Complete chloroplast genome of Ecklonia maxima and comparative analysis with related species

Ecklonia maxima, an ecologically and economically critical brown alga, holds substantial value in social, economic, and ecological contexts. While it is garnering growing interest for its applications in aquaculture and blue carbon sequestration, its genomic characteristics remain poorly characterized, particularly those of its chloroplast (cp.) genome, including its structure, genetic variation, and adaptive mechanisms. To address this knowledge gap, we sequenced, assembled, and annotated the complete cp. genome of E. maxima to investigate its phylogenetic relationships and conduct a comparative analysis with related species within the Ecklonia genus. We sequenced and assembled the complete cp. genome of E. maxima. The assembled genome is 130,900 bp in length and exhibits the typical quadripartite structure, consisting of a large single-copy (LSC) region of 76,991 bp, a small single-copy (SSC) region of 42,941 bp, and a pair of inverted repeat (IR) regions (each 5,484 bp). Genome annotation identified 169 genes, comprising 137 protein-coding genes (PCGs), 29 transfer RNA (tRNA) genes, and 3 ribosomal RNA (rRNA) genes. Non-coding sequences accounted for 25.27% of the genome. Simple sequence repeat (SSR) analysis revealed 47 SSRs, which were predominantly mononucleotide and tetranucleotide repeats with a distinct AT bias. Phylogenetic analysis revealed that E. maxima forms a well-supported sister group (96% bootstrap) to a clade containing its congeners E. radiata, E. cava, E. cava subsp. stolonifera and E. radicosa, indicating their close evolutionary relationship. Comparative genomic analysis among the six Ecklonia species (including E. maxima) showed high sequence conservation, with the IR regions being more conserved than the LSC and SSC regions. The Ka/Ks (nonsynonymous/synonymous substitution rate) analysis indicated that petF, rpl24, and syfB were under positive selection, while the majority of genes were under purifying selection. The signatures of positive selection and the high nucleotide diversity (e.g., petF, PI = 0.038) observed in these genes provide direct evidence supporting adaptive evolution to environmental fluctuations. The sequencing and analysis of the complete cp. genome of E. maxima in this study provide a valuable genomic resource for future studies on species identification and for elucidating the evolutionary and phylogenetic relationships among species within the genus Ecklonia.

Authors

Institutions

Publication Details

Journal
BMC Genomics
Published
2025-12-27
DOI
https://doi.org/10.1186/s12864-025-12448-2
Primary Topic
Marine and coastal plant biology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Complete chloroplast genome of Ecklonia maxima and comparative analysis with related species

Ying Ji, Kunpeng Wang, C. Qu, Yingying He et al.
BMC Genomics
Marine and coastal plant biology
article

Complete chloroplast genome of Ecklonia maxima and comparative analysis with related species

Ying Ji, Kunpeng Wang, C. Qu, Yingying He, Hancheng Zhao, Jinlai Miao
article en

Abstract

Ecklonia maxima, an ecologically and economically critical brown alga, holds substantial value in social, economic, and ecological contexts. While it is garnering growing interest for its applications in aquaculture and blue carbon sequestration, its genomic characteristics remain poorly characterized, particularly those of its chloroplast (cp.) genome, including its structure, genetic variation, and adaptive mechanisms. To address this knowledge gap, we sequenced, assembled, and annotated the complete cp. genome of E. maxima to investigate its phylogenetic relationships and conduct a comparative analysis with related species within the Ecklonia genus. We sequenced and assembled the complete cp. genome of E. maxima. The assembled genome is 130,900 bp in length and exhibits the typical quadripartite structure, consisting of a large single-copy (LSC) region of 76,991 bp, a small single-copy (SSC) region of 42,941 bp, and a pair of inverted repeat (IR) regions (each 5,484 bp). Genome annotation identified 169 genes, comprising 137 protein-coding genes (PCGs), 29 transfer RNA (tRNA) genes, and 3 ribosomal RNA (rRNA) genes. Non-coding sequences accounted for 25.27% of the genome. Simple sequence repeat (SSR) analysis revealed 47 SSRs, which were predominantly mononucleotide and tetranucleotide repeats with a distinct AT bias. Phylogenetic analysis revealed that E. maxima forms a well-supported sister group (96% bootstrap) to a clade containing its congeners E. radiata, E. cava, E. cava subsp. stolonifera and E. radicosa, indicating their close evolutionary relationship. Comparative genomic analysis among the six Ecklonia species (including E. maxima) showed high sequence conservation, with the IR regions being more conserved than the LSC and SSC regions. The Ka/Ks (nonsynonymous/synonymous substitution rate) analysis indicated that petF, rpl24, and syfB were under positive selection, while the majority of genes were under purifying selection. The signatures of positive selection and the high nucleotide diversity (e.g., petF, PI = 0.038) observed in these genes provide direct evidence supporting adaptive evolution to environmental fluctuations. The sequencing and analysis of the complete cp. genome of E. maxima in this study provide a valuable genomic resource for future studies on species identification and for elucidating the evolutionary and phylogenetic relationships among species within the genus Ecklonia.

BMC GenomicsVol. 27(1)
Ministry of Natural Resources (CN), Qingdao National Laboratory for Marine Science and Technology (CN), First Institute of Oceanography (CN), Ocean University of China (CN)
Life in Land
Openalex Percentile: Top 28%
Marine and coastal plant biology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.