Skip to main content
Wiley Open Access Collection logoLink to Wiley Open Access Collection
. 2026 Feb 5;62(2):304–318. doi: 10.1111/jpy.70135

Plastid genome structure and phylogenomics of the freshwater red algal order Batrachospermales (Rhodophyta)

Roseanna M Crowell 1,3, Nadia M Lemes Da Silva 2, Monica O Paiano 2, Morgan L Vis 1,✉, Orlando Necchi Jr 2
PMCID: PMC13103702  PMID: 41641622

Abstract

For the freshwater red algal order Batrachospermales, the number of plastid genomes available is relatively small compared to the number of genera. Fully assembled plastid genomes can provide insights into plastid evolution and crucial data for phylogenetic reconstruction. In the present study, 18 plastid genomes were generated for a total of 40 plastid genomes from 38 species representing 18 of the 23 genera. The greatly expanded dataset allowed for comparison of the plastid genome structural characteristics with the other orders in the Nemaliophycidae and inference of the phylogenetic relationships of the genera within the order. Results showed the plastid genomes had either one or two RNA operons, and this variation could be intrageneric. All plastid genomes had the chlB gene with an intron like all Nemaliophycidae but lacked the apcF gene present in all Nemaliophycidae. The loss of the pbsA gene was variable in the Batrachospermales and the Nemaliophycidae. Phylogenetic analysis using a 126‐gene concatenated dataset produced a fully supported Batrachospermales. In addition, generally high support for the relationships among the genera resulted in the most robust phylogeny to date. Nevertheless, the phylogeny also highlighted that potentially more data will be needed to resolve the relationship among sections of Nothocladus and other related genera. Overall, the Batrachospermalean genera were split into two well‐supported lineages, which had been noted in other studies using plastid and mitochondrial genomes. However, we lack a combination of characters to distinguish these two lineages, as the morphological characters to describe taxa are shared between them.

Keywords: Batrachospermum, introns, morphology, phylogenomics, plastid genome


Abbreviations

bs

bootstrap

gDNA

genomic DNA

LCB

locally collinear block

ML

maximum likelihood

nt

nucleotides

INTRODUCTION

The number of organellar genomes, both plastid and mitochondrial, available for the Rhodophyta has been steadily growing, primarily due to the increased ease and decreased cost of high‐throughput sequencing. The increased data available from organellar genomes have been valuable for phylogenetic inference at the higher taxonomic levels (phyla and classes) in red algae (Janouškovec et al., 2013; Lee et al., 2015, 2016; Muñoz‐Gómez et al., 2017; Yang et al., 2016). Additionally, studies at lower taxonomic levels (orders and families) of red algae have also advanced due to increased data provided by organellar genome sequencing (Costa et al., 2016; da Lemes Silva et al., 2025; Díaz‐Tapia et al., 2019; Iha et al., 2018; Lee et al., 2018).

Complete plastid genome data have been used in an array of studies focused on phylogeny, structural rearrangements, and evolution of red algae (Borg et al., 2023; Costa et al., 2016; Lee et al., 2016; San et al., 2025; van Beveren et al., 2022). The conserved structure of plastid genomes in red algae along with their predominantly uniparental inheritance have made plastids the main targets for understanding the evolutionary relationships of Rhodophyta (Costa et al., 2016; Janouškovec et al., 2013). In addition, red algal plastid genomes are particularly interesting because they contain the largest gene complement among all known plastids, are compactly organized, and are slow evolving compared with other plastid‐containing lineages (Janouškovec et al., 2013).

Red algae have plastid genomes that vary greatly in size, especially in the early divergent subphyla. The plastid genome sizes typically range from 150,000 nucleotides (nt) in Cyanidioschyzon merolae (Cyanidiophyceae) to 259,000 nt in Porphyridium sordidum (Porphyridiophyceae; van Beveren et al., 2022). Notably, some members of Proteorhodophytina have the largest plastid genomes sequenced to date, from 205,000 to 1,127,000 nt (Muñoz‐Gómez et al., 2017). However, the highly morphologically diverse and species‐rich class Florideophyceae of the Eurhodophytina have plastid genomes with a much narrower size reported range (167,000–195,000 nt; Lee et al., 2016; van Beveren et al., 2022).

The number of protein‐coding genes in red algae is also the highest among algal groups (184–235; Lee et al., 2016; van Beveren et al., 2022). Plastid genomes of red algae not only have the highest gene content among eukaryotes with primary plastids (Archaeplastida), but their plastid genomes are also the most conserved (Janouškovec et al., 2013; Lee et al., 2016). Plastid genomes are highly suitable for phylogenomic studies, as they are present in multiple copies per cell, making sequences easily obtained from genomic DNA extractions. Additionally, they appear to contain sufficient phylogenetic signal to resolve relationships across various taxonomic levels (Costa et al., 2016; Iha et al., 2018; Muñoz‐Gómez et al., 2017). Studies using multiple genes or phylogenomic data have shown that addressing individual orders of Nemaliophycidae can elucidate relationships within and between closely related groups (Costa et al., 2016; Díaz‐Tapia et al., 2019; Lam et al., 2016; Paiano et al., 2017).

The strictly freshwater orders Batrachospermales, Thoreales, and Balbianiales are classified within the subclass Nemaliophycidae (Lam et al., 2016; Vis & Necchi, 2021). The order Batrachospermales (Rhodophyta) was previously divided into three families (Batrachospermaceae, Lemaneaceae, and Psilosiphonaceae, Pueschel & Cole, 1982; Sheath et al., 1996) but is currently treated as having a single family, Batrachospermaceae (Entwisle et al., 2009), with 23 genera currently recognized (Jayalakshmi & John, 2023; Necchi Jr et al., 2024; Vis & Necchi, 2021). The Batrachospermales is the most diverse group in terms of number of taxa, morphology, and reproductive characters among the exclusively freshwater orders of red algae (Entwisle et al., 2009; Kumano, 2002; Lam et al., 2016; Vis & Necchi, 2021). Although the order has been well supported in all phylogenetic analyses (Entwisle et al., 2009; Lam et al., 2016; Paiano et al., 2017; Vis & Necchi, 2021), the infraordinal classification is not yet well supported. Phylogenetic analyses have revealed two lineages containing the same set of genera in single gene (Entwisle et al., 2009), multigene (Lam et al., 2016), and (most recently) in genomic analyses (da Lemes Silva et al., 2025; Paiano et al., 2017, 2018). These two lineages may have taxonomic significance in the infraordinal rank, potentially allowing for the recognition of more than one family. A robust phylogeny, however, and an analysis of character evolution are needed to assess morphological features that can be potentially applied to recognize each clade as a family.

Despite recent advances in the study of organellar genomes, plastid genome data for Batrachospermales remain limited. Paiano et al. (2017) generated seven plastid genomes of taxa within the order, but each was related distantly to the other. Two other studies produced a single plastid genome each, and there were a few others without publications, bringing the total to 12 available in GenBank (Cho et al., 2018; Evans & Vis, 2020; Nan et al., 2017; Sayers et al., 2020). Crowell et al. (2025) recently expanded this dataset by focusing on seven closely related genera, demonstrating that whole plastid genome data can represent phylogenetic relationships among these taxa with high statistical support. In addition, genera with similar morphological characters were shown to be the most closely related (Crowell et al., 2025).

Given the well‐supported phylogeny among a small number of genera of previous studies, a more expansive approach including the majority of the genera in the Batrachospermales was undertaken. The research goals were as follows: to document the structural characteristics of the plastid genomes in the Batrachospermales for comparison with the other red algal orders in the Nemaliophycidae and to infer the phylogenetic relationships of the genera using taxon sampling that represents a broad range of vegetative and reproductive morphology within the Batrachospermales.

MATERIALS AND METHODS

Taxon sampling

A total of 18 plastid genomes were generated from 11 genera including seven genera without previously published data (Table S1). When added to previously published data for the order, the data set included 40 plastid genomes for 38 species from 18 genera, including genera representative of the wide variety of vegetative and reproductive characters of the Batrachospermales (Table 1). Each live specimen was divided into two portions: (i) immediately placed in silica gel for DNA sequencing and (ii) preserved via liquid or pressed on herbarium paper and deposited in recognized herbaria (Thiers, 2025; Table S1) for vouchering. Specimens were identified based on current diagnostic characters using recent taxonomic literature (Vis & Necchi, 2021). In addition, the morphological identifications were confirmed by comparing rbcL gene sequences with those in GenBank (Sayers et al., 2020).

TABLE 1.

Character states of genera of Batrachospermales within the two lineages shown in the phylogenetic analyses.

Genus Thallus construction Carpogonial branch Carpogonium Carposporophyte
Length a Orientation Relative length b Symmetry Arrangement Origin Position Size c
Lineage 1
Batrachospermum Bead‐like, no outer cortex Long Straight Short Symmetric Compact External Pedunculate Small
Lemanea Pseudoparenchymatous, with outer cortex Short Straight Short Putatively symmetric Compact Inside thallus Inside thallus Small
Lympha Bead‐like, no outer cortex Short Straight Short Symmetric Compact External Axial Large
Nocturama Bead‐like, no outer cortex Predominantly long Straight Short Symmetric Compact External Pedunculate Small
Nothocladus section Australasicus Bead‐like, no outer cortex Short or long Straight Short or long Symmetric Compact or diffuse External Pedunculate Small or large
Nothocladus section Kraftii Bead‐like, no outer cortex Long Straight Short Symmetric Compact External Pedunculate Small
Nothocladus section Theaquus Bead‐like, no outer cortex Short Straight Short or long Symmetric Compact External Axial Large
Paralemanea Pseudoparenchymatous, with outer cortex Short Straight Short Putatively symmetric Compact Inside thallus Inside thallus Small
Sheathia Bead‐like, no outer cortex Long Straight Short Symmetric Compact External Pedunculate Small
Sirodotia Bead‐like, no outer cortex Short Straight Short or long Asymmetric Diffuse External N/A N/A
Torularia Bead‐like, no outer cortex Short Straight Short Symmetric Compact External Axial Large
Tuomeya Pseudoparenchymatous, with outer cortex Short Contorted or curved Short Asymmetric Compact Inside thallus Axial Large
Volatus Bead‐like, no outer cortex Short Contorted or curved Short or long Asymmetric Compact External Axial Large
Lineage 2
Acarposporophycos Bead‐like, no outer cortex Short Straight Short Symmetric N/A N/A N/A N/A
Kumanoa Bead‐like, no outer cortex Short Contorted or curved Short or long Asymmetric Compact External Axial Large
Montagnia Bead‐like, no outer cortex Short Straight Short Symmetric Compact External Pedunculate Small
Notohesperus Bead‐like, no outer cortex Short Straight Short Symmetric Compact External Axial Large
Paludicola Bead‐like, no outer cortex Short Straight Long Symmetric Compact External Axial Large
Psilosiphon Pseudoparenchymatous, with outer cortex – – – – – – – –
Virescentia Bead‐like, no outer cortex Short Straight Long Symmetric Compact External Axial Large

Note: Characteristics not present in a genus are represented by “N/A” (not applicable), and if unknown, represented by “–.”

a

Carpogonial branch: short, less than one‐third of the whorl diameter; long, greater than or equal to one‐third of the whorl diameter; short carpogonial branches are typically <40 μm in length, whereas long carpogonial branches are typically ≥40 μm in length.

b

Carpogonium relative length: short, less than 1.5 times shorter than the carpogonial branch; long, greater than or equal to two times longer than the carpogonial branch. Short carpogonia are typically ≤35 μm in length, whereas long carpogonia are typically >35 μm in length.

c

Carposporophyte size: small, less than half of the whorl diameter; large, greater than half of the whorl diameter.

DNA extraction and sequencing

Three methods for extraction and sequencing were used. For 11 specimens, genomic DNA (gDNA) was extracted using the Qiagen Magattract High Molecular Weight Kit (Qiagen, Hilden, Germany), following the manufacturer's protocol. The gDNA was quantified using a Qubit 2.0 fluorometer (ThermoFisher Scientific, Waltham, Massachusetts, United States) and the Quant‐it dsDNA High‐Sensitivity Assay kit. Quality checking of gDNA was conducted in a TapeStation 4200 system (Agilent, Santa Clara, California, United States). Libraries were prepared with the Illumina DNA prep protocol, and sequencing was performed on an Illumina NextSeq 2000 platform (Illumina, San Diego, California, United States) with paired‐end sequencing producing 2 × 150 bp reads. For Montagnia australis, Paludicola communis, and Virescentia viride‐americana, the tissue was ground in liquid nitrogen, and gDNA was extracted using the Nucleospin Plant II kit (Macherey–Nagel, Düren, Germany), following the manufacturer's protocol. The gDNA quantity and quality was assessed using a Qubit 3.0 fluorometer (ThermoFisher Scientific, Waltham, Massachusetts, United States). Libraries of 200–450 nt fragments were completed using the New England BioLabs NEBNext Ultra II FS DNA Library Kit following the protocol for inputs ≤100 ng and were sequenced using the Illumina MiSeq platform (Illumina, San Diego, California, United States) with paired‐end sequences producing 2 × 150 bp reads. For Nothocladus kraftii, N. ranulifer, N. theaquus, and Notohesperus serendipidus, the material was homogenized in a bead‐beater, and a modified CTAB extraction protocol with polyvinylpyrrolidone‐10 was utilized (Schenk et al., 2023). The gDNA quantity and quality were assessed using a NanoDrop ND‐1000 spectrophotometer (ThermoFisher Scientific, Waltham, Massachusetts, United States). Sequencing of these samples was completed by SeqCenter (Pittsburgh, Pennsylvania, United States) on the Illumina NovaSeq X Plus using libraries of 280 nt fragments, generating paired‐end sequences of 2 × 150 bp reads with an Illumina DNA Prep protocol.

Plastid genome assembling and annotation

For 14 samples, the quality of trimmed Illumina reads was checked with FastQC (v0.12.1; Andrews, 2016). Illumina raw reads were trimmed with Trimmomatic version 0.39 (Bolger et al., 2014) to remove adapters and low‐quality reads, with the following parameters: ILLUMINACLIP: adapters.fa: 2:30:10; SLIDINGWINDOW: 4:20; MINLEN: 36. After trimming, the clean reads were used for the de novo plastid genome assembly. Three assemblers were used depending on the species. NOVOPlasty version 4.3.1 (Dierckxsens et al., 2017) was used with the rbcL gene sequence from closely related genera as the seed sequence for assembly, with a k‐mer size of 29 and an insert size of 300. GetOrganelle version 1.5.1c (Jin et al., 2020) was run with k‐mers 21, 45, 65, 85, and 105, along with the parameters ‐R 100 and ‐F other_pt, using closely related plastid genomes as seed references. SPAdes version 3.15.5 (Nurk et al., 2017; Prjibelski et al., 2020) was also employed. The resulting scaffolds from SPAdes were sorted using tBLASTn (e‐value: 1e‐10) against a database of plastid genomes from the same genus or, when unavailable, from closely related genera within Batrachospermales, to identify plastid genome‐related scaffolds. Plastid genome assemblies obtained with GetOrganelle and SPAdes were visualized and manually inspected using Bandage version 0.8.1 (Wick et al., 2015).

For Nothocladus kraftii, N. ranulifer, N. theaquus, and Notohesperus serendipidus, paired‐end reads were trimmed using the trim ends function in Geneious Prime 2024.0.7 with default parameters, and the first 15 million were used for a de novo assembly using low‐sensitivity parameters in Geneious Prime 2024.0.7 (Biomatters, www.geneious.com). The plastid genome of Batrachospermum gelatinosum was used as a reference to identify contigs containing plastid sequences. These plastid contigs were trimmed and de novo assembled. To close gaps in the assembled sequence, contigs were extended by iteratively mapping reads with low sensitivity and a minimum mapping quality of 30 until complete plastid genome sequences could be circularized.

For all plastid genomes, annotation was performed using MFannot (Beck & Lang, 2010) or Geneious Prime 2024.0.7. Annotations generated in MFannot were carefully reviewed and manually refined in Geneious Prime 2024.0.7 using the Find ORFs function. For plastid genomes annotated directly in Geneious Prime, all rRNA and protein‐coding genes were identified by extracting sequences from the published plastid genome of Batrachospermum gelatinosum (PX060844, Crowell et al., 2025). A second RNA operon, when present, was identified using the find repeats function in Geneious Prime with a minimum repeat length of 100 nt. If a second RNA operon was present, the large single copy (LSC) and small single copy (SSC) regions were annotated. The tRNAs were identified with tRNAscan‐SE version 2.0.7 annotator in GeSeq with default parameters (Chan & Lowe, 2019). Plastid genome maps were generated in Geneious Prime 2024.0.7 (Biomatters, www.geneious.com).

To assess the plastid genome structure and gene content within the Batrachospermales, the plastid genome annotations for the 20 previously published plastids were reviewed and updated as needed. In GenBank there were plastid data available for members of the Acrochaetiales, Balbianiales, Nemaliales, Palmariales, and Thoreales that could have been used as a comparison with the Batrachospermales. Representative plastid genomes from these orders were also reviewed and updated for comparison (Table 2 and Table S2). Synteny among Batrachospermales plastid genomes was investigated via whole plastid genome alignment with the progressiveMauve algorithm version 2.4.0 (Darling et al., 2010) within Geneious Prime using automatically calculated seed weights and automated calculation of locally collinear block (LCB) scores.

TABLE 2.

Overview of plastid genome characteristics generated in this study (in bold) and previously published for members of the Batrachospermales and other Nemaliophycidae orders.

Species Plastid genome size (nt) % GC content Protein‐coding genes YCF ORF tRNA RNA operon Intron Coverage (mean) GenBank accession number References
Batrachospermales
Acarposporophycos brasiliensis 183,356 30.6 196 18 5 31 1 1 50 PX373572 This study
Batrachospermum gelatinosum 188,711 29.5 201 20 6 32 2 1 855 PX060844 Crowell et al. (2025)
B. naiadis 188,526 29.9 201 20 6 32 2 1 2390 PX060845 Crowell et al. (2025)
B. qujingense a , b 184,902 29 201 20 6 29 2 c 1 – MN905507 Unpublished
Kumanoa ambigua a 182,932 28.2 201 21 6 31 1 1 345 MG252485 Paiano et al. (2018)
K. americana a 184,025 29.3 201 21 6 31 1 1 215 KX284725 Cho et al. (2018)
K. capensis 184,267 29.2 201 20 7 32 1 2 103 PV564056 This study
K. equisetoidea 184,008 29.3 202 21 7 31 1 2 352 PX516260 This study
K. mahlacensis a 181,368 29.8 199 21 6 31 1 1 176 MG252486 Paiano et al. (2018)
K. mahlacensis 183,893 29.6 199 19 7 31 1 1 – MK641509 Unpublished
K. procarpa 184,368 29.4 199 19 6 31 1 2 448 PX109641 This study
Lemanea borealis 188,030 30.8 200 19 6 32 2 1 614 PX060846 Crowell et al. (2025)
L. occidentalis 188,242 30.8 200 19 6 32 2 1 2275 PX060847 Crowell et al. (2025)
Lympha mucosa a , d ≥189,825 29.5 198 19 5 32 2 2 146 MN509464 Evans and Vis (2020)
Montagnia australis 179,420 28.4 193 17 5 30 1 1 65 PX147381 This study
M. macrospora 176,626 28.1 192 18 6 33 1 1 478 MG252483 Paiano et al. (2018)
Nocturama novamundensis 185,426 28.2 200 21 5 31 1 2 40 PX171394 This study
Nothocladus kraftii 184,530 28.8 200 19 6 30 1 1 999 PX672968 This study
N. ranulifer 183,398 29.3 199 20 5 30 1 1 3875 PX672969 This study
N. theaquus 187,490 29.1 199 20 6 31 2 1 12,810 PX672970 This study
Notohesperus serendipidus 183,582 28.3 193 19 4 30 1 1 19,480 PX672971 This study
Paludicola aquanigra 179,217 28.5 194 18 4 31 1 2 310 PX373573 This study
P. communis 183,091 28.6 197 20 5 30 1 1 966 PX373574 This study
P. diamantinensis 181,653 28.7 194 18 5 31 1 2 137 PX421651 This study
Paralemanea sp. a 187,837 31 201 19 6 28 2 1 364 MG252487 Paiano et al. (2018)
Pr. blumii 187,783 30.8 201 20 6 28 2 1 1320 PX060848 Crowell et al. (2025)
Pr. grandis d ≥183,183 30.3 201 20 6 28 2 1 210 PX060849 Crowell et al. (2025)
Psilosiphon scoparius 182,178 30.9 197 20 5 31 1 1 70 PX516257 This study
Sheathia dispersa e 179,671 29.1 196 18 5 31 1 1 1708 MG252488 Paiano et al. (2018)
S. dispersa 183,683 29.2 198 18 5 30 1 1 361 PX516258 This study
S. involuta 188,048 29.7 198 18 5 32 2 1 874 PX516259 This study
S. longipedicellata a , f 187,354 29.9 200 19 5 31 2 1 – KY033529 Nan et al. (2017)
Sirodotia delicatulaformis a 185,489 29.2 200 20 5 32 2 c 1 1984 MG252489 Paiano et al. (2018)
Si. suecica 186,915 29.6 200 19 6 32 2 1 6536 PX060850 Crowell et al. (2025)
Torularia puiggariana 186,712 29.1 199 20 5 32 2 1 284 PX421652 This study
Tuomeya americana 189,523 29.3 200 20 5 32 2 1 2600 PX060851 Crowell et al. (2025)
Virescentia viride‐americana 184,608 28.6 199 20 4 30 1 1 970 PX421653 This study
V. viride‐brasiliensis a 171,682 28.5 189 17 3 34 1 1 961 MG252484 Paiano et al. (2018)
Volatus carrionii 188,856 29.1 200 19 6 32 2 1 502 PX060852 Crowell et al. (2025)
V. personatus d ≥183,580 28.6 200 19 6 29 2 c 1 1858 PX060853 Crowell et al. (2025)
Acrochaetiales
Acrochaetium secundatum 192,311 32.0 206 24 6 33 2 2 – MH026107 Evans et al. (2019)
Balbianiales
Balbiania investiens 186,778 34 199 21 5 33 2 0 562 MH026108 Evans et al. (2019)
Nemaliales
Galaxaura rugosa 181,215 29.6 204 24 5 31 1 1 327 LT622865 Costa et al. (2016)
Liagora harveyana 182,933 33.9 204 23 5 31 1 1 3239 LT622869 Costa et al. (2016)
Nemalion sp. 182,930 35.5 202 24 4 31 1 1 3297 LT622871 Costa et al. (2016)
Scinaia undulata 183,795 35.9 206 24 4 31 1 1 1479 LT622873 Costa et al. (2016)
Palmariales
Palmaria palmata 192,960 33.9 204 23 5 33 2 2 343 KX284726 Cho et al. (2018)
Thoreales
Thorea hispida 175,193 28.3 193 19 3 30 1 2 1003 KX284714 Cho et al. (2018)

Abbreviations: ORF, open reading frame; YCF, Hypothetical chloroplast open reading frame.

a

Statistics reflect updated annotations made in this study.

b

Identification updated from Batrachospermum sp. to B. qujingense (Fang et al., 2020).

c

Assumed to be two operons due to at least one RNA gene duplicate.

d

Incomplete chloroplast genome.

e

Identification updated from Sheathia arcuata to S. dispersa (Vis et al., 2020).

f

Identification updated from Sheathia arcuata to S. longipedicellata (Vis et al., 2020).

Phylogenomic analyses

A total of 40 Batrachospermales sequences were used in the phylogenetic analyses. These plastid genomes included two each for Kumanoa mahlacensis and Sheathia dispersa and one each for 38 species representing 18 genera. For the outgroup, the following plastid genomes were used: Acrochaetium subsecundum (MH026107), Balbiania investiens (MH026108), Nemalion sp. (LT622871), Palmaria palmata (KX284726), and Thorea hispida (KX284714; Table 2). We used five outgroup taxa for two reasons: (1) preliminary analyses indicated that using more taxa increased branch support, and (2) the order that is most closely related to the Batrachospermales is unknown, thus having representatives of the five other orders within Nemaliophycidae with data available seemed most appropriate.

A conservative approach was taken and only genes that were present in all taxa or only missing in one taxon were considered for phylogenetic analyses. Genes missing in a single taxon were retained for analyses to maximize data from plastid genomes while still minimizing the risk of bias in the phylogenetic inference. Alignment of the individual genes was conducted in Geneious Prime using the MUSCLE v5.1 algorithm (Edgar, 2022).

Phylogenetic analyses were conducted using the genes that readily aligned, including 118 genes present in all taxa and eight genes that were present in 44 of the 45 taxa. These 126 genes were concatenated using Alignment Manipulation and Summary (AMAS; Borowiec, 2016). The final alignment was 89,919 nt in length. The best‐fit model, GTR + F + R6, was determined for the concatenated alignment using ModelFinder in IQ‐Tree version 2.3.5 (Kalyaanamoorthy et al., 2017; Minh et al., 2020). A maximum likelihood (ML) tree with 1000 ultrafast bootstraps (Hoang et al., 2018) was generated with the concatenated alignment partitioned by gene and codon in IQ‐Tree 2.3.5.

Morphological character assessment

Morphological characters for the 18 genera under investigation in the Batrachospermales were compiled from the literature (Vis & Necchi, 2021, and references therein). Within the Batrachospermales, the gametophyte thallus structure; the carpogonia and carpogonial branch morphology and size; and the carposporophyte structure, size, and placement were considered as taxonomically important. Typically, a suite of these characters distinguishes the genera from one another.

RESULTS

DNA extraction and sequencing

Three extraction and sequencing methods were used to produce the plastid genomes in this study. For species sequenced on Illumina NextSeq 2000 platform, the numbers of paired‐end reads were as follows: Acarposporophycos brasiliensis (8,450,584), Kumanoa capensis (54,966,038), K. equisetoidea (13,746,414), K. procarpa (15,863,342), Nocturama novamundensis (22,122,012), Paludicola aquanigra (4,602,468), P. diamantinensis (7,988,020), Psilosiphon scoparius (17,193,174), Sheathia dispersa (17,792,160), S. involuta (19,356,674), and Torularia puiggariana (52,463,408). For species sequenced on Illumina MiSeq platform, the number of paired reads is as follows: Montagnia australis (14,616,660), P. communis (15,265,102), and Virescentia viride‐americana (11,111,410). For samples sequenced on an Illumina NovaSeq X Plus, the number of reads was as follows: N. kraftii (105,879,318), N. ranulifer (125,797,194), N. theaquus (160,756,500), and Notohesperus serendipidus (196,152,700).

Plastid structure and genome arrangement

The 18 newly sequenced plastid genomes were fully assembled, annotated, and mapped as circular molecules (Figures S1–S18), bringing the total number of Batrachospermales plastid genomes to 40. The structure for all Batrachospermales plastid genomes was similar in size, number of genes, and GC content (Table 2). The Batrachospermales differed by <20 kb in size, ranging from 171,682 nt in Virescentia viride‐brasilensis to >189,825 nt in Lympha mucosa (mean = 184,715 ± 3519). The number of protein‐coding genes ranged from 189 in V. viride‐brasilensis to 202 in Kumanoa equisetoidea (mean = 199 ± 3). Similarly, the GC content ranged from 28.1 in Montagnia macrospora to 31.0 in Paralemanea sp. (mean = 29.3 ± 0.8). The three Paralemanaea species had the lowest number of tRNAs (28), and V. viride‐brasilensis had the highest, with 34 (mean = 31 ± 1.3). Among the Batrachospermales, the presence of one or two RNA operons was variable across taxa (Table 2). Approximately half of the taxa had two RNA operons, while the remainder lacked this feature. In taxa with two RNA operons, the plastid genome had a quadripartite structure. Both the previously published and new plastid genomes of Sheathia dispersa had two RNA operons; both plastid genomes of Kumanoa mahlacensis had only one RNA operon.

Within the Batrachospermales, taxa contained either one or two introns as well as notable patterns of gene presence or absence among the genera and species (Table 2, Table S2). For all taxa, an intron in the chlB gene was present (Figure S19). An intron was also present in a trnM gene when that gene was present in the plastid genome (Figure S20). This gene and intron were present in seven species from four genera (Figure 1, Table S2). The dfr gene was absent from the three species of Paludicola, whereas the mlaE gene was missing from all sampled species of Montagnia (n = 2), Paludicola (n = 3), and Virescentia (n = 2; Figure 1, Table S2). The pbsA gene had the broadest pattern of loss, missing from the monospecific genera Acarposporophycos, Notohesperus, and Psilosiphon, and in N. ranulifer and N. theaquus as well as all sampled species of Kumanoa (6), Montagnia (2), and Paludicola (3; Figure 1, Table S2). The hisS gene was missing from Torularia puiggariana, N. theaquus, and Psilosiphon scoparius (Figure 1, Table S2). Three local collinear blocks were predicted with the MAUVE algorithm for the 40 plastid genomes (Figure S21).

FIGURE 1.

FIGURE 1

Maximum likelihood phylogeny based on the concatenation of 126 plastid genes depicting relationships among genera in the Batrachospermales and five outgroup taxa from the Nemaliophycidae. Newly sequenced taxa in bold. Support values are ultrafast bootstraps (bs); most branches had 100 bs (not shown) and only those <100 bs are provided adjacent to the branch (in red). Most gene features that differed among taxa were added to the phylogeny; not shown are genes only present in the outgroup taxa (grx, ycf34, ycf35, ycf45) and the chlB gene because it was present in all taxa except Balbiania investiens. Select morphological characters were added to the phylogeny to illustrate characters present in both lineage 1 and 2.

The Batrachospermalean plastid genomes and the eight representatives of five orders (Acrochaetiales, Balbianiales, Nemaliales, Palmariales, and Thoreales) in the subclass Nemaliophycidae were generally similar in size and the number of protein‐coding genes (Table 2). In terms of gene content, apcF was present in the other Nemaliophycidae plastid genomes but absent from the Batrachospermales (Figure 1, Table S2). The grx gene was only present in Acrochaetium secundatum (Acrochaetiales), Balbiania investiens (Balbianiales), and Palmaria palmata (Palmariales; Table S2). The genes ycf34, ycf35, and ycf46 were absent from the Batrachospermales and Bl. investiens (Balbianiales; Table S2). Of the three genes (dfr, pbsA, and mlaE) that showed a pattern among taxa in the Batrachospermales, dfr and mlaE were present in the other Nemaliophycidae taxa (Figure 1, Table S2). The pbsA gene was missing in Thorea hispida (Thoreales) and Nemalion sp., but was present in other members of Nemaliales and Nemaliophycidae (Figure 1, Table S2). Either one or two introns were detected in all the other Nemaliophycidae plastid genomes except Bl. investiens (Balbianiales), which had none. The seven plastid genomes had the same intron in the chlB gene as in all Batrachospermales. The trnM gene was present in A. secundatum (Acrochaetiales), Pl. palmata (Palmariales), and T. hispida (Thoreales), and the intron was detected in those taxa, like in the Batrachospermales taxa (Figure 1, Table S2).

Phylogenomics

The ML tree produced from the concatenated alignment recovered a fully supported Batrachospermales ultrafast bootstrap, bs = 100; (Figure 1). In addition, there was generally high support for the relationship among the genera. There were two well‐supported (bs = 100) lineages: the first containing the genera Batrachospermum, Lemanea, Lympha, Nocturama, Nothocladus, Paralemanea, Sheathia, Sirodotia, Torularia, Tuomeya, and Volatus and the second comprising the genera Acarposporophycos, Kumanoa, Montagnia, Notohesperus, Paludicola, Psilosiphon, and Virescentia (Figure 1). Following the interpretation that any ultrafast bootstraps below 95 indicate unsupported relationships (Hoang et al., 2018), there were six branches that were not well supported (bs < 95). The placement of Tuomeya. americana as sister to Batrachospermum spp. had weak support (bs = 79). The genera Nothocladus, Torularia, Nocturama, and Sheathia formed a clade, but that clade was only moderately supported (bs = 90). Two other relationships within that clade were unsupported: Nocturama sister to Sheathia spp. (bs = 89) and Torularia sister to Nothocladus ranulifer (bs = 55; Figure 1). Among the genera in the second lineage, the sister relationship of Kumanoa and Virescentia was unsupported (bs = 60), as well as Notohesperus serendipidus as sister to Paludicola, Acarposporophycos, and Psilosiphon (bs = 57).

Morphological characters

Within the Batrachospermales, characteristics related to the gametophyte thallus, carpogonial branch, carpogonium, and carposporophytes may differentiate the genera but may also be shared among genera (Table 1). A pseudoparenchymatous gametophyte thallus was present in Tuomeya, Lemanea, and Paralemanea from lineage 1 and Psilosiphon from lineage 2 of the phylogeny (Figure 1). Three genera, Tuomeya, Volatus (lineage 1), and Kumanoa (lineage 2) had curled carpogonial branches. In lineage 1, pedunculate carposporophytes were common, being present in Batrachospermum, Nocturama, Sheathia, and Nothocladus (Sections Kraftii and Australicus) but only present in Montagnia from lineage 2. The character state of large carposporophytes was prevalent in both lineages: Tuomeya, Lympha, Volatus, Nothocladus (Sections Australicus and Theaquus), and Torularia in lineage 1 and Kumanoa, Virescentia, Notohesperus, and Paludicola in lineage 2 (Figure 1).

DISCUSSION

Plastid genome structure

Our analysis of 40 plastid genomes (including 18 newly sequenced) has expanded variations of members of the Batrachospermales for most characteristics, particularly plastid genome size, number of coding genes, and GC content, but these were all within the range reported for other orders of Nemaliophycidae (Table 2; van Beveren et al., 2022). It is noteworthy that the values for these three plastid genome characteristics were mostly close to the lowest ranges for the other orders: 171,682–189,825 in the Batrachospermales versus 181,215–192,960 nt in the other orders of Nemaliophycidae for plastid genome size, 189–202 versus 199–206 for coding genes, and 28.1%–31.0% versus 29.6%–35.9% for GC content. These data support the pattern observed by Paiano et al. (2017) that Batrachospermales plastid genomes tend to be among the smallest and least gene‐dense within the Florideophyceae.

The greatly expanded number of plastid genomes in the Batrachospermales has provided corroboration of previous observations about gene losses from the plastid genomes in the order and new insights. Paiano et al. (2017) documented the lack of apcF in the plastid genome of eight members of the order, and this finding was confirmed in the current study with 40 plastid genomes. These researchers (Paiano et al., 2017) suggested that this lack may be interpreted as a gene loss or a gene transfer to the nucleus, or potentially, the function was replaced by another type of allophycocyanin (Chang et al., 2015; Glazer et al., 1997). The new data indicate that apcF is likely lacking in the order as a whole, but which mechanism might be responsible for its lack is not clear. The gene apcF encodes the allophycocyanin beta subunit, a phycobilin component of the light‐harvesting proteins characteristic of red algae (Apt & Grossman, 1993). The hypothesis that a new type of allophycocyanin appeared in the Batrachospermales seems most likely, since a new type of phycocyanobilin‐containing phycoerythrin was described for several bluish freshwater red algae species (Glazer et al., 1997), including the “Chantransia” stages of members of Batrachospermales. For most other plastid gene losses, it is not yet possible to determine if they represent true losses or transfers to the nucleus. In addition, for these remaining genes, there is little information in the literature regarding their functional relevance. These losses have involved both members of specific gene families (e.g., ycf) and individual genes (e.g., grx) that play various roles in algal metabolism. When additional data become available for the nuclear genome, a topic we plan to investigate, a definitive answer as to whether these genes have been lost or transferred may be determined.

Within the Batrachospermales, either one or two RNA operons were present in the plastid genomes. Most taxa in lineage 1 had two operons, and all taxa in lineage 2 had one. Of the three Nothocladus species sequenced, N. kraftii had one operon whereas N. ranulifer and N. theaquus had two, but the phylogenetic relationships were not well supported. However, the genus Sheathia was monophyletic, and the number of operons differed among species, confirming that this trait can be variable within a genus. In species for which two plastid genomes were available (Sheathia dispersa and Kumanoa mahlacensis), both plastid genomes had the same number of operons, which suggests the presence of one or two RNA operons is consistent within species, even if it varies among taxa.

Duplicated rRNA operons are widespread in red algae, having been reported in four of the seven classes (Lee et al., 2016), with Compsopogonophyceae, Porphyridiophyceae, and Rhodellophyceae being the exceptions. Within the Florideophyceae, duplicated rRNA operons occur in all subclasses except the Ahnfeltiophycidae, whereas in the Nemaliophycidae, they are absent only in the Thoreales and the genus Nemalion (Nemaliales; Table 1; Lee et al., 2016). The presence of single inactivated rRNA operon or partially inactivated rRNA operons in some Florideophycean species suggests independent losses of one operon copy in these taxa (Lee et al., 2016).

Numerous gene features varied within the Batrachospermales and among the Batrachospermales and the five other Nemaliophycidae orders available for comparison. Of interest was the loss of the pbsA gene, which encodes a heme oxygenase enzyme that is activated under iron limitation (Richaud & Zabulon, 1997). Costa et al. (2016) noted its absence from some members of the Nemaliales, and Cho et al. (2018) reported its absence in Thorea hispida (Thoreales) and five species of Batrachospermales. The present study confirmed the loss of this gene in all members of Kumanoa sequenced to date (six species, seven plastid genomes); the genera Montagnia and Virescentia; two species of Nothocladus (N. ranulifer and N. theaquus); and a clade containing Paludicola, Acarposporophycos, Notohesperus, and Psilosiphon. Cho et al. (2018) hypothesized that absence of this gene may be linked to freshwater habitats in which iron is not limited, and therefore, the gene may be redundant or unnecessary. With many more plastid genomes now available, it appears to be more difficult to link the absence to freshwater habitats, as the absence of the gene has occurred in about half of the Batrachospermales sequenced to date and was present in the freshwater Balbiania investiens (Balbianiales). A trnM with an intron was present in the Batrachospermalean Nocturama novamundensis; in some species of Kumanoa and Paludicola; and in the representatives of the Thoreales, Acrochaetiales, and Palmariales. The functional role and the importance of its presence or absence are not clear at this stage.

Phylogeny

The current study has produced the most robust phylogeny of the Batrachospermales to date. Represented on the tree are 18 of the 23 genera currently recognized in the order (Vis & Necchi, 2021). In previous studies, genera were supported as monophyletic, but the relationships among the genera often had low support and could vary depending on genes and taxa sampled (Entwisle et al., 2009; Vis & Necchi, 2021).

Although most branches across the phylogeny were highly supported, Tuomeya as sister to Batrachospermum received low support. The relationship of this genus to others has been difficult to determine. Recently, da Lemes Silva et al. (2025)—using mitochondrial genomes—showed it as sister to the clade of Sirodotia, Lympha, and Volatus but with no support. Crowell et al. (2025) observed the same placement with higher support. The relationships of the monospecific genus Tuomeya may continue to be difficult to resolve, as there are no other species to add to the data set. Nevertheless, incorporating mitochondrial or nuclear genome data alongside plastid genome data in analyses could provide additional insights into the placement of Tuomeya within the order and improve support for other currently unsupported branches.

The Australasian genus Nothocladus is currently divided into four morphologically diverse sections (Entwisle et al., 2016; Vis & Necchi, 2021). The genus is often paraphyletic in phylogenetic analyses using one to many genes, especially in relation to Torularia (Entwisle et al., 2016; Vis & Necchi, 2021). In the current study, three sections (Kraftii, Australicus, and Theaquus) were placed in a clade with Torularia, rendering the genus paraphyletic. In addition, the larger clade containing Nocturama and Sheathia was not highly supported. Future research should focus on sequence data from Nothocladus section Nothocladus as well as on more species of the other sections, to clarify the relationships among the sections and determine if the sections should be elevated to genera.

Within the Batrachospermales clade, there were two well‐supported lineages that potentially might have taxonomic significance. These two lineages have been recovered in other phylogenetic studies using one to multiple genes and organellar genomes (da Lemes Silva et al., 2025; Entwisle et al., 2016; Lam et al., 2016; Paiano et al., 2017, 2018). In the present study, lineage 1 contained 11 genera, and lineage 2 has seven genera. The morphological characters used to describe taxa were shared between the two lineages. In summary, there is no single morphological character or combination of characters that could be applied to define each of these two lineages.

We were able to make comparisons in these gene features among the Batrachospermales, which now have been well sampled, with five other orders in the Nemaliophycidae that had representative plastid genomes. However, there are seven other orders in the subclass (Lam et al., 2016; Nan et al., 2017) that so far have no plastid genome sequenced. Therefore, more plastid genomes will be needed in order to describe general gene features as well as phylogenetic inferences in comparison to other orders in the Nemaliophycidae.

AUTHOR CONTRIBUTIONS

Roseanna M. Crowell: Data curation (equal); formal analysis (equal); methodology (equal); writing – original draft (equal). Nadia M. Lemes Da Silva: Data curation (equal); methodology (equal); writing – review and editing (equal). Monica O. Paiano: Data curation (equal); methodology (equal); writing – review and editing (equal). Morgan L. Vis: Conceptualization (equal); funding acquisition (equal); writing – original draft (equal). Orlando Necchi Jr.: Conceptualization (equal); funding acquisition (equal); writing – original draft (equal).

Supporting information

Figure S1. Gene map of Acarposporophycos brasiliensis plastid genome.

Figure S2. Gene map of Kumanoa capensis plastid genome.

Figure S3. Gene map of Kumanoa equisetoidea plastid genome.

Figure S4. Gene map of Kumanoa procarpa plastid genome.

Figure S5. Gene map of Montagnia australis plastid genome.

Figure S6. Gene map of Nocturama novamundensis plastid genome.

Figure S7. Gene map of Nothocladus kraftii plastid genome.

Figure S8. Gene map of Nothocladus ranulifer plastid genome.

Figure S9. Gene map of Nothocladus theaquus plastid genome.

Figure S10. Gene map of Notohesperus serendipidus plastid genome.

Figure S11. Gene map of Paludicola aquanigra plastid genome.

Figure S12. Gene map of Paludicola communis plastid genome.

Figure S13. Gene map of Paludicola diamantinensis plastid genome.

Figure S14. Gene map of Psilosiphon scoparius plastid genome.

Figure S15. Gene map of Sheathia dispersa plastid genome.

Figure S16. Gene map of Sheathia involuta plastid genome.

Figure S17. Gene map of Torularia puiggariana plastid genome.

Figure S18. Gene map of Virescentia viride‐americana plastid genome.

Figure S19. Depiction of the chlB gene with an intron that was present in all 40 Batrachospermales plastid genomes.

Figure S20. Depiction of the trnM gene with an intron.

Figure S21. Alignment of the 37 Batrachospermales plastid genomes.

JPY-62-304-s003.docx (16.4MB, docx)

Table S1. Herbarium voucher, collection information, and GenBank accession numbers for plastid genomes generated in the present study.

JPY-62-304-s001.docx (22.2KB, docx)

Table S2. Matrix of plastid genes and taxa for this study. Filled cells indicate gene presence.

JPY-62-304-s002.xlsx (46.7KB, xlsx)

ACKNOWLEDGMENTS

We would like to acknowledge colleagues who collected specimens and are listed in Table S1. We would like to thank Ellie Becklund for assistance with CTAB extractions and library preparations, the staff of the Life Sciences Core Facility (LaCTAD) from State University of Campinas (UNICAMP) for the genomic analysis, and the Center for Scientific Computing (NCC/GridUNESP) of the São Paulo State University (UNESP) for allowing the use of high‐performance computing resources. Funding sources that made this research possible were as follows: Ohio University research incentive funds to MLV, FAPESP for the grant‐in‐aid to the project (Proc. 2020/11064‐3) and Technical Training Scholarship to NMLS (Proc 2023/00544‐2), Postdoc Scholarship to MOP (Proc 2023/10342‐8), CNPq for Senior Researcher Scholarship to ON (Proc 303077/2021‐2).

Crowell, R. M. , Lemes Da Silva, N. M. , Paiano, M. O. , Vis, M. L. , & Necchi, O. Jr. (2026). Plastid genome structure and phylogenomics of the freshwater red algal order Batrachospermales (Rhodophyta). Journal of Phycology, 62, 304–318. 10.1111/jpy.70135

Editor: H. Verbruggen

REFERENCES

  1. Andrews, S. (2016). FastQC: A quality control tool for high throughput sequence data . https://www.bioinformatics.babraham.ac.uk/projects/fastqc/
  2. Apt, K. E. , & Grossman, A. R. (1993). The phycobilisome b subunit gene of allophycocyanin is located on the plastid genome in Aglaothamnion neglectum (Rhodophyta) and co‐transcribed with an unidentified open reading frame. Journal of Phycology, 29, 716–718. 10.1111/j.0022-3646.1993.00716.x [DOI] [Google Scholar]
  3. Beck, N. , & Lang, B. F. (2010). MFannot, organelle genome annotation webserver . https://github.com/BFL‐lab/Mfannot
  4. Bolger, A. M. , Lohse, M. , & Usadel, B. (2014). Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics, 30, 2114–2120. 10.1093/bioinformatics/btu170 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Borg, M. , Krueger‐Hadfield, S. A. , Destombe, C. , Collén, J. , Lipinska, A. , & Coelho, S. M. (2023). Red macroalgae in the genomic era. New Phytologist, 240, 471–488. 10.1111/nph.19211 [DOI] [PubMed] [Google Scholar]
  6. Borowiec, M. L. (2016). AMAS: A fast tool for alignment manipulation and computing of summary statistics. PeerJ, 4, e1660. 10.7717/peerj.1660 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Chan, P. P. , & Lowe, T. M. (2019). tRNAscan‐SE: Searching for tRNA genes in genomic sequences. Methods in Molecular Biology, 1962, 1–14. 10.1007/978-1-4939-9173-0_1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Chang, L. , Liu, X. , Li, Y. , Liu, C.‐C. , Zhao, J. , & Sui, S.‐F. (2015). Structural organization of an intact phycobilisome and its association with photosystem II. Cell Research, 25, 726–737. 10.1038/cr.2015.59 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Cho, C. H. , Choi, J. W. , Lam, D. W. , Kim, K. M. , & Yoon, H. S. (2018). Plastid genome analysis of three Nemaliophycidae red algal species suggests environmental adaptation for iron limited habitats. PLoS ONE, 13(5), e0196995. 10.1371/journal.pone.0196995 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Costa, J. F. , Lin, S.‐M. , Macaya, E. C. , Fernández‐García, C. , & Verbruggen, H. (2016). Chloroplast genomes as a tool to resolve red algal phylogenies: A case study in the Nemaliales. BMC Evolutionary Biology, 16(1), 205. 10.1186/s12862-016-0772-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Crowell, R. C. , Karol, K. G. , & Vis, M. L. (2025). Phylogenetic relationships among seven freshwater red algal genera in the Batrachospermaceae (Batrachospermales, Rhodophyta) using complete chloroplast genome data. Journal of Phycology, 61, 1640–1651. 10.1111/jpy.70095 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. da Lemes Silva, N. M. , Crowell, R. M. , Vis, M. L. , Chiasson, W. B. , Paiano, M. O. , Lopes, Y. M. S. , & Necchi, O., Jr. (2025). Investigation of mitochondrial genomes of members of the order Batrachospermales (Rhodophyta). Phycologia, 64(2), 118–126. 10.1080/00318884.2025.2473285 [DOI] [Google Scholar]
  13. Darling, A. E. , Mau, B. , & Perna, N. T. (2010). progressiveMauve: Multiple genome alignment with gene gain, loss and rearrangement. PLoS ONE, 5(6), e11147. 10.1371/journal.pone.0011147 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Díaz‐Tapia, P. , Pasella, M. M. , Verbruggen, H. , & Maggs, C. A. (2019). Morphological evolution and classification of the red algal order Ceramiales inferred using plastid phylogenomics. Molecular Phylogenetics and Evolution, 137, 76–85. 10.1016/j.ympev.2019.04.022 [DOI] [PubMed] [Google Scholar]
  15. Dierckxsens, N. , Mardulyn, P. , & Smits, G. (2017). NOVOPlasty: De novo assembly of organelle genomes from whole genome data. Nucleic Acids Research, 45(4), e18. 10.1093/nar/gkw955 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Edgar, R. C. (2022). Muscle5: High‐accuracy alignment ensembles enable unbiased assessments of sequence homology and phylogeny. Nature Communications, 13(1), 6968. 10.1038/s41467-022-34630-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Entwisle, T. J. , Johnston, E. T. , Lam, D. W. , Stewart, S. A. , & Vis, M. L. (2016). Nocturama gen. nov., Nothocladus s. lat. and other taxonomic novelties resulting from the further resolution of paraphyly in Australasian members of Batrachospermum (Batrachospermales, Rhodophyta). Journal of Phycology, 52, 384–396. 10.1111/jpy.12401 [DOI] [PubMed] [Google Scholar]
  18. Entwisle, T. J. , Vis, M. L. , Chiasson, W. B. , Necchi, O. , & Sherwood, A. R. (2009). Systematics of the Batrachospermales (Rhodophyta)—a synthesis. Journal of Phycology, 45, 704–715. 10.1111/j.1529-8817.2009.00686.x [DOI] [PubMed] [Google Scholar]
  19. Evans, J. R. , & Vis, M. L. (2020). Relative expression analysis of light‐harvesting genes in the freshwater alga Lympha mucosa (Batrachospermales, Rhodophyta). Journal of Phycology, 56(2), 540–548. 10.1111/jpy.12967 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Evans, J. R. , St. Amour, N. , Verbruggen, H. , Salomaki, E. D. , & Vis, M. L. (2019). Chloroplast and mitochondrial genomes of Balbiania investiens (Balbianiales, Nemaliophycidae). Phycologia, 58(3), 310–318. 10.1080/00318884.2019.1573349 [DOI] [Google Scholar]
  21. Fang, K. , Nan, F. , Feng, J. , Lv, J.‐P. , Liu, Q. , Liu, X. , & Xie, S. (2020). Batrachospermum qujingense (Batrachospermales, Rhodophyta), a new freshwater red algal species from Southwest China. Phytotaxa, 461, 1–11. 10.11646/phytotaxa.461.1.1 [DOI] [Google Scholar]
  22. Glazer, A. N. , Chan, C. F. , & West, J. A. (1997). An unusual phycocyanobilin‐containing phycoerythrin of several bluish colored acrochaetioid, freshwater red algal species. Journal of Phycology, 3, 617–624. 10.1111/j.0022-3646.1997.00617.x [DOI] [Google Scholar]
  23. Hoang, D. T. , Chernomor, O. , von Haeseler, A. , Minh, B. Q. , & Vinh, L. S. (2018). UFBoot2: Improving the ultrafast bootstrap approximation. Molecular Biology and Evolution, 35(2), 518–522. 10.1093/molbev/msx281 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Iha, C. , Grassa, C. J. , Lyra, G. M. , Davis, C. C. , Verbruggen, H. , Oliveira, M. C. , & Müller, K. (2018). Organellar genomics: A useful tool to study evolutionary relationships and molecular evolution in Gracilariaceae (Rhodophyta). Journal of Phycology, 54, 775–787. 10.1111/jpy.12765 [DOI] [PubMed] [Google Scholar]
  25. Janouškovec, J. , Liu, S.‐L. , Martone, P. T. , Carré, W. , Leblanc, C. , Collén, J. , & Keeling, P. J. (2013). Evolution of red algal plastid genomes: Ancient architectures, introns, horizontal gene transfer, and taxonomic utility of plastid markers. PLoS ONE, 8(3), e59001. 10.1371/journal.pone.0059001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Jayalakshmi, P. S. , & John, J. (2023). Macrosporophycos sahyadricus (Batrachospermales, Rhodophyta), a new genus and species of freshwater red algae from the Western Ghats of India. Phycologia, 62(2), 109–116. 10.1080/00318884.2023.2177062 [DOI] [Google Scholar]
  27. Jin, J.‐J. , Yu, W. B. , Yang, J. B. , Song, Y. , Pamphilis, C. W. , Yi, T. S. , & Li, D. Z. (2020). GetOrganelle: A fast and versatile toolkit for accurate de novo assembly of organelle genomes. Genome Biology, 21, 241. 10.1186/s13059-020-02154-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Kalyaanamoorthy, S. , Minh, B. Q. , Wong, T. K. F. , von Haeseler, A. , & Jermiin, L. S. (2017). ModelFinder: Fast model selection for accurate phylogenetic estimates. Nature Methods, 14(6), 587–589. 10.1038/nmeth.4285 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Kumano, S. (2002). Freshwater red algae of the world. Biopress. [Google Scholar]
  30. Lam, D. W. , Verbruggen, H. , Saunders, G. W. , & Vis, M. L. (2016). Multigene phylogeny of the red algal subclass Nemaliophycidae. Molecular Phylogenetics and Evolution, 94(Pt B), 730–736. 10.1016/j.ympev.2015.10.015 [DOI] [PubMed] [Google Scholar]
  31. Lee, J. M. , Boo, S. M. , Mansilla, A. , & Yoon, H. S. (2015). Unique repeat and plasmid sequences in the mitochondrial genome of Gracilaria chilensis (Gracilariales, Rhodophyta). Phycologia, 54(54), 20–23. 10.2216/PH14-97.1 [DOI] [Google Scholar]
  32. Lee, J. M. , Cho, C. H. , Park, S. I. , Choi, J. W. , song, H. S. , West, J. A. , Bhattacharya, D. , & Yoon, H. S. (2016). Parallel evolution of highly conserved plastid genome architecture in red seaweeds and seed plants. BMC Biology, 14, 75. 10.1186/s12915-016-0299-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Lee, J. M. , Song, H. J. , Park, S. I. , Lee, Y. M. , Jeong, S. Y. , Cho, T. O. , Yoon, H. S. , Choi, H.‐G. , Choi, C. G. , Nelson, W. A. , Fredericq, S. , Bhattacharya, D. , & Yoon, H. S. (2018). Mitochondrial and plastid genomes from coralline red algae provide insights into the incongruent evolutionary histories of organelles. Genome Biology and Evolution, 10, 2961–2972. 10.1093/gbe/evy222 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Minh, B. Q. , Schmidt, H. A. , Chernomor, O. , Schrempf, D. , Woodhams, M. D. , von Haeseler, A. , & Lanfear, R. (2020). IQ‐TREE 2: New models and efficient methods for phylogenetic inference in the genomic era. Molecular Biology and Evolution, 37(5), 1530–1534. 10.1093/molbev/msaa015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Muñoz‐Gómez, S. , Mejía‐Franco, F. G. , Durnin, K. , Colps, M. , Grisdale, C. J. , Archibald, J. M. , & Slamovits, C. H. (2017). The new red algal subphylum Proteorhodophytina comprises the largest and most divergent plastid genomes known. Current Biology, 27, 1677–1684. 10.1016/j.cub.2017.04.054 [DOI] [PubMed] [Google Scholar]
  36. Nan, F. , Feng, J. , Liu, Q. , Fang, K. , Gong, C. , & Xie, S. (2017). Origin and evolutionary history of freshwater Rhodophyta: Further insights based on phylogenomic evidence. Scientific Reports, 7, 2394. 10.1038/s41598-017-03235-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Necchi, O., Jr. , Entwisle, T. J. , Lopes, Y. M. S. , & Vis, M. L. (2024). Reappraisal of the genus Visia (Batrachospermales, Rhodophyta) and proposal for a new genus and species. Phycologia, 63(3), 271–277. 10.1080/00318884.2024.2330108 [DOI] [Google Scholar]
  38. Nurk, S. , Meleshko, D. , Korobeynikov, A. , & Pevzner, P. A. (2017). metaSPAdes: A new versatile metagenomic assembler. Genome Research, 27, 824–834. 10.1101/gr.213959.11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Paiano, M. O. , Del Cortona, A. , Costa, J. F. , Liu, S.‐L. , Verbrugen, H. , De Clerck, O. , & Necchi, O. (2018). Complete mitochondrial genomes of six species of the freshwater red algal order Batrachospermales (Rhodophyta). Mitochondrial DNA. Part B, Resources, 2, 607–610. 10.1080/23802359.2018.1473734 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Paiano, M. O. , Del Cortona, A. , Costa, J. F. , Liu, S.‐L. , Verbruggen, H. , De Clerck, O. , & Necchi, O., Jr. (2017). Organization of plastid genomes in the freshwater red algal order Batrachospermales (Rhodophyta). Journal of Phycology, 54(1), 25–33. 10.1111/jpy.12602 [DOI] [PubMed] [Google Scholar]
  41. Prjibelski, A. , Antipov, D. , Meleshko, D. , Lapidus, A. , & Korobeynikov, A. (2020). Using SPAdes de novo assembler. Current Protocols in Bioinformatics, 70, e102. 10.1002/cpbi.102 [DOI] [PubMed] [Google Scholar]
  42. Pueschel, C. M. , & Cole, K. M. (1982). Rhodophycean pit plugs: An ultrastructural survey with taxonomic implications. American Journal of Botany, 69, 703–720. 10.1002/j.1537-2197.1982.tb13310.x [DOI] [Google Scholar]
  43. Richaud, C. , & Zabulon, G. (1997). The heme oxygenase gene (pbsA) in the red alga Rhodella violacea is discontinuous and transcriptionally activated during iron limitation. Proceedings of the National Academy of Sciences, 94, 11736–11741. https://www.pnas.org/doi/10.1073/pnas.94.21.11736 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. San, M. H. , Kawamura, Y. , Kimura, K. , Witharana, E. P. , Shimogiri, T. , Fujiyoshi, E. , & Nagano, Y. (2025). Gene tree conflict in chloroplast‐based phylogenies in Pyropia species. Phycological Research, 73, 79–91. 10.1111/pre.12576 [DOI] [Google Scholar]
  45. Sayers, E. W. , Cavanaugh, M. , Clark, K. , Ostell, J. , Pruitt, K. D. , & Karsch‐Mizrachi, I. (2020). GenBank. Nucleic Acids Research, 48, D84–D86. 10.1093/nar/gkz956 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Schenk, J. J. , Becklund, L. E. , Carey, S. J. , & Fabre, P. P. (2023). What is the “modified” CTAB protocol? Characterizing modifications to the CTAB DNA extraction protocol. Applications in Plant Sciences, 11(3), e11517. 10.1002/aps3.11517 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Sheath, R. G. , Müller, K. M. , Vis, M. L. , & Entwisle, T. J. (1996). A re‐examination of the morphology, ultrastructure and classification of genera in the Lemaneaceae (Batrachospermales, Rhodophyta). Phycological Research, 44, 233–246. 10.1111/j.1440-1835.1996.tb00053.x [DOI] [Google Scholar]
  48. Thiers, B. M. (2025, updated continuously). Index Herbariorum . https://sweetgum.nybg.org/science/ih/
  49. van Beveren, F. , Eme, L. , López‐García, P. , Ciobanu, M. , Moreira, D. , & Sloan, D. (2022). Independent size expansions and intron proliferation in red algal plastid and mitochondrial genomes. Genome Biology and Evolution, 14, evac037. 10.1093/gbe/evac037 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Vis, M. L. , & Necchi, O., Jr. (2021). Freshwater red algae: Phylogeny, taxonomy and biogeography. Springer. 10.1007/978-3-030-83970-3 [DOI] [Google Scholar]
  51. Vis, M. L. , Tiwari, S. , Evans, J. R. , Stancheva, R. , Sheath, R. G. , Kennedy, B. , Lee, J. , & Eloranta, P. (2020). Revealing hidden diversity in the Sheathia arcuata morphospecies (Batrachospermales, Rhodophyta) including four new species. Algae, 35(3), 213–224. 10.4490/algae.2020.35.8.31 [DOI] [Google Scholar]
  52. Wick, R. R. , Schultz, M. B. , Zobel, J. , & Holt, K. E. (2015). Bandage: Interactive visualization of de novo genome assemblies. Bioinformatics, 31, 3350–3352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Yang, E. C. , Boo, S. M. , Bhattacharya, D. , Saunders, G. W. , Knoll, A. H. , Fredericq, S. , Graf, L. , & Yoon, H. S. (2016). Divergence time estimates and the evolution of major lineages in the florideophyte red algae. Scientific Reports, 6, 21361. 10.1038/srep21361 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1. Gene map of Acarposporophycos brasiliensis plastid genome.

Figure S2. Gene map of Kumanoa capensis plastid genome.

Figure S3. Gene map of Kumanoa equisetoidea plastid genome.

Figure S4. Gene map of Kumanoa procarpa plastid genome.

Figure S5. Gene map of Montagnia australis plastid genome.

Figure S6. Gene map of Nocturama novamundensis plastid genome.

Figure S7. Gene map of Nothocladus kraftii plastid genome.

Figure S8. Gene map of Nothocladus ranulifer plastid genome.

Figure S9. Gene map of Nothocladus theaquus plastid genome.

Figure S10. Gene map of Notohesperus serendipidus plastid genome.

Figure S11. Gene map of Paludicola aquanigra plastid genome.

Figure S12. Gene map of Paludicola communis plastid genome.

Figure S13. Gene map of Paludicola diamantinensis plastid genome.

Figure S14. Gene map of Psilosiphon scoparius plastid genome.

Figure S15. Gene map of Sheathia dispersa plastid genome.

Figure S16. Gene map of Sheathia involuta plastid genome.

Figure S17. Gene map of Torularia puiggariana plastid genome.

Figure S18. Gene map of Virescentia viride‐americana plastid genome.

Figure S19. Depiction of the chlB gene with an intron that was present in all 40 Batrachospermales plastid genomes.

Figure S20. Depiction of the trnM gene with an intron.

Figure S21. Alignment of the 37 Batrachospermales plastid genomes.

JPY-62-304-s003.docx (16.4MB, docx)

Table S1. Herbarium voucher, collection information, and GenBank accession numbers for plastid genomes generated in the present study.

JPY-62-304-s001.docx (22.2KB, docx)

Table S2. Matrix of plastid genes and taxa for this study. Filled cells indicate gene presence.

JPY-62-304-s002.xlsx (46.7KB, xlsx)

Articles from Journal of Phycology are provided here courtesy of Wiley

RESOURCES