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Dive into the research topics where Songnian Hu is active.

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Featured researches published by Songnian Hu.


Science | 2002

A draft sequence of the rice genome (Oryza sativa L. ssp indica)

Jun Yu; Songnian Hu; Jun Wang; Gane Ka-Shu Wong; Songgang Li; Bin Liu; Yajun Deng; Yan Zhou; Xiuqing Zhang; Mengliang Cao; Jing Liu; Jiandong Sun; Jiabin Tang; Yanjiong Chen; Xiaobing Huang; Wei Lin; Chen Ye; Wei Tong; Lijuan Cong; Jianing Geng; Yujun Han; Lin Li; Wei Li; Guangqiang Hu; Xiangang Huang; Wenjie Li; Jian Li; Zhanwei Liu; Long Li; Jianping Liu

The genome of the japonica subspecies of rice, an important cereal and model monocot, was sequenced and assembled by whole-genome shotgun sequencing. The assembled sequence covers 93% of the 420-megabase genome. Gene predictions on the assembled sequence suggest that the genome contains 32,000 to 50,000 genes. Homologs of 98% of the known maize, wheat, and barley proteins are found in rice. Synteny and gene homology between rice and the other cereal genomes are extensive, whereas synteny with Arabidopsis is limited. Assignment of candidate rice orthologs to Arabidopsis genes is possible in many cases. The rice genome sequence provides a foundation for the improvement of cereals, our most important crops.


Nature | 2013

The genomes of four tapeworm species reveal adaptations to parasitism.

Isheng J. Tsai; Magdalena Zarowiecki; Nancy Holroyd; Alejandro Garciarrubio; Alejandro Sanchez-Flores; Karen Brooks; Alan Tracey; Raúl J. Bobes; Gladis Fragoso; Edda Sciutto; Martin Aslett; Helen Beasley; Hayley M. Bennett; Jianping Cai; Federico Camicia; Richard M. Clark; Marcela Cucher; Nishadi De Silva; Tim A. Day; Peter Deplazes; Karel Estrada; Cecilia Fernández; Peter W. H. Holland; Junling Hou; Songnian Hu; Thomas Huckvale; Stacy S. Hung; Laura Kamenetzky; Jacqueline A. Keane; Ferenc Kiss

Tapeworms (Cestoda) cause neglected diseases that can be fatal and are difficult to treat, owing to inefficient drugs. Here we present an analysis of tapeworm genome sequences using the human-infective species Echinococcus multilocularis, E. granulosus, Taenia solium and the laboratory model Hymenolepis microstoma as examples. The 115- to 141-megabase genomes offer insights into the evolution of parasitism. Synteny is maintained with distantly related blood flukes but we find extreme losses of genes and pathways that are ubiquitous in other animals, including 34 homeobox families and several determinants of stem cell fate. Tapeworms have specialized detoxification pathways, metabolism that is finely tuned to rely on nutrients scavenged from their hosts, and species-specific expansions of non-canonical heat shock proteins and families of known antigens. We identify new potential drug targets, including some on which existing pharmaceuticals may act. The genomes provide a rich resource to underpin the development of urgently needed treatments and control.


Genomics, Proteomics & Bioinformatics | 2009

A Brief Review on the Mechanisms of miRNA Regulation

Yimei Cai; Xiaomin Yu; Songnian Hu; Jun Yu

MicroRNAs (miRNAs) are a class of short, endogenously-initiated non-coding RNAs that post-transcriptionally control gene expression via either translational repression or mRNA degradation. It is becoming evident that miRNAs are playing significant roles in regulatory mechanisms operating in various organisms, including developmental timing and host-pathogen interactions as well as cell differentiation, proliferation, apoptosis and tumorigenesis. Likewise, as a regulatory element, miRNA itself is coordinatively modulated by multifarious effectors when carrying out basic functions, such as SNP, miRNA editing, methylation and circadian clock. This mini-review summarized the current understanding of interactions between miRNAs and their targets, including recent advancements in deciphering the regulatory mechanisms that control the biogenesis and functionality of miRNAs in various cellular processes.


Nucleic Acids Research | 2005

The genome sequence of Salmonella enterica serovar Choleraesuis, a highly invasive and resistant zoonotic pathogen

Cheng-Hsun Chiu; Petrus Tang; Chishih Chu; Songnian Hu; Qiyu Bao; Jun-Sheng Yu; Yun-Ying Chou; Hsin-Shih Wang; Ying-Shiung Lee

Salmonella enterica serovar Choleraesuis (S.Choleraesuis), a highly invasive serovar among non-typhoidal Salmonella, usually causes sepsis or extra-intestinal focal infections in humans. S.Choleraesuis infections have now become particularly difficult to treat because of the emergence of resistance to multiple antimicrobial agents. The 4.7 Mb genome sequence of a multidrug-resistant S.Choleraesuis strain SC-B67 was determined. Genome wide comparison of three sequenced Salmonella genomes revealed that more deletion events occurred in S.Choleraesuis SC-B67 and S.Typhi CT18 relative to S.Typhimurium LT2. S.Choleraesuis has 151 pseudogenes, which, among the three Salmonella genomes, include the highest percentage of pseudogenes arising from the genes involved in bacterial chemotaxis signal-transduction pathways. Mutations in these genes may increase smooth swimming of the bacteria, potentially allowing more effective interactions with and invasion of host cells to occur. A key regulatory gene of TetR/AcrR family, acrR, was inactivated through the introduction of an internal stop codon resulting in overexpression of AcrAB that appears to be associated with ciprofloxacin resistance. While lateral gene transfer providing basic functions to allow niche expansion in the host and environment is maintained during the evolution of different serovars of Salmonella, genes providing little overall selective benefit may be lost rapidly. Our findings suggest that the formation of pseudogenes may provide a simple evolutionary pathway that complements gene acquisition to enhance virulence and antimicrobial resistance in S.Choleraesuis.


Trends in Genetics | 2008

On the nature of human housekeeping genes

Jiang Zhu; Fuhong He; Songnian Hu; Jun Yu

Using a collection of expressed sequence tag (EST) data, we re-evaluated the correlation of tissue specificity with genomic structure, phyletic age, evolutionary rate and promoter architecture of human genes. We found that housekeeping genes are less compact and older than tissue-specific genes, and they evolve more slowly in terms of both coding and core promoter sequences. Housekeeping genes primarily use CpG-dependent core promoters, whereas the majority of tissue-specific genes possess neither CpG-islands nor TATA-boxes in their core promoters.


Nucleic Acids Research | 2012

EvolView, an online tool for visualizing, annotating and managing phylogenetic trees

Huangkai Zhang; Shenghan Gao; Martin J. Lercher; Songnian Hu; Wei-Hua Chen

EvolView is a web application for visualizing, annotating and managing phylogenetic trees. First, EvolView is a phylogenetic tree viewer and customization tool; it visualizes trees in various formats, customizes them through built-in functions that can link information from external datasets, and exports the customized results to publication-ready figures. Second, EvolView is a tree and dataset management tool: users can easily organize related trees into distinct projects, add new datasets to trees and edit and manage existing trees and datasets. To make EvolView easy to use, it is equipped with an intuitive user interface. With a free account, users can save data and manipulations on the EvolView server. EvolView is freely available at: http://www.evolgenius.info/evolview.html.


Database | 2011

BioMart Central Portal: an open database network for the biological community

Jonathan M. Guberman; J. Ai; Olivier Arnaiz; Joachim Baran; Andrew Blake; Richard Baldock; Claude Chelala; David Croft; Anthony Cros; Rosalind J. Cutts; A. Di Génova; Simon A. Forbes; T. Fujisawa; Emanuela Gadaleta; David Goodstein; Gunes Gundem; Bernard Haggarty; Syed Haider; Matthew Hall; Todd W. Harris; Robin Haw; Songnian Hu; Simon J. Hubbard; Jack Hsu; Vivek Iyer; Philip Jones; Toshiaki Katayama; Rhoda Kinsella; Lei Kong; Daniel Lawson

BioMart Central Portal is a first of its kind, community-driven effort to provide unified access to dozens of biological databases spanning genomics, proteomics, model organisms, cancer data, ontology information and more. Anybody can contribute an independently maintained resource to the Central Portal, allowing it to be exposed to and shared with the research community, and linking it with the other resources in the portal. Users can take advantage of the common interface to quickly utilize different sources without learning a new system for each. The system also simplifies cross-database searches that might otherwise require several complicated steps. Several integrated tools streamline common tasks, such as converting between ID formats and retrieving sequences. The combination of a wide variety of databases, an easy-to-use interface, robust programmatic access and the array of tools make Central Portal a one-stop shop for biological data querying. Here, we describe the structure of Central Portal and show example queries to demonstrate its capabilities. Database URL: http://central.biomart.org.


Plant Physiology | 2004

A Comparison of Rice Chloroplast Genomes

Jiabin Tang; Hong’ai Xia; Mengliang Cao; Xiuqing Zhang; Wanyong Zeng; Songnian Hu; Wei Tong; Jun Wang; Jian Wang; Jun Yu; Huanming Yang; Lihuang Zhu

Using high quality sequence reads extracted from our whole genome shotgun repository, we assembled two chloroplast genome sequences from two rice (Oryza sativa) varieties, one from 93-11 (a typical indica variety) and the other from PA64S (an indica-like variety with maternal origin of japonica), which are both parental varieties of the super-hybrid rice, LYP9. Based on the patterns of high sequence coverage, we partitioned chloroplast sequence variations into two classes, intravarietal and intersubspecific polymorphisms. Intravarietal polymorphisms refer to variations within 93-11 or PA64S. Intersubspecific polymorphisms were identified by comparing the major genotypes of the two subspecies represented by 93-11 and PA64S, respectively. Some of the minor genotypes occurring as intravarietal polymorphisms in one variety existed as major genotypes in the other subspecific variety, thus giving rise to intersubspecific polymorphisms. In our study, we found that the intersubspecific variations of 93-11 (indica) and PA64S (japonica) chloroplast genomes consisted of 72 single nucleotide polymorphisms and 27 insertions or deletions. The intersubspecific polymorphism rates between 93-11 and PA64S were 0.05% for single nucleotide polymorphisms and 0.02% for insertions or deletions, nearly 8 and 10 times lower than their respective nuclear genomes. Based on the total number of nucleotide substitutions between the two chloroplast genomes, we dated the divergence of indica and japonica chloroplast genomes as occurring approximately 86,000 to 200,000 years ago.


Nature Communications | 2013

Genome sequence of the date palm Phoenix dactylifera L

Ibrahim S. Al-Mssallem; Songnian Hu; Xuegong Zhang; Qiang Lin; Wanfei Liu; Tan J; Xiaomin Yu; Junbao Liu; Linlin Pan; T. Zhang; Yuxin Yin; Chengqi Xin; Hao Wu; Guohong Zhang; Ba Abdullah Mm; Huang D; Yongjun Fang; Alnakhli Yo; Shangang Jia; An Yin; Alhuzimi Em; Alsaihati Ba; Al-Owayyed Sa; Zhao D; Shaohua Zhang; Al-Otaibi Na; Gaoyuan Sun; Majrashi Ma; Fusen Li; Tala

Date palm (Phoenix dactylifera L.) is a cultivated woody plant species with agricultural and economic importance. Here we report a genome assembly for an elite variety (Khalas), which is 605.4 Mb in size and covers >90% of the genome (~671 Mb) and >96% of its genes (~41,660 genes). Genomic sequence analysis demonstrates that P. dactylifera experienced a clear genome-wide duplication after either ancient whole genome duplications or massive segmental duplications. Genetic diversity analysis indicates that its stress resistance and sugar metabolism-related genes tend to be enriched in the chromosomal regions where the density of single-nucleotide polymorphisms is relatively low. Using transcriptomic data, we also illustrate the date palm’s unique sugar metabolism that underlies fruit development and ripening. Our large-scale genomic and transcriptomic data pave the way for further genomic studies not only on P. dactylifera but also other Arecaceae plants.


Proceedings of the National Academy of Sciences of the United States of America | 2010

Arginine methylation mediated by the Arabidopsis homolog of PRMT5 is essential for proper pre-mRNA splicing

Xian Deng; Lianfeng Gu; Chunyan Liu; Tiancong Lu; Falong Lu; Zhike Lu; Peng Cui; Yanxi Pei; Baichen Wang; Songnian Hu; Xiaofeng Cao

Protein arginine methylation, one of the most abundant and important posttranslational modifications, is involved in a multitude of biological processes in eukaryotes, such as transcriptional regulation and RNA processing. Symmetric arginine dimethylation is required for snRNP biogenesis and is assumed to be essential for pre-mRNA splicing; however, except for in vitro evidence, whether it affects splicing in vivo remains elusive. Mutation in an Arabidopsis symmetric arginine dimethyltransferase, AtPRMT5, causes pleiotropic developmental defects, including late flowering, but the underlying molecular mechanism is largely unknown. Here we show that AtPRMT5 methylates a wide spectrum of substrates, including some RNA binding or processing factors and U snRNP AtSmD1, D3, and AtLSm4 proteins, which are involved in RNA metabolism. RNA-seq analyses reveal that AtPRMT5 deficiency causes splicing defects in hundreds of genes involved in multiple biological processes. The splicing defects are identified in transcripts of several RNA processing factors involved in regulating flowering time. In particular, splicing defects at the flowering regulator FLOWERING LOCUS KH DOMAIN (FLK) in atprmt5 mutants reduce its functional transcript and protein levels, resulting in the up-regulation of a flowering repressor FLOWERING LOCUS C (FLC) and consequently late flowering. Taken together, our findings uncover an essential role for arginine methylation in proper pre-mRNA splicing that impacts diverse developmental processes.

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Jun Yu

Beijing Institute of Genomics

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Qiang Lin

Chinese Academy of Sciences

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Bing Zhang

Beijing Institute of Genomics

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Peng Cui

Beijing Institute of Genomics

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Xiaowei Zhang

King Abdulaziz City for Science and Technology

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Shuhui Song

Beijing Institute of Genomics

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Feng Ding

Beijing Institute of Genomics

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Wanfei Liu

King Abdulaziz City for Science and Technology

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Chengqi Xin

Chinese Academy of Sciences

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Jianing Geng

Chinese Academy of Sciences

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