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- Mitochondrial DNA B Resour
- v.6(10); 2021
- PMC8425772
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Mitochondrial DNA B Resour. 2021; 6(10): 2838–2840.
Published online 2021 Sep 6. doi:10.1080/23802359.2021.1964396
PMCID: PMC8425772
PMID: 34514146
Jiayu Ma,a Junmin Wang,a Congying Li,b Jie Liu,c Can Chen,a and Yan Huaa
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- Data Availability Statement
Abstract
Polygala crotalarioides Buch.-Ham. ex DC. (Polygalaceae) is a perennial herbaceous plant widely distributed in southwest China. Its chloroplast genome sequence was obtained using Illumina NovaSeq sequencing technology, and then was assembled, annotated, and characterized. The total length of chloroplast genome is 164,269 bp and it contained a large (LCS, 82,697 bp) and a small (SSC, 8083 bp) single copy region, separated by a pair of inverted repeats (IRA/IRB, 36,744 bp). The overall GC content of genome was 36.8% and corresponding values of the LSC, SSC, and IR regions are 34.9%, 29.5%, and 39.7%, respectively. There are 135 genes that were predicted including 89 protein-coding, 38 tRNA, and 8 rRNA genes. The maximum-likelihood (ML) phylogenetic tree reconstructed by IQ-TREE indicated that P. crotalarioides had a strong genetic relationship with P. tenuifolia, P. sibirica, and P. japonica. In summary, the complete chloroplast genome of P. crotalarioides is reported for the first time, which is of great significance for future research on the evolutionary phylogeny and protection of Polygala.
Keywords: Chloroplast genome, phylogenetic analysis, Polygala crotalarioides
Polygala crotalarioides is a perennial herb classified in the Polygalaceae. It is distributed in southwest and southern China and is an endangered species (Zhang etal. 2002). Polygala crotalarioides is considered a rare Chinese herbal medicine used by the Wa people from the Yunnan Province. This plant has excellent biological activities and is widely used in folk to fight fatigue (Xiang and Zhang 1995), calm the mind, and tonic the heart. Research shows that P. crotalarioides has anti-oxidative and anti-fatigue effects and improves the body’s ability to adapt to stress (Liu and Ma 2014). Analysis of the chloroplast genome will contribute to the bioinformatics and evolutionary history of this species.
Chloroplast genomes can provide reliable data to determine genetic and evolutionary relationships in plants (Kugita etal. 2003). So far, complete chloroplast genomes of several species from the Polygalaceae have been studied and deposited in GenBank, including P. japonica (Zuo etal. 2021). At present, the chloroplast genome of P. crotalarioides has not been deciphered. In this paper, we assembled and annotated the chloroplast genome of P. crotalarioides using high-throughput sequencing. These data provide a reference for further molecular research on the taxonomy and evolutionary systematic of the Polygalaceae.
Fresh leaves of P. crotalarioides were collected from Shuangjiang County (Yunnan, China; geospatial coordinates: 99.844°E, 23.514°N; Altitude: 1015.9 m). The total genomic DNA was extracted using the Magnetic beads plant genomic DNA preps Kit (Annoroad Biological Technology, Yiwu, China). The herbarium specimen was deposited at the Herbarium of Southwest Forestry University Southwest Forestry University, Kunming, China (http://bbg.swfu.edu.cn/, Shuang-Zhi Li, moc.361@327nwad) under the voucher number PC20200910-5.
The Illumina NovaSeq 6000 platform was used for sequencing and the read length was 150 bp paired end. The filtered chloroplast reads were assembled from scratch using GetOrganelle. Then, we selected P. tenuifolia as the reference sequence, using Geneious R8 (Biomatters Ltd, Auckland, New Zealand), assembled, and performed the annotation of the complete chloroplast genome. Finally, the chloroplast DNA sequence and complete annotation were deposited in GenBank under accession number MW543308.1.
The chloroplast genome is 164,268 bp in length and consists of an LSC (82,697 bp) and SSC (8,083 bp), separated by two inverted repeats (36,744 bp). The total GC content in the LSC (34.9%) and SSC (29.5%) was 36.8%, which was lower than that in the IR regions (39.7%). The circular genome contains 135 genes, including 89 protein-coding (PCG), 38 tRNA, and 8 rRNA genes. Among the 135 annotated genes, there are 84 single copy genes and 25 duplicate genes. The protein-coding genes, tRNA and rRNA of P. crotalarioides chloroplast genome are identical in quantity with P. japonica, but they are different in total length, total GC content, etc., which may be caused by differences in species and gene richness (Zuo etal. 2021).
To uncover the phylogenetic relationship of P. crotalarioides in Polygalaceae family, the chloroplast genome sequences of 14 plants including P. crotalarioides were selected to construct the phylogenetic trees. The alignment of all cp genomes was done by the MAFFT version 7 software (Katoh and Standley 2013), which was analyzed by IQ-TREE 1.5.5 (Nguyen etal. 2015) under the TVM + F+R2 nucleotide substitution model (Kalyaanamoorthy etal. 2017). The phylogenetic analysis 1000 bootstrapping replicates was performed based on the maximum likelihood (ML) tree. Phylogenetic analysis showed that Polygala crotalarioides was strongly related to P. tenuifolia, P. sibirica, and P. japonica with 100% bootstrap support (Figure 1). Among them, the chloroplast structure of P. crotalarioides we studied was highly consistent with that of P. tenuifolia of the same genus previously published (Lee etal. 2020). In conclusion, the complete chloroplast genome of P. crotalarioides provides useful DNA data for further biological analysis and the evolutionary phylogenetics of the Polygalaceae.
Figure 1.
Neighbor-Joining tree of P. crotalarioides and related species using chloroplast sequences.
Funding Statement
The study was supported by the Fund of Yunnan Agricultural Foundation [Project No. 2017FG001(-047)] and Project of the Yunnan Forest Resources Cultivation and Utilization Collaborative Innovation Center [Project No. 501355].
Disclosure statement
No potential conflict of interest was reported by the author(s).
Data availability statement
The genome sequence data that support the findings of this study are openly available in GenBank of NCBI at [https://www.ncbi.nlm.nih.gov] under the accession number MW543308.1. The associated BioProject, SRA, and Bio-Sample numbers are PRJNA732229, SRR14679146, and SAMN19314347 respectively.
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