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Mitogenome Announcement

The complete mitochondrial genome of a wild-collected Kappaphycus malesianus (Solieriaceae, Rhodophyta)

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 359-363 | Received 10 Nov 2022, Accepted 17 Feb 2023, Published online: 10 Mar 2023

Abstract

Kappaphycus malesianus is a red seaweed farmed primarily for its carrageenan, a polysaccharide important in the food and pharmaceutical industries. Among the commercially cultivated Kappaphycus species, only K. malesianus has no mitogenome data available. Here, we assembled the mitochondrial genome of K. malesianus from next-generation sequencing data. The circular mitogenome consisted of 25,250 base pairs (bp) with a GC content of 30.25%. These values were comparable to previously sequenced solieriacean mitogenomes. Structural features, such as the stem-loop and hairpin, which were previously reported in other rhodophytes mitochondrial DNA, were also identified. The annotated genes (24 protein-coding genes, 24 tRNA genes, and 2 rRNA genes) were arranged in an order similar to the other available solieriacean mitogenomes. Lastly, phylogenetic analysis using 23 predicted protein domains showed the sister relationship of K. malesianus with other Kappaphycus species.

Introduction

Kappaphycus and Eucheuma are the most commercially important eucheumatoids. These two carrageenan-producing rhodophyte genera belong to the family Solieriaceae. They are the primary source of commercial carrageenan, a phycocolloid used in various food, pharmaceutical and material products (Guo et al. Citation2022). The food-grade carrageenan market is seen to reach a value of USD 1.2 billion by the end of 2022, and is projected to increase to USD 2.3 billion in the next decade (Future Market Insights Citation2022). Euchematoids are morphologically plastic, and their cultivars are often recognized by farmers based on visible traits such as habit, color, and branching pattern (Dumilag et al. Citation2023). The study by Roleda et al. (Citation2021) was unable to establish a link between genotype and morphology in Kappaphycus strains using the using cox1 and cox2-3 intergenic spacer sequences. Most cultivars were determined to belong to a single haplotype, which is likely due to the limited information provided by the short gene sequences (Lim et al. Citation2014; Dumilag et al. Citation2023). With the availability of genomic data, more information would be available, leading to the possibility of developing SNP markers beyond what is currently used. Among the commercially cultivated eucheumatoids, Kappaphycus malesianus J. Tan, P.E. Lim & S.M. Phang 2013 has been the least studied and has no genome data available. In this study, we present the assembled and annotated mitochondrial genome of K. malesianus.

Materials and methods

With the approval and supervision of the Local Government Unit (LGU) of Sitangkai, a specimen of K. malesianus was collected from Sapa-Sapa Bank, Sitangkai, Tawi-Tawi, Philippines (4°43'11.6’N 119°12'20.0’E). The voucher specimen () was identified as K. malesianus by R.V. Dumilag then deposited in the Mindanao State University Herbarium (MSU; [email protected]; http://sweetgum.nybg.org/science/ih/herbarium-details/?irn=259064) with the voucher number RD1484. DNA was extracted using a combination of modified CTAB (Zuccarello et al. Citation2006) and MagAttract HMW DNA kit (Qiagen) following the manufacturer’s protocols. The extracted DNA sample was sent to BGI Hong Kong for Library preparation using Illumina DNA PCR-Free Prep (Illumina, USA) and sequencing (150PE) using the Novaseq6000 platform (Illumina, USA). The complete mitogenomes of Kappaphycus striatus (NC024265) and Kappaphycus alvarezii (NC031814) were used as references during assembly and annotation. The genome was assembled using GetOrganelle (Jin et al. Citation2020) and the coverage depth was visualized using Bandage v0.8.1 (Wick et al. Citation2015). Annotations were done using AGORA (Jung et al. Citation2018) and tRNAscan-SE (Lowe and Chan Citation2016). Secondary structures were predicted using the RNAfold web server (Gruber et al. Citation2008). The final genome map was generated using OGDRAW (Greiner et al. Citation2019). To compare the gene order, Mauve 2.4.0 (Darling et al. Citation2004) was run using the progressive mode. For phylogenetic analysis, 23 mitochondrial protein sequences predicted from genes (atp4, atp6, atp8, atp9, cob, cox1, cox2, cox3, nad1, nad2, nad3, nad4, nad4L, nad5, nad6, rpl16, rps3, rps11, rps12, sdh2, sdh3, sdh4, and tatC) were aligned using Clustal Omega (Madeira et al. Citation2022) then concatenated. Gblocks 0.91b (Castresana Citation2000; Dereeper et al. Citation2008) was used to remove highly divergent regions of the alignment. The best-fit substitution model was selected using the IQ-TREE webserver (Trifinopoulos et al. Citation2016) and was determined to be MtMet + F + I + G (Le et al. Citation2017) using the Akaike information criterion (AIC). Phylogenetic trees were then inferred using maximum likelihood (ML) as implemented by IQ-TREE, and Bayesian inference (BI) using MrBayes 3.2.7 (Ronquist et al. Citation2012). The model used for BI was CpRev + I + F + G (Adachi et al. Citation2000) since MtMet was not available in MrBayes. In addition to the eucheumatoid sequences (Tablizo and Lluisma Citation2014; Li et al. Citation2018), sequences from the closely related species, Mastocarpus papillatus (Sissini et al. Citation2016), Riquetophycus sp. (Yang et al. Citation2015), and Chondrus crispus (Leblanc et al. Citation1995), were included in the phylogenetic tree construction.

Figure 1. The habit of the K. malesianus specimen RD1484 (scale bar = 5.0 cm). Photo credits: R. V. Dumilag.

Figure 1. The habit of the K. malesianus specimen RD1484 (scale bar = 5.0 cm). Photo credits: R. V. Dumilag.

Results

The K. malesianus mitogenome was assembled into a single circular structure of 25,250 bp with a depth of 144.7x (Figure S1) and a GC content of 30.25% (). Its size was longer than that of K. alvarezii and K. striatus (Tablizo and Lluisma Citation2014; Li et al. Citation2018) by 52 and 8 bp, respectively. The total number of genes was 50 (24 protein-coding genes, 24 tRNA genes and 2 rRNA genes), representing ∼94% of its total length (, S1 and S2). These genes were distributed almost evenly between the two mitochondrial DNA (mtDNA) strands, forming two transcriptional units in opposing directions (). At the junction of these units were two AT rich inverted repeats, which were also present in all the sequenced rhodophyte mitogenomes (e.g. Li et al. Citation2018). In the K. malesianus mitogenome, a 98-nucleotide stem-loop (ΔG = −67.70 kcal/mol) was found between the trnS2 and the trnA genes, while a 47-nucleotide hairpin (ΔG = −34.73 kcal/mol) was found between the cob and the trnL1 genes. The predicted protein products and their order appeared to be conserved within congeneric species (Figure S2). Similar to the other eucheumatoids, only 19 types of tRNAs were identified since the tRNA for threonine (Thr) was missing (Tablizo and Lluisma Citation2014; Li et al. Citation2018). The features of K. malesianus mitogenome as compared with those of other eucheumatoids are presented in .

Figure 2. Map of K. malesianus mitochondrial genome. Annotations outside the circle are in forward orientation, while those inside the circle are in reverse orientation. The GC content graph is illustrated inside the circle in gray.

Figure 2. Map of K. malesianus mitochondrial genome. Annotations outside the circle are in forward orientation, while those inside the circle are in reverse orientation. The GC content graph is illustrated inside the circle in gray.

Table 1. General features of the mitochondrial genomes of five eucheumatoid species.

Phylogenetic analysis shows that K. malesianus is related to K. alvarezii and K. striatus (). Similar to previous reports, which used barcoding markers (Lim et al. Citation2014), our findings indicated stronger support of the sister relationship of K. alvarezii and K. striatus than that of K. malesianus with either taxon.

Figure 3. Maximum likelihood tree of nine rhodophytes based on 23 predicted mitochondrial proteins. The numbers above each node represent support values calculated from 1000 maximum likelihood bootstraps (left) and Bayesian posterior probability (right). Asterisk indicates a value of 1.00 for both supports. The scale bar indicates the number of substitutions per site.

Figure 3. Maximum likelihood tree of nine rhodophytes based on 23 predicted mitochondrial proteins. The numbers above each node represent support values calculated from 1000 maximum likelihood bootstraps (left) and Bayesian posterior probability (right). Asterisk indicates a value of 1.00 for both supports. The scale bar indicates the number of substitutions per site.

Discussion and conclusion

The structure and organization of all the available Kappaphycus mitogenomes were conserved. The phylogenetic relationships of the farmed eucheumatoids inferred from mitochondrial proteins were consistent with previous DNA barcoding studies. Currently, the Indo-Pacific eucheumatoids are divided into five genera: Eucheuma, Betaphycus, Mimica, Kappaphycopsis, and Kappaphycus (Dumilag and Zuccarello Citation2022), with still unresolved intergeneric relationships. The inclusion of mitogenomes of other eucheumatoid taxa in future phylogenetic studies may resolve intergeneric relationships within the eucheumatoids.

Authors’ contributions

AOL, MYR, and RVD conceptualized the project. AOL and BAC designed the experiments. BAC performed the experiments and analyzed the data. BAC wrote the initial draft. AOL, MYR, and RVD revised the manuscript. All authors approved for this manuscript to be published and agreed to be accountable for all aspects of the work.

Supplemental material

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Acknowledgements

The authors are grateful to Z.-Z. Aguinaldo, S. Damsik, and J. Turong for aiding during laboratory and field works. The authors also acknowledge the LGU of Sitangkai, Tawi-Tawi for granting permission for the collection activities. This is contribution no. 495 from the University of the Philippines the Marine Science Institute (UPMSI), Diliman, Quezon City.

Disclosure statement

No potential conflict of interest was reported by the authors.

Data availability statement

The mitogenome sequence data that supported the findings in this study are openly available in GenBank of NCBI at (https://www.ncbi.nlm.nih.gov/) under accession no. OP474152. The associated BioProject, SRA, and Bio-Sample numbers are PRJNA899665, SRR22244159, and SAMN31665931, respectively.

Additional information

Funding

This work was funded by the United Kingdom Research and Innovation–Global Challenges Research Fund (UKRI-GCRF) ‘GlobalSeaweedSTAR’ Programme GSS/RF/015 [BB/P027806/1] and by the Commission on Higher Education under the Leading the Advancement of Knowledge in Agriculture and Science (CHED – LAKAS) Project, Phytochemical characterization of macroalgae for food and high-value products (PhycoPRO) (LAKAS 2021-035) awarded to MYR and RVD.

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