Dongfang Li

Dongfang Li

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 March 2010 in Nature
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Journal Article
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MCMetaHIT Consortium
MetaHIT Consortium
JQJunjie Qin
Junjie Qin
RLRuiqiang Li
Ruiqiang Li
JRJeroen Raes
Jeroen Raes
MAManimozhiyan Arumugam
Manimozhiyan Arumugam
JWJun Wang
Jun Wang
To understand the impact of gut microbes on human health and well-being it is crucial to assess their genetic potential. Here we describe the Illumina-based metagenomic sequencing, assembly and characterization of 3.3 million non-redundant microbial genes, derived from 576.7 gigabases of sequence, from faecal samples of 124 European individuals. The gene set, ∼150 times larger than the human gene complement, contains an overwhelming majority of the prevalent (more frequent) microbial genes of the cohort and probably includes a large proportion of the prevalent human intestinal microbial genes. The genes are largely shared among individuals of the cohort. Over 99% of the genes are bacterial, indicating that the entire cohort harbours between 1,000 and 1,150 prevalent bacterial species and each individual at least 160 such species, which are also largely shared. We define and describe the minimal gut metagenome and the minimal gut bacterial genome in terms of functions present in all individuals and most bacteria, respectively.

1 September 2013 in Nature Genetics
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HZHongtai Zhang
Hongtai Zhang
DLDongfang Li
Dongfang Li
LZLili Zhao
Lili Zhao
JFJoy Fleming
Joy Fleming
NLNan Lin
Nan Lin
LBLijun Bi
Lijun Bi

27 December 2012 in Proceedings of the National Academy of Sciences
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Journal Article
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YCYujun Cui
Yujun Cui
CYChang Yu
Chang Yu
YYYanfeng Yan
Yanfeng Yan
DLDongfang Li
Dongfang Li
YLYanjun Li
Yanjun Li
Ruifu YangRuifu Yang
Ruifu Yang
The genetic diversity of Yersinia pestis , the etiologic agent of plague, is extremely limited because of its recent origin coupled with a slow clock rate. Here we identified 2,326 SNPs from 133 genomes of Y. pestis strains that were isolated in China and elsewhere. These SNPs define the genealogy of Y. pestis since its most recent common ancestor. All but 28 of these SNPs represented mutations that happened only once within the genealogy, and they were distributed essentially at random among individual genes. Only seven genes contained a significant excess of nonsynonymous SNP, suggesting that the fixation of SNPs mainly arises via neutral processes, such as genetic drift, rather than Darwinian selection. However, the rate of fixation varies dramatically over the genealogy: the number of SNPs accumulated by different lineages was highly variable and the genealogy contains multiple polytomies, one of which resulted in four branches near the time of the Black Death. We suggest that demographic changes can affect the speed of evolution in epidemic pathogens even in the absence of natural selection, and hypothesize that neutral SNPs are fixed rapidly during intermittent epidemics and outbreaks.

25 August 2011 in New England Journal of Medicine
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Journal Article
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HRHolger Rohde
Holger Rohde
JQJunjie Qin
Junjie Qin
YCYujun Cui
Yujun Cui
DLDongfang Li
Dongfang Li
NLNicholas J. Loman
Nicholas J. Loman
TCthe E. coli O104:H4 Genome Analysis Crowd-Sourcing Consortium
the E. coli O104:H4 Genome Analysis Crowd-Sourcing Consortium
An outbreak caused by Shiga-toxin–producing Escherichia coli O104:H4 occurred in Germany in May and June of 2011, with more than 3000 persons infected. Here, we report a cluster of cases associated with a single family and describe an open-source genomic analysis of an isolate from one member of the family. This analysis involved the use of rapid, bench-top DNA sequencing technology, open-source data release, and prompt crowd-sourced analyses. In less than a week, these studies revealed that the outbreak strain belonged to an enteroaggregative E. coli lineage that had acquired genes for Shiga toxin 2 and for antibiotic resistance.

21 October 2010 in The ISME Journal
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Journal Article
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HZHong-Wei Zhou
Hong-Wei Zhou
DLDongfang Li
Dongfang Li
NTNora Fung Yee Tam
Nora Fung Yee Tam
Xiao-Tao JiangXiao-Tao Jiang
Xiao-Tao Jiang
HZHai Zhang
Hai Zhang
FZFei Zou
Fei Zou
Pyrosequencing of 16S rRNA (16S) variable tags has become the most popular method for assessing microbial diversity, but the method remains costly for the evaluation of large numbers of environmental samples with high sequencing depths. We developed a barcoded Illumina paired-end (PE) sequencing (BIPES) method that sequences each 16S V6 tag from both ends on the Illumina HiSeq 2000, and the PE reads are then overlapped to obtain the V6 tag. The average accuracy of Illumina single-end (SE) reads was only 97.9%, which decreased from ∼99.9% at the start of the read to less than 85% at the end of the read; nevertheless, overlapping of the PE reads significantly increased the sequencing accuracy to 99.65% by verifying the 3′ end of each SE in which the sequencing quality was degraded. After the removal of tags with two or more mismatches within the medial 40–70 bases of the reads and of tags with any primer errors, the overall base sequencing accuracy of the BIPES reads was further increased to 99.93%. The BIPES reads reflected the amounts of the various tags in the initial template, but long tags and high GC tags were underestimated. The BIPES method yields 20–50 times more 16S V6 tags than does pyrosequencing in a single-flow cell run, and each of the BIPES reads costs less than 1/40 of a pyrosequencing read. As a laborsaving and cost-effective method, BIPES can be routinely used to analyze the microbial ecology of both environmental and human microbiomes.

13 March 2015 in PLOS Genetics
Verified
Journal Article
Open access
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XDXavier Didelot
Xavier Didelot
BPBo Pang
Bo Pang
ZZZhemin Zhou
Zhemin Zhou
AMAngela McCann
Angela McCann
PNPeixiang Ni
Peixiang Ni
BKBiao Kan
Biao Kan
Epidemics and pandemics of cholera, a severe diarrheal disease, have occurred since the early 19th century and waves of epidemic disease continue today. Cholera epidemics are caused by individual, genetically monomorphic lineages of Vibrio cholerae: the ongoing seventh pandemic, which has spread globally since 1961, is associated with lineage L2 of biotype El Tor. Previous genomic studies of the epidemiology of the seventh pandemic identified three successive sub-lineages within L2, designated waves 1 to 3, which spread globally from the Bay of Bengal on multiple occasions. However, these studies did not include samples from China, which also experienced multiple epidemics of cholera in recent decades. We sequenced the genomes of 71 strains isolated in China between 1961 and 2010, as well as eight from other sources, and compared them with 181 published genomes. The results indicated that outbreaks in China between 1960 and 1990 were associated with wave 1 whereas later outbreaks were associated with wave 2. However, the previously defined waves overlapped temporally, and are an inadequate representation of the shape of the global genealogy. We therefore suggest replacing them by a series of tightly delineated clades. Between 1960 and 1990 multiple such clades were imported into China, underwent further microevolution there and then spread to other countries. China was thus both a sink and source during the pandemic spread of V. cholerae, and needs to be included in reconstructions of the global patterns of spread of cholera. Cholera is a life-threatening, diarrheal disease caused by the bacterium Vibrio cholerae. After a long interregnum of decades without epidemics, the seventh cholera pandemic spread globally since 1961, causing considerable morbidity and mortality. Our analysis of published and newly sequenced genomes provides details on genetic groupings within V. cholerae, so-called clades, that have developed during the recent pandemic spread of these bacteria, and, in some cases, persisted to modern times. We reconstructed some of the pathways taken by the current pandemic since its origins in Indonesia, and show that both South Asia and East Asia are important pathogenic reservoirs and sources of international transmissions.