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Featured researches published by Yiran Guo.


Nature | 2008

The diploid genome sequence of an Asian individual

Jun Wang; Wei Wang; Ruiqiang Li; Yingrui Li; Geng Tian; Laurie Goodman; Wei Fan; Junqing Zhang; Jun Li; Juanbin Zhang; Yiran Guo; Binxiao Feng; Heng Li; Yao Lu; Xiaodong Fang; Huiqing Liang; Z. Du; Dong Li; Yiqing Zhao; Yujie Hu; Zhenzhen Yang; Hancheng Zheng; Ines Hellmann; Michael Inouye; John E. Pool; Xin Yi; Jing Zhao; Jinjie Duan; Yan Zhou; Junjie Qin

Here we present the first diploid genome sequence of an Asian individual. The genome was sequenced to 36-fold average coverage using massively parallel sequencing technology. We aligned the short reads onto the NCBI human reference genome to 99.97% coverage, and guided by the reference genome, we used uniquely mapped reads to assemble a high-quality consensus sequence for 92% of the Asian individual’s genome. We identified approximately 3 million single-nucleotide polymorphisms (SNPs) inside this region, of which 13.6% were not in the dbSNP database. Genotyping analysis showed that SNP identification had high accuracy and consistency, indicating the high sequence quality of this assembly. We also carried out heterozygote phasing and haplotype prediction against HapMap CHB and JPT haplotypes (Chinese and Japanese, respectively), sequence comparison with the two available individual genomes (J. D. Watson and J. C. Venter), and structural variation identification. These variations were considered for their potential biological impact. Our sequence data and analyses demonstrate the potential usefulness of next-generation sequencing technologies for personal genomics.


Nature Genetics | 2010

Resequencing of 200 human exomes identifies an excess of low-frequency non-synonymous coding variants

Yingrui Li; Nicolas Vinckenbosch; Geng Tian; Emilia Huerta-Sanchez; Tao Jiang; Hui Jiang; Anders Albrechtsen; Gitte Andersen; Hongzhi Cao; Thorfinn Sand Korneliussen; Niels Grarup; Yiran Guo; Ines Hellman; Xin Jin; Qibin Li; Jiangtao Liu; Xiao Liu; Thomas Sparsø; Meifang Tang; Honglong Wu; Renhua Wu; Chang Yu; Hancheng Zheng; Arne Astrup; Lars Bolund; Johan Holmkvist; Torben Jørgensen; Karsten Kristiansen; Ole Schmitz; Thue W. Schwartz

Targeted capture combined with massively parallel exome sequencing is a promising approach to identify genetic variants implicated in human traits. We report exome sequencing of 200 individuals from Denmark with targeted capture of 18,654 coding genes and sequence coverage of each individual exome at an average depth of 12-fold. On average, about 95% of the target regions were covered by at least one read. We identified 121,870 SNPs in the sample population, including 53,081 coding SNPs (cSNPs). Using a statistical method for SNP calling and an estimation of allelic frequencies based on our population data, we derived the allele frequency spectrum of cSNPs with a minor allele frequency greater than 0.02. We identified a 1.8-fold excess of deleterious, non-syonomyous cSNPs over synonymous cSNPs in the low-frequency range (minor allele frequencies between 2% and 5%). This excess was more pronounced for X-linked SNPs, suggesting that deleterious substitutions are primarily recessive.


Science | 2009

Complete Resequencing of 40 Genomes Reveals Domestication Events and Genes in Silkworm (Bombyx)

Qingyou Xia; Yiran Guo; Ze Zhang; Dong Li; Zhaoling Xuan; Zhuo Li; Fangyin Dai; Yingrui Li; Daojun Cheng; Ruiqiang Li; Tingcai Cheng; Tao Jiang; Celine Becquet; Xun Xu; Chun Liu; Xingfu Zha; Wei Fan; Ying Lin; Yihong Shen; Lan Jiang; Jeffrey D. Jensen; Ines Hellmann; Si Tang; Ping Zhao; Hanfu Xu; Chang Yu; Guojie Zhang; Jun Li; Jianjun Cao; Shiping Liu

The Taming of the Silkworm Silkworms, Bombyx mori, represent one of the few domesticated insects, having been domesticated over 10,000 years ago. Xia et al. (p. 433, published online 27 August) sequenced 29 domestic and 11 wild silkworm lines and identified genes that were most likely to be selected during domestication. These genes represent those that enhance silk production, reproduction, and growth. Furthermore, silkworms were probably only domesticated once from a large progenitor population, rather than on multiple occasions, as has been observed for other domesticated animals. Silkworm genomes show signatures of selection associated with domestication. A single–base pair resolution silkworm genetic variation map was constructed from 40 domesticated and wild silkworms, each sequenced to approximately threefold coverage, representing 99.88% of the genome. We identified ~16 million single-nucleotide polymorphisms, many indels, and structural variations. We find that the domesticated silkworms are clearly genetically differentiated from the wild ones, but they have maintained large levels of genetic variability, suggesting a short domestication event involving a large number of individuals. We also identified signals of selection at 354 candidate genes that may have been important during domestication, some of which have enriched expression in the silk gland, midgut, and testis. These data add to our understanding of the domestication processes and may have applications in devising pest control strategies and advancing the use of silkworms as efficient bioreactors.


Nucleic Acids Research | 2007

TreeFam: 2008 Update

Jue Ruan; Heng Li; Zhongzhong Chen; Avril Coghlan; Lachlan Coin; Yiran Guo; Jean-Karim Hériché; Yafeng Hu; Karsten Kristiansen; Ruiqiang Li; Tao Liu; Alan M. Moses; Junjie Qin; Søren Vang; Albert J. Vilella; Abel Ureta-Vidal; Lars Bolund; Jun Wang; Richard Durbin

TreeFam (http://www.treefam.org) was developed to provide curated phylogenetic trees for all animal gene families, as well as orthologue and paralogue assignments. Release 4.0 of TreeFam contains curated trees for 1314 families and automatically generated trees for another 14 351 families. We have expanded TreeFam to include 25 fully sequenced animal genomes, as well as four genomes from plant and fungal outgroup species. We have also introduced more accurate approaches for automatically grouping genes into families, for building phylogenetic trees, and for inferring orthologues and paralogues. The user interface for viewing phylogenetic trees and family information has been improved. Furthermore, a new perl API lets users easily extract data from the TreeFam mysql database.


Genetic Epidemiology | 2010

Design of Association Studies with Pooled or Un-pooled Next-Generation Sequencing Data

Su Yeon Kim; Yingrui Li; Yiran Guo; Ruiqiang Li; Johan Holmkvist; Torben Hansen; Oluf Pedersen; Jun Wang; Rasmus Nielsen

Most common hereditary diseases in humans are complex and multifactorial. Large‐scale genome‐wide association studies based on SNP genotyping have only identified a small fraction of the heritable variation of these diseases. One explanation may be that many rare variants (a minor allele frequency, MAF <5%), which are not included in the common genotyping platforms, may contribute substantially to the genetic variation of these diseases. Next‐generation sequencing, which would allow the analysis of rare variants, is now becoming so cheap that it provides a viable alternative to SNP genotyping. In this paper, we present cost‐effective protocols for using next‐generation sequencing in association mapping studies based on pooled and un‐pooled samples, and identify optimal designs with respect to total number of individuals, number of individuals per pool, and the sequencing coverage. We perform a small empirical study to evaluate the pooling variance in a realistic setting where pooling is combined with exon‐capturing. To test for associations, we develop a likelihood ratio statistic that accounts for the high error rate of next‐generation sequencing data. We also perform extensive simulations to determine the power and accuracy of this method. Overall, our findings suggest that with a fixed cost, sequencing many individuals at a more shallow depth with larger pool size achieves higher power than sequencing a small number of individuals in higher depth with smaller pool size, even in the presence of high error rates. Our results provide guidelines for researchers who are developing association mapping studies based on next‐generation sequencing. Genet. Epidemiol. 34: 479–491, 2010.


BMC Evolutionary Biology | 2010

Genetic diversity, molecular phylogeny and selection evidence of the silkworm mitochondria implicated by complete resequencing of 41 genomes

Dong Li; Yiran Guo; Haojing Shao; Laurent C. A. M. Tellier; Jun Wang; Zhonghuai Xiang; Qingyou Xia

BackgroundMitochondria are a valuable resource for studying the evolutionary process and deducing phylogeny. A few mitochondria genomes have been sequenced, but a comprehensive picture of the domestication event for silkworm mitochondria remains to be established. In this study, we integrate the extant data, and perform a whole genome resequencing of Japanese wild silkworm to obtain breakthrough results in silkworm mitochondrial (mt) population, and finally use these to deduce a more comprehensive phylogeny of the Bombycidae.ResultsWe identified 347 single nucleotide polymorphisms (SNPs) in the mt genome, but found no past recombination event to have occurred in the silkworm progenitor. A phylogeny inferred from these whole genome SNPs resulted in a well-classified tree, confirming that the domesticated silkworm, Bombyx mori, most recently diverged from the Chinese wild silkworm, rather than from the Japanese wild silkworm. We showed that the population sizes of the domesticated and Chinese wild silkworms both experience neither expansion nor contraction. We also discovered that one mt gene, named cytochrome b, shows a strong signal of positive selection in the domesticated clade. This gene is related to energy metabolism, and may have played an important role during silkworm domestication.ConclusionsWe present a comparative analysis on 41 mt genomes of B. mori and B. mandarina from China and Japan. With these, we obtain a much clearer picture of the evolution history of the silkworm. The data and analyses presented here aid our understanding of the silkworm in general, and provide a crucial insight into silkworm phylogeny.


Nucleic Acids Research | 2007

PigGIS: Pig Genomic Informatics System

Jue Ruan; Yiran Guo; Heng Li; Yafeng Hu; Fei Song; Xin Huang; Karsten Kristiensen; Lars Bolund; Jun Wang

Pig Genomic Information System (PigGIS) is a web-based depository of pig (Sus scrofa) genomic learning mainly engineered for biomedical research to locate pig genes from their human homologs and position single nucleotide polymorphisms (SNPs) in different pig populations. It utilizes a variety of sequence data, including whole genome shotgun (WGS) reads and expressed sequence tags (ESTs), and achieves a successful mapping solution to the low-coverage genome problem. With the data presently available, we have identified a total of 15 700 pig consensus sequences covering 18.5 Mb of the homologous human exons. We have also recovered 18 700 SNPs and 20 800 unique 60mer oligonucleotide probes for future pig genome analyses. PigGIS can be freely accessed via the web at and .


Theoretical and Applied Climatology | 1996

Mean climate state simulated by a coupled ocean-atmosphere general circulation model

Yiran Guo; Yanshan Yu; Kaixian Chen; Xia Jin; X.H. Zhang

SummaryThe result of a 100-year integration of a coupled ocean-atmosphere general circulation model (CGCM) is analyzed, and compared with that of a 25-year integration of the corresponding uncoupled atmospheric general circulation model (AGCM) and observed data. The large-scale circulation patterns of mean climate state simulated by the CGCM are in good agreement with the observed ones, although differences exit in the positions and intensities between the simulated and the observed patterns. Having compared the standard deviations of monthly mean sea level pressure simulated by the CGCM to those by the AGCM, we found that the interaction between ocean and atmosphere mainly increases the interannual variability in the tropics especially in summer. The CGCM can also produce El Niño and Southern Oscillation (ENSO) events, whereas the AGCM cannot reproduce the main features of the Southern Oscillation. This implies that the air-sea interaction may be a principal mechanism for the occurrence of ENSO phenomena. The fundamental features of simulated regional climates are also analyzed. The CGCM can reproduce principal characteristics of surface air temperature and precipitation at five selected typical regions (desert region, plain region, monsoon region etc.). The distributions of annual mean surface ait temperature and precipitation in East Asia can also be reasonably simulated.


BMC Bioinformatics | 2007

A cross-species alignment tool (CAT)

Heng Li; Liang Guan; Tao Liu; Yiran Guo; Wei-Mou Zheng; Gane Ka-Shu Wong; Jun Wang

BackgroundThe main two sorts of automatic gene annotation frameworks are ab initio and alignment-based, the latter splitting into two sub-groups. The first group is used for intra-species alignments, among which are successful ones with high specificity and speed. The other group contains more sensitive methods which are usually applied in aligning inter-species sequences.ResultsHere we present a new algorithm called CAT (for Cross-species Alignment Tool). It is designed to align mRNA sequences to mammalian-sized genomes. CAT is implemented using C scripts and is freely available on the web at http://xat.sourceforge.net/.ConclusionsExamined from different angles, CAT outperforms other extant alignment tools. Tested against all available mouse-human and zebrafish-human orthologs, we demonstrate that CAT combines the specificity and speed of the best intra-species algorithms, like BLAT and sim4, with the sensitivity of the best inter-species tools, like GeneWise.


Archive | 2010

The sequence and de novo assembly of the giant panda genome (vol 463, pg 311, 2010)

Ruiqiang Li; Wei Jun Fan; Geng Tian; Hongmei Zhu; Lin He; Jing Cai; Quanfei Huang; Qingle Cai; Bo Li; Yinqi Bai; Zhihe Zhang; Ya-Ping Zhang; Wen Qiang Wang; Jun Li; Fuwen Wei; Cai Heng Li; Min Jian; Jianwen Li; Zhaolei Zhang; Rasmus Nielsen; Dawei Li; Wanjun Gu; Zhentao Yang; Zhaoling Xuan; Oliver A. Ryder; Frederick Chi-Ching Leung; Zhou Yan; Jianjun Cao; Xiao Li Sun; Yonggui Fu

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Jun Wang

Chinese Academy of Sciences

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Ruiqiang Li

Chinese Academy of Sciences

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Yingrui Li

Chinese Academy of Sciences

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Dong Li

Southwest University

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Geng Tian

Chinese Academy of Sciences

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Chang Yu

Beijing Institute of Genomics

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Hancheng Zheng

Beijing Institute of Genomics

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Jue Ruan

Chinese Academy of Sciences

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