CAS Center for Excellence in Animal Evolution and Genetics

LI Haipeng

2019-03-07 | | 【Print】

Research Interest

Professor Li Haipeng group works in the field of population genetics and bioinformatics. With regard to population genetics, our goals are to study the mechanism of recent adaptation due to positive selection in living organisms, such as humans, Drosophila and pathogens. We search for methods to detect selection which are not influenced by a high false positive rate because of the confounding impact of demography (i.e., varying population size and population structure) and genetic recombination. Our research activities can help us to understand the function of genes and the interaction between genes and environment. We are studying how natural selection has helped humans to adapt to environmental changes and especially how natural selection has accelerated the emergence of consciousness and language. In the field of bioinformatics, we develop comprehensive software to meet various needs in genetic data analysis.

Publications

Zeng L, Ming C, Li Y, Su LY, Su YH, Otecko NO, Dalecky A, Donnellan S, Aplin K, Liu XH, Song Y, Zhang ZB, Esmailizadeh A, Sohrabi SS, Nanaei HA, Liu HQ, Wang MS, Atteynine SA, Rocamora G, Brescia F, Morand S, Irwin DM, Peng MS, Yao YG, Li HP, Wu DD, Zhang YP. 2018. Out of southern East Asia of the brown rat revealed by large scale genome sequencing. Molecular biology and evolution, 35(1), 149-158.

Yang ZF, Li JR, Wiehe T, Li h. 2018. Detecting recent positive selection with a single locus test bi-partitioning the coalescent tree. Genetics, 208(2), 791-805.

Li HP, Xiang-Yu JG, Dai GY, Gu ZL, Ming C, Yang ZF, Ryder OA, Li WH, Fu YX, Zhang YP. 2016. Large numbers of vertebrates began rapid population decline in the late 19th century. Proceedings of the National Academy of Sciences of the United States of America, 113(49), 14079-14084.

Gao F, Ming C, Hu WJ, Li HP. 2016. New Software for the Fast Estimation of Population Recombination Rates (FastEPRR) in the Genomic Era. G3-Genes Genomes Genet, 6(6), 1563-1571.

Lin K, Futschik A, Li H. 2013. A Fast Estimate for the Population Recombination Rate Based on Regression. Genetics, 194(2), 473-484.

Li HP, Wiehe T. 2013. Coalescent Tree Imbalance and a Simple Test for Selective Sweeps Based on Microsatellite Variation. Plos Computational Biology, 9(5), e1003060.

Lin K, Li HP, Schlotterer C, Futschik A. 2011. Distinguishing positive selection from neutral evolution: boosting the performance of summary statistics. Genetics, 187(1), 229-244.

Li HP. 2011. A new test for detecting recent positive selection that is free from the confounding impacts of demography. Molecular biology and evolution, 28(1), 365-375.

Chen L, Feng KY, Cai YD, Chou KC, Li HP. 2010. Predicting the network of substrate-enzyme-product triads by combining compound similarity and functional domain composition. BMC bioinformatics, 11(1), 293.

Stephan W, Li HP. 2007. The recent demographic and adaptive history of Drosophila melanogaster. Heredity, 98(2), 65-68.

Li HP, Stephan W. 2006. Inferring the demographic history and rate of adaptive substitution in Drosophila. Plos Genetics, 2(10), 1580-1589.

Li HP, Stephan W. 2005. Maximum-likelihood methods for detecting recent positive selection and localizing the selected site in the genome. Genetics, 171(1), 377-384.

Li HP, Zhang YW, Zhang YP, Fu YX. 2003. Neutrality tests using DNA polymorphism from multiple samples. Genetics, 163(3), 1147-1151.

Li HP, Meng SJ, Men ZM, Fu YX, Zhang YP. 2003. Genetic diversity and population history of golden monkeys (Rhinopithecus roxellana). Genetics, 164(1), 269-275.