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Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
Published on: June 24, 2019
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Analysis of codon usage patterns in 48 Aconitum species
Meihua Yang1,2, Jiahao Liu1,2, Wanqing Yang1,2
1College of Pharmaceutical Science, Dali University, Dali, Yunnan, 671000, China.
BMC Genomics
|November 22, 2023
Summary
Codon usage bias in Aconitum species is primarily shaped by natural selection, favoring A/T bases. This study reveals Aconitum
Area of Science:
- Botany and Plant Science
- Molecular Evolution
- Genomics
Background:
- The Aconitum genus, part of the Ranunculaceae family, comprises 350 species globally, with 170 in China.
- Aconitum species possess significant pharmacological properties, traditionally used for pain relief.
- Codon usage bias (CUB) analysis is a valuable tool for understanding evolutionary relationships and phylogeny.
Purpose of the Study:
- To investigate codon usage bias (CUB) in 48 Aconitum species.
- To determine the factors influencing CUB within the Aconitum genus.
- To establish a foundation for future genetic and phylogenetic studies in Aconitum.
Main Methods:
- Analysis of protein-coding sequences (PCGs) from 48 Aconitum species.
- GC content analysis and relative synonymous codon usage (RSCU) heat mapping.
- Effective number of codons (ENC)-Plot and parity rule 2 (PR2)-bias plot analyses.
- Maximum Likelihood (ML) phylogenetic analysis.
Main Results:
- Aconitum species exhibit low GC content (<50%) with a bias towards A/T bases.
- Natural selection is identified as the primary driver of codon usage variation.
- Phylogenetic analysis using PCGs aligns with complete chloroplast genome data, validating PCG analysis for genus-level phylogeny.
Conclusions:
- Codon usage bias in Aconitum is predominantly influenced by natural selection.
- The study elucidates the CUB patterns in Aconitum.
- Findings provide a basis for future genetic modification and phylogenetic research in Aconitum.
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