Literature DB >> 35756452

The complete chloroplast genome of Utricularia tenuicaulis Miki (Lentibulariaceae) isolated in Korea.

Jongsun Park1,2, Hong Xi1,2, Yongsung Kim3, Sang-Tae Kim4.   

Abstract

Utricularia tenuicaulis Miki 1935 is an aquatic carnivorous plant species found in East Asia including Korea and Japan. In this study, the chloroplast genome of U. tenuicaulis was successfully sequenced. The assembled genome (153,976 bp; GC ratio, 37.0%) contains four subregions, with the large single copy (LSC; 84,596 bp; 34.9%) and small single copy (SSC; 17,946 bp; 30.5%) regions separated by 25,718 bp of inverted repeat regions (42.7%), and includes 126 genes (81 protein-coding genes, 8 rRNAs, and 37 tRNAs). Phylogenetic analyses based on the whole-chloroplast genomes of 18 species, including 17 Lentibulariaceae species and one outgroup species, suggest a close relationship between U. tenuicaulis and Utricularia macrorhiza Leconte 1824. A comparison of genomic variation between U. tenuicaulis and U. macrorhiza confirmed the validity of the specific discrimination of U. tenuicaulis.
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Entities:  

Keywords:  Chloroplast genome; Lentibulariaceae; Utricularia tenuicaulis; phylogenetic analysis

Year:  2022        PMID: 35756452      PMCID: PMC9225771          DOI: 10.1080/23802359.2022.2080597

Source DB:  PubMed          Journal:  Mitochondrial DNA B Resour        ISSN: 2380-2359            Impact factor:   0.610


Aquatic bladderworts are carnivorous plants containing air-filled floating structures (Miki 1935; Rutishauser 2016). Utricularia tenuicaulis Miki 1935 was originally described as an aquatic bladderwort distinguished from U. japonica Mak. 1914 by its slenderer scape with a hollow core (Miki 1935; Shin et al. 2006). Taxonomically, U. japonica and U. tenuicaulis were merged into U. australis R. Br. 1810 as the sterile U. australis f. australis and the fertile U. australis f. tenuicaulis by Taylor (1989), following the recommendation of Komiya and Shibata (1980). In East Asia, the distribution of U. tenuicaulis closely overlaps those of U. japonica (= U. australis f. australis) and U. macrorhiza (Kadono 1994; Komiya 1997). Following detailed morphological investigation (Kadono 1994; Shin et al. 2006) and experimental confirmation of the origin of sterile U. australis through hybridization between U. tenuicaulis and U. macrorhiza (Kameyama et al. 2005), U. tenuicaulis was reconsidered as a distinct species. This taxonomic uncertainty prevented the full evaluation of the phylogenetic position of U. tenuicaulis in a recent phylogenetic study (Silva et al. 2018). Therefore, to investigate the taxonomic status of U. tenuicaulis, which has been misidentified as U. japonica in Korea (Na et al. 2008; Park, An, et al. 2020), we obtained its complete chloroplast genome sequences from a sample collected in Korea. Total DNA (6.44 µg) was extracted from fresh leaves (600 mg) of U. tenuicaulis collected at the Saeteomal wetland at Gunpo-ro, Gyeonggi-do, Korea (37.339967°N, 126.936591°E) using a DNeasy Plant Mini Kit (Qiagen, Hilden, Germany). A voucher specimen was deposited into the InfoBoss Cyber Herbarium (IN; http://herbarium.infoboss.co.kr/; voucher no., IBS-00023; Contact: Jongsun Park; starflr@infoboss.co.kr). Genome sequencing was conducted using a HiSeq4000 system at Macrogen Inc., Korea, and de novo assembly was performed using softwares; Velvet v1.2.10 (Zerbino and Birney 2008), GapCloser v1.12 (Zhao et al. 2011), BWA v0.7.17 (Li 2013), and SAMtools v1.9 (Li et al. 2009) in the Genome Information System (GeIS) environment (http://geis.infoboss.co.kr/), which has been used in previous studies (Heo et al. 2020; Lee and Park 2021; Park, Kim, et al. 2021; Park, Min, et al. 2021). The Geneious Prime v2020.2.4 (Biomatters Ltd., Auckland, New Zealand) was used for chloroplast genome annotation based on the Pinguicula ehlersiae Speta & Fuchs chloroplast genome (NC_023463). The U. tenuicaulis chloroplast genome (GenBank accession no. MN529625) is 153,976 bp in length, with a GC ratio of 37.0%, and has four subregions; the large single copy (LSC; 84,596 bp; 34.9%) and small single copy (SSC; 17,946 bp; 30.5%) regions separated by two inverted repeats (IRs; 25,718 bp; 42.7%), including 126 genes (81 protein-coding genes, 8 rRNAs, and 37 tRNAs) in the LSC and SSC regions and 17 genes (6 protein-coding genes, 4 rRNAs, and 7 tRNAs) duplicated in the IR regions. We determined four subregions by identifying junctions of two IR regions using the program, ‘BLAST 2 Sequences’ that supports BLAST searches to find the duplicated regions. We identified 562 single-nucleotide polymorphisms (SNPs) and 302 indel regions (2,201 bp) with the comparison of U. macrorhiza (NC_025653). This indicates higher genomic variations in Utricularia species comparing to previous reports for other species; 220–520 SNPs and 125-144 indels in Castanopsis species (Park, Xi, et al. 2021), 7–27 SNPs and 19–49 indels in the Viburnum dilatatum species complex (Park, Xi, et al. 2020). 17 species in Lentibulariacea and Lippia origanoides Kunth. 1818 (Verbenaceae) as an outgroup were used for phylogenetic analysis. We used MEGAX (Kumar et al. 2018) to construct maximum-likelihood (ML) and neighbor-joining (NJ) trees and MrBayes v3.2.6 (Ronquist et al. 2012) to perform Bayesian inference (BI) after aligning the full chloroplast genomes using MAFFT v7.450 (Katoh and Standley 2013). We performed a heuristic search using nearest-neighbor interchange branch swapping, the Tamura–Nei model, and uniform rates among sites to construct ML and NJ phylogenetic trees, with default values for other options. To estimate node confidence, we performed bootstrap analyses with 1,000 and 10,000 pseudoreplicates for ML and NJ trees, respectively. For BI analysis, we used the general-time-reversible (GTR) model with gamma rates as the molecular model and a Markov chain Monte Carlo algorithm implemented for 1,100,000 generations. To build the BI consensus tree, we sampled trees every 200 generations after removing 100,000 generations as burn-in. All phylogenetic trees inferred from the ML, NJ, and BI methods showed the same topology, with three genera of Lentibulariaceae grouped with strong support (Figure 1). Our phylogenetic analysis indicated that U. tenuicaulis is closely related to but distinguished from U. macrorhiza as the phylogenetic distance between two species is similar or larger than those among Genlisea species (Figure 1).
Figure 1.

Phylogenetic tree inferred from 18 chloroplast genomes representing 17 Lentibulariaceae species and one outgroup species. The maximum likelihood (ML) tree is presented with bootstrap support values and posterior probabilities estimated using the ML search, neighbor-joining, and Bayesian inference methods.

Phylogenetic tree inferred from 18 chloroplast genomes representing 17 Lentibulariaceae species and one outgroup species. The maximum likelihood (ML) tree is presented with bootstrap support values and posterior probabilities estimated using the ML search, neighbor-joining, and Bayesian inference methods. These results suggest that U. tenuicaulis is an independent taxon, genetically distinguished from U. macrorhiza. Further sequencing analysis including a wider range of taxa is necessary to clarify the phylogenetic relationships of Utricularian species in greater detail.
  13 in total

1.  MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

Authors:  Sudhir Kumar; Glen Stecher; Michael Li; Christina Knyaz; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2018-06-01       Impact factor: 16.240

2.  Hybrid origins and F1 dominance in the free-floating, sterile bladderwort, Utricularia australis f. australis (Lentibulariaceae).

Authors:  Yoshiaki Kameyama; Masahiro Toyama; Masashi Ohara
Journal:  Am J Bot       Date:  2005-03       Impact factor: 3.844

3.  MAFFT multiple sequence alignment software version 7: improvements in performance and usability.

Authors:  Kazutaka Katoh; Daron M Standley
Journal:  Mol Biol Evol       Date:  2013-01-16       Impact factor: 16.240

4.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

5.  Optimizing de novo transcriptome assembly from short-read RNA-Seq data: a comparative study.

Authors:  Qiong-Yi Zhao; Yi Wang; Yi-Meng Kong; Da Luo; Xuan Li; Pei Hao
Journal:  BMC Bioinformatics       Date:  2011-12-14       Impact factor: 3.169

6.  MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space.

Authors:  Fredrik Ronquist; Maxim Teslenko; Paul van der Mark; Daniel L Ayres; Aaron Darling; Sebastian Höhna; Bret Larget; Liang Liu; Marc A Suchard; John P Huelsenbeck
Journal:  Syst Biol       Date:  2012-02-22       Impact factor: 15.683

7.  The complete chloroplast genome of Agrimonia pilosa Ledeb. isolated in Korea (Rosaceae): investigation of intraspecific variations on its chloroplast genomes.

Authors:  Kyeong-In Heo; Jongsun Park; Hong Xi; Juhyeon Min
Journal:  Mitochondrial DNA B Resour       Date:  2020-06-01       Impact factor: 0.658

8.  The Comparative Analyses of Six Complete Chloroplast Genomes of Morphologically Diverse Chenopodium album L. (Amaranthaceae) Collected in Korea.

Authors:  Jongsun Park; Juhyeon Min; Yongsung Kim; Youngjae Chung
Journal:  Int J Genomics       Date:  2021-04-27       Impact factor: 2.326

9.  The complete chloroplast genome sequence of new species candidate of Plantago depressa Willd. in Korea (Plantaginaceae).

Authors:  Jongsun Park; Yongsung Kim; Woochan Kwon; Hong Xi; Chan-Ho Park
Journal:  Mitochondrial DNA B Resour       Date:  2021-06-14       Impact factor: 0.658

Review 10.  Evolution of unusual morphologies in Lentibulariaceae (bladderworts and allies) and Podostemaceae (river-weeds): a pictorial report at the interface of developmental biology and morphological diversification.

Authors:  Rolf Rutishauser
Journal:  Ann Bot       Date:  2015-11-20       Impact factor: 4.357

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.