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. 2026 Oct 2;15(19):1752. doi: 10.3390/biology15191752

Assessing the Small Nuclear Ribosomal Subunit (18S rRNA) as a Potential Barcoding Gene for Amphipoda (Malacostraca: Peracarida) Along with the Design of a Unique Primer Set to Target the Amphipod 18S rRNA Gene

Thomas R Sawicki 1,*, Andrew G Cannizzaro 2, Joshua M Sisco 1
Editors: Laorsri Sanoamuang, Alejandro M Maeda-Martinez
PMCID: PMC13664141  PMID: 42883424

Simple Summary

Traditionally, determining the taxonomic identity of an organism has required detailed morphological examination by highly skilled taxonomists. However, genetic data have revealed substantial hidden diversity, including cryptic species that are genetically distinct despite being morphologically very similar. As genetic databases have grown, scientists have increasingly used DNA sequences to identify species through a process known as DNA barcoding. The mitochondrial cytochrome oxidase I (COI) gene is commonly used for this purpose, but its high variability can complicate amplification and sequencing, and nuclear copies of mitochondrial DNA can sometimes produce misleading sequences. The nuclear 18S ribosomal RNA gene is easier to amplify across diverse organisms but is generally considered too conserved for species-level identification. Amphipod crustaceans, however, possess unusually large variable regions within the 18S gene. Here, we identify an approximately 500–600 base pair amphipod region of hypervariability and develop new primers to amplify the 18S gene, including this region. Our analyses demonstrate that this hypervariable region can differentiate closely related amphipod species, supporting its use as a potential complement to COI for amphipod species identification and future taxonomic studies.

Keywords: cryptic species, phylogenetics, Crustacea, COI

Abstract

The mitochondrial cytochrome oxidase I (COI) gene is frequently used as a barcoding gene for the identification of numerous taxa, including crustaceans such as amphipods. The gene’s variability, which makes it useful for barcoding, can also create primer annealing issues that can inhibit amplification and sequencing, and nuclear copies of mitochondrial DNA (NUMTs) can sometimes preferentially amplify over the mitochondrial COI target locus. The small nuclear ribosomal gene (18S rRNA) can overcome issues of amplification and sequencing as primers can be designed to target highly conserved regions, making it useful across a wide variety of taxa. Due to its conserved nature, the 18S rRNA gene has not been considered a strong candidate for barcoding. Peracarid crustaceans have an insertion within the V4 hypervariable region, and amphipods are unique amongst the peracarids with an additional insertion in the V5 hypervariable region, which could make this part of the gene large and variable enough to target for barcoding. Herein, we present three primer sets designed for Amphipoda that amplify the majority of the 18S rRNA gene, including one pair (18S450F-18S1500R) that captures the V4/V5 hypervariable regions. Analyses utilizing tree-building algorithms and two species delimitation models demonstrate the potential utility of the gene region amplified by the 18S450F-18S1500R primers for barcoding. The utility of this gene for barcoding will depend on researchers incorporating this locus into future species descriptions and phylogenetic studies.

1. Introduction

Amphipoda is one of the most ecologically diverse and speciose orders of malacostracan crustaceans, composed of over 10,000 species divided into six suborders [1,2,3]. In marine environments, amphipods occur from polar to tropical regions, and in extraordinarily diverse habitats, ranging from littoral to hadal zones, with taxa occurring as deep as ‘Challenger Deep’ within the Mariana trench [4,5,6]. Amphipods display similar diversity in freshwater systems, with taxa occurring in nearly all forms of freshwater environments, including lakes, rivers, streams, marshes, springs, seeps, and caves; in hypogean systems like caves, amphipods are often some of the most abundant taxa recorded [7,8,9,10].

As members of the superorder Peracarida, amphipods brood their young and lack a larval stage capable of long-range dispersal [8,10]. Due to this fact, along with their generally small size (usually between 2 and 20 mm), amphipods possess intrinsic barriers to dispersal not found in other taxa; these can result in considerable restrictions to gene flow across broadly distributed metapopulations [11,12]. Significant work has been conducted in recent years demonstrating high levels of cryptic diversity within amphipod species in a variety of environments, both freshwater and marine, as well as epigean and hypogean [11,12,13,14,15,16,17]. Despite representing distinct molecular lineages, cryptic species often display little to no morphological differentiation, which can result in even taxonomic experts incorrectly identifying a species where identity is based on morphology alone [18].

Aside from morphological examination, a common way of identifying species is via ‘molecular barcoding’, where individuals are sequenced at a specific locus and then compared with a reference database, such as GenBank. One of the most common loci used for barcoding across most metazoan taxa is the mitochondrial cytochrome oxidase subunit I (COI [12,19,20,21]). Despite its ubiquity in both barcoding and in phylogenetic studies, use of the COI locus can present some issues, including the following: (I) due to their hypervariable nature, primers occasionally fail amongst closely related taxa or even across individuals of the same species collected from the same location requiring the production of custom internal primers [17,22,23,24]; (II) the presence of nuclear copies of mitochondrial DNA (NUMTS [25]), which can either prevent sequencing due to the amplification of both target and NUMT sequences or produce pseudogene sequences [26,27,28]; (III) amplification using ‘universal’ primers, such as the commonly used LCO1490/HCO2198 primers [29], will sometimes amplify non-target DNA, leading to the sequencing of ‘contaminant’ taxa such as prokaryotes or fungi instead of the intended organism [30,31].

Due to the presence of hypervariable regions (particularly the V4 and V7 in which large insertions often occur), the nuclear small-subunit ribosomal RNA gene (18S rRNA) varies significantly in length across metazoan taxa [32] with range lengths varying among peracarids from approximately 1800–2900 base pairs [33,34]. The length of the gene along with the high degree of sequence conservation among the hypervariable regions has resulted in this locus being commonly used for phylogenetic analyses, particularly to assess relationships among deeply divergent taxa [35,36,37]. Due to its highly conserved nature, the gene is often considered incompatible, or at best weakly compatible, for species-level identification [38,39,40]. Despite this, it has been documented to be effective at species delimitation across a variety of amphipod families including leucothoids [41,42], parabogidiellids and crangonyctids [43,44] and gammarids [12,16]. This utility is, in large part, due to the presence of an insertion within the V4 hypervariable region unique to peracarids (excluding Mysida, Lophogastrida and Mictacea), with amphipods unique amongst peracarids in possessing an additional insertion in the V5 hypervariable region [33]. Among Amphipoda, the V4/V5 hypervariable regions occur in proximity within a region of approximately 700–1200/1300 base pairs along the transcript. This approximately 500–600 bp region, which from hereon we call the AROH (amphipod region of hypervariability), has been demonstrated to be able to delimit even closely related amphipod species [18].

Unlike the common ‘universal’ primer sets utilized for COI, several 18S rRNA primer sets have been designed for various metazoans [45,46,47]. For peracarids, a primer set designed by Spears et al. [33] is available; however phylogenetic studies for Amphipoda commonly use primers first published by English & Koenemann [48] (see [15,44,49]). The Englisch & Koenemann [48] primers were not designed specifically for amphipods (Englisch, personal communication) and periodically fail to produce amplicons and/or quality sequences, particularly when attempting to capture the AROH, due to the increased variability in this region. To remedy this, we present three novel primer sets designed to sequence ~2100 base pairs of the 18S rRNA for nearly all amphipod crustaceans, with one of the three sets specifically targeting the AROH (and additionally encompassing the much less variable V3 and V6 regions). This primer set produces a sequence of approximately 900 base pairs that may be useful as a barcoding gene for species within the order. Herein, we test the potential use of this locus for barcoding.

2. Materials and Methods

2.1. Sampling and Morphological Examination

Individuals collected as a part of this project were either obtained using dip/hand nets or with a ‘Sket bottle’ [50] while SCUBA diving (as was the case for the population of Gammarus minus, Say, 1818, from Scherr Spring). All specimens were preserved in 100% molecular-grade ethanol and stored at −30 to −80 °C (Table 1). Initial morphological identification was conducted by comparing diagnostic characteristics and/or utilizing dichotomous keys in Bousfield [4,51] and Lecroy [5,52,53].

Table 1.

Individuals that were used for various aspects of this study. Species that were amplified to test the new 18S rRNA primers (shaded light-gray). Unshaded cells are species used to create the dendrograms and phylogenetic tree. GenBank accession numbers for individuals collected and sequenced as part of this study are in bold.

Suborder Family Species Location Accession #
Senticaudata Ampithoidae Cymadusa compta Kiwanis Park, Brevard County, FL QB063750 .1
Corophiidae Apocorophium lacustre Shell Harbor, Putnam County, FL QB063755 .1
Crangonyctidae Crangonyx grandimanus Indian Cave, Marion County, FL PQ522380
Stygobromus floridanus Hole in the Wall Cave, Jackson County, FL QB063747 .1
Crangonyx apalachee Lake Jackson, Leon County, FL OM845753
Crangonyx sp. Lake Miccosukee, Jefferson County, FL OM845750
Crangonyx hobbsi Herzog Cave, Alachua County, FL PQ522382
Crangonyx parhobbsi Madison Blue Spring, Madison County, FL PQ522379
Crangonyx manubrium Hole in the Wall Cave, Jackson County, FL PQ522353
Crangonyx nr. floridanus LeTort Spring Run, Cumberland County, PA PQ522385
Crangonyx floridanus sensu stricto Cross Creek, Alachua County, FL AJ966707
Gammaridae Gammarus minus Scherr Spring, Grant County, WV QB063753
Gammarus minus Scherr Spring, Grant County, WV QB063754
Gammarus minus Spring Creek, Warren County, PA QB063757
Gammarus minus Thompson Spring, Centre County, PA QB063758
Gammarus minus Cedar Run, Lycoming County, PA PZ274481
Gammarus minus Conestoga River Tributary, Lancaster County, PA PZ274484
Gammarus minus LeTort Spring Run, Cumberland County, PA PZ274479
Gammarus minus Pickerel Creek, Greene County, MO PZ274456
Gammarus minus Wissahickon Spring, Philadelphia County, PA QB063761
Gammarus minus Aquetong Spring, Bucks County, PA PZ274470
Gammarus minus Valley Creek Spring, Chester County, PA PZ274473
Gammarus minus Culverson Creek Cave, Greenbriar County, WV PZ274461
Gammarus minus Pine Hill Cave, Rockcastle, KY PZ274463
Gammarus minus Saucon Creek Spring, Lehigh County, PA PZ274468
Gammarus minus Cave Cove Cave, Franklin County, TN PZ274462
Gammarus minus Moundview Park, Hamilton County, OH PZ274464
Gammarus minus Spring Park, Colbert County, AL PZ274458
Gammarus minus Doe Run, Meade County, KY PZ274475
Gammarus minus Illinois EF582918
Gammarus troglophilus Rich’s Cave, Union County, IL PQ814315
Gammarus lecroyae Wakulla River, Wakulla County, FL QB063759
Artesiidae Artesia subterranea Comal Springs, Comal County, TX QB063743
Hadziidae Paraholsingerius smaragdinus Dolan Spring, Val Verde County, TX QB063741
Hyalellidae Hyalella wakulla Wakulla River, Wakulla County, FL QB063760
Hyalella cretae Chalk Spring, Nye County, NV OR763358
Hyalella cretae Point of Rocks, Nye County, NV OR763363
Hyalella tiwanaku Lago Umayo, Atuncolla District, Peru MT823224
Hyalella meraspinosa Ash Spring, Lincoln County, NV QB075619
Hyalella dentata Aspen Lake, El Paso county, CO PX093675
Hyalella tiburtiniphila Hot Creek Spring, Nye County, NV QB075620
Hyalella plutonia spring near Hwy 95/Oleo Rd, Nye County, NV PX560105
Hyalella keepuikantun Devils Hole II, Nye County, NV PX560103
Talitridae Mexorchestia carpenteri Wakulla Beach, Wakulla County, FL QB063739
Brevitalitridae Talitroides alluaudi Ocala Rd, Leon County, FL QB063740
Amphilochidea Seborgiidae Seborgia relicta Comal Springs, Comal County, TX QB063742

2.2. Developing a Reference Database and Primer Design

A local database of 18S rRNA sequences was developed by querying GenBank for members of Amphipoda (Table 2). Of the sequences present within the GenBank database, only sequences with a minimum length of 2300 base pairs were retained and used for primer development. In addition to amphipod sequences, Ingolfiella tabularis Stock, 1977, (Order: Ingolfiellida) was also included due to the high levels of similarity among these orders. Sequences were aligned using MAFFT (v.7.388 [54,55]) in GENEIOUS PRIME (v.10.2.3; www.geneious.com [56]) and the ‘Geneious Alignment’ tool in GENEIOUS PRIME. Primers were designed using the ‘Design New Primers’ tool (Primer 3 [57]) available in GENEIOUS PRIME and further modified by eye. To capture most of the gene, three primer pairs were designed based on the following criteria (see Figure 1 for primer annealing sites):

Table 2.

GenBank accession numbers used to design the 18S rRNA primers in this study.

Suborder Family Species Accession #
Amphilochidea Amphilochidae Amphilochius tenuimanus DQ378029
Eusiridae Eusirus cf. microps DQ378011
Haustoriidae Haustorius arenarius AY826950
Vicmusiidae Acanthonotozomopisis pushkini DQ378038
Iphimediidae Pariphimedia integricauda DQ378001
Leucothoidae Leucothoe spinicarpa DQ378025
Tryphosidae Lepidepecreum umbo AY826968
Uristidae Onisimus glacialis JF266614
Uristes murrayi AY826965
Oedicerotidae Bathymedon obtusifrons AF419236
Monoculodes packardi DQ378015
Paroediceros propinquus AF419231
Colomastigidea Colomastigidae Colomastix fissilingua DQ378032
Hyperiidea Hyperiidae Cyllopus lucasii DQ378042
Hyperia galba DQ378046
Themisto compressa DQ378048
Mimonectidae Mimonectes loveni KC428907
Vibiliidae Vibilia antarctica DQ378044
Senticaudata Corophiidae Corophium volutator DQ378027
Crangonyctidae Uralocrangonyx chlebnikovi HQ286017
Synurella ambulans HQ286018
Gammaridae Gammarus wilkitzkii JF266609
Hyalidae Parhyale hawaiensis AY826957
Talitridae Deshayesorchestia deshayesi AY826956
Ingolfiellida Ingolfiellidae Ingolfiella tabularis DQ378054

Figure 1.

Figure 1

Relative positions of hypervariable regions in the 18S rDNA among selected taxa placed on linear maps: (A) Amphipoda: positions of newly designed primers are also indicated above and below the map; (B) non-amphipod peracarids; (C) non-peracarid eukaryotes, modified from [45]. For all taxa, the V4 and V5 hypervariable regions are indicated in a different color.

  • (1)

    Primer size ranges between 18 and 25 base pairs, with the optimal set at 20;

  • (2)

    Tm ranges between 57 °C and 64 °C, with the optimal set at 60 °C; %GC range between 20 and 80, with the optimal set at 50;

  • (3)

    Primers are 100% conserved across most taxa used for the design—maximum mismatches of four base pairs across the entire primer, with 0 mismatches within the last six base pairs;

  • (4)

    GC clamp (or sequence ending with a G or C) on the 5′ and 3′ ends of each primer;

  • (5)

    Annealing temperatures within 5 °C for each pair of primers;

  • (6)

    For the optimal downstream sequencing, the products of each primer pair of approximately 1000 base pairs or less;

  • (7)

    Primer pair products with sufficient overlap so that alignments of each section produce contiguous sequences.

The three resultant primer pairs (ts18SF-18S650R; 18S450F-18S1500R; and 18S1350F-18S2230R) (see Table 3) produced amplicons ranging in length from approximately 650 to 900–1000 base pairs in length.

Table 3.

Primer names and sequences designed for this study along with melting temperatures and GC% for each primer. Primer names indicate the base pair range where the primers bind along the transcript.

Primer Name Primer Sequences 5′-3′ Tm (°C) GC%
ts18SF GATCCTGCCAGTAGTCATATGC 62.7 50.0
18S650R GAATTACCGCGGCTGCTGGC 66.6 65.0
18S450F GATTCCGGAGAGGCAGCC 64.5 66.7
18S1500R GGTGCCTTTCCGTCAATTCC 62.4 55.0
18S1350F CGAAGGCGATCAGATACCGC 64.5 60.0
18S2230R CAATCGGTAGTAGCGACGGGC 66.5 61.9

2.3. In Silico Testing

The three generated primer pairs (Table 3) were analyzed for secondary structures (hairpins and primer-dimers) and for self-complementarity using the online Oligonucleotide Properties Calculator v. 3.27 [58]. Each primer set was tested against the SILVA SSU r138.2 Database [59], with no mismatches allowed, to determine its ability to anneal with amphipod sequences. Primer sequences demonstrated a high degree of conformity across all species used to generate the primers, with the most mismatches exhibited among hyperiid species (4 across the 22 base pairs) in the ts18SF primer. All other species exhibited only a single mismatching base pair across all designed primers, and the 18S1350F primer was 100% conserved across all taxa analyzed (Table 4).

Table 4.

Primer sequence conformity across all species used for the primer design. Dots indicate no base pair differences. Dashes in the sequences of Parhyale hawaiensis (Dana, 1853), Deshayesorchestia deshayesi (Audouin, 1826) (ts18SF), and Acanthonotozomopsis pushkini (Bushueva, 1978) (18S2230R) indicate insertions. The primer 18S1350F exhibited 100% sequence conformity across all species and, thus, is not listed. All sequences are written in a 5′–3′ direction.

Species Sequence Conformity
ts18SF
GATCCTGCCAGTAGTCATATGC
18S650R
GAATTACCGCGGCTGCTGGC
18S450F
GATTCCGGAGAGGCAGCC
18S1500R
GGTGCCTTTCCGTCAATTCC
18S2230R
CAATCGGTAGTAGCGACGGGC
Amphilochius tenuimanus · · · · · · · · · · · · · · · T· · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Eusirus cf. microps · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Haustorius arenarius · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · C· · · · · · · · · · · · · · G· · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Acanthonotozomopsis pushkini · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · T· – · · · · · · ·
Pariphimedia integricauda · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Leucothoe spinicarpa · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Lepidepecreum umbo · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Onisimus glacialis · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Bathymedon obtusifrons · · · · · · · · · · · · · · · G· · · · · · · · · · · · · · · · · · · · · · · · · · · G· · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Monoculodes packardi · · · · · · · · · · · · · · · G· · · · · · · · · · · · · · · · · · · · · · · · · · · G· · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Colomastix fissilingua · · · · · · · · · · · · · · · T· · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · T· · · · · · · · · · · ·
Cyllopus lucasi · · · · · · · · · · · · AGTC· · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Hyperia galba · · · · · · · · · · · · AGTC· · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Themisto compressa · · · · · · · · · · · · AGTC· · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Mimonectes loveni N/A · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Vibilia antarctica · · · · · · · · · · · · AGTC· · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Corophium volutator · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Uralcrangonyx chlebnikovi · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Synurella ambulans · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Gammarus wilkitzkii · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Paroediceros propinquus · · · · · · · · · · · · · · · G· · · · · · · · · · · · · · · · · · · · · · · · · · · G· · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Parhyale hawaiensis · · · · · · · · · · · · · · · – · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Deshayesorchestia deshayesi · · · · · · · · · · · · · · · – · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Uristes murrayi · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · G· · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · ·
Ingolfiella tabularis · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · G· · · · · · · · · · · · · · · · · · G· · · · · · · · · · · · · · · · · · · · · · · · · · ·

2.4. Empirical Testing—PCR Preparation, Thermal Cycler Protocols, and Sequencing

Primers were tested on species from a variety of amphipod families to ensure efficacy of both the amplification and Sanger sequencing (Table 1). Genomic DNA extractions were performed using the Quick-DNA™ Miniprep Plus Kit (Zymo Research, Irvine, CA, USA) following the modification of the manufacturer’s protocol. Whole-body specimens were used for DNA extraction. In each extraction, 85 µL of molecular-grade water, instead of the recommended 95 µL, 95 µL Solid Tissue Buffer, and 20 µL Proteinase K, instead of the recommended 10 µL, were used. In cases where the tissue sample was not completely submerged in the prepared lysis solution, the volumes of all lysis solution components were doubled. Samples were incubated at 55 °C for approximately 4 h until the internal tissues were largely dissolved, instead of the 1–3 h incubation period specified in the manufacturer’s protocol (the exoskeleton remained intact after digestion). Following incubation, lysates were transferred to clean microcentrifuge tubes and the purification steps were carried out according to the manufacturer’s protocol. Eluted DNA was stored at −20 °C.

PCR reactions consisted of 12.5 μL APEX Red 2X Master Mix DNA Polymerase (Genesee Scientific, El Cajon, CA, USA), 1 μL of each primer at a concentration of 10 μM, and 8 μL of molecular-grade water. Reactions were carried out using a MultiGene OptiMax thermal cycler (Labnet International, Edison, NJ, USA). Negative controls, in which genomic DNA was omitted from the reaction, were included to monitor for potential contamination. Thermal cycler protocols for each gene segment were as follows (primer names indicate the base-pair range where the primers bind along the transcript):

  • (I)

    ts18SF/18S650R: 95 °C initial heating for 5 min, followed by 28–30 cycles at 95 °C for 30 s, 62.7 °C for 30 s, and 72 °C for 50 s, ending with a 10 min extension at 72 °C;

  • (II)

    18S450F/18S1500R: 95 °C initial heating for 5 min, followed by 28–30 cycles at 95 °C for 30 s, 62.4 °C for 30 s, 72 °C for 1 min and 10 s ending with a 10 min extension at 72 °C;

  • (III)

    18S1350F/18S2230R: 95 °C initial heating for 5 min, followed by 28–30 cycles at 95 °C for 30 s, 64.5 °C for 30 s, 72 °C for 1 min and 5 s, ending with a 10 min extension at 72 °C.

PCR products were prepared for sequencing using Exo-CIP Rapid PCR Cleanup (New England Biolabs, Ipswich, MA, USA) or Zymoclean™ Gel DNA Recovery Kit (Zymo Research, Irvine, CA, USA). Sequencing of purified PCR products was carried out at Eurofins Genomics (Louisville, KY, USA) using an industry-standard Sanger sequencing methodology. All sequences generated as a part of this study were submitted to GenBank (Table 1).

High-quality percentage scores (HQ%) (i.e., the number of bases exceeding a 95% confidence threshold divided by the total number of bases in the untrimmed sequence, multiplied by 100) were calculated from the raw, untrimmed chromatograms prior to sequence editing or alignment. Following this initial quality assessment, low-quality sequences at the 5′ and 3′ ends were trimmed, reverse reads were reverse-complemented, and forward and reverse reads were aligned. Homologous sequences from multiple individuals were examined manually for potential ambiguous or conflicting base calls using the chromatogram traces to distinguish between potential sequencing errors and reproducible nucleotide variation. Additionally, the 18S locus of 65 individuals examining 10 families and 11 genera (ranging from 1206–2220 base pairs) was examined to determine the number of ambiguities (i.e., heterozygosity) within individuals and intraspecific variability by examining the chromatograms and via MAFFT alignments (Table S1).

2.5. Distance Matrices and Phylogenetic Analysis

To assess the ability of the V4/V5 hypervariable region of the 18S rRNA gene to function as a potential barcoding gene for Amphipoda, the gene sequence region amplified by the 18S450F/18S1500R primer pair was analyzed for closely related species in three different families: Crangonyctidae (genus Crangonyx Bate, 1859), Gammaridae (genus Gammarus Fabricius, 1775), and Hyalellidae (genus Hyalella Smith, 1874). For species in the genera Crangonyx and Hyalella, sequences were either downloaded from GenBank or generated as part of this study (Table 1), aligned, and trimmed to the length of the 18S450F/18S1500R region.

For the genera Crangonyx and Hyalella, uncorrected p-distances were calculated from sequence alignments using the dist.dna function in the ape package (v. 5.8-1 [60]). Dendrograms and heatmaps of genetic distances were produced in R using the gplots package (v. 3.1.3.1, see https://github.com/talgalili/gplots accessed on 6 May 2026), with default settings under the heatmap.2 function. For the genus Gammarus, the sequences of two specimens morphologically identified as Gammarus minus, from Scherr Spring, West Virginia, USA, were compared with members of the clades within the species complex identified by Cannizzaro et al. [61] using IQ-TREE v2.6 [62] and utilizing the MODELFINDER algorithm to select the best-fitting substitution models, which were analyzed under an edge-linked model. The Three-Parameter Model with unequal base frequencies, empirical base frequencies, and a proportion of invariable sites (TPM3u+F+I) was used. Statistical support was estimated using 10,000 ultrafast bootstrap replicates [63] and the Shimodaira–Hasegawa approximate likelihood test [64,65].

2.6. Species Delimitation

Species delimitation was performed for the Crangonyx and Hyalella species for both the 18S rRNA locus, as well as the COI locus for comparison. Two models were used: Automatic Barcode Gap Discovery (ABGD) [66] and the Assemble Species by Automatic Partitioning (ASAP) [67] employing the Spart Explorer platform ([68]; https://spartexplorer.mnhn.fr/delimitation accessed on 2 July 2026 ). The Kimura 2-parameter model (K80) was employed, which allows for transitions and transversions to occur at different rates, thereby accounting for differences in substitution patterns, with a transition/transversion ratio of 2.0, and all other parameters set to default values (ABGD: X = 1.5, Pmin = 0.001, and Pmax = 0.1; number of steps in Pmin, Pmax = 10, and number of bins = 20; ASAP: split groups below a probability of 0.001, number of best scores = 10, and a fixed seed value = −1). The species delimitation model was not used for the Gammarus minus phylogeny, as the goal of this analysis was to determine whether the 18S rRNA locus alone could reconstruct the three phylogeographic clade model identified by Cannizzaro et al. [61] and to determine whether sequences generated for the two G. minus individuals collected from Scherr Spring, West Virginia, would correctly align phylogeographically.

3. Results

3.1. Amplification and Sequencing

All permutations of primer pair amplifications produced high-quality reproducible amplicons for all 17 individuals tested (Table 1), with most sequences exhibiting pretrimmed chromatogram High-Quality (HQ) scores > 80%. Mean HQ% scores and ranges for the 17 individuals tested were as follows: 18SF: mean = 91.2%, range = 84.0–95.1%; 18S650R: mean = 90.5%, range = 62.7–96.8%; 18S450F: mean = 86.4%, range = 75.7–92.3%; 18S1500R: mean = 89.4%, range = 75.8–95.6%; 18S1350F: mean = 85.6%, range = 74–93.1%; 18S2230R: mean = 90.2%, range = 86.1–97.4%. Out of the 96 sequences, only 10 were <80% HQ score. All primer pairs successfully amplified the target regions across all tested species, with approximately 92% of amplicons producing useable sequences on the initial attempt. Amplicons that did not successfully sequence on the first attempt produced useable sequences upon resequencing. All sequences were deposited in GenBank (Table 1 and Table S1).

The examination of 65 individuals to determine the number of ambiguities (i.e., heterozygosity) demonstrated zero heterozygous sequences. In addition, the maximum intraspecific base pair differences across the 23 species examined was one base pair (Table S1).

3.2. Phylogenetic Analyses

The dendrograms reconstructed for closely related Crangonyx and Hyalella species using only the region amplified by the 18S450F-18S1500R primers differentiated even closely related species (i.e., C. hobbsi Shoemaker, 1941/C. parhobbsi Cannizzaro and Sawicki, 2020; H. plutonia Cannizzaro, Lang & Berg, 2025/H. keepuikantun Cannizzaro, Lang & Berg, 2025) with p-distances ranging from 0.001–0.03 (Figure 2). The dendrogram reconstructing Crangonyx and Hyalella species using the COI locus clearly differentiated even closely related species with p-distances ranging from 0.075–0.338 (Figure 3). The maximum-likelihood tree examining the Gammarus minus metapopulation successfully reproduced the three clades defined by Cannizzaro et al. [61]; (I) the Susquehanna-Potomac clade containing populations within the Susquehanna drainage of central Pennsylvania and the Potomac drainage of West Virginia; (II) the Ozark clade containing populations from southern Illinois and Missouri; (III) the broadly distributed Circum-Appalachian clade ranging from eastern Pennsylvania, south down the Appalachian Mountains, and west into the interior plateau (Figure 4). The two individuals from Scherr Spring in West Virginia fell out in the Susquehanna-Potomac clade (Figure 4).

Figure 2.

Figure 2

Genetic distance comparison (uncorrected genetic p-distance/base pairs) of the 18S rRNA among selected members of the genus Crangonyx (A) and Hyalella (B) based on the region of the 18S rRNA amplified by the 18S450F-18S1500R primers, which amplify the AROH.

Figure 3.

Figure 3

Genetic distance comparison (uncorrected genetic p-distance/base pairs) of COI among selected members of the genus Crangonyx (A) and Hyalella (B).

Figure 4.

Figure 4

Maximum-likelihood phylogeny reconstructed for selected members of the genus Gammarus using IQ-TREE. Node support is indicated by shaded circles placed on the nodes; weakly supported nodes (<50%) are not marked. Lineages within Gammarus minus, as identified by Cannizzaro et al. [61], are marked by colored gradients, and newly sequenced individuals (Scherr Spring, WV, USA) are colored in red. Inset: G. minus Scherr Spring, West Virginia, USA; scale bar = 1 mm. Abbreviations: SH-aLRT, Shimodaira–Hasegawa approximate likelihood ratio test; UFBS, ultrafast bootstrap.

3.3. Species Delimitation

18S rRNA locus: for Crangonyx species, the ASAP analysis produced seven partitions, successfully differentiating all taxa as separate species, except C. hobbsi and C. parhobbsi (partition = 1; ASAP score = 2.5; probability = 1.237525 × 10−1); however, the ABGD analysis produced eight partitions, successfully differentiating C. hobbsi and C. parhobbsi as separate species (Table 5). For the Hyalella species the ASAP analysis produced four partitions (partition = 1; ASAP score = 1.5; probability = 4.091816 × 10−1); however, the ABGD analysis produced seven partitions, successfully differentiating all terminal taxa, except for H. cretae and H. keepuikantun, which exhibited a p-distance of 0.001 (Table 5). COI locus: both the ASAP and ABGD models successfully partitioned all examined species in both genera; however, for Hyalella, only six of the eight species (and nine individuals) analyzed for the 18S locus were analyzed for COI, as the H. cretae (Chalk Spring) individual, H. keepuikantun, and H. plutonia only produced pseudogenes (as indicated by multiple stop codons across all three reading frames when analyzed as protein coding mitochondrial DNA) and were, therefore, excluded from the analysis (Table 5).

Table 5.

Summary of ABGD and ASAP species delimitation results. The COI species-delimitation analyses for Hyalella included fewer taxa than the corresponding 18S analyses, because three individuals produced COI pseudogene sequences (H. cretae from Chalk Spring; H. keepuikantun; and H. plutonia) and were, therefore, excluded from the COI dataset.

Genus Locus Method Model/Score Information Delimited
Subsets
Results
Crangonyx 18S ABGD K80; MinSlope = 1.5; barcode gap distances = 0.001, 0.00167, 0.00278, 0.00464, 0.00774, 0.0129, 0.0215, 0.03594 8, 8, 8, 3, 3, 2, 2, 2 Stable high-resolution solution of all 8 species used in the analysis in partitions 1–3; progressively broader lumping at higher distance thresholds.
Crangonyx 18S ASAP ASAP score = 2.5; probability = 0.1237525 7 with recursion; 6 without recursion Best ASAP partition recovered 7 groups with recursion; C. hobbsi and C. parhobbsi were grouped together.
Crangonyx COI ABGD K80; MinSlope = 1.5; barcode gap distances = 0.001, 0.00167, 0.00278, 0.00464, 0.00774, 0.0129, 0.0215, 0.0359, 0.05995 8, 8, 8, 8, 8, 8, 8, 8, 8 All 8 taxa were consistently recovered as separate groups.
Crangonyx COI ASAP ASAP score = 1.00; probability = 0.0001399986 8 Best ASAP partition recovered 8 groups.
Hyalella 18S ABGD K80; MinSlope = 1.5; barcode gap distances = 0.001, 0.00167, 0.00278, 0.00464, 0.007742637 7, 7, 7, 4, 4 Stable high-resolution solution of 7 of 8 species in partitions 1–3 (failing to resolve H. cretae and H. keepuikantun, which exhibited a p-distance of 0.001); broader 4-group solution in partitions 4–5.
Hyalella 18S ASAP ASAP score = 1.5; probability = 0.4091816 4 with recursion; 3 without recursion Best ASAP partition recovered 4 groups with recursion; several Mojave/Nevada Hyalella lineages were grouped together.
Hyalella COI ABGD K80; MinSlope = 1.5; barcode gap distances = 0.001, 0.00167, 0.00278, 0.00464, 0.00774, 0.0129, 0.0215, 0.0359, 0.05995 6, 6, 6, 6, 6, 6, 6, 6, 6 All 6 taxa were consistently recovered as separate groups.
Hyalella COI ASAP ASAP score = 1.50; probability = 0.8862275 6 Best ASAP partition recovered 6 groups.

4. Discussion

Species delimitation has long been dominated by highly variable and rapidly evolving mitochondrial loci such as COI, with nuclear loci such as the 18S rRNA often being characterized as too conserved to be used for species delimitation [69,70]. Schram and Koenemann [71] considered the 18S rRNA gene as only having an ‘appropriate level of use’ at the high-level ranks of phylum, class, and order for crustaceans. While much of the 18S rRNA locus is highly conserved, several ‘hypervariable’ regions are present within the locus, which are considerably less conserved [33]. These hypervariable regions have been successfully used as a target for species delimitation in a variety of contexts, including environmental DNA analysis [72] and barcoding [38,73]. Relative to amphipods, significant work has been conducted to show the utility of the locus for species delimitation across multiple families, including leucothoids [41,42], parabogidiellids and crangonyctids [43,44], and gammarids [12,16].

Given that most peracarid crustaceans have a unique insertion in the V4 hypervariable region and amphipods are unique amongst the peracarids with an additional insertion in the V5 hypervariable region (Figure 1; Ref. [33]), amphipods are especially poised to benefit from using the 18S to supplement COI. The primer pair 18S450F/1500R targets the AROH, and, thus, this region of the 18S could be useful for barcoding amphipod crustaceans. Here, we tested this utility using three different amphipod families. These analyses illustrate the potential of this region to distinguish among even closely related species and even phylogenetic variation within species complexes, with all of the species considered here displaying some level of differentiation (Figure 2 and Figure 3).

Crangonyx floridanus Bousfield, 1963, was thought to be native to and broadly distributed across the eastern United States, and it was subsequently introduced to various regions in the western United States, Japan, England, and Ireland and is considered invasive in Japan [18,74]. Crangonyx floridanus was first recorded in Japan by Tamura [75]. John Holsinger, a leading authority on crangonyctid taxonomy, morphologically identified and thoroughly described these amphipods as C. floridanus (Morino et al. [76]). However, Sawicki et al. [18] used the 18S V4 hypervariable region to show that the introduced populations in Japan (as well as in western United States, England, and Ireland) were not C. floridanus sensu stricto were but phylogenetically aligned with populations identified as C. nr. floridanus from Ohio, Pennsylvania, and northern Alabama.

Previous research conducted on the C. floridanus complex, as well as closely related Crangonyx hobbsi and C. parhobbsi species, demonstrated significant issues in amplifying and sequencing COI [18,28,77]. Thus, the C. floridanus complex provides a compelling use case in which an ecologist or environmental scientist collects a putative C. floridanus sample that could represent a possible new range extension but has difficulty amplifying the COI. In such circumstances, the AROH would provide an excellent target for identification, not only for verifying the population as C. floridanus sensu lato but also for resolving its identity to the specific level within the complex.

Relative to the 18S locus, the ASAP species delimitation model did not partition the closely related congeners Crangonyx hobbsi and C. parhobbsi and only produced four partitions for Hyalella spp.; however, the ABGD model fully partitioned all eight Crangonyx spp. and partitioned seven of the eight Hyalella spp. (Table 5). Both the ASAP and ABGD models were able to successfully partition all species analyzed using the more variable COI locus. However, three Hyalella species were not included in the COI analyses (H. cretae from Chalk Spring; H. keepuikantun; and H. plutonia) due to the amplification and sequencing of pseudogenes. Single locus (or even multiple loci) approaches can produce different partitions using different models. This is particularly true amongst closely related congeners with shallow divergences [78]. The fact that ABGD was able to recover all but one pair of the tested nominal species at the 18S locus demonstrates that the AROH contains species-level information, although its resolving power depends on the degree of lineage divergence and the methodology used. For instance, ASAP did not partition congeners exhibiting uncorrected p-distances of 0.001. However, whether or not the AROH can be used to consistently, repeatedly, and accurately partition closely related congeners does not invalidate its potential use for species identification. The 18S locus has often been considered too conserved to be of any use for species-level phylogenetics [69,70,71], but this analysis demonstrates that the AROH does have species resolving power. Importantly, even if a given species delimitation model lumps species together (as ASAP did for species exhibiting an uncorrected p-distance of 0.001), a 0.001 p-distance is sufficient to accurately differentiate unknown individuals to the correct species when conducting BLAST searches in databases such as GenBank. In other words, even if a species delimitation model fails to accurately partition, the differentiation can still be sufficient to barcode.

Although the cytochrome oxidase I (COI) gene is commonly used for barcoding [79], NUMTs [25,26,27,28,77,80,81,82], amplification and sequencing of bacterial genes when using common universal COI primers such as the Folmer [29] LCO1490/HCO2198 primers [17,30,31], and difficulty amplifying the COI, which may require the design of custom internal primers [17,22], can periodically make working with the locus difficult. Interestingly, three of the Hyalella species analyzed here produced pseudogenes, including H. cretae from Chalk Spring, although H. cretae from Point of Rocks was successfully sequenced, demonstrating intraspecific sequencing variability at this locus. Thus, the 18S rRNA gene has significant potential utility for barcoding amphipods, particularly when the COI locus does not easily amplify. The primers are highly conserved and, as a nuclear gene possesses no mitochondrial/microbial analogues, ensure that the amplification and sequencing of the correct target region are likely. The variability and length of the V4/V5 hypervariable region provide a target that should generally be useful for distinguishing among closely related species and even allow for phylogeographic delineation among broadly distributed species (Figure 2 and Figure 3, and Figure S1; Refs. [18,61]).

Although 18S rRNA is part of a multicopy ribosomal gene array (Libertini and Rampin [83]), no heterozygous sites or evidence of intragenomic sequence polymorphism was detected among the 65 amphipod individuals representing 10 families and 11 genera examined in this study (Table S1). This trend has been demonstrated across other amphipod taxa. For instance, Beermann et al. [84] found no intragenomic or intraspecific variation among 18S rRNA sequences of Epimeria cornigera (Fabricius, 1779) and E. frankei (Beerman & Raupach, 2018) in Beerman et al. (2018), which they attributed to “concerted evolution of the rRNA gene clusters”. Their findings are consistent with the sequence homogeneity observed in the present study, providing further evidence for strong evolutionary pressure to maintain sequence homogeneity across 18S copies in amphipods.

Hyalella cretae (Cannizzaro, Lange & Berg, 2023) was described from two locations, Chalk Spring and Point of Rocks Springs (both in Ash Meadows National Wildlife Refuge, Nye County, Nevada), and the populations from these two locations are identical across the AROH, although they demonstrate moderate divergence across the more variable mitochondrial 16S rRNA gene (Figure 2; Ref. [81]). These data suggest that the 18S may not always be variable enough to differentiate across subpopulations, and possibly subspecies, but also provides additional support for the low occurrence of heterozygosity.

However, when intraspecific variation is significant enough, the 18S locus can accurately partition populations phylogeographically (Figure 4). Cannizzaro et al. [61] conducted a phylogeographic study of the G. minus metapopulation. Their results demonstrated that three clades exist within this broadly distributed species: (I) the Susquehanna-Potomac clade containing populations within the Susquehanna drainage of central Pennsylvania and the Potomac drainage of West Virginia; (II) the Ozark clade containing populations from southern Illinois and Missouri; and (III) a broadly distributed Circum-Appalachian clade ranging from eastern Pennsylvania, south down the Appalachian Mountains, and west into the interior plateau. We recently received specimens of G. minus from Scherr Spring, in Grant County, West Virginia, which is located within the Potomac River drainage basin (Table 1). Our results demonstrate that the AROH alone can accurately reproduce the results of the multilocus analysis conducted by Cannizzaro et al. [61], accurately reproducing all three clades (Figure 4), in addition the Scherr Spring, West Virginia, populations nested within the Susquehanna-Potomac clade, as would be predicted by their biogeography (Figure 4).

When compared with the 18S rRNA, COI, as a commonly used barcoding gene, enjoys the advantage of 25+ years of data accumulation, with considerable amounts of sequence data on publicly available databases such as GenBank [85]. For instance, the 18S rRNA sequences produced during this study for the species Cymadusa compta (Smith in Verrill & Smith, 1874) and Apocorphium lacustre (Vanhöffen, 1911) are the first uploaded to GenBank for these species, although multiple COI sequences for both species are found in the database. This shortfall in data can be rectified by the incorporation of the full 18S rRNA gene (or at least enough of the gene to capture the AROH) as part of new species descriptions and phylogenetic analyses. To that end, we used 17 different species representing two suborders and 10 families for primer validation and analyses in this study, and we have subsequently verified the efficacy of these primers across scores of species that will be incorporated into future studies.

5. Conclusions

For Amphipoda, the 18S rRNA may be able to perform with more utility in barcoding and species-level phylogenetics than is traditionally thought. Although we are not suggesting 18S should be used as a substitute for COI, 18S can supplement COI, particularly if difficulty in amplification and sequencing of the COI gene occurs. With both highly conserved and variable regions, the 18S rRNA locus can help stabilize phylogenies, particularly when deeply rooted taxa are used, and simultaneously complement more variable genes for the phylogenetic partitioning of closely related species. Its inclusion as a staple locus in the examination of amphipod phylogenetics will not only accelerate the amount of data available for barcoding use but also greatly complement other loci while generating useful data.

Acknowledgments

We gratefully acknowledge Teddy Garlock and the late Brett Hemphill for collecting amphipods at Scherr Spring in West Virginia. Brett’s contribution to this work is remembered with appreciation. We would also like to thank Beyza Çelikbaş for assistance with some molecular aspects of the study. We thank three anonymous reviewers for the constructive feedback.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/biology15191752/s1, Figure S1: Example alignment of the 18S AROH based on selected members of the Crangonyx floridanus species complex; Table S1: Comparison of the 18S locus across multiple species to determine the degree of ambiguities (i.e., heterozygosity) within individual sequences and the degree of intraspecific variability. Sequences highlighted bold were produced as part of this study..

Author Contributions

Conceptualization, T.R.S.; methodology, T.R.S., A.G.C. and J.M.S.; formal analysis, T.R.S. and A.G.C.; investigation, T.R.S., A.G.C. and J.M.S.; data curation, T.R.S. and A.G.C.; writing—original draft preparation, T.R.S.; writing—review and editing, T.R.S., A.G.C. and J.M.S.; visualization, T.R.S. and A.G.C.; supervision, T.R.S.; project administration, T.R.S. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data underlying this article will be submitted to the GenBank Nucleotide Database at www.ncbi.nlm.nih.gov/genbank/ and can be accessed via the accession numbers provided in Table 1.

Conflicts of Interest

The authors declare no conflicts of interest.

Funding Statement

This project received Title III funding from the US Department of Education to Florida A&M University.

Footnotes

Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

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Associated Data

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

Supplementary Materials

Data Availability Statement

Data underlying this article will be submitted to the GenBank Nucleotide Database at www.ncbi.nlm.nih.gov/genbank/ and can be accessed via the accession numbers provided in Table 1.


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