Xiang Ji

Works (3)

Updated: April 23rd, 2025 23:24

2023 article

Interlocus Gene Conversion, Natural Selection, and Paralog Homogenization

Yang, Y., Xu, T., Conant, G., Kishino, H., Thorne, J. L., & Ji, X. (2023, September 1). Molecular Biology and Evolution, Vol. 40.

By: Y. Yang n, T. Xu n, G. Conant n , H. Kishino *, J. Thorne n & X. Ji*

author keywords: interlocus gene conversion; paralog homogenization; teleost genome duplication
MeSH headings : Gene Conversion; Saccharomyces cerevisiae; Amino Acid Sequence; Genes, Duplicate; Magnoliopsida; Selection, Genetic
topics (OpenAlex): Genomics and Phylogenetic Studies; RNA and protein synthesis mechanisms; Fungal and yeast genetics research
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Sources: Web Of Science, NC State University Libraries
Added: April 1, 2024

2016 article

A Phylogenetic Approach Finds Abundant Interlocus Gene Conversion in Yeast

Ji, X., Griffing, A., & Thorne, J. L. (2016, June 13). Molecular Biology and Evolution.

By: X. Ji n, A. Griffing n & J. Thorne n

author keywords: interlocus gene conversion; multigene family evolution
MeSH headings : Base Sequence / genetics; Biological Evolution; Evolution, Molecular; Gene Conversion; Models, Genetic; Multigene Family; Nucleotides / genetics; Phylogeny; Point Mutation; Saccharomyces cerevisiae; Sequence Analysis, DNA / methods; Yeasts / genetics
topics (OpenAlex): Genomics and Phylogenetic Studies; Fungal and yeast genetics research; RNA and protein synthesis mechanisms
TL;DR: This work estimated the percentage of nucleotide substitutions that originate with an IGC event rather than a point mutation in 14 groups of yeast ribosomal protein-coding genes, and found values ranging from 20% to 38%. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2015 article

Roles of Solvent Accessibility and Gene Expression in Modeling Protein Sequence Evolution

Wang, K., Yu, S., Ji, X., Lakner, C., Griffing, A., & Thorne, J. L. (2015, January 1). Evolutionary Bioinformatics.

By: K. Wang n, S. Yu n, X. Ji n, C. Lakner n, A. Griffing n & J. Thorne n

author keywords: protein evolution; protein structure; gene expression; codon usage; scaled selection coefficient; solvent accessibility
topics (OpenAlex): RNA and protein synthesis mechanisms; Genomics and Phylogenetic Studies; Machine Learning in Bioinformatics
TL;DR: It is come to the biologically plausible conclusion that both RSA and gene expression are related to amino acid frequencies, but, among synonymous codons, the relative probability of a particular codon is more closely related to gene expression than RSA. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

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