcitrant strain that is used as a model of many human diseases, including glaucoma, deafness and schizophrenia. Here, we describe the generation of germ-line competent ES cell lines derived from DBA/2J mice. We also demonstrate the utility of DBA/2J ES cells with the creation of conditional knockout allele for Endothelin-2 (Edn2) directly on the DBA/2J strain background.

We report full-length draft de novo genome assemblies for 16 widely used inbred mouse strains and find extensive strain-specific haplotype variation. We identify and characterize 2,567 regions on the current mouse reference genome exhibiting the greatest sequence diversity. These regions are enriched for genes involved in pathogen defence and immunity and exhibit enrichment of transposable elements and signatures of recent retrotransposition events. Combinations of alleles and genes unique to an individual strain are commonly observed at these loci, reflecting distinct strain phenotypes. We used these genomes to improve the mouse reference genome, resulting in the completion of 10 new gene structures. Also, 62 new coding loci were added to the reference genome annotation. These genomes identified a large, previously unannotated, gene (Efcab3-like) encoding 5,874 amino acids. Mutant Efcab3-like mice display anomalies in multiple brain regions, suggesting a possible role for this gene in the regulation of brain development.

Gene expression is known to be affected by interactions between local genetic variation and DNA accessibility, with the latter organized into three-dimensional chromatin structures. Analyses of these interactions have previously been limited, obscuring their regulatory context, and the extent to which they occur throughout the genome. Here, we undertake a genome-scale analysis of these interactions in a genetically diverse population to systematically identify global genetic–epigenetic interaction, and reveal constraints imposed by chromatin structure. We establish the extent and structure of genotype-by-epigenotype interaction using embryonic stem cells derived from Diversity Outbred mice. This mouse population segregates millions of variants from eight inbred founders, enabling precision genetic mapping with extensive genotypic and phenotypic diversity. With 176 samples profiled for genotype, gene expression, and open chromatin, we used regression modeling to infer genetic–epigenetic interactions on a genome-wide scale. Our results demonstrate that statistical interactions between genetic variants and chromatin accessibility are common throughout the genome. We found that these interactions occur within the local area of the affected gene, and that this locality corresponds to topologically associated domains (TADs). The likelihood of interaction was most strongly defined by the three-dimensional (3D) domain structure rather than linear DNA sequence. We show that stable 3D genome structure is an effective tool to guide searches for regulatory elements and, conversely, that regulatory elements in genetically diverse populations provide a means to infer 3D genome structure. We confirmed this finding with CTCF ChIP-seq that revealed strain-specific binding in the inbred founder mice. In stem cells, open chromatin participating in the most significant regression models demonstrated an enrichment for developmental genes and the TAD-forming CTCF-binding complex, providing an opportunity for statistical inference of shifting TAD boundaries operating during early development. These findings provide evidence that genetic and epigenetic factors operate within the context of 3D chromatin structure.

Mouse embryonic stem cells (mESCs) are critical tools for genetic engineering, development of stem cell based therapies, and basic research on pluripotency and early lineage commitment. However, successful derivation of germline-competent embryonic stem cell lines has, until recently, been limited to a small number of inbred mouse strains. Recently, there have been significant advances in the field of embryonic stem cell biology, particularly in the area of pluripotency maintenance in the epiblast from which mESCs are derived. Here we describe a protocol for efficient derivation of germline competent mESCs from any mouse strain, including strains previously deemed non-permissive. We provide a primary method that is generally applicable to most inbred strains, as well as an alternative method for non-permissive strains. Using this protocol, mESCs can be derived in 3 weeks and fully characterized after an additional 12 weeks, at efficiencies as high as 90% and in any strain background.

Aneuploidy, which leads to unpaired chromosomal axes during meiosis, is frequently accompanied by infertility. We previously showed, using three mouse models of Down syndrome, that it is an extra chromosome, but not extra gene dose, that is associated with male infertility and virtual absence of post-meiotic gem cells. Here, we test the hypothesis that aneuploid segments are differentially modified and expressed during meiosis, depending on whether they are present as an extra chromosome or not. In all three models examined, the trisomic region lacks a pairing partner, but in one case, spermatocytes have an extra (and unpaired) chromosome, while the two other models involve translocation of the trisomic region rather than an extra chromosome. An extra unpaired chromosome was always modified by phosphorylation of histone H2AX and lacked RNA PolII. But in the case of trisomic regions attached to a paired chromosome, assembly of these protein modifications was affected by the position of a trisomic region relative to a centromere and the physical extent of the unpaired chromatin. Analysis of gene expression in testes revealed that extra copy number alone was not sufficient for meiotic upregulation of genes in the trisomic interval. Additionally and unexpectedly, presence of meiotic gene silencing chromatin modifications was not sufficient for downregulation of genes in unpaired trisomic chromatin. Thus, the meiotic chromatin modifications that are cytologically visible are unlikely to be directly involved in sterility versus fertility of DS models. Finally, the presence of an extra unpaired chromosome, but not the presence of extra (trisomic) genes, caused global deregulation of transcription in spermatocytes. These results reveal mechanisms by which an extra chromosome, but not trisomic gene dose, impact on meiotic progress and infertility.