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Quillworts from the Amazon: A multidisciplinary populational study on Isoetes serracarajensis and Isoetes cangae

  • Gisele Lopes Nunes,

    Roles Conceptualization, Data curation, Formal analysis, Writing – original draft, Writing – review & editing

    Affiliation Environmental Genomics Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  • Renato Renison Moreira Oliveira,

    Roles Data curation, Formal analysis

    Affiliation Environmental Genomics Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  • José Tasso Felix Guimarães,

    Roles Conceptualization, Formal analysis, Investigation, Resources, Validation, Visualization, Writing – original draft

    Affiliation Environmental Geology and Water Resources Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  • Ana Maria Giulietti,

    Roles Conceptualization, Investigation, Methodology, Resources, Writing – original draft

    Affiliation Biodiversity and Ecosystems Services Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  • Cecílio Caldeira,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Writing – original draft

    Affiliation Environmental Technology Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  • Santelmo Vasconcelos,

    Roles Formal analysis, Methodology, Writing – original draft

    Affiliation Environmental Genomics Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  • Eder Pires,

    Roles Formal analysis, Methodology, Writing – original draft

    Affiliation Environmental Genomics Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  • Mariana Dias,

    Roles Data curation, Formal analysis, Writing – original draft

    Affiliation Environmental Genomics Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  • Maurício Watanabe,

    Roles Formal analysis, Investigation, Writing – original draft

    Affiliation Biodiversity and Ecosystems Services Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  • Jovani Pereira,

    Roles Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing

    Affiliation Biodiversity and Ecosystems Services Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  • Rodolfo Jaffé,

    Roles Investigation, Validation, Writing – original draft

    Affiliation Biodiversity and Ecosystems Services Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  • Cinthia Helena M. M. Bandeira,

    Roles Formal analysis

    Affiliation Environmental Technology Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  • Nelson Carvalho-Filho,

    Roles Formal analysis, Methodology, Writing – original draft

    Affiliation Environmental Genomics Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  • Edilson Freitas da Silva,

    Roles Formal analysis, Writing – original draft

    Affiliation Botany Coordination, Museu Paraense Emílio Goeldi, Belém, PA, Brazil

  • Tarcísio Magevski Rodrigues,

    Roles Resources, Writing – original draft

    Affiliation Zoobotanical Park, Vale, Parauapebas, PA, Brazil

  • Fernando Marino Gomes dos Santos,

    Roles Formal analysis, Investigation, Methodology, Resources, Writing – original draft

    Affiliation Environmental Studies, Amplo Engenharia, MG, Brazil

  • Taís Fernandes,

    Roles Resources, Writing – original draft

    Affiliation Environmental Studies Office, Vale, Belo Horizonte, MG, Brazil

  • Alexandre Castilho,

    Roles Resources, Writing – original draft

    Affiliation North Ferrous Environmental Office, Vale, Parauapebas, PA, Brazil

  • Pedro Walfir M. Souza-Filho,

    Roles Formal analysis, Resources, Visualization, Writing – original draft

    Affiliation Environmental Technology Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  • Vera Imperatriz-Fonseca,

    Roles Formal analysis, Funding acquisition, Investigation, Project administration, Writing – original draft

    Affiliation Biodiversity and Ecosystems Services Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  • José Oswaldo Siqueira,

    Roles Conceptualization, Funding acquisition, Writing – original draft, Writing – review & editing

    Affiliation Director, Instituto Tecnológico Vale, Belém, PA, Brazil

  • Ronnie Alves,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Visualization, Writing – original draft

    Affiliation Environmental Genomics Group, Instituto Tecnológico Vale, Belém, PA, Brazil

  •  [ ... ],
  • Guilherme Oliveira

    Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

    guilherme.oliveira@itv.org

    Affiliation Environmental Genomics Group, Instituto Tecnológico Vale, Belém, PA, Brazil

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Abstract

Isoetes are ancient quillworts members of the only genus of the order Isoetales. The genus is slow evolving but is resilient, and widespread worldwide. Two recently described species occur in the Eastern Brazilian Amazon, Isoetes serracarajensis and Isoetes cangae. They are found in the ironstone grasslands known as Canga. While I. serracarajensis is present mostly in seasonal water bodies, I. cangae is known to occur in a single permanent lake at the South mountain range. In this work, we undertake an extensive morphological, physiological and genetic characterization of both species to establish species boundaries and better understand the morphological and genetic features of these two species. Our results indicate that the morphological differentiation of the species is subtle and requires a quantitative assessment of morphological elements of the megaspore for diagnosis. We did not detect differences in microspore output, but morphological peculiarities may establish a reproductive barrier. Additionally, genetic analysis using DNA barcodes and whole chloroplast genomes indicate that although the plants are genetically very similar both approaches provide diagnostic characters. There was no indication of population structuring I. serracarajensis. These results set the basis for a deeper understanding of the evolution of the Isoetes genus.

Introduction

Isoetes is one of the most enigmatic plant groups and is the single living representative genus of the Isoetales order. The Isoetales order is well represented in the fossil records and its forms range from the gigantic arborescent individuals from the Carboniferous period (e.g. Lepidodendrum and Sigillaria) to smaller unbranched forms in the Paleozoic (e.g. Chaloneria) and Triassic periods (e.g. Pleuromeia and Annalepis) [1]. The genus is currently globally distributed and comprises approximately 250 species [2]. Isoetes is morphologically quite simple and the plants consist of a lobed subterranean bulb (corm) producing a downward tuft similar to a shoot axis, from which lateral organs named rootles develop (known as stigmarian roots), and upwards leaves with most species having four air-chambers. The genus is heterosporous, differing on the origin of the split from the mother spore and contact with each other, with monolete microspores and trilete megaspores [2]. Habitat, habit, colour, size, and ornamentation of the mega- and microspore, the proportion of the sporangium wall covered by the velum and the sporangial wall colouration are some of the most useful characters in the taxonomy of the genus [3]. However, habitat adaptations during the evolutionary process of these plants appear to have led to the morphological simplicity, convergence, parallel or reticulate evolution, and reversion, which result in great difficulties for species identification [4, 5].

Two new Isoetes species were recently described from the Cangas of the Serra dos Carajás, Pará, in the Brazilian Amazon [6, 7]. The Serra dos Carajás is comprised of north and south ranges (Serra Norte and Serra Sul, respectively), located above 700 m in altitude [8]. Two national parks were created by the Federal Government of Brazil that include part of the Carajás mountains, the Carajás National Forest and the National Park of Campos Ferruginosos (Ferruginous Fields) (Fig 1), that include significant areas of Canga that hosts a number of endemic plant species just recently being studied in fine detail [9]. Both Carajás Isoetes are aquatic, but I. serracarajensis can survive in seasonal lakes and ponds, while I. cangae occurs submerged in a single natural lake (Fig 2) [7].

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Fig 1. Map of occurrence of plants of the Isoetes genus in the region of Carajás.

The map indicates the area of the Carajás National Forest and of the recently created National Park of Campos Ferruginosos. The location of mines is coloured in red and the canga areas in yellow. The locations where Isoetes were collected are indicated in the Serra Norte (N3-N7) and Serra Sul (S11B-S11D) (see also S1 Table). The black square on the map of Brazil points to the study site.

https://doi.org/10.1371/journal.pone.0201417.g001

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Fig 2. Photo of Isoetes serracarajensis (left) and Isoetes cangae (right), both maintained in the laboratory.

https://doi.org/10.1371/journal.pone.0201417.g002

The Isoetes species are morphologically very similar to each other and usually, a small number of specimens are studied for the characterization of a new species. The species description is essentially based on megaspore morphology, with additional features described on the sporangium [7]. Species differentiation in the genus Isoetes is based on minute morphological attributes, likely the result of a very slow molecular evolution rate [1013]. This underscores the fragility of relying on morphological characteristics for wide biodiversity assessments.

For those groups that display overlapping morphological characters among populations, DNA based approaches are important in assisting taxonomic decision as the discriminating criteria [14]. Therefore, methods such as DNA barcoding or high-resolution chloroplast or nuclear genome sequencing approaches have a huge potential to reveal more efficient molecular markers for species characterization and identification [1517]. In this study, we aim to describe in detail morphological, physiological and genetic characteristics of the two species. The results will contribute to conservation efforts and to the understanding of the evolution of this ancient taxonomic group.

Material and methods

Biological material collection

Isoetes specimens were sampled in the Serra dos Carajás, in the State of Pará in the Brazilian Amazon. Fig 1 indicates the localities where 165 specimens were collected based on prior research conducted in herbariums worldwide and on local observations (Tables 1 and S1). I. serracarajensis plants were collected and kept in the Plant Growth laboratory at ITV (Instituto Tecnológico Vale). In general, the samples were collected at the margins of grassland hydromorphic areas and shallow water lakes.

Morphometric analysis of the leaves

A total of 28 specimens of Isoetes representing a set of three wild populations were scored for the morphometric and morphological analysis. From the Serra Sul at the Carajás National Forest 11 specimens of I. cangae were obtained. Specimens of I. serracarajensis were collected from two temporary water bodies (eight and nine specimens from S11B and S11D, respectively, Fig 1). The specimens were collected at least 5 m from each other (Tables 1 and S1).

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Table 1. Summary of specimens collected for genetic and morphological analyses.

Please see S1 Table for a complete list of specimens and locations.

https://doi.org/10.1371/journal.pone.0201417.t001

A data matrix was constructed with three linear measurements of the leaves. The selected characters were length, width at the base, and width at the middle of the leaves. We calculated the arithmetic mean to obtain a final value based on three measurements per specimen. The characters were measured with a ruler or digital pachymeter.

We conducted multivariate analyses using R and SYSTAT 10.0 to assess morphological variability and the reliability of the characters based on length and width of the sporophylls for species identification (SYSTAT Software). Ordination methods and cluster analysis were used to spot the affinities among populations and assess whether morphological patterns emerged from analyzes. Cluster analysis was performed using the unweighted pair group algorithm with arithmetic average (UPGMA) and standardized data based on Euclidean distance matrix obtained for all populations.

Palynological analyses

Seven specimens of I. cangae were collected in the Amendoim Lake at S11D. Nine specimens of I. serracarajensis were collected in temporary ponds covered by water only during the rainy season, from S11D and S11B at Serra Sul (Fig 1 and Tables 1 and S1). The megaspore data were based on measurements of 20 spores extracted from each sporangium. One set was untreated and a second set chemically treated with 40% HF for removing the siliceous outer coating [18]. Subsequently, the megaspores were transferred to aluminum scanning electron microscope (SEM) stubs coated with a gold alloy and digitally imaged using a Zeiss SIGMA VP. EDS (Energy Dispersive Spectroscopy) was also carried out for megaspores with and without silica coating. The morphometric data were based on measurements of 20 spores and were plotted in box plots using Statistica 12 (Statsoft., 2015). The relation between equatorial diameter length (El) and equatorial width (Ew) was indicated by El/Ew, while the relation between polar (P) and equatorial (E) diameter was indicated by P/E. TLI (Trilete index: radius length / (trilete spore diameter/2)) was measured to indicate the relation between the radius and the spore diameter. All terminologies followed Punt et al. (2007) and Hickey (1986) [19, 20].

Microspores sizes and number per sporange were obtained from intact microsporangia gently removed from outer sporophylls of I. cangae (six sporangia from three plants) and I. serracarajensis (four sporangia from three plants) grown under laboratory conditions. A block of soil substrate from the temporary ponds of Serra Sul at Carajás was brought to the Plant Growth Lab at ITV. The plants were submerged in a container filled with distilled water and kept inside a growth chamber (Fitotron® SGC 120, Weiss Technik UK, Loughborough, United Kingdom) under 100 μmol m-2s-1 radiation, photoperiod of 12h:12h and day/night temperature of 26/22°C. Microsporangia were collected six months later after plant emergence when sporophylls reached around 10–12 cm. Spores were released from the sporangia with scalpels and rinsed with distilled water to remove debris. The number of microspores per sporangia was determined cytometrically by adding it into BD TruCount Absolute Count Tubes (BD Biosciences) on a FACSAria II (BD Biosciences). Microspores sizes (polar and equatorial diameter) were measured using a Zeiss Axio Imager M2 light microscope equipped with a Zeiss Axio Cam MRm camera.

DNA extraction

Plant DNA extraction was carried out using a QIAcube HT robot (Qiagen), with approximately 50 mg of plant material collected in NaCl-saturated CTAB solution [21]. Samples were weighed and transferred to 2 mL Safe-Lock Eppendorf microtubes containing two 5 mm stainless steel beads (Qiagen). Subsequently, the tubes were frozen in liquid nitrogen and the leaf material was pulverized using a TissueLyser II (Qiagen) for 2 min at 30 Hz. After this 1 mL of extraction buffer [2% CTAB, 0.1 mM Tris-HCl (pH 8.0), 20 mM EDTA (pH 8.0), 1.4 M NaCl] was added to the samples, which were kept in a water bath at 60°C for 40 min under gentle agitation. The tubes were then centrifuged for approximately 30 s at 14,000 rpm and 200 μL of the supernatant was transferred to a 96 sample S-block. Afterwards, DNA extraction was carried out using the QIAamp 96 DNA kit (Qiagen), following the manufacturer’s instructions. DNA quantity and quality were checked using the Eon spectrophotometer (Bioteck).

DNA barcoding

DNA barcoding was performed targeting the nuclear ITS2 and the cpDNA intergenic spacers trnH-psbA. The markers atpF-atpH and psbK-psbI were also used for a few specimens (S1 Table). All PCR reactions were conducted as follows: 2 μL of genomic DNA, 2.5 μL of 10X reaction buffer [100 mM Tris-HCl (pH 8.3) and 500 mM KCl], 2.4 μL of 25 mM MgCl2], 2 μL of dNTP mix (2 mM each), 0.5 μL of each forward and reverse primers at 10 pmol (Table 2), 1 U of Taq polymerase (Thermo Fisher) and milli-Q water to a final volume of 25 μL [22]. The PCRs were run in a Veriti 96-Well Thermal Cycler (Thermo Fisher), using the following conditions: 94°C for 3 min, followed by 30 cycles of amplification with 1 min at 94°C, 1 min at 54°C and 1 min at 72°C, with a final extension step for 7 min at 72°C. The amplified DNA was then precipitated with 100 μL of 65% isopropanol for 15 min, and centrifuged for 45 min at 4,000 rpm at 10°C. After discarding the supernatant, 125 μL of cold 70% ethanol was added and the tubes were centrifuged for 10 min at 4,000 rpm at 10°C. Subsequently, the supernatant was discarded, dried at room temperature (ca. 20°C) for 30 min and the DNA was resuspended in 25 μL of milli-Q water and stored at -20°C.

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Table 2. List of primers used for PCR amplification of genetic markers.

https://doi.org/10.1371/journal.pone.0201417.t002

Sequencing reactions were carried out using the BigDye Terminator v3.1 kit (Thermo Fisher) following the manufacturer’s protocol and then submitted to sequencing using an ABI 3730 Genetic Analyzer (Thermo Fisher).

Editing and assembly of the sequences were carried out using Geneious R10 (Biomatters). Electropherograms produced by Sanger sequencing were quality-trimmed using the modified Mott algorithm considering the chance of error of 0.01 per base. The contigs were assembled based on the overlapping of the quality trimmed bases (Phred >20) and the fasta files were generated for further analysis and deposit in the BOLD (BOLD http://www.boldsystems.org) and GenBank databases (https://www.ncbi.nlm.nih.gov). GenBank accession numbers for DNA barcodes are: atpF-atpH (MF805103—MF805125), ITS2 (MF805393—MF805555), trnH-psbA (MF805006—MF805102) and psbK-psbI (MF804937—MF804950). BOLD accession numbers are: ISO001-17 –ISO047-17, ISO049-17 –ISO064-17, ISO067-17, ISO070-17 –ISO072-17, ISO074-17 –ISO079-17, ISO081-17, ISO084-17 –ISO174-17.

Taxonomic affiliation of the sequences was based on the traditional taxonomy of each specimen compared with data deposited in public databases retrieved by BLASTn (http://blast.ncbi.nlm.nih.gov/Blast.cgi) [25]. Sequence alignments were conducted using MAFFT v7.309 with default parameters [26] using Geneious R10 [27].

Whole genome sequencing

Total genomic DNA was extracted from leaves according to the CTAB I protocol as previously described [28]. Shotgun sequencing runs were performed using two different methodologies. Sequencing on the Ion Torrent Personal Genome Machine® (PGM™) Sequencer (Thermo Fisher) was performed by using total genomic DNA (1 μg) sheared with the Bioruptor Plus sonication device (Diagenode) and the sequencing library prepared according to the Ion Plus Fragment Library kit following Ion Torrent PGM™ protocol (Thermo Fisher). The resulting individual DNA library was quality checked and quantified using the Qubit 2.0 Fluorometer and the Qubit dsDNA HS Assay Kit following the manufacturer’s specification (Thermo Fisher). Following template amplification and enrichment on the Ion OneTouch™ 2 System and Ion OneTouch™ ES enrichment system, respectively (Life Technologies). Next, samples were individually loaded onto one PGM Ion 318™ Chip v2 and sequenced using the Ion PGM™ Hi-Q™ Sequencing Kit (Thermo Fisher) according to manufacturer’s protocol. The NextSeq 500 Illumina platform was also used for sequencing ten Isoetes specimens. Briefly, paired-end libraries were constructed from ~50 ng of DNA. Samples were subjected to a step of enzymatic random fragmentation in which the DNA was simultaneously fragmented and bound to adapters using the QXT SureSelect kit (Agilent Technologies) according to the manufacturers' instructions. The fragmented DNA was purified and subjected to an amplification reaction using primers complementary to the adapters. Next, the libraries were quantified using the Qubit® 3.0 Fluorimeter (Life Technologies) and checked for fragments size in the 2100 Bioanalyzer (Agilent Technologies®). The libraries were diluted in a solution of 0.1% Tris-HCl and Tween and pooled. The sequencing run was performed within a NextSeq 500 v2 kit high-output (300 cycles). Sequencing output is summarized in S2 Table.

The reads with base quality < Phred 20 and length < 100 bp were trimmed and the remaining reads with more than 20% low-quality bases (<Phred 20) were filtered out using Fastx-Toolkit (http://hannonlab.cshl.edu/fastx_toolkit/). High-quality reads from each sample were then mapped against the reference chloroplast genome (Isoetes flaccida chloroplast, accession GU191333, [29]) using Geneious R10.

Mapped reads from each sample were submitted to an assembly using SPAdes with default settings [30]. We also used ARC (http://ibest.github.io/ARC/) to obtain chloroplast contigs by mapping the raw reads against the reference chloroplast genome using bowtie and then automatically assembling the mapped reads with SPAdes [31]. The SPAdes contigs and the ARC contigs were merged manually with Geneious R10, producing the complete chloroplast genome from each sample. Easyfig was used for synteny analysis [32]. Gene annotations were conducted using DOGMA and CPGAVAS [33, 34]. The quality of genome assemblies was evaluated by Quast v 4.3 using statistical metrics such as Genome fraction, GC (%), Nx, mismatch, and indels per 100 kb [35]. Chloroplast genome sequences were deposited in GenBank under accession numbers MG019393 for ITV3828 (I. cangae), MG019394 for ITV2008 (I. cangae), and MG019395 for ITV411 (I. serracarajensis). Raw data were deposited at NCBI’s Sequence Read Archive (SRA) with the following IDs ITV2008 (SRR6941192), ITV411 (SRR6941193), and ITV3828 (SRR6941194).

Alignments of full chloroplast genomes were generated in mVISTA using a Shuffle-LAGAN mode and a sliding window of 100 bp to detect the whole genome variation [36].

Mapping of Illumina reads to assembled chloroplast genomes was conducted using Bowtie2 [31] to generate SAM files. SAMtools [37] was used to generate the BAM and VCF files needed to carry out SNP analysis, conducted with SNPrelate from Bioconductor (https://bioconductor.org/) [38]. Detailed information including command lines used can be found in S1 File.

Results

The collection sites indicate that Isoetes are well represented in the area, occurring from the north range (Serra Norte): N3, N4, N6 and N7 and in the south range (Serra Sul) S11B and S11D in addition to the Tarzan, Cristalino and Bocaina (part of the new National Park of Campos Ferruginosos) mountains (Fig 1).

Leaf morphology reveals overlapping phenotypes

Cluster Analysis of leaf morphometry resulted in a dendrogram with two major clusters (Fig 3). The first (upper) cluster contains mostly specimens of I. serracarajensis, although one specimen of I. cangae appeared in this cluster. Specimens of I. serracarajensis from seasonal lakes at S11C and S11D form a mosaic with no distinctive patterns. Most specimens identified as I. cangae are represented in the lower cluster, in which two subgroups are formed: the major subgroup only contains specimens of I. cangae, and the upper subgroup containing three specimens of I. serracarajensis with one specimen of I. cangae. The box-plot in Fig 3 reveals a statistically skewed dataset of characters indicating a large spread of the data. Comparisons between datasets of I. cangae and I. serracarajensis indicate that the morphometric distribution of I. serracarajensis is more homogeneous than the distribution of I. cangae. Moreover, the superposition of leaf morphometry between the two species is evidenced (Fig 3). Therefore, larger leafs were observed for I. cangae, although measurements were not diagnostic for species identification. We next sought to analyze other morphological characters with a focus on megaspores that were initially used as the main feature to describe the two Isoetes species from Carajás.

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Fig 3. Leaf morphometric analysis.

A) UPGMA dendrogram of the 28 specimens of the three populations of Isoetes. Data are based on Euclidean distances. Group of specimens: 1-8B, I. serracarajensis from S11B; 1-9D, I. serracarajensis from S11D; 1–10 cangae, I. cangae from Amendoin lake. B) Box-plot of multiple variables (Length, width in the base, width in the middle of the leaves) of three populations of Isoetes.

https://doi.org/10.1371/journal.pone.0201417.g003

Megaspore ornamentation and PCA of morphometric characteristics differentiate the two Isoetes species

One important characteristic of Isoetes megaspores is that they usually present a silica coat. This was demonstrated by EDS spectrum of the surface of Isoetes megaspores that revealed peaks related to Si and O, indicative of the presence of silica (Fig 4A and 4B). After silica removal, C and O peaks remain, while the silica peak disappeared (Fig 4C and 4D), permitting a clear analysis of micro and macro ornamentation patterns. We conducted the analysis of all morphometric parameters in samples “with (w/)” and “without (w/o)” silica coating.

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Fig 4.

EDS Spectrum detecting silica in the megaspore surface of Isoetes, a) with silica and b) without silica coating.

https://doi.org/10.1371/journal.pone.0201417.g004

Megaspores of Isoetes are white if exposed, heteropolar and radially symmetric, with a triradiate (trilete) mark on the proximal face extending to the equatorial limb (Fig 5), which is evidenced by the TLI (radius length / (trilete spore diameter/2)) values > 1. Laesurae are prominent, generally wider than higher, and commissures are slightly curved to straight. Grooves and verrucae are present in some specimens of I. serracarajensis. Shapes are oblate spheroidal to prolate spheroidal (in samples with (w/) or without (w/o) silica) in equatorial view (polar/equatorial diameter—P/E 0.91–1.03) and triangular-obtuse to circular in polar view (equatorial length/width—El/Ew 0.99–1.07). Spores with P/E and equatorial length/width (El/Ew) < 1 or > 1 have acute to obtuse apex, except for I. serracarajensis that have an exclusively obtuse apex. Broadest ranges of El, Ew, and P were observed for I. serracarajensis (Table 3 and Figs 6 and S1). Wider and higher laesura occur for I. serracarajasensis (Table 3 and Figs 6 and S1). Considering megaspores w/, I. cangae is mainly verrucate to tuberculate (predominance of verrucae) with fused rodlets and rootlets in the distal and proximal face. I. serracarajensis is predominantly verrucate, rarely tuberculate, with fused rodlets and rootlets in the distal and proximal face. After silica removal, I. serracarajensis became entirely verrucate, and both species presented rootlets on both faces (Figs 5 and 6).

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Fig 5. Isoetes megaspores (trilete mark on proximal face).

A) Ic5: proximal face, verrucate megaspore (with silica); B) Ic7: proximal face, verrucate to tuberculate megaspore (without silica); C) Ic4: distal face, verrucate to tuberculate megaspore (with silica); D) Ic7: distal face, tuberculate to verrucate megaspore (without silica); E) Ic7, detail of the verruca and fused rodlets (with silica); F) Ic4: detail of the verruca and fused rootlet in the proximal face; G) Ic8: tubercles and fused rodlets in the proximal face (with silica); H) Ic7: detail of the verruca and fused rootlet (densely packed) in the proximal face (without silica); I) IsD8: proximal face, verrucate megaspore (with silica); J) IsD8: proximal face, verrucate megaspore (without silica); K) IsB2: distal face, verrucate megaspore (with silica); L) IsD2: distal face, verrucate megaspore (without silica); M) IsD1: detail of the radii and verrucae in the proximal face (with silica); N) IsB1, detail of the fused rootlets in the distal face (without silica); O) IsB5: detail of the verrucae and fused rodlets in the distal face (with silica); P) IsD2: detail of the verrucae and fused rootlet (densely packed) in the proximal face (without silica). Scale bar corresponds to 100 μm, except F, H, N and P, which is 5 μm. Ic: I. cangae, Is: I. serracarajensis, Is (B and D): I. serracarajensis from the S11B and S11D, respectively.

https://doi.org/10.1371/journal.pone.0201417.g005

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Fig 6. Box plots of Isoetes megaspore morphometry with (white boxes) and without silica (gray boxes).

All units in the y-axis are in μm.

https://doi.org/10.1371/journal.pone.0201417.g006

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Table 3. Morphometric values (minimum–maximum) of Isoetes megaspores; w/ (with silica) and w/o (without silica).

https://doi.org/10.1371/journal.pone.0201417.t003

The distance between verrucae is generally shorter for I. serracarajensis. The combination of all measured parameters resulted in distinct groups by PCA. A dominating factor for distinguishing I. cangae from I. serracarajensis was the presence of tubercles (negative loading on Factor 1, Fig 7). Silica removal influenced the result of PCA analysis, improving on the separation of the two species (Fig 7).

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Fig 7.

A) PCA of morphometric data of Isoetes megaspore showing tubercles group differentiated from other parameters (total variance: 91.5%). B) Distinct clustering of I. cangae from I. serracarajasensis with (w/) and without (w/o) silica coating.

https://doi.org/10.1371/journal.pone.0201417.g007

Microspores show morphological differences but are produced in similar numbers

We also sought to compare one physiological parameter between the two Isoetes species, the number of microspores produced. We observed that there was no difference in the number of microspores produced from the microsporangia at the base of each sporophyll leaf carrying a male sporangium between the two species (Fig 8A). We initially had collected I. serracarajensis specimens with significantly lower microspore production (Fig 8A, light gray), but more recently collected specimens displayed elevated microspore numbers making this parameter not a particular characteristic of the species (Fig 8A, dark gray). However, there were morphological differences. Microspores of I. cangae were smaller in equatorial and polar measurements (27 and 19 μm, respectively) in comparison to I. serracarajensis (30 μm and 22 μm, respectively), although this was not a diagnostic character (Fig 8B). We did not observe any significant difference in shape according to the descriptions of Erdtman [39] (Fig 8C).

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Fig 8. Microspore number and size of two Isoetes species from Carajás.

A) Number of microspores per microsporangia. Light gray and dark gray represent two groups of I. serracarajensis independently collected, B) Microspore equatorial and polar diameters and, C) Polar/equatorial diameter ratio of I. cangae (six microsporangia from three plants) and I. serracarajensis (four microsporangia from three plants). The gray shades indicate different shapes. ‘***’ represents a significant difference in a t-test at P<0.01 and ‘ns’ non-significant.

https://doi.org/10.1371/journal.pone.0201417.g008

DNA barcoding identifies two distinct Isoetes populations

We produced DNA barcodes for 165 specimens of Isoetes from both Carajás region species, distributed along a 100-kilometer range in different ironstone grasslands plateaus. The complete list of locations is available in S1 Table. All the tested chloroplast markers yielded identical sequences (data not shown). In contrast, the ITS2 nuclear ribosomal marker was capable of separating, at high confidence, Isoetes in two groups corresponding to the two Carajás species described (Fig 9). We observed that I. cangae, restricted to the S11D region, was separated from I. serracarajensis which was also observed in the same plateau area. Despite I. serracarajensis being widely spread in the region, we did not observe any differentiation among sampled plots, even considering the geographically distant Cristalino samples (Figs 9 and S2). To probe deeper at the genetic differences, we sequenced the plastid genomes of the two species.

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Fig 9. The ITS2 DNA barcode can be used to identify the two Carajás Isoetes species.

Summary of the multiple alignment of all genotypes observed for both species. The site position is indicated on top. The site of origin of each genotype of I. serracarajensis is indicated. See S2 Fig for the complete multiple alignment.

https://doi.org/10.1371/journal.pone.0201417.g009

Chloroplast genomes are highly similar but contain distinguishing characteristics

The output generated by the whole genome sequencing is shown in S2 Table. The mapped reads of the I. cangae and I. serracarajensis against the reference genome of I. flaccida resulted in 79,820 and 75,008 mapped reads, respectively. The assembled plastids of I. cangae (189 X coverage) and I. serracarajensis (143 X coverage) were 143,415 bp (37.7% GC content) and 143,687 bp (37.7% GC content) long, respectively (Fig 10). The only other available chloroplast genome of the genus is of I. flaccida (NC_014675.1), which is 145,303 bp in length [29]. The gene content is identical between the two Carajás species, 130 genes, three less than what was observed for I. flaccida (S3 Table). The genes rps16, rps2 and trnK-UUU were missing from the Carajás species. Three copies of the rps12 gene and two copies of each rps7, rrn16S, rrn23S, rrn4.5S, rrn5S, trnA-UGC, trnL-GAU, trnN-GUU, trnR-ACG and trnV-GAC were observed. The genomes of the three species were completely syntenic with all genes in the same order and transcribed from the same DNA strand (Fig 10). One of the small differences between the Carajás species was a missing exon in the clpP gene, in addition to one intergenic fragment between the atpB and ndhK genes. The inverted repeats are shown in the synteny maps in red (Fig 11). We also observed small regions with few similarities between the species, such as the psaA and psaB genes (Fig 11).

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Fig 10. Complete chloroplast assembly for I. cangae and I. serracarajensis.

Colors are indicative of the gene functions. The side of the circle indicates the transcribed DNA strand.

https://doi.org/10.1371/journal.pone.0201417.g010

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Fig 11.

Synteny analysis I. flaccida (A), I. serracarajensis (B, ITV411) and I. cangae (C, ITV2008) chloroplast genomes. Genes are shown in light green with arrows pointing in the direction of transcription. Gray areas represent syntenic regions ranging from white to dark gray the greater the similarity between syntenic regions. Red represents repeated inverted regions.

https://doi.org/10.1371/journal.pone.0201417.g011

Another representative aspect of the chloroplast structure were the boundaries between the Inverted Repeats. We observed that the number of bases between adjacent genes at the boundaries of the repeats LSC-IRb, Irb-SSC, SSC-IRa and IRc-LSC was equal between the Carajás Isoetes species and distinct from the boundaries observed for I. flaccida (Fig 12). Taken together, the overall chloroplast genomes of the three species were very similar, but with a greater similarity between the two species from Carajás.

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Fig 12. Inverted Repeat region of three different Isoetes species.

Boxes with arrow indicate genes. The blocks in black or white represent the different repeats: LSC, IRb, SSC, and IRa.

https://doi.org/10.1371/journal.pone.0201417.g012

To expand on the initial observation of the I. cangae and I. serracarajensis chloroplast genomes, 10 additional Isoetes genomes were sequenced from both species. The reads were mapped to the genomes of I. cangae or I. serracarajensis. When all genomes were mapped to the I. serracarajensis reference we observed 44 SNPs overall. There were 27 and 21 specific alleles for I. serracarajensis and I. cangae, respectively. From the 44 observed SNPs, only seven were in coding regions and all of them resulted in a switch in the coded amino acid (S4 Table). When the genomes were mapped to the I. cangae reference a total of 47 SNPs were observed. We observed 29 and 22 specific alleles for I. serracarajensis and I. cangae, respectively. From the 47 observed SNPs, only 13 were in coding regions and nine of them resulted in a switch in the coded amino acid (S5 Table). Codon usage in both chloroplasts did not show significant differences (S6 Table). Further analysis of the chloroplast genomes indicated that SNP analysis could differentiate the two species. For this analysis sequence coverage of the Illumina reads for each allele displayed by the reference genome is shown. Fig 13 indicates that coverage plots can group the plants of the same species. Trees based on SNP identification data with coancestry coefficient measures was also able to group plants of the same species by (Fig 14).

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Fig 13. Sequence coverage of chloroplast SNPs separates the two Isoetes species.

Illumina reads of the 10 sequenced chloroplasts were mapped to the reference genomes of I. serracarajensis (A) or I. cangae (B). Low coverage ranges from white to blue and high coverages range from green to yellow.

https://doi.org/10.1371/journal.pone.0201417.g013

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Fig 14. Individual dissimilarity trees based on SNP data separates the two Isoetes species.

VCF SNP files were used by SNP Relate R package to measure coancestry coefficient.

https://doi.org/10.1371/journal.pone.0201417.g014

Discussion

Our study reveals morphological and genetic information in an enigmatic and ancient group of plants. Chloroplast derived DNA barcodes could not separate both species and morphometric analyses was capable of species distinction only after extensive measurements and statistical analysis. However, ITS2 DNA barcodes and chloroplast genome analysis clearly placed the two Isoetes species in different clades, despite their close relatedness.

The characters used to describe the two Carajás Isoetes species were leaves and megaspores types. Despite the potential of leaf characters for taxonomy, leaf morphological aspects are not sufficient to distinguish those two species [40]. The leaf characters have been used with caution in the taxonomy of Isoetes and appear to be relevant to separate some species [41]. However, our analysis of the populations of I. serracarajensis and one population of I. cangae showed inconsistency in the distinction of these species based only on leaf measurements, with I. cangae displaying greater variability. This result was already expected given the huge morphological plasticity that the leave may present due to habitat variation [4]. This makes leaf morphometry useless for species identification, in this case.

Megaspores have also been used for the characterization of species [20]. We used a larger dataset for comparing silica coated megaspores of I. cangae and I. serracarajensis with those previously described [7]. Laesura was higher than wider and its shape was the same for both species, but grooves and verrucae were observed on each side of I. serracarajensis. Megaspore polar diameter and laesura width and height measurements were bigger than those previously described [7]. Taken together, the individual measurements made with silica-coated megaspores were not sufficiently clear to distinguish the two Isoetes species.

Considering that silica starts to accumulate from the tapetum after completion of the exospore [42, 43], the most appropriate way to describe macro and micro elements of ornamentation requires silica removal [18]. Troia and colleagues studied megaspores of Mediterranean Isoetes species and proposed that the ornamentation elements were still visible on the exospore even after silica removal, although in a reduced form [18]. Thus, the surface elements of the siliceous coating seem to conform to the sporopolleninous exospore as a deposit. Our results showed that silica coating partially conforms to the exospore since the order of predominance of the macro-ornamentation elements changed after silica removal, as well as the micro-ornamentation pattern. Thus, silica removal caused a significant reduction in all measurable features of the studied megaspores and did not improve qualitative distinction between the two species. However, PCA analysis did separate the two species and we believe that such statistical treatment will be necessary for the use of morphometric analyzes for diagnostic purposes. The approach is therefore of limited use in wide biodiversity assessments, but strongly necessary under stenopalynous condition.

One physiological parameter evaluated was the number of microspores produced. We also did not observe significant differences between the two species. The microspore shape, however, was distinct and is another evidence towards the segregation of the two Isoetes species. These species occupy contrasting environments, allowing them to develop different growth and reproductive strategies. Plants of I. serracarajensis can be found in temporary ponds, where a fine-tuned growth and reproduction in short periods of the rainy season (five months long) would have been beneficial. In contrast, plants of I. cangae inhabit a permanent lake that undergoes short variations of the environmental conditions all along the year [44]. Under these conditions, it is possible that growth and reproductive periods of I. cangae developed alternative reproductive patterns independent of the precipitation regularity. The I. cangae microspores were generally smaller, but this was not sufficiently distinct for a diagnostic character, but apparently provides a reproductive barrier for the species. The size of the microspores is related to the genome ploidy and as a consequence may block the exchange of genetic material between species, similar to what has been observed for polen [12, 45].

DNA sequence information based on the nuclear derived ITS2 DNA barcode could clearly place the two Isoetes species in different clades, despite their close relatedness. The sampled location for I. serracarajensis did not indicate any geographical stratification. Therefore, ITS2 DNA barcoding was sufficient for diagnosing the two species, but additional molecular markers are needed for capturing the phylogenetic relationships of Isoetes species [5].

Plastome genome variation in sequence, in inverted repeat length, and gene content has been observed in many plants [46, 47]. Ferns are an ancient lineage in which a number of differences have been described, including inversions and gene loss [48]. I. cangae and I. serracarajensis presented low levels of variation in the chloroplast genome, which also was captured by a lack of variability in DNA barcode markers. The complete chloroplast genomes corroborated the initial DNA barcode analysis showing a conserved genetic pattern between them. These species were similar in overall chloroplast genome architecture, gene content, gene order and spacing between repeat regions. On the other hand, the species of Isoetes from Carajás remarkably revealed three missing genes in comparison to I. flaccida: rps2, rps16 (both encode for ribosomal proteins of the small ribosomal subunit) and trnK-UUU (encoding for a ribosomal transfer gene). The rps16 gene has been observed to be absent in other chloroplast genomes, being substituted by the nuclear copy [49]. The rps2 and rps16 are pseudogenes in I. flaccida [30]. The trnK-UUU gene is one of the few transport RNA genes that contain introns. The matK gene is usually found in this intron and is required for the trnK-UUU splicing [29, 50]. We manually checked to ascertain that Trnk-UUU was indeed missing in the Carajás species as well as in other Isoetes. The gene trnk-UUU has been observed to be missing in other species such as in leptosporangiate ferns [51].

The three missing genes in the Carajás Isoetes species appear to be consistent not only with the quite distinct phylogenetic origin but also with the ancient divergence of them from the clade of I. flaccida [5]. The divergence between Carajás Isoetes species and I. flaccida clades extends back to the earliest divergence event in Isoetes in the Late Jurassic ca. 148 Mya [5]. One interesting difference of I. flaccida from the Carajás species is that the inverted repeat boundaries display clear distinctions for this species in the boundaries length and could be another diagnostic trait. Further studies including the close relatives of Carajás Isoetes species will allow testing if these missing genes are widespread in their group and trace the evolutionary history of these species. In conclusion, this study is the first attempt to understand chloroplast genome differences between both closely and distantly related species in Isoetes. The overall structure of the chloroplast genomes is highly similar between species from the same clade, however, there are remarkable differences between species of distinct clades. It is clear that more species should be included in further analyses to better understand how the chloroplast architecture evolved in Isoetes and this study is an important step towards this goal.

To increase the resolution of the chloroplast genome analysis, we also searched for SNP variations among individuals of both species in the complete chloroplast genome sequence examination. Despite the occurrence of few polymorphisms, the SNP analysis could clearly place I. serracarajensis and I. cangae into two different groups. The phylogenetic analysis of the entire gene content showed the same results as the examination of DNA barcode and SNP data (data not shown).

We provide diagnostic molecular markers for the two species and information on the level of genetic variability in the region. The amount of genetic variability in a population and gene flow between populations is critical for the maintenance of a species. The molecular analysis corroborates the work of expert taxonomists, but also supports environmental assessment tasks by providing solid markers for species identification, especially for the non-expert [5, 7]. The information we provide contributes with baseline data to aid conservation efforts. We provide easy to produce markers for species identification and, for the moment, low-resolution markers for population genetics. In situ and ex-situ conservation efforts are facilitated by the low levels of genetic diversity observed for both Isoetes species.

We are currently conducting genome level analysis of several related species to capture their evolutionary history, full nuclear genomes, and population genetic analysis, of both Carajás species as well as paleobiogeographic reconstructions.

Supporting information

S1 Table. Specimens collected for genetic and morphological analyses.

https://doi.org/10.1371/journal.pone.0201417.s001

(DOCX)

S2 Table. Statistics on NGS data for whole genome sequencing.

https://doi.org/10.1371/journal.pone.0201417.s002

(XLSX)

S3 Table. Chloroplast gene content for I. cangae and I. serracarajensis.

Genes were annotated in CPGAVAS [35], names in bold were annotated using DOGMA [34]. The copy number of each gene and transcribed strands are shown.

https://doi.org/10.1371/journal.pone.0201417.s003

(XLSX)

S4 Table. SNPs observed in the chloroplast genomes of specimens of I. serracarajensis and I. cangae mapped against ITV411 of I. serracarajensis.

https://doi.org/10.1371/journal.pone.0201417.s004

(XLSX)

S5 Table. SNPs observed in the chloroplast genomes of specimens of I. serracarajensis and I. cangae mapped against ITV2008 of I. cangae.

https://doi.org/10.1371/journal.pone.0201417.s005

(XLSX)

S6 Table. Codon usage for Isoetes flaccida and the Carajás species.

https://doi.org/10.1371/journal.pone.0201417.s006

(XLSX)

S1 File. Bioinformatics command lines used.

https://doi.org/10.1371/journal.pone.0201417.s007

(DOCX)

S1 Fig. Microspore measurements.

Box plots of equatorial diameter length, equatorial diameter width, polar diameter, leasure width, leasura hight, and radii with TLI for I. cangae and I. serracarajensis with and without silica. All units in the y-axis are in μm.

https://doi.org/10.1371/journal.pone.0201417.s008

(TIF)

S2 Fig. Multiple alignment of the ITS2.

The species and the sampled locations are shown in the left. Polymorphic sites are marked in green and yellow for I. cangae and in blue for I. serracarajensis.

https://doi.org/10.1371/journal.pone.0201417.s009

(TIF)

Acknowledgments

We would like to thank Manoel João Lopes for his excellent technical assistance.

References

  1. 1. DiMichele W, Bateman R. The rhizomorphic Lycopsids: A case-study in paleobotanical classification. Syst Botany. 1996;21(4):535–552.
  2. 2. Troia A, PEREIRA JBS, Kim C, Taylor WC. The genus Isoetes (Isoetaceae): a provisional checklist of the accepted and unresolved taxa. Phytotaxa. 2016;277(2):101–145.
  3. 3. Taylor W, Luebke N, Britton D, Hickey R, Brunton DF. Isoetaceae. In: Committee FoNA, editor. Flora of North America and North of Mexico. New York and Oxford: Oxford Univesity Press; 1994.
  4. 4. Taylor WC, Hickey R. Habitat, evolution, and speciation in Isoetes. Ann MO Botanical Garden. 1992;79(3):616–625.
  5. 5. Pereira JBS, Labiak PH, Stutzel T, Schulz C. Origin and biogeography of the ancient genus Isoëtes with focus on the Neotropics. Bot J Linnean Society. 2017;185(2):253–271.
  6. 6. Pereira JBdS, Ruhr-Universität Bochum B, Germany, Arruda AJ, Universidade Federal de Minas Gerais BH, Brazil, Salino A, Universidade Federal de Minas Gerais BH, Brazil. Flora of the cangas of Serra dos Carajás, Pará, Brazil: Isoetaceae. Rodriguésia. 2017;68(3spe):853–857.
  7. 7. Pereira JBS, Salino A, Arruda A, Stutzel T. Two New Species of Isoetes (Isoetaceae) from northern Brazil. Phytotaxa. 2016;272(2):141–148.
  8. 8. Piló L, Auler A, Martins F. Carajás National Forest: iron ore plateaus and caves in southeastern Amazon. In: Vieira B, Salgado A, Santos L, editors. Landscapes and Landforms of Brazil. Dordrencht: Springer; 2015. pp. 273–283.
  9. 9. Viana PL, Gil AdSB, Salino A, Zappi DC, Harley RM, Ilkiu-Borges AL, et al. Flora of the cangas of the Serra dos Carajás, Pará, Brazil: history, study area and methodology. Rodriguésia. 2016;67(5SPE):1107–1124.
  10. 10. Takamiya M, Watanabe M, Ono K. Biosystematic studies on the genus Isoetes in Japan I. Variations of the somatic chromosome numbers. J Plant Res. 1994;107:289–297.
  11. 11. Hoot SB, Taylor WC. The Utility of Nuclear ITS, a LEAFY Homolog Intron, and Chloroplast atpB-rbcL Spacer Region Data in Phylogenetic Analyses and Species Delimitation in Isoëtes. Am Fern J. 2001; 91(3):166–177.
  12. 12. Pereira JB, Mittelbach M, Labiak PH. Studies on Chromosome Numbers and Spore Size in Brazilian Isoëtes. Am Fern J. 2015;105(3):226–37.
  13. 13. Larsén E, Rydin C, Balthazar EMv. Disentangling the Phylogeny of Isoetes (Isoetales), Using Nuclear and Plastid Data. Int J Plant Sciences. 2015;177:157–174.
  14. 14. Hajibabaei M, Singer GA, Hebert PD, Hickey DA. DNA barcoding: how it complements taxonomy, molecular phylogenetics and population genetics. Trends Genet. 2007;23(4):167–172. pmid:17316886
  15. 15. Hollingsworth PM, Li D-Z, Bank Mvd, Twyford AD. Telling plant species apart with DNA: from barcodes to genomes. Philos T Roy Soc B. 2016;371:20150338.
  16. 16. Miller SE, Hausmann A, Hallwachs W, Janzen DH. Advancing taxonomy and bioinventories with DNA barcodes. Philos T Roy Soc Lond B. 2016;371(1702):20150339.
  17. 17. Nock CJ, Waters DL, Edwards MA, Bowen SG, Rice N, Cordeiro GM, et al. Chloroplast genome sequences from total DNA for plant identification. Plant Biotechnol J. 2011;9(3):328–333. pmid:20796245
  18. 18. Troia A, Bazan G, Schicchi R. Micromorphological approach to the systematics of Mediterranean Isoëtes species (Isoëtaceae, Lycopodiophyta): analysis of the megaspore surface. Grana. 2012;51(1):35–43.
  19. 19. Punt W, Hoen PP, Blackmore S, Nilsson S, Le Thomas A. Glossary of pollen and spore terminology. Rev Palaeobot Palyno. 2007;143(Issues 1–2):1–81.
  20. 20. Hickey R. Isoëtes megaspore surface morphology: nomenclature, variation, and systematic importance. Am Fern J. 1986;76(1):1–16.
  21. 21. Rogstad SH. Saturated NaCl-CTAB solution as a means of field preservation of leaves for DNA analyses. Taxon. 1992;41(4):701–708.
  22. 22. Shaw J, Lickey EB, Schilling EE, Small RL. Comparison of whole chloroplast genome sequences to choose noncoding regions for phylogenetic studies in angiosperms: the tortoise and the hare III. Am J Bot. 2007;94(3):275–288. pmid:21636401
  23. 23. Chen S, Yao H, Han J, Liu C, Song J, Shi L, et al. Validation of the ITS2 region as a novel DNA barcode for identifying medicinal plant species. PloS one. 2010;5(1):e8613. pmid:20062805
  24. 24. Fazekas AJ, Burgess KS, Kesanakurti PR, Graham SW, Newmaster SG, Husband BC, et al. Multiple multilocus DNA barcodes from the plastid genome discriminate plant species equally well. PloS one. 2008;3(7):e2802. pmid:18665273
  25. 25. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990;215(3):403–410. pmid:2231712
  26. 26. Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013;30(4):772–780. pmid:23329690
  27. 27. Hasegawa M, Kishino H, Yano T. Dating of the human-ape splitting by a molecular clock of mitochondrial DNA. J Mol Evol. 1985;22(2):160–174. pmid:3934395
  28. 28. Weising K, Nybom H, Wolff K, Kahl G. DNA Fingerprinting in Plants: Principles, Methods, and Applications, Second Edition. 2nd ed. Boca Raton: CRC Press; 2005.
  29. 29. Karol KG, Arumuganathan K, Boore JL, Duffy AM, Everett KD, Hall JD, et al. Complete plastome sequences of Equisetum arvense and Isoetes flaccida: implications for phylogeny and plastid genome evolution of early land plant lineages. BMC Evol Biol. 2010;10:321. pmid:20969798
  30. 30. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, et al. SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing. J Comput Biol. 2012;19(5):455–477. pmid:22506599
  31. 31. Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9(4):357–359. pmid:22388286
  32. 32. Sullivan MJ, Petty NK, Beatson SA. Easyfig: a genome comparison visualizer. Bioinformatics. 2011;27(7):1009–1010. pmid:21278367
  33. 33. Wyman SK, Jansen RK, Boore JL. Automatic annotation of organellar genomes with DOGMA. Bioinformatics. 2004;20(17):3252–3255. pmid:15180927
  34. 34. Liu C, Shi L, Zhu Y, Chen H, Zhang J, Lin X, et al. CpGAVAS, an integrated web server for the annotation, visualization, analysis, and GenBank submission of completely sequenced chloroplast genome sequences. BMC Genomics. 2012;13:715. pmid:23256920
  35. 35. Gurevich A, Saveliev V, Vyahhi N, Tesler G. QUAST: quality assessment tool for genome assemblies. Bioinformatics. 2013;29(8):1072–1075. pmid:23422339
  36. 36. Frazer KA, Pachter L, Poliakov A, Rubin EM, Dubchak I. VISTA: computational tools for comparative genomics. Nucleic Acids Res. 2004;32(Web Server issue):W273–279. pmid:15215394
  37. 37. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics. 2009;25(16):2078–2079. pmid:19505943
  38. 38. Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, et al. Orchestrating high-throughput genomic analysis with Bioconductor. Nat Methods. 2015;12(2):115–121. pmid:25633503
  39. 39. Erdtman G. An introduction to pollen analysis. Waltham: Chronica Botanica Company; 1943.
  40. 40. Small R, Hickey R. Systematics of the Northern Andean Isoetes karstenii Complex. Am Fern J. 2001;91:41–69
  41. 41. Prada C, Rolleri CH. Caracteres diagnósticos foliares en táxones ibéricos de Isoetes L. (Isoetaceae, Pteridophyta). Anales del Real Jardín Botánico de Madrid 2003;60:371–386.
  42. 42. Robert D. Étude, en microscopie électronique, des modalities d’edification des parois microsporales chez Selaginella selaginoides (L.). Mise en place du feuillet externe. C R Acad Sci Paris 1971;273:332–335.
  43. 43. Robert D, Roland-Heydacker F, J. D, Laroche J, Fougeroux P, Davignon L. Étude de la paroi siliceuse chez la mégaspore d’Isoetes setacea. Adansonia 1973;13:313–332.
  44. 44. Sahoo PK, Guimaraes JT, Souza-Filho PW, Silva MS, Silva ROJ, Pessim G, et al. Influence of seasonal variation on the hydro-biogeochemical characteristics of two upland lakes in the Southeastern Amazon, Brazil. An Acad Bras Cienc. 2016;88(4):2211–2227. pmid:27991958
  45. 45. De Storme N, Zamariola L, Mau M, Sharbel TF, Geelen D. Volume-based pollen size analysis: an advanced method to assess somatic and gametophytic ploidy in flowering plants. Plant Reprod. 2013;26(2):65–81. pmid:23686220
  46. 46. Wu CS, Lin CP, Hsu CY, Wang RJ, Chaw SM. Comparative chloroplast genomes of pinaceae: insights into the mechanism of diversified genomic organizations. Genome Biol Evol. 2011;3:309–319. pmid:21402866
  47. 47. Funk HT, Berg S, Krupinska K, Maier UG, Krause K. Complete DNA sequences of the plastid genomes of two parasitic flowering plant species, Cuscuta reflexa and Cuscuta gronovii. BMC Plant Biol. 2007;7:45. pmid:17714582
  48. 48. Lu JM, Zhang N, Du XY, Wen J, Li DZ. Chloroplast phylogenomics resolves key relationships in ferns. J Syst Evol. 2017;53(5):448–457.
  49. 49. Keller J, Rousseau-Gueutin M, Martin GE, Morice J, Boutte J, Coissac E, et al. The evolutionary fate of the chloroplast and nuclear rps16 genes as revealed through the sequencing and comparative analyses of four novel legume chloroplast genomes from Lupinus. DNA Res. 2017;24(4):343–358. pmid:28338826
  50. 50. Wolf PG, Der JP, Duffy AM, Davidson JB, Grusz AL, Pryer KM. The evolution of chloroplast genes and genomes in ferns. Plant Mol Biol. 2011;76(3–5):251–261. pmid:20976559
  51. 51. Kim HT, Chung MG, Kim KJ. Chloroplast genome evolution in early diverged leptosporangiate ferns. Mol Cells. 2014;37(5):372–382. pmid:24823358