A haplotype map of the human genomeThe International HapMap Consortium* Inherited genetic variation has a critical but as yet largely uncharacterized role in human disease. Here we report a public database of common variation in the human genome: more than one million single nucleotide polymorphisms (SNPs) for which accurate and complete genotypes have been obtained in 269 DNA samples from four populations, including ten 500-kilobase regions in which essentially all information about common DNA variation has been extracted. These data document the generality of recombination hotspots, a block-like structure of linkage disequilibrium and low haplotype diversity, leading to substantial correlations of SNPs with many of their neighbours. We show how the HapMap resource can guide the design and analysis of genetic association studies, shed light on structural variation and recombination, and identify loci that may have been subject to natural selection during human evolution.

Summary Elucidation of endogenous cellular protein-protein interactions and their networks is most desirable for biological studies. Here we report our study of endogenous human coregulator protein complex networks obtained from integrative mass spectrometry-based analysis of 3,290 affinity purifications. By preserving weak protein interactions during complex isolation and utilizing high levels of reciprocity in the large dataset we identified many unreported protein associations, such as a transcriptional network formed by ZMYND8, ZNF687 and ZNF592. Furthermore, our work revealed a tiered interplay within networks that share common proteins, providing a conceptual organization of a cellular proteome composed of minimal endogenous modules (MEMOs), functional uniCOREs and regulatory complex-complex interaction networks (CCIs). This resource will effectively fill a void in linking correlative genomic studies with an understanding of transcriptional regulatory protein functions within the proteome for formulation and testing of new hypotheses.

Although CRISPR-Cas9/Cpf1 have been employed as powerful genome engineering tools, heterologous CRISPR-Cas9/Cpf1 are often difficult to introduce into bacteria and archaea due to their severe toxicity. Since most prokaryotes harbor native CRISPR-Cas systems, genome engineering can be achieved by harnessing these endogenous immune systems. Here, we report the exploitation of Type I-B CRISPR-Cas of Clostridium tyrobutyricum for genome engineering. In silico CRISPR array analysis and plasmid interference assay revealed that TCA or TCG at the 5'-end of the protospacer was the functional protospacer adjacent motif (PAM) for CRISPR targeting. With a lactose inducible promoter for CRISPR array expression, we significantly decreased the toxicity of CRISPR-Cas and enhanced the transformation efficiency, and successfully deleted spo0A with an editing efficiency of 100%. We further evaluated effects of the spacer length on genome editing efficiency. Interestingly, spacers ≤ 20 nt led to unsuccessful transformation consistently, likely due to severe off-target effects; while a spacer of 30-38 nt is most appropriate to ensure successful transformation and high genome editing efficiency. Moreover, multiplex genome editing for the deletion of spo0A and pyrF was achieved in a single transformation, with an editing efficiency of up to 100%. Finally, with the integration of the alcohol dehydrogenase gene (adhE1 or adhE2) to replace cat1 (the key gene responsible for butyrate production and previously could not be deleted), two mutants were created for n-butanol production, with the butanol titer reached historically record high of 26.2 g/L in a batch fermentation. Altogether, our results demonstrated the easy programmability and high efficiency of endogenous CRISPR-Cas. The developed protocol herein has a broader applicability to other prokaryotes containing endogenous CRISPR-Cas systems. C. tyrobutyricum could be employed as an excellent platform to be engineered for biofuel and biochemical production using the CRISPR-Cas based genome engineering toolkit.

N1-4 is well known as a hyper-butanol-producing strain. However, the lack of genetic engineering tools hinders further elucidation of its solvent production mechanism and development of more robust strains. In this study, we set out to develop an efficient genome engineering system for this microorganism based on the clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated 9 (CRISPR-Cas9) system. First, the functionality of the CRISPR-Cas9 system previously customized for was evaluated in by targeting and, two essential genes for acetate and butyrate production, respectively. and single and double deletion mutants were successfully obtained based on this system. However, the genome engineering efficiency was rather low (the mutation rate is <20%). Therefore, the efficiency was further optimized by evaluating various promoters for guide RNA (gRNA) expression. With promoter P , we achieved a mutation rate of 75% for deletion without serial subculturing as suggested previously for Thus, this developed CRISPR-Cas9 system is highly desirable for efficient genome editing in Batch fermentation results revealed that both the acid and solvent production profiles were altered due to the disruption of acid production pathways; however, neither acetate nor butyrate production was eliminated with the deletion of the corresponding gene. The butanol production, yield, and selectivity were improved in mutants, depending on the fermentation medium. In the double deletion mutant, the butanol production in P2 medium reached 19.0 g/liter, which is one of the highest levels ever reported from batch fermentations. An efficient CRISPR-Cas9 genome engineering system was developed for N1-4. This paves the way for elucidating the solvent production mechanism in this hyper-butanol-producing microorganism and developing strains with desirable butanol-producing features. This tool can be easily adapted for use in closely related microorganisms. As also reported by others, here we demonstrated with solid data that the highly efficient expression of gRNA is the key factor determining the efficiency of CRISPR-Cas9 for genome editing. The protocol developed in this study can provide essential references for other researchers who work in the areas of metabolic engineering and synthetic biology. The developed mutants can be used as excellent starting strains for development of more robust ones for desirable solvent production.

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