罗泽伟
专长理论群体与数量遗传学
个性化签名
- 姓名:罗泽伟
- 目前身份:
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学术头衔:
博士生导师, 国家杰出青年科学基金获得者,
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学科领域:
遗传学
- 研究兴趣:专长理论群体与数量遗传学
罗泽伟,男,1957年10月生。英国伯明翰大学遗传学博士。现任复旦大学遗传所教授,博士生导师。专长理论群体与数量遗传学。先后主持由国家自然科学杰出青年基金、国家自然科学基金重大、重点及面上项目、973计划、863计划、教育部以及上海市等资助的研究项目。在复杂遗传性状多基因遗传结构解析的理论与方法学研究、同源多倍体遗传连锁图构建的理论与方法学研究、重复基因表达的遗传控制与分子进化研究以及非小细胞肺癌等复杂遗传疾病的分子病因学的实验研究等领域获得了国际学术界公认的研究成果。在国际遗传学核心刊物 PNAS、Genetics、Heredity、TAG、JCEM 等刊物发表科学论文30余篇。截止至2006年2月,这些论文被SCI收录的Nature Review Genetics, Science, PNAS, Genetics, Genome Research, Development 等 77 种国际核心刊物上发表的233余篇科学论文引用共316次(他引254次)。1997年荣获国家教委科技进步二等奖,1998年荣获香港" 求是"基金会杰出青年学者奖(生物医学类), 1999年荣获上海市自然科学牡丹奖, 同年受聘教育部首批"长江"学者奖励计划特聘教授,2004年荣获上海市科技进步一等奖。
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1008
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0
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成果阅读
443
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成果数
9
罗泽伟, Z. W. Luo, *, ? E. Potokina, * A. Druka, ? R. Wise, § R. Waugh? and M. J. Kearsey*,
Genetics 176: 789-800,-0001,():
-1年11月30日
The recent development of Affymetrix chips designed from assembled EST sequences has spawned considerable interest in identifying single-feature polymorphisms (SFPs) from transcriptome data. SFPs are valuable genetic markers that potentially offer a physical link to the structural genes themselves. However, most current SFP prediction methodologies were developed for sequenced species although SFPs are particularly valuable for species with complex and unsequenced genomes. To establish the sensitivity and specificity of prediction, we explored four methods for identifying SFPs from experiments involving two tissues in two commercial barleys and their doubled-haploid progeny. The methods were compared in terms of numbers of SFPs predicted and their ability to identify known sequence polymorphisms in the features, to confirm existing SNP genotypes and to match existing maps and individual haplotypes.We identified.4000 separate SFPs that accurately predicted the SNP genotype of.98% of the doubled-haploid (DH) lines. They were highly enriched for features containing sequence polymorphisms but all methods uniformly identified a majority of SFPs (-64%) in features for which there was no sequence polymorphism while 5% mapped to different locations, indicating that "SFPs" mainly represent polymorphism in cis-acting regulators. All methods are efficient and robust at predicting markers for gene mapping.
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【期刊论文】Constructing Genetic Linkage Maps Under a Tetrasomic Model
罗泽伟, Z. W. Luo, *, ?, Ze Zhang, * Lindsey Leach, * R. M. Zhang, ? John E. Bradshaw? and M. J. Kearsey*
Genetics 172: 2635-2645,-0001,():
-1年11月30日
An international consortium has launched the whole-genome sequencing of potato, the fourth most important food crop in the world. Construction of genetic linkage maps is an inevitable step for taking advantage of the genome projects for the development of novel cultivars in the autotetraploid crop species. However, linkage analysis in autopolyploids, the kernel of linkage map construction, is theoretically challenging and methodologically unavailable in the current literature. We present here a theoretical analysis and a statistical method for tetrasomic linkage analysis with dominant and/or codominant molecular markers. The analysis reveals some essential properties of the tetrasomic model. The method accounts properly for double reduction and incomplete information of marker phenotype in regard to the corresponding phenotype in estimating the coefficients of double reduction and recombination frequency and in testing their significance by using the marker phenotype data. Computer simulation was developed to validate the analysis and the method and a case study with 201 AFLP and SSR markers scored on 228 full-sib individuals of autotetraploid potato is used to illustrate the utility of the method in map construction in autotetraploid species.
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【期刊论文】Modeling Population Genetic Data in Autotetraploid Species
罗泽伟, Z. W. Luo, , Ze Zhang, Madhav Pandey, Oliver Gailing, Hans H. Hattemer, Reiner Finkeldey
,-0001,():
-1年11月30日
Allozyme and PCR-based molecular markers have been widely used to investigate genetic diversity and population genetic structure in autotetraploid species. However, an empirical but inaccurate approach was often used to infer marker genotype from the pattern and intensity of gel bands. Obviously, this introduces serious errors in prediction of the marker genotypes and severely biases the data analysis. This paper developed a theoretical model to characterize genetic segregation of alleles at genetic marker loci, in autotetraploid populations and a novel likelihood-based method to estimate the model parameters. The model properly accounts for segregation complexities due to multiple alleles and double reduction at autotetrasomic loci in natural populations, and the method takes appropriate account for incomplete marker phenotype information with respect to genotype due to multiple dosage allele segregation at marker loci in tetraploids. The theoretical analyses were validated by making use of a computer simulation study and their utility is demonstrated by analyzing microsatellite marker data collected from two populations of sycamore maple (Acer pseudoplatanus L.), an economically important autotetraploid tree species. Numerical analyses based on simulation data indicate that the model parameters can be adequately estimated and double reduction is detected with good power using reasonable sample size.
autotetraploid species, population genetic data, EM algorithm, maximum likelihood estimates
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【期刊论文】Theoretical basis for genetic linkage analysis in autotetraploid species
罗泽伟, Z. W. Luo*??, R. M. Zhang*?, and M. J. Kearsey*
7040-7045, PNAS, May 4, 2004, vol. 101, no.18,-0001,():
-1年11月30日
Linkage analysis in autotetraploid species has been an historical challenge in quantitative genetics theory and is a stumbling block that urgently needs to be removed in the rapidly emerging genome research on this species, such as cultivated potato. This article presents theory of a full model of tetrasomic linkage and develops a statistical framework for the linkage analysis. The model considers both double reduction and recombination, the most essential features of tetrasomic inheritance with linked loci, whereas the statistical method takes appropriate account of the major complexities in analyzing both dominant and codominant molecular marker data during map reconstruction in tetraploid species. These complexities include the problems arising from multiple dosage of allelic inheritance, the null allele, allelic segregation distortion, mixed bivalent and quadrivalent pairing in meiosis, and incomplete information of marker phenotype data. The theoretical analysis established the relationship between the coefficients of double reduction at linked loci, which is essential in the present tetrasomiclinkage analysis and in assessing the impact of double reduction on the evolution of tetraploid populations. The statistical method, based on the combination of theoretical analysis and a computerbased algorithm, provided analytical tools for predicting the maximum-likelihood estimates of the model parameters. A simulation study showed the feasibility of a practical implementation of the method, detailed the procedure of the analysis, validated the power and reliability in the parameter estimation, and compared the present method with those proposed in the current literature.
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【期刊论文】Impacts of yeast metabolic network structure on enzyme evolution
罗泽伟, Chenqi Lu*, Ze Zhang?, Lindsey Leach?, MJ Kearsey? and ZW Luo*?
Genome Biology 2007, 8: 407,-0001,():
-1年11月30日
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【期刊论文】Genetic Dissection of Ethanol Tolerance in the Budding Yeast Saccharomyces cerevisiae
罗泽伟, X. H. Hu, *, M. H. Wang, T. Tan, * J. R. Li, * H. Yang, * L. Leach, ? R. M. Zhang* and Z. W. Luo*, ?,
Genetics 175: 1479-1487,-0001,():
-1年11月30日
Uncovering genetic control of variation in ethanol tolerance in natural populations of yeast Saccharomyces cerevisiae is essential for understanding the evolution of fermentation, the dominant lifestyle of the species, and for improving efficiency of selection for strains with high ethanol tolerance, a character of great economic value for the brewing and biofuel industries. To date, as many as 251 genes have been predicted to be involved in influencing this character. Candidacy of these genes was determined from a tested phenotypic effect following gene knockout, from an induced change in gene function under an ethanol stress condition, or by mutagenesis. This article represents the first genomics approach for dissecting genetic variation in ethanol tolerance between two yeast strains with a highly divergent trait phenotype. We developed a simple but reliable experimental protocol for scoring the phenotype and a set of STR/SNP markers evenly covering the whole genome.We created a mapping population comprising 319 segregants from crossing the parental strains. On the basis of the data sets, we find that the tolerance trait has a high heritability and that additive genetic variance dominates genetic variation of the trait. Segregation at five QTL detected has explained ~50% of phenotypic variation; in particular, the major QTL mapped on yeast chromosome 9 has accounted for a quarter of the phenotypic variation. We integrated the QTL analysis with the predicted candidacy of ethanol resistance genes and found that only a few of these candidates fall in the QTL regions.
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罗泽伟, Lindsey J. Leach, * Ze Zhang, * Chenqi Lu, Michael J. Kearsey, * and Zewei Luo*
Mol. Biol. Evol. 24 (11): 2556-2565. 2007,-0001,():
-1年11月30日
Expression divergence of duplicate genes is widely believed to be important for their retention and evolution of new function, although the mechanism that determines their expression divergence remains unclear. We use a genetical genomics approach to explore divergence in genetical control of yeast duplicate genes created by a whole-genome duplication that occurred about 100MYA and those with a younger duplication age. The analysis reveals that duplicate genes have a significantly higher probability of sharing common genetic control than pairs of singleton genes. The expression quantitative trait loci (eQTLs) have diverged completely for a high proportion of duplicate pairs, whereas a substantially larger proportion of duplicates share common regulatory motifs after 100 Myr of divergent evolution. The similarity in both genetical control and cis motif structure for a duplicate pair is a reflection of its evolutionary age. This study reveals that up to 20% of variation in expression between ancient duplicate gene pairs in the yeast genome can be explained by both cis motif divergence (8%) and by trans eQTL divergence (10%). Initially, divergence in all 3 aspects of cis motif structure, trans-genetical control, and expression evolves coordinately with the coding sequence divergence of both young and old duplicate pairs. These findings highlight the importance of divergence in both cis motif structure and trans-genetical control in the diverse set of mechanisms underlying the expression divergence of yeast duplicate genes.
yeast, duplication, divergence, gene expression, cis motifs, genetic regulation
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罗泽伟, Lin Xu, * Hong Chen, * Xiaohua Hu, * Rongmei Zhang, * Ze Zhang, and Z. W. Luo*
Mol. Biol. Evol. 23 (6): 1107-1108. 2006,-0001,():
-1年11月30日
Gene elongation is recognized as one of the most important steps in the evolution of functional complexities of genes (Li 1997) and in the evolution of new genes (Long et al. 2003). Zhang (2000) calculated the mean and median of the proteins from 22 species including several representative organisms such as Escherichia coli, yeast, nematode, Drosophila, humans, and Arabidopsis of which the genome sequence information was available at the time. He observed that orthologous genes are longer in eukaryotes than in prokaryotes and that eukaryote-specific proteins are longer on average than prokaryote-specific proteins. Wang, Hsieh, and Li (2005) analyzed orthologous protein data in detail by reconstructing the ancestral states among the eukaryotes under question. They found that proteins in yeast, nematode, Drosophila, humans, and Arabidopsis are, on average, longer than their orthologs in E. coli and observed conservation of protein sequence length across eukaryotic kingdoms. We present here a more general pattern of the size of coding sequence of prokaryotic and eukaryotic genes and show that the mean length of genic coding sequence (MLGCS) is highly conserved in prokaryotes and eukaryotes but diverges between the two kingdoms.
average gene length, prokaryote, eukaryote
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罗泽伟, Hong-Tao Zhang, , Xiao-Feng Chen, Ming-Hua Wang, Jiu-Cun Wang, Qing-Yuan Qi, Rong-Mei Zhang, Wei-Qing Xu, Qing-Yan Fei, Fei Wang, Qi-Qun Cheng, Feng Chen, Cheng-Song Zhu, Shi-Heng, Tao, Zewei Luo
Vol. 10, 2359-2367, April 1, 2004,-0001,():
-1年11月30日
Purpose: Reduced expression of the transforming growth factor ? receptor type II (TGF ? RII), a key inhibitor of epithelial cell growth and tumor suppressor gene, was reported frequently in many types of tumors including nonsmall cell lung cancer (NSCLC). This study explored the significance of the TGF RII gene in NSCLC carcinogenesis. Experimental Design: With 43 independent pairs of tumor and paracarcinoma tissue samples from patients with primary NSCLC, we carried out PCR-denaturing gradient gel electrophoresis screening for DNA variants over the coding sequence of the TGF ? RII gene, immunohistochemical assay of TGF ? RII expression, methylation-specific PCR analysis, and semiquantitative reverse transcription-PCR.
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