Literature DB >> 30089124

Testing the utility of DNA barcodes and a preliminary phylogenetic framework for Chinese freshwater mussels (Bivalvia: Unionidae) from the middle and lower Yangtze River.

Rui-Wen Wu1, Yi-Tong Liu1, Sa Wang1, Xiong-Jun Liu2, David T Zanatta3, Kevin J Roe4, Xue-Lin Song1,5, Chang-Ting An1,5, Xiao-Ping Wu1,6.   

Abstract

The middle and lower portions of the Yangtze River basin is the most species-rich region for freshwater mussels in Asia. The management and conservation of the taxa in this region has been greatly hampered by the lack of a well-developed phylogeny and species-level taxonomic framework. In this study, we tested the utility of two mitochondrial genes commonly used as DNA barcodes: the first subunit of the cytochrome oxidase c gene (COI) and the first subunit of the NADH dehydrogenase gene (ND1) for 34 putative species representing 15 genera, and also generated phylogenetic hypotheses for Chinese unionids based on the combined dataset of the two mitochondrial genes. The results showed that both loci performed well as barcodes for species identification, but the ND1 sequences provided better resolution when compared to COI. Based on the two-locus dataset, Bayesian Inference (BI) and Maximum Likelihood (ML) phylogenetic analyses indicated 3 of the 15 genera of Chinese freshwater mussels examined were polyphyletic. Additionally, the analyses placed the 15 genera into 3 subfamilies: Unioninae (Aculamprotula, Cuneopsis, Nodularia and Schistodesmus), Gonideninae (Lamprotula, Solenaia and Ptychorhychus) and Anodontinae (Cristaria, Arconaia, Acuticosta, Lanceolaria, Anemina and Sinoanodonta). Our results contradict previous taxonomic classification that placed the genera Arconaia, Acuticosta and Lanceolaria in the Unioninae. This study represents one of the first attempts to develop a molecular phylogenetic framework for the Chinese members of the Unionidae and will provide a basis for future research on the evolution, ecology, and conservation of Chinese freshwater mussels.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 30089124      PMCID: PMC6082535          DOI: 10.1371/journal.pone.0200956

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Freshwater mussels of the order Unionida comprise a significant proportion of the benthic biomass, and can have a significant influence on the community structure of the benthos [1]. As filter feeders, the Unionida provide important ecological functions and ecosystem services [2]. Current estimates indicate there are 840 species of freshwater mussels in the world, belonging to 6 families and 180 genera. Among them, the Unionidae is by far the most species-rich family with 620 species in 142 genera, and is widely distributed in North America, Eurasia, Central America, Africa and Southeast Asia [3-4]. Freshwater mussels are considered to be some of the most threatened freshwater taxa in the world [5-6]. The middle and lower portions of the Yangtze River basin in China is the most species-rich regions for freshwater mussels in Asia [3, 7], and includes a number of endemic species [8-9]. According to the surveys of species diversity conducted over the last ten years, there are up to 15 genera of Unionidae represented in the middle and lower reaches of the Yangtze River [9-10]. However, in the past two decades, anthropogenic stressors, including habitat destruction and degradation, commercial exploitation, and water pollution have had negative impacts on the survival and reproduction for many mussel species, and the imperilment of a number or endemic populations in the region [11-12]. Understanding phylogenetic diversity is crucial for conservation prioritization of freshwater mussels, but until recently, taxonomic and phylogenetic work in China has lagged relative to North America and Europe. The first and most important classification of the Chinese unionid fauna was attempted by Heude beginning in 1875 [13-22]. His collected works on Chinese taxa resulted in the classification of 140 species based on shell morphology. Over the past century, there has been substantial disagreement on the validity of species and the taxonomy of this group [8, 23–24]. Since 1949, a number of faunal investigations were conducted that improved the accuracy of species ranges [25-30], but the classifications were still based on shell morphology alone. The inclusion of anatomical characters, such as the morphology of the marsupium and larval type [31-35], did improve the classification of Chinese taxa; however, these advancements were largely restricted to the genus and species-level classification of Chinese Unionidae. Accurate identification of biological diversity is an important component in the conservation of species. One of the greatest barriers to the conservation of endangered species is our lack of knowledge of their existence. Application of molecular genetic tools has resulted in a dramatic increase in the amount of biodiversity recognized to date [36]. Molecular genetic markers have the potential to provide more objective and accurate characters for improving our understanding of the systematics and taxonomy, evolutionary history and genetic diversity of Chinese freshwater mussels [37]. The number of studies examining the phylogenetic relationships of Chinese freshwater mussels based on molecular data has increased recently [38-49]; however, most of the studies included only a limited number genera, species, and specimens. Other studies have attempted to construct a phylogenetic framework for Chinese mussels [50-51], but suffered due to limited taxon sampling; thus, an integrated phylogenetic framework for Chinese taxa is still lacking. DNA barcoding technology has proven to be a reliable tool in species identification and phylogenetic analysis [52]. The first subunit of the cytochrome oxidase c gene (COI) and the first subunit of the NADH dehydrogenase gene (ND1) are widely used in phylogenetic analysis, taxonomic identification and identification of cryptic species [51-58], but information on the usefulness of DNA barcodes for Chinese mussels is largely lacking. There are only COI and/or ND1 sequences from a dozen Chinese mussel taxa in GenBank at this time, which severely hinders our understanding of phylogenetic diversity and monitoring of the fauna in China using environmental DNA (eDNA). The middle and lower reaches of the Yangtze River in China represents one of the most-species rich regions for freshwater mussels on earth [7]. By sampling the tributary lakes and rivers in the middle and lower reaches of the Yangtze River, we were able to collect 34 putative species representing 15 genera of freshwater mussels. Our goals were to: (1) evaluate the efficacy of the mitochondrial COI and ND1 loci for DNA barcoding of Chinese freshwater mussels; and (2) begin to develop a modern phylogenetic framework for the Unionidae in China thereby placing more Chinese species into a global taxonomic classification.

Materials and methods

Ethics statement

All necessary permits were obtained for the described field studies from the Yangtze River Fishery Administration of China. The handling of mussels was conducted in accordance with the guidelines on the care and use of animals for scientific purposes set by the Institutional Animal Care and Use Committee (IACUC) of Nanchang University, Jiangxi, China.

Taxon sampling

Unionids were collected between 2014 and 2017 from a selection of lakes and tributaries in the middle and lower reaches of the Yangtze River, including Dongting Lake (Hunan Province, N: 28.87.65° ~ 29.23°; E: 112.62° ~ 113.00°), Liangzi Lake (Hubei Province, N: 30.22°; E: 114.60°), Poyang Lake (Jiangxi Province, N: 29.03° ~ 29.17°; E: 116.20° ~ 116.26°), Xiannv Lake (Jiangxi Province, N: 27.72°; E: 114.80°), Gan River (Jiangxi Province, N: 28.57° ~ 28.86°; E: 115.57° ~ 116.00°), Tai Lake (Jiangsu Province, N: 31.24°; E: 120.23°) and Hongze Lake (Jiangsu Province, N: 33.22°; E: 118.68°). Field-collected specimens were taken to the laboratory and identified to species based on the shell morphology. At present, there are three authoritative publications on the classification of Chinese freshwater bivalves [8, 29, 59]. However, the taxonomy of the Asian unionid fauna is continuing to evolve as more studies are published [7, 41, 49]. For this study, we based our identification of freshwater mussels on these publications. In addition, we made use of the MusselP website [60], which provided a global taxonomic framework and pictures of type specimens, which greatly facilitated identifications. Gender for each individual was determined by gonad smear [61]. All Chinese species collected and examined are listed in Table 1. A small sample of foot tissue was removed from each specimen and preserved in 96% ethanol for later DNA extraction. Voucher specimens representing the species included in this study were deposited in the Nanchang University Museum of Biology.
Table 1

Freshwater mussel species used in this study.

Haplotypes were estimated for ingroup taxa by species.

TaxonHaplotype No.COINDICollection LocationReference
ANODONTINAE
Acuticosta chinensis (Lea, 1868)1MG933696MG933755Poyang Lake, Gan River, ChinaThis study
A.chinensis2KJ434469DQ077897Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]; Unpublished
A.chinensis3KJ434471KJ434535Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
A.chinensis4KJ434472KJ434536Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
A.chinensis5KJ434475KJ434537Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
A.chinensis6n/aKJ434540Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
A.chinensis7n/aKJ434541Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
Acuticosta ovata (Simpson, 1900)1n/aKJ434542Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
A.ovata2n/aKJ434543Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
Alasmidonta marginata Say, 18181AF156502GU085335USAGraf & Foighil, 2000 [90]; Boyer et al., 2011 [53]
Anemina angula Tchang et al., 19651MG933697MG933756Xiannv Lake, ChinaThis study
A.angula2MG933698n/aXianlv Lake, ChinaThis study
Anemina arcaeformis (Heude, 1877)1MG933699MG933757Dongting Lake, ChinaThis study
A.arcaeformis2MG933700MG933758Dongting Lake, ChinaThis study
A.arcaeformis3MG933701MG933759Dongting Lake, ChinaThis study
A.arcaeformis4MG933702n/aDongting Lake, ChinaThis study
A.arcaeformis5MG933703n/aDongting Lake, ChinaThis study
Anemina globosula (Heude, 1878)1MG933704MG933760Dongting Lake, ChinaThis study
A.globosula2MG933705n/aDongting Lake, ChinaThis study
A.globosula3MG933706n/aDongting Lake, ChinaThis study
Arconaia lanceolata (Lea, 1856)1MG933707MG933761Tai Lake, ChinaThis study
A.lanceolata2n/aMG933762Tai Lake, ChinaThis study
A.lanceolata3n/aMG933763Tai Lake, ChinaThis study
Anodonta anatina (Linnaeus, 1758)1NC_022803NC_022803USASoroka, 2015 [91]
Anodonta cygnea (Linnaeus, 1758)1NC_036488NC_036488USASoroka & Burzyński, 2017 [92]
Cristaria plicata (Leach, 1814)1MG933708MG933764Liangzi Lake, ChinaThis study
C.plicata2EU698939MG933765Liangzi Lake, ChinaUnpublished; This study
C.plicata3EU698941n/aPoyang Lake, ChinaUnpublished
C.plicata4EU698944n/aTai Lake, ChinaUnpublished
C.plicata5EU698945n/aQiantang River, ChinaUnpublished
C.plicata6EU698946n/aQiantang River, ChinaUnpublished
C.plicata7EU698947n/aQiantang River, ChinaUnpublished
C.plicata8EU698948n/aQiantang River, ChinaUnpublished
C.plicata9EU698949n/aQiantang River, ChinaUnpublished
C.plicata10GQ451860n/aUnknownUnpublished
Lanceolaria gladiola (Heude, 1877)1MG933720MG933780Poyang Lake, ChinaThis study
Lanceolaria grayii (Lea, 1834)1MG933721NC_026686Poyang Lake, ChinaThis study; Wang et al., 2016 [93]
L. grayii2KJ434525n/aPoyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
Lanceolaria triformis (Heude, 1877)1MG933722MG933781Gan River, ChinaThis study
L.triformis2MG933723MG933782Gan River, ChinaThis study
L.triformis3MG933724MG933783Gan River, ChinaThis study
Lanceolaria eucylindrica Lin, 19621n/aMG933777Gan River, ChinaThis study
L.eucylindrica2n/aMG933778Gan River, ChinaThis study
L.eucylindrica3n/aMG933779Gan River, ChinaThis study
Lasmigona compressa (Lea, 1829)1HM856638HM856638USABreton et al., 2011 [94]
Pyganodon grandis (Say, 1829)1KM262551MG199751UASKrebs et al., 2015 [95]; Smith et al., 2017 [96]
Pyganodon cataracta (Say, 1817)1JX101491EF446102USAHoeh et al., 2012 [97]; Kneeland & Rhymer, 2007 [98]
Sinanodonta lucida (Heude, 1877)1MG933735MG933792Poyang Lake, ChinaThis study
S.lucida2n/aMG933793Poyang Lake, ChinaThis study
Sinanodonta woodiana (Lea, 1834)1MG933736MG933794Gan River, ChinaThis study
S.woodiana2MG933737MG933795Gan River, ChinaThis study
S.woodiana3MG933738MG933796Gan River, ChinaThis study
S.woodiana4MG933739n/aGan River, ChinaThis study
Sinanodonta elliptica (Heude, 1878)1MG933740MG933797Gan River, ChinaThis study
S. elliptica2MG933741MG933798Gan River, ChinaThis study
S. elliptica3MG933742MG933799Gan River, ChinaThis study
S. elliptica4n/aMG933800Gan River, ChinaThis study
Strophitus undulatus (Say, 1817)AF231740EF446100USABogan & Hoeh, 2000 [99]; Kneeland & Rhymer, 2015 [54]
UNIONINAE
Aculamprotula coreana (Martens, 1886)1NC_026035NC_026035KoreaUnpublished
Aculamprotula fibrosa (Heude, 1877)1MG933687MG933746Poyang Lake, ChinaThis study
Aculamprotula scripta (Heude, 1875)1MG933688MG933747Dongting Lake, ChinaThis study
A.scripta2MG933689MG933748Dongting Lake, ChinaThis study
A.scripta3n/aMG933749Dongting Lake, ChinaThis study
Aculamprotula tientsinensis (Crosse & Debeaux, 1863)1MG933690MG933750Poyang Lake, ChinaThis study
A.tientsinensis2n/aMG933751Poyang Lake, ChinaThis study
Aculamprotula tortuosa (Lea, 1865)1MG933691MG933752Poyang Lake, ChinaThis study
A.tortuosa2MG933692MG933753Poyang Lake, ChinaThis study
A.tortuosa3MG933693MG933754Gan River, ChinaThis study
A.tortuosa4MG933694n/aGan River, ChinaThis study
A.tortuosa5MG933695n/aGan River, ChinaThis study
A.tortuosa6NC_021404n/aGan River, ChinaWang et al., 2014 [42]
Cuneopsis celtiformis (Heude, 1874)1MG933709MG933766Poyang Lake, ChinaThis study
C.celtiformis2KJ434491KJ434557Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
C.celtiformis3KJ434492n/aPoyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
Cuneopsis heudei (Heude, 1874)1MG933710MG933767Gan River, ChinaThis study
C.heudei2KJ434494KJ434560Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
Cuneopsis pisciculus (Heude, 1874)1MG933711MG933768Gan River, ChinaThis study
C.pisciculus2KJ434496KJ434561Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
C.pisciculus3KJ434497KJ434562Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
C.pisciculus4KJ434498KJ434563Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
C.pisciculus5n/aKJ434564Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
Cuneopsis rufescens (Heude, 1874)1MG933712KJ434566Poyang Lake, Gan River, ChinaThis study; Ouyang et al., 2015 [51]
C.rufescens2KX822640n/aPoyang Lake, ChinaLopes-Lima et al., 2017 [49]
Lepidodesma languilati (Heude, 1874)1MG933725MG933784Poyang Lake, ChinaThis study
L.languilati2MG933726MG933785Poyang Lake, ChinaThis study
L.languilati3MG933727n/aPoyang Lake, ChinaThis study
Nodularia douglasiae (Griffith & Pidgeon, 1833)1MG933728MG933786Hongze Lake, ChinaThis study
N.douglasiae2KJ434521n/aPoyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
N.douglasiae3KJ434522n/aPoyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
N.douglasiae4GQ451862n/aUnknownUnpublished
N.douglasiae5GQ451863n/aUnknownUnpublished
Schistodesmus lampreyanus (Baird & Adams, 1867)1MG933731MG933789Poyang Lake, ChinaThis study
S.lampreyanus2MG933732MG933790Poyang Lake, ChinaThis study
S.lampreyanus3KJ434509n/aPoyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
S.lampreyanus4MG933733n/aPoyang Lake, ChinaThis study
Schistodesmus spinosus (Simpson, 1900)MG933734MG933791Dongting Lake, ChinaThis study
Unio crassus Retzius, 17881KJ525919KJ525928FranceUnpublished
Unio pictorum (Linnaeus, 1758)1EU548057NC_015310PolandSoroka, 2010 [100]; Soroka & Burzynski, 2010 [101]
GONIDEINAE
Gonidea angulata (Lea, 1838)1DQ272373AY655099USAGustafson & Iwamoto, 2005 [102]; Campbell et al., 2005 [103]
Lamprotula caveata (Heude, 1877)1MG933713MG933769Gan River, ChinaThis study
L.caveata2MG933714MG933770Gan River, ChinaThis study
L.caveata3MG933715MG933771Gan River, ChinaThis study
L.caveata4MG933716n/aGan River, ChinaThis study
Lamprotula leaii (Griffith & Pidgeon, 1833)1MG933717MG933772Gan River, ChinaThis study
L.leaii2MG933718MG933773Gan River, ChinaThis study
L.leaii3MG933719MG933774Poyang Lake, ChinaThis study
L.leaii4n/aMG933775Poyang Lake, ChinaThis study
L.leaii5n/aMG933776Poyang Lake, ChinaThis study
Potomida littoralis (Cuvier, 1798)1NC_030073NC_030073FranceFroufe et al., 2016 [104]
Ptychorhynchus pfisteri (Heude, 1874)1MG933729MG933787Dongting Lake, ChinaThis study
P.pfisteri2MG933730MG933788Dongting Lake, ChinaThis study
Sinohyriopsis cumingii (Lea, 1852)1MG933743MG933801Tai Lake, ChinaThis study
S.cumingii2KJ434500MG933802Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]; This study
S.cumingii3KJ434501MG933803Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]; This study
S.cumingii4KJ434502n/aPoyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
Solenaia carinata (Heude, 1877)1MG933744MG933804Gang River, ChinaThis study
Solenaia oleivora (Heude, 1877)1KJ434511KJ434581Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
S.oleivora2KJ434513KJ434583Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
S.oleivora3KJ434514KJ434586Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
S.oleivora4KJ434516n/aPoyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
Solenaia rivularis (Heude, 1877)1MG933745MG933805Gan River, ChinaThis study
S.rivularis2KJ434528KJ434588Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
S.rivularis3KJ434529KJ434589Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
S.rivularis4KJ434530KJ434590Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
S.rivularis5KJ434532KJ434592Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
Solenaia triangularis(Heude, 1885)1GQ451872KJ434593Gan River, ChinaUnpublished; Ouyang et al., 2015 [51]
S.triangularis2n/aKJ434594Poyang Lake, Gan River, ChinaOuyang et al., 2015 [51]
AMBLEMINAE
Amblema plicata (Say, 1817)1DQ648118AY158796USAElderkin et al., 2007 [105]; Serb et al., 2003 [61]
Elliptio complanata (Lightfoot, 1786)1KU906090EF446099USAUnpublished; Kneeland & Rhymer, 2007 [98]
Elliptio dilatata (Rafinesque, 1820)1AF156507DQ385872USAGraf & Foighil, 2000 [90]; Campbell et al., 2008 [80]
Fusconaia askewi (Marsh, 1896)1KT285626JN180976USAIii et al., 2016 [106]; Burlakova et al., 2012 [107]
Fusconaia burkei (Ortmann & Walker, 1922)1KT285627AY158793USAIii et al., 2016 [106]; Serb et al., 2003 [64]
Fusconaia cerina (Conrad, 1838)1AY613823AY613792USACampbell et al., 2005 [103]
Pleurobema sintoxia (Rafinesque, 1820)1EF033253AY613815USAChapman et al., 2008 [108]; Campbell et al., 2005 [103]
Quadrula quadrula (Rafinesque, 1820)1NC_013658NC_013658USABreton et al., 2011 [94]
Villosa arkansasensis (Lea, 1862)1KF035228KF035359USAInoue et al., 2013 [109]
OUTGROUP
Margaritifera dahurica (Middendorff, 1850)NC_023942NC_023942RussiaYang et al., 2015 [110]
Margaritifera falcata (Gould, 1850)NC_015476NC_015476USABreton et al., 2009 [111]

Freshwater mussel species used in this study.

Haplotypes were estimated for ingroup taxa by species.

DNA extraction, amplification and sequencing

Whole genomic DNA was extracted from preserved foot tissue using the TIANGEN TIANamp Marine Animals DNA Kit (Tiangen Biotech, Beijing, China) according to the manufacturer’s instructions. Polymerase chain reaction (PCR) primers for the two gene regions were COI (LCO1490/HCO2198) [62], and ND1 (Leu-uurF/LoGlyR) [63]. Thermal cycling conditions for both sets of primers were 98°C for 10 s, followed by 35 cycles of 94°C for 1 min, 50°C for 1 min, 72°C for 1–2 min, and a final extension of 72°C for 7 min, following the TaKaRa Ex manufacturer’s protocol. Amplified PCR products were purified and sequenced by Sangon Biotech (Shanghai). PCR product sizes for the COI and ND1 amplicons were 680 bp and 900 bp, respectively. The sequences obtained in this study have been uploaded to GenBank (Accession Numbers: MG933687-MG933805).

DNA barcoding dataset construction

The COI and ND1 sequences of all available Chinese freshwater mussel species were downloaded from NCBI GenBank and combined with the new sequences from this study. We used DNA Collapser (http://users-birc.au.dk/biopv/php/fabox/dnacollapser.php#) to identify unique haplotypes of COI and ND1 sequences for each species, and excluded any identical sequences (Table 1). As some of the specimens used in this study were obtained from GenBank, COI or ND1 sequences are missing for some specimens. In addition, the dataset analyzed also includes DNA sequences obtained from GenBank for representatives of major clades of the Unionidae, as determined in recent studies [49, 64]. Margaritifera falcata and M. dahurica from the putative unionid sister family Margaritiferidae were selected as out-groups. All 57 species used in the phylogenetic analyses, including 34 Chinese species in this study, are listed in Table 1.

Phylogenetic analyses

The COI and ND1 nucleotide sequences were translated to amino acid sequences using MEGA 5.0 [65], and aligned based on the amino acid sequences using the program MUSCLE [66] with default setting. We calculated inter- and intraspecific distances for each data set with MEGA 5.0 using the Kimura-2-parameter model [67]. Standard error was assessed using 1000 bootstrap replicates. Meanwhile, we constructed Maximum Likelihood (ML) tree based on codon position using the GTR+I+G model in MEGA5.0 for the COI and ND1 datasets separately. The results of ML analysis were shown in S1 and S2 Figs. Using SequenceMatrix [68], the two (COI and ND1) data sets were concatenated (1011 bp) for construction of phylogenetic trees. Prior to phylogenetic analysis of the combined dataset, a partition homogeneity test was carried out in PAUP* version 4.0b10 [69] to determine if significantly different signals were being generated by the COI and ND1 fragments. The partition homogeneity test indicated there was no significant difference in signals (P > 0.05), and the concatenated two-loci dataset was suitable for phylogenetic construction. For the combined dataset, a single scheme with 6 partitions was applied based on genes and codon positions. The best-fit models of nucleotide substitution under the corrected Akaike Information Criterion were selected using PartitionFinder v1.1.1 [70] for each partition, of the subsequent analyses. A Bayesian topology was inferred for each dataset using MrBayes Version 2.01 [71]. The GTR+I+G model was used for the first and second COI and ND1 codon positions, while the GTR+I model was applied to third codon positions for both genes. Four chains were run simultaneously for 1 million generations and trees were sampled every 1000 generations, with a burn-in of 25%. Stationarity was considered to be reached when the average standard deviation of split frequencies was less than 0.01. The gene and codon site-based partitioned ML analyses were performed in RAxML implemented in raxmlGUI v.1.3 [72], using the GTRGAMMAI model of nucleotide substitution with the search strategy set to rapid bootstrapping.

Results

Efficacy of both loci for DNA barcoding

Initial analysis resulted in 98 COI sequences representing 32 species and 85 ND1 sequences representing 34 species in this study (Table 2). The aligned COI and ND1 sequences had a total length of 522bp and 489bp, respectively. The final alignment of ND1 sequences was trimmed to the length of the shortest sequence in the final data set. For the COI locus, average intraspecific distances calculated by the Kimura-2-parameter model ranged from 0.002–0.027 (mean = 0.007; Table 2 and Fig 1A). Interspecific genetic distances ranged from 0.05 to 0.21, except for Anemina arcaeformis and A. globosula with the lower interspecific genetic distance of 0.005 (see S1 Table and Fig 1A). The average interspecific distances were 10 times larger than the average intraspecific distances (Fig 1A). As a result, COI had excellent potential for species-level identification of unionids. For the ND1 locus, average intraspecific distances ranged from 0.002 to 0.024 (mean = 0.007; Table 2 and Fig 1B). The average interspecific distance of ND1 was greater than 10 times average intraspecific distance (Fig 1B). ND1 also showed excellent potential for species-level identification, as the DNA sequences exhibited larger difference between average intra- and interspecific distances than the COI gene.
Table 2

Mean intraspecific distances (d) and standard error (SE) assessed using 1000 bootstrap replicates based on the Kimura-2-parameter model calculated with pairwise deletion.

SpeciesCOIND1
ndd(SE)ndd(SE)
Aculamprotula fibrosa1NANA1NANA
Aculamprotula scripta20.0080.00430.0080.003
Aculamprotula tientsinensis1NANA20.0020.01
Aculamprotula tortuosa60.0110.00330.010.003
Acuticosta chinensis50.0060.00270.0110.003
Acuticosta ovata0NANA20.0060.003
Anemina angula20.0040.0031NANA
Anemina arcaeformis50.0060.00230.0040.002
Anemina globosula30.0030.0021NANA
Arconaia lanceolata1NANA30.0110.004
Cristaria plicata100.0080.00220.0020.002
Cuneopsis celtiformis30.0040.00220.0020.002
Cuneopsis heudei20.0060.00320.0060.003
Cuneopsis pisciculus40.0080.00350.0110.003
Cuneopsis rufescens20.0040.0031NANA
Lamprotula caveata40.0040.00230.0030.002
Lamprotula leaii30.0090.00350.0060.002
Lanceolaria grayii20.0060.0031NANA
Lanceolaria eucylindrica0NANA30.0060.003
Lanceolaria gladiola1NANA1NANA
Lanceolaria triformis30.0050.00330.0060.003
Lepidodesma languilati30.0270.00620.0020.002
Nodularia douglasiae50.0160.0041NANA
Ptychorhynchus pfisteri20.0020.00220.0240.007
Schistodesmus lampreyanus40.0030.00220.0020.002
Schistodesmus spinosus1NANA1NANA
Sinanodonta lucida1NANA20.0020.002
Sinanodonta woodiana40.0040.00230.0060.002
Sinanodonta elliptica30.0030.00240.0060.002
Sinohyriopsis cumingii40.0080.00330.0060.003
Solenaia carinata1NANA1NANA
Solenaia oleivora40.0130.00330.0030.002
Solenaia rivularis50.0120.00350.0080.003
Solenaia triangularis1NANA20.0150.006
Mean0.0070.007

n = number of individuals, COI = cytochrome oxidase c, ND1 = NADH dehydrogenase.

Fig 1

Frequency distribution of Kimura-2-parameter distances for the cytochrome oxidase c subunit I (COI) locus (A) and the nicotinamide adenine dinucleotide dehydrogenase subunit 1 (ND1) locus (B).

n = number of individuals, COI = cytochrome oxidase c, ND1 = NADH dehydrogenase. The phylogenetic trees produced by Bayesian Inference (BI) and Maximum Likelihood (ML) converged on a completely consistent topology; therefore, only the BI tree was shown here (Fig 2). Phylogenetic analyses supported the monophyly of the Unioninae, Anodontinae and Gonideninae, and the sister relationship of the Unioninae and the Anodontinae; however, the Ambleminae was recovered as a polytomy. Several Chinese genera included were supported as monophyletic groups: Aculamprotula, Cuneopsis, Schistodesmus and Lamprotula, whereas others (Solenaia, Lanceolaria and Anemina) were not. Based on our results, Chinese genera included in the Unioninae are: Aculamprotula, Cuneopsis, Nodularia and Schistodesmus. The Anodontinae includes the following six Chinese genera: Cristaria, Arconaia, Acuticosta, Lanceolaria, Anemina and Sinoanodonta. The Gonideninae include Lamprotula, Solenaia and Ptychorhychus (Fig 2). Sinohyriopsis cumingii was recovered as the sister taxon to the monophyletic group (Anodontinae + Unioninae) with low posterior probability, whereas Lepidodesma languilati was recovered as paraphyletic to the Unioninae and the Anodontinae with high posterior probability.
Fig 2

Molecular phylogeny tree of Unionidae by Bayesian Inference (BI) analyses of the DNA-barcoding (COI+ND1) dataset.

The hatched section shows the Chinese mussel species in this study.

Molecular phylogeny tree of Unionidae by Bayesian Inference (BI) analyses of the DNA-barcoding (COI+ND1) dataset.

The hatched section shows the Chinese mussel species in this study.

Discussion

Traditionally, the taxonomic classification and identification of freshwater mussels has been mainly based on the comparative morphology of shells, especially in field surveys of freshwater mussel diversity. However, under different habitat conditions and environmental pressures the morphological characteristics of the shell, such as shell size, shape, and sculpture (e.g. ridges, bumps, and knobs) can vary significantly among populations within a species [73-74]. Using only morphological characters for unionid species identification has led to a risk of misidentification, synonymy, and a failure to describe some cryptic species [75-76]. With species as the key unit for measuring biodiversity, a failure to recognize species not only undermines biodiversity research, protection efforts and sustainable harvests and uses, but also affects biodiversity assessment efforts and the ability of resource managers to compare faunas among regions [77]. This study evaluated the utility of two mitochondrial genes widely used as DNA barcoding for 34 species of freshwater mussels in China, which not only lays a foundation for understanding the phylogenetic diversity of unionids, but also provides an important reference for assessing and comparing regional biodiversity. Furthermore, this dataset will facilitate field survey studies using eDNA and metabarcoding analyses [52] for assemblages of Chinese Unionidae in the future. Hebert et al. [78] proposed that a 10× difference between intra- and inter-specific distances is a desirable characteristic for a barcoding locus. Both of the two loci used in this study satisfy this criterion and have excellent potential for species-level identification of Chinese unionids. The larger distance between the ranges of intra- and inter-specific distances exhibited by the ND1 gene indicates that it is more sensitive and more accurate than COI, the proposed standard barcoding locus [79], and therefore has advantages over COI for species-level identification of unionids. This is a similar result to what was found in a study on North American unionids [80]. We also found that ND1 sequence data were generally easier to obtain than COI sequence data, and that the ND1 primers had a higher rate of successful amplification, and sequence data generally were of higher quality. After 1949, Chinese malacologists conducted a number of faunal investigations, revised classifications, and in some cases described new species [25-30]. Based on shell sculpture and hinge tooth morphology, Liu et al. [29] divided Chinese unionids into two subfamilies, the Unioninae and the Anodontinae. However, shell characteristics are not as stable as the anatomical characters (e.g. arrangement of the marsupial demibranchs in which larvae are brooded and larval morphology) and are not recommended for diagnosing higher-level taxa among freshwater mussels [81-84]. Wu et al. [32] found that larval morphology differed between members of the Unioninae and Anodontinae. For most Unioninae species, the overall shape of the glochidia was described as widely triangular. The surface of the valves of glochidia from members of the Unioninae was imperforate and included some small depressions or fovea. Whereas, for all species of Anodontinae, the overall shape of the glochidia was elongately triangular, and the surface of the larval valves included numerous perforations. On the basis of these characteristics, the genera Arconaia, Lanceolaria and Acuticosta were placed into the Unioninae [29, 32], which has been supported by later molecular studies [48, 50–51]. Recently, however, Lopes-Lima et al. [49] placed the genera Arconaia and Lanceolaria into the Anodontinae based on phylogenetic analysis of COI and 28S rRNA sequences. Our study supports not only changing the subfamilial affinities of Arconaia and Lanceolaria to the Anodontinae, but also indicates with high confidence that the genus Acuticosta also belongs in the Anodontinae. Renewed examination of the anatomy of these genera is warranted to determine if characteristics that support the molecular classification presented here and in other publications can be identified. The taxonomy of Chinese anodontines had been controversial for a long time. Chinese freshwater malacologists consistently used the generic name Anodonta in the taxonomy, ecology and molecular biology, and considered all Chinese anodontines as monophyletic. But, other research [9, 85] indicated that the genus Anodonta sensu stricto was restricted to Western North America and Western Europe ranging as far east as Lake Baikal, and that Chinese anodontines were instead members of the genera Anemina and Sinoanodonta. Our study provides additional molecular evidence indicating that Chinese Anodonta sensu lato are polyphyletic, and supports dividing Chinese Anodonta into the genera Anemina and Sinoanodonta. (See and Figs 2, S1 and S2). Anemina angula is a Chinese endemic species, and it was placed in Anemina by Prozorova et al. [86] and Graf and Cummings [3] on the basis of morphological characters. Our results instead indicate it has closer affinities to Sinoanodonta. The combined COI and ND1 dataset indicates that the Ambleminae is the sister group to the rest of the Unionidae. The phylogeny of Lopes-Lima et al. [49] indicated that the 4 subfamilies were divided into 2 branches: (Anodontinae + Unioninae) and (Ambleminae + Gonideninae). Bolotov et al. [64] thought the placement of the Pseudodontinae as a tribe within Gonideinae was incorrect and proposed that they actually represent a separate subfamily. But in general, his phylogenetic analyses supported the Unionidae phylogenetic framework established by Lopes-Lima et al. [49]. The subfamily-level phylogenetic relationships in our study differ from the above-mentioned results. In addition, our analyses were unable to place the genera Sinohyriopsis and Lepidodesma in the phylogeny with confidence. Some researchers have placed these genera into the Gonideninae and the Unioninae, respectively, based on the analysis of complete mitochondrial genomes [45, 47]. For the purpose of recognizing and delimiting species in this study we are employing the monophyly version of the phylogenetic species concept [87-89]. In our DNA barcoding dataset for 34 freshwater mussel species, the interspecific genetic distance between Anemina arcaeformis and A. globosula (COI: d = 0.006; ND1: d = 0.006) were much smaller than those of other species (See S1 and S2 Tables). At the same time, they clustered with each other in an evolutionary lineage and formed a monophyletic group (S1 and S2 Tables and Fig 2). According to the phylogenetic species concept, our results do not support recognizing A. arcaeformis and A. globosula as distinct species. Data from nuclear gene sequences and morphological data are needed to corroborate the findings based on this mtDNA dataset. DNA barcoding and modern molecular phylogenetic analyses of the Unionidae have had significant impacts on our understanding of the biogeography of this important family of freshwater bivalves. The pattern being revealed is one that includes both highly endemic subfamilies (e.g. Ambleminae in North and Central America) and some subfamilies that are found on several continents (e.g. Anodontinae and Gonideinae) [3–4, 49]. China, and in particular the Yangtze Basin is recognized a region of high unionid diversity which includes a number of endemic taxa [7]. The majority of unionid taxa in China and the surrounding region have never been included in a molecular phylogenetic analysis [49]. In view of the generally imperiled conservation status for freshwater mussels in China [7, 11–12], it is of crucial importance to develop a phylogenetic framework for Chinese taxa to assist with species delineation and determining priorities for species conservation. This study provides an improved foundation for the systematics and taxonomy of Unionidae in China and serves as a reference for future studies of Chinese freshwater mussel diversity.

Interspecific distances of 32 putative species using COI loci.

The lower left is the interspecific genetic distance; the upper right is the standard error. (DOCX) Click here for additional data file.

Interspecific distances of 34 putative species using ND1 loci.

The lower left is the interspecific genetic distance; the upper right is the standard error. (DOCX) Click here for additional data file.

ML tree of Chinese freshwater mussels inferred from the first subunit of the cytochrome oxidase c (COI) gene.

(TIF) Click here for additional data file.

ML tree of Chinese freshwater mussels inferred from the first subunit of the NADH dehydrogenase (ND1) gene.

(TIF) Click here for additional data file.
  35 in total

1.  Biological identifications through DNA barcodes.

Authors:  Paul D N Hebert; Alina Cywinska; Shelley L Ball; Jeremy R deWaard
Journal:  Proc Biol Sci       Date:  2003-02-07       Impact factor: 5.349

2.  The complete F-type mitochondrial genome of threatened Chinese freshwater mussel Solenaia oleivora (Bivalvia: Unionidae: Gonideinae).

Authors:  Xiao-Chen Huang; Chun-Hua Zhou; Shan Ouyang; Xiao-Ping Wu
Journal:  Mitochondrial DNA       Date:  2013-09-11

3.  The promise of DNA barcoding for taxonomy.

Authors:  Paul D N Hebert; T Ryan Gregory
Journal:  Syst Biol       Date:  2005-10       Impact factor: 15.683

4.  Species concepts and species delimitation.

Authors:  Kevin De Queiroz
Journal:  Syst Biol       Date:  2007-12       Impact factor: 15.683

5.  Molecular and morphological data reveal non-monophyly and speciation in imperiled freshwater mussels (Anodontoides and Strophitus).

Authors:  Chase H Smith; Nathan A Johnson; John M Pfeiffer; Michael M Gangloff
Journal:  Mol Phylogenet Evol       Date:  2017-10-23       Impact factor: 4.286

6.  DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates.

Authors:  O Folmer; M Black; W Hoeh; R Lutz; R Vrijenhoek
Journal:  Mol Mar Biol Biotechnol       Date:  1994-10

7.  Molecular systematics of the North American freshwater bivalve genus Quadrula (Unionidae: Ambleminae) based on mitochondrial ND1 sequences.

Authors:  Jeanne M Serb; Jennifer E Buhay; Charles Lydeard
Journal:  Mol Phylogenet Evol       Date:  2003-07       Impact factor: 4.286

8.  MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space.

Authors:  Fredrik Ronquist; Maxim Teslenko; Paul van der Mark; Daniel L Ayres; Aaron Darling; Sebastian Höhna; Bret Larget; Liang Liu; Marc A Suchard; John P Huelsenbeck
Journal:  Syst Biol       Date:  2012-02-22       Impact factor: 15.683

9.  Phylogenetic and morphometric analyses reveal ecophenotypic plasticity in freshwater mussels Obovaria jacksoniana and Villosa arkansasensis (Bivalvia: Unionidae).

Authors:  Kentaro Inoue; David M Hayes; John L Harris; Alan D Christian
Journal:  Ecol Evol       Date:  2013-07-03       Impact factor: 2.912

10.  Morphological and molecular analyses of Anodontinae species (Bivalvia, Unionidae) of Lake Baikal and Transbaikalia.

Authors:  Olga K Klishko; Manuel Lopes-Lima; Arthur E Bogan; Dmitry V Matafonov; Elsa Froufe
Journal:  PLoS One       Date:  2018-04-09       Impact factor: 3.240

View more
  4 in total

1.  Complete mitochondrial genome of freshwater pearl mussel Lamellidens marginalis (Lamarck, 1819) and its phylogenetic relation within unionidae family.

Authors:  Annam Pavan-Kumar; Shubham Varshney; Sonal Suman; Rekha Das; A Chaudhari; G Krishna
Journal:  Mol Biol Rep       Date:  2022-08-21       Impact factor: 2.742

2.  DNA barcoding, multilocus phylogeny, and morphometry reveal phenotypic plasticity in the Chinese freshwater mussel Lamprotula caveata (Bivalvia: Unionidae).

Authors:  Ruiwen Wu; Xiongjun Liu; Liang Guo; Chunhua Zhou; Shan Ouyang; Xiaoping Wu
Journal:  Ecol Evol       Date:  2022-07-13       Impact factor: 3.167

3.  Molecular identification and phylogenetic analysis of the mitogenome of Solenaia oleivora MG.

Authors:  Pengyu Chen; Danni Li; Xuxu Chen; Genfang Zhang; Shoubao Yang
Journal:  Mitochondrial DNA B Resour       Date:  2020-07-14       Impact factor: 0.658

4.  Integrative taxonomy, biogeography and conservation of freshwater mussels (Unionidae) in Russia.

Authors:  Ivan N Bolotov; Alexander V Kondakov; Ekaterina S Konopleva; Ilya V Vikhrev; Olga V Aksenova; Andrey S Aksenov; Yulia V Bespalaya; Alexey V Borovskoy; Petr P Danilov; Gennady A Dvoryankin; Mikhail Y Gofarov; Mikhail B Kabakov; Olga K Klishko; Yulia S Kolosova; Artem A Lyubas; Alexander P Novoselov; Dmitry M Palatov; Grigory N Savvinov; Nikolay M Solomonov; Vitaly M Spitsyn; Svetlana E Sokolova; Alena A Tomilova; Elsa Froufe; Arthur E Bogan; Manuel Lopes-Lima; Alexander A Makhrov; Maxim V Vinarski
Journal:  Sci Rep       Date:  2020-02-20       Impact factor: 4.379

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.