Li J.,BGI Shenzhen |
Li J.,BGI Hong Kong Research Institute |
Li J.,South China University of Technology |
Wang J.,BGI Shenzhen |
And 43 more authors.
Nature Biotechnology | Year: 2014
Many analyses of the human gut microbiome depend on a catalog of reference genes. Existing catalogs for the human gut microbiome are based on samples from single cohorts or on reference genomes or protein sequences, which limits coverage of global microbiome diversity. Here we combined 249 newly sequenced samples of the Metagenomics of the Human Intestinal Tract (MetaHit) project with 1,018 previously sequenced samples to create a cohort from three continents that is at least threefold larger than cohorts used for previous gene catalogs. From this we established the integrated gene catalog (IGC) comprising 9,879,896 genes. The catalog includes close-to-complete sets of genes for most gut microbes, which are also of considerably higher quality than in previous catalogs. Analyses of a group of samples from Chinese and Danish individuals using the catalog revealed country-specific gut microbial signatures. This expanded catalog should facilitate quantitative characterization of metagenomic, metatranscriptomic and metaproteomic data from the gut microbiome to understand its variation across populations in human health and disease. © 2014 Nature America, Inc.
Lin S.,Xiamen University |
Lin S.,University of Connecticut |
Cheng S.,CAS Beijing Institute of Genomics |
Cheng S.,Hong Kong University of Science and Technology |
And 37 more authors.
Science | Year: 2015
Dinoflagellates are important components of marine ecosystems and essential coral symbionts, yet little is known about their genomes. We report here on the analysis of a high-quality assembly from the 1180-megabase genome of Symbiodinium kawagutii. We annotated protein-coding genes and identified Symbiodinium-specific gene families. No whole-genome duplication was observed, but instead we found active (retro) transposition and gene family expansion, especially in processes important for successful symbiosis with corals. We also documented genes potentially governing sexual reproduction and cyst formation, novel promoter elements, and a microRNA system potentially regulating gene expression in both symbiont and coral.We found biochemical complementarity between genomes of S. kawagutii and the anthozoan Acropora, indicative of host-symbiont coevolution, providing a resource for studying the molecular basis and evolution of coral symbiosis.
Shen Y.,BGI Shenzhen |
Shen Y.,University of Edinburgh |
Stracquadanio G.,Johns Hopkins University |
Wang Y.,BGI Shenzhen |
And 21 more authors.
Genome Research | Year: 2016
Synthetic chromosome rearrangement and modification by loxP-mediated evolution (SCRaMbLE) generates combinatorial genomic diversity through rearrangements at designed recombinase sites. We applied SCRaMbLE to yeast synthetic chromosome arm synIXR (43 recombinase sites) and then used a computational pipeline to infer or unscramble the sequence of recombinations that created the observed genomes. Deep sequencing of 64 synIXR SCRaMbLE strains revealed 156 deletions, 89 inversions, 94 duplications, and 55 additional complex rearrangements; several duplications are consistent with a double rolling circle mechanism. Every SCRaMbLE strain was unique, validating the capability of SCRaMbLE to explore a diverse space of genomes. Rearrangements occurred exclusively at designed loxPsym sites, with no significant evidence for ectopic rearrangements or mutations involving synthetic regions, the 99% nonsynthetic nuclear genome, or the mitochondrial genome. Deletion frequencies identified genes required for viability or fast growth. Replacement of 3Œ UTR by non-UTR sequence had surprisingly little effect on fitness. SCRaMbLE generates genome diversity in designated regions, reveals fitness constraints, and should scale to simultaneous evolution of multiple synthetic chromosomes. © 2016 Shen et al.
Lin X.,Sino Danish Breast Cancer Research Center |
Lin X.,University of Aarhus |
Li J.,Sino Danish Breast Cancer Research Center |
Li J.,University of Aarhus |
And 18 more authors.
Breast Cancer Research | Year: 2013
Introduction: Development of resistance to tamoxifen is an important clinical issue in the treatment of breast cancer. Tamoxifen resistance may be the result of acquisition of epigenetic regulation within breast cancer cells, such as DNA methylation, resulting in changed mRNA expression of genes pivotal for estrogen-dependent growth. Alternatively, tamoxifen resistance may be due to selection of pre-existing resistant cells, or a combination of the two mechanisms.Methods: To evaluate the contribution of these possible tamoxifen resistance mechanisms, we applied modified DNA methylation-specific digital karyotyping (MMSDK) and digital gene expression (DGE) in combination with massive parallel sequencing to analyze a well-established tamoxifen-resistant cell line model (TAMR), consisting of 4 resistant and one parental cell line. Another tamoxifen-resistant cell line model system (LCC1/LCC2) was used to validate the DNA methylation and gene expression results.Results: Significant differences were observed in global gene expression and DNA methylation profiles between the parental tamoxifen-sensitive cell line and the 4 tamoxifen-resistant TAMR sublines. The 4 TAMR cell lines exhibited higher methylation levels as well as an inverse relationship between gene expression and DNA methylation in the promoter regions. A panel of genes, including NRIP1, HECA and FIS1, exhibited lower gene expression in resistant vs. parental cells and concurrent increased promoter CGI methylation in resistant vs. parental cell lines. A major part of the methylation, gene expression, and pathway alterations observed in the TAMR model were also present in the LCC1/LCC2 cell line model. More importantly, high expression of SOX2 and alterations of other SOX and E2F gene family members, as well as RB-related pocket protein genes in TAMR highlighted stem cell-associated pathways as being central in the resistant cells and imply that cancer-initiating cells/cancer stem-like cells may be involved in tamoxifen resistance in this model.Conclusion: Our data highlight the likelihood that resistant cells emerge from cancer-initiating cells/cancer stem-like cells and imply that these cells may gain further advantage in growth via epigenetic mechanisms. Illuminating the expression and DNA methylation features of putative cancer-initiating cells/cancer stem cells may suggest novel strategies to overcome tamoxifen resistance. © 2013 Lin et al.; licensee BioMed Central Ltd.
Kang L.,BGI Shenzhen |
Liu X.,Scientific Informatics |
Gong Z.,BGI Shenzhen |
Zheng H.,BGI Shenzhen |
And 17 more authors.
Genomics | Year: 2015
We did whole-transcriptome sequencing and whole-genome sequencing on nine pairs of Hepatocellular carcinoma (HCC) tumors and matched adjacent tissues to identify RNA editing events. We identified mean 26,982 editing sites with mean 89.5% canonical A. →. G edits in each sample using an improved bioinformatics pipeline. The editing rate was significantly higher in tumors than adjacent normal tissues. Comparing the difference between tumor and normal tissues of each patient, we found 7 non-synonymous tissue specific editing events including 4 tumor-specific edits and 3 normal-specific edits in the coding region, as well as 292 edits varying in editing degree. The significant expression changes of 150 genes associated with RNA editing were found in tumors, with 3 of the 4 most significant genes being cancer related. Our results show that editing might be related to higher gene expression. These findings indicate that RNA editing modification may play an important role in the development of HCC. © 2014 Elsevier Inc.
PubMed | King Abdulaziz University, University of Edinburgh, BGI Shenzhen, Johns Hopkins University and 2 more.
Type: Journal Article | Journal: Genome research | Year: 2016
Synthetic chromosome rearrangement and modification by loxP-mediated evolution (SCRaMbLE) generates combinatorial genomic diversity through rearrangements at designed recombinase sites. We applied SCRaMbLE to yeast synthetic chromosome arm synIXR (43 recombinase sites) and then used a computational pipeline to infer or unscramble the sequence of recombinations that created the observed genomes. Deep sequencing of 64 synIXR SCRaMbLE strains revealed 156 deletions, 89 inversions, 94 duplications, and 55 additional complex rearrangements; several duplications are consistent with a double rolling circle mechanism. Every SCRaMbLE strain was unique, validating the capability of SCRaMbLE to explore a diverse space of genomes. Rearrangements occurred exclusively at designed loxPsym sites, with no significant evidence for ectopic rearrangements or mutations involving synthetic regions, the 99% nonsynthetic nuclear genome, or the mitochondrial genome. Deletion frequencies identified genes required for viability or fast growth. Replacement of 3 UTR by non-UTR sequence had surprisingly little effect on fitness. SCRaMbLE generates genome diversity in designated regions, reveals fitness constraints, and should scale to simultaneous evolution of multiple synthetic chromosomes.
PubMed | Copenhagen University, Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, Macau University of Science and Technology, Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research and 5 more.
Type: | Journal: Cell systems | Year: 2016
The gut microbiota has been typically viewed as an environmental factor for human health. Twins are well suited for investigating the concordance of their gut microbiomes and decomposing genetic and environmental influences. However, existing twin studies utilizing metagenomic shotgun sequencing have included only a few samples. Here, we sequenced fecal samples from 250 adult twins in the TwinsUK registry and constructed a comprehensive gut microbial reference gene catalog. We demonstrate heritability of many microbial taxa and functional modules in the gut microbiome, including those associated with diseases. Moreover, we identified 8 million SNPs in the gut microbiome and observe a high similarity in microbiome SNPs between twins that slowly decreases after decades of living apart. The results shed new light on the genetic and environmental influences on the composition and function of the gut microbiome that could relate to risk of complex diseases.