scholarly journals Integration of DNA-Based Approaches in Aquatic Ecological Assessment Using Benthic Macroinvertebrates

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 331
Author(s):  
Sofia Duarte ◽  
Barbara R. Leite ◽  
Maria João Feio ◽  
Filipe O. Costa ◽  
Ana Filipa Filipe

Benthic macroinvertebrates are among the most used biological quality elements for assessing the condition of all types of aquatic ecosystems worldwide (i.e., fresh water, transitional, and marine). Current morphology-based assessments have several limitations that may be circumvented by using DNA-based approaches. Here, we present a comprehensive review of 90 publications on the use of DNA metabarcoding of benthic macroinvertebrates in aquatic ecosystems bioassessments. Metabarcoding of bulk macrozoobenthos has been preferentially used in fresh waters, whereas in marine waters, environmental DNA (eDNA) from sediment and bulk communities from deployed artificial structures has been favored. DNA extraction has been done predominantly through commercial kits, and cytochrome c oxidase subunit I (COI) has been, by far, the most used marker, occasionally combined with others, namely, the 18S rRNA gene. Current limitations include the lack of standardized protocols and broad-coverage primers, the incompleteness of reference libraries, and the inability to reliably extrapolate abundance data. In addition, morphology versus DNA benchmarking of ecological status and biotic indexes are required to allow general worldwide implementation and higher end-user confidence. The increased sensitivity, high throughput, and faster execution of DNA metabarcoding can provide much higher spatial and temporal data resolution on aquatic ecological status, thereby being more responsive to immediate management needs.

Diversity ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 112
Author(s):  
Eftychia Tzafesta ◽  
Francesco Zangaro ◽  
Valeria Specchia ◽  
Maurizio Pinna

The loss of aquatic biodiversity is increasing at a rapid rate globally. There is a worldwide effort to protect, preserve and restore aquatic ecosystems. For efficient biodiversity monitoring and reliable management tools, comprehensive biodiversity data are required. The abundance and species diversity of benthic macroinvertebrates are commonly used as indicators of the aquatic ecosystem condition. Currently, macroinvertebrate species biodiversity assessment is based on morpho-taxonomy, which could be enhanced by recent advances in DNA-based tools for species identification. In particular, DNA metabarcoding has the potential to identify simultaneously many different taxa in a pool of species and to improve aquatic biomonitoring significantly, especially for indicator species. This review is focused on the current state of DNA-based aquatic biomonitoring using benthic macroinvertebrates in the Mediterranean region.


2021 ◽  
Vol 4 ◽  
Author(s):  
Valentin Vasselon ◽  
Éva Ács ◽  
Salomé Almeida ◽  
Karl Andree ◽  
Laure Apothéloz-Perret-Gentil ◽  
...  

During the past decade genetic approaches have been developed to monitor biodiversity in aquatic ecosystems. These enable access to taxonomic and genetic information from biological communities using DNA from environmental samples (e.g. water, biofilm, soil) and methods based on high-throughput sequencing technologies, such as DNA metabarcoding. Within the context of the Water Framework Directive (WFD), such approaches could be applied to assess Biological Quality Elements (BQE). These are used as indicators of the ecological status of aquatic ecosystems as part of national monitoring programs of the european network of 110,000 surface water monitoring sites with 79.5% rivers and 11% lake sites (Charles et al. 2020). A high-throughput method has the potential to increase our spatio-temporal monitoring capacity and to accelerate the transfer of information to water managers with the aim to increase protection of aquatic ecosystems. Good progress has been made with developing DNA metabarcoding approaches for benthic diatom assemblages. Technological innovation and protocol optimization have allowed robust taxonomic (species) and genetic (OTU, ESV) information to be obtained from which diatom quality indices can be calculated to infer ecological status to rivers and lakes. Diatom DNA metabarcoding has been successfully applied for biomonitoring at the scale of national river monitoring networks in several countries around the world and can now be considered technically ready for routine application (e.g. Apothéloz-Perret-Gentil et al. 2017, Bailet et al. 2019, Mortágua et al. 2019, Vasselon et al. 2019, Kelly et al. 2020, Pérez-Burillo et al. 2020, Pissaridou et al. 2021). However, protocols and methods used by each laboratory still vary between and within countries, limiting their operational transferability and the ability to compare results. Thus, routine use of DNA metabarcoding for diatom biomonitoring requires standardization of all steps of the metabarcoding procedure, from the sampling to the final ecological status assessment in order to define good practices and standards. Following previous initiatives which resulted in a CEN technical report for biofilm sampling and preservation (CEN 2018), a set of experiments was initiated during the DNAqua-Net WG2 diatom workshop (Cyprus, 2019) to focus on DNA extraction and PCR amplification steps in order to evaluate: i) the transferability and reproducibility of a protocol between different laboratories; ii) the variability introduced by different protocols currently applied by the scientific community. 19 participants from 14 countries performed DNA extraction and PCR amplification in parallel, using i) the same fixed protocol and ii) their own protocol. Experiments were performed by each participant on a set of standardized DNA and biofilm samples (river, lake, mock community). In order to specifically test the variability of DNA extraction and PCR amplification steps, all other steps of the metabarcoding process were fixed and the preparation of the Miseq sequencing was performed by only one laboratory. The variability within and between participants will be evaluated on DNA extracts quantity, taxonomic (genus, species) and genetic richness, community structure comparison and diatom quality index scores (IPS). We will also evaluate the variability introduced by different DNA extraction and PCR amplification protocols on diatom quality index scores and the final ecological status assessment. The results from this collaborative work will not serve to define “one protocol to rule them all”, but will provide valuable information to define guidelines and minimum requirements that should be considered when performing diatom metabarcoding for biomonitoring.


2018 ◽  
Author(s):  
Aimee L van der Reis ◽  
Olivier Laroche ◽  
Andrew G Jeffs ◽  
Shane D Lavery

Deep sea lobsters are highly valued for seafood and provide the basis of important commercial fisheries in many parts of the world. Despite their economic significance, relatively little is known about their natural diets. Microscopic analyses of foregut content in some species have suffered from low taxonomic resolution, with many of the dietary items difficult to reliably identify as their tissue is easily digested. DNA metabarcoding has the potential to provide greater taxonomic resolution of the diet of the New Zealand scampi (Metanephrops challengeri) through the identification of gut contents, but a number of methodological concerns need to be overcome first to ensure optimum DNA metabarcoding results. In this study, a range of methodological parameters were tested to determine the optimum protocols for DNA metabarcoding, and provide a first view of M. challengeri diet. Several PCR protocols were tested, using two universal primer pairs targeting the 18S rRNA and COI genes, on DNA extracted from both frozen and ethanol preserved samples for both foregut and hindgut digesta. The selection of appropriate DNA polymerases, buffers and methods for reducing PCR inhibitors (including the use of BSA) were found to be critical. Amplification from frozen or ethanol preserved gut contents appeared similarly dependable, but metabarcoding outcomes indicated that the ethanol samples produced better results from the COI gene. The COI gene was found to be more effective than 18S rRNA gene for identifying large eukaryotic taxa from the digesta, however, it was less successfully amplified. The 18S rRNA gene was more easily amplified, but identified mostly smaller marine organisms such as plankton and parasites. This preliminary analysis of the diet of M. challengeri identified a range of species (13,541 reads identified as diet), which included the ghost shark (Hydrolagus novaezealandiae), silver warehou (Seriolella punctate), tall sea pen (Funiculina quadrangularis) and the salp (Ihlea racovitza), suggesting that they have a varied diet, with a high reliance on scavenging a diverse range of pelagic and benthic species from the seafloor.


Diversity ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 52 ◽  
Author(s):  
Lieven Waeyenberge ◽  
Nancy de Sutter ◽  
Nicole Viaene ◽  
Annelies Haegeman

Nematodes are ideal biological indicators to monitor soil biodiversity and ecosystem functioning. For this reason, they have been receiving increasing attention from a broad range of scientists. The main method to characterize soil nematode communities until at least genus level is still based on microscopic observations of nematode morphology. Such an approach is time-consuming, labor-intensive, and requires specialized personnel. The first studies on the potential use of DNA-metabarcoding to characterize nematode communities showed some shortcomings: under- or overestimation of species richness caused by failure to detect a number of nematode species or caused by intraspecific sequence variants increasing the number of OTUs (operational taxonomic units) or ‘molecular’ species, and flaws in quantification. We set up experiments to optimize this metabarcoding approach. Our results provided new insights such as the drastic effect of different DNA-extraction methods on nematode species richness due to variation in lysis efficacy. Our newly designed primer set (18S rRNA gene, V4-V5 region) showed in silico an improved taxonomic coverage compared with a published primer set (18S rRNA gene, V6-V8 region). However, results of DNA-metabarcoding with the new primer set showed less taxonomic coverage, and more non-nematode reads. Thus, the new primer set might be more suitable for whole soil faunal analysis. Species-specific correction factors calculated from a mock community with equal amounts of different nematode species were applied on another mock community with different amounts of the same nematode species and on a biological sample spiked with four selected nematode species. Results showed an improved molecular quantification. In conclusion, DNA-metabarcoding of soil nematode communities is useful for monitoring shifts in nematode composition but the technique still needs further optimization to enhance its precision.


PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0245936
Author(s):  
Takuhei Shiozaki ◽  
Fumihiro Itoh ◽  
Yuu Hirose ◽  
Jonaotaro Onodera ◽  
Akira Kuwata ◽  
...  

Plankton samples have been routinely collected and preserved in formalin in many laboratories and museums for more than 100 years. Recently, attention has turned to use DNA information from formalin-fixed samples to examine changes in plankton diversity over time. However, no molecular ecological studies have evaluated the impact of formalin fixation on the genetic composition of the plankton community structure. Here, we developed a method for extracting DNA from archived formalin-preserved plankton samples to determine their community structure by a DNA metabarcoding approach. We found that a lysis solution consisting of borate-NaOH buffer (pH 11) with SDS and proteinase K effectively cleaved the cross-link formed by formalin fixation. DNA was extracted from samples preserved for decades in formalin, and the diatom community of the extracted DNA was in good agreement with the microscopy analysis. Furthermore, we stored a plankton sample for 1.5 years and demonstrated that 18S rRNA gene community structures did not change significantly from non-formalin-fixed, time-zero samples. These results indicate that our method can be used to describe the original community structure of plankton archived in formalin for years. Our approach will be useful for examining the long-term variation of plankton diversity by metabarcoding analysis of 18S rRNA gene community structure.


2021 ◽  
Vol 4 ◽  
Author(s):  
Aydın Kaleli ◽  
E. Gozde Ozbayram ◽  
Reyhan Akçaalan

Diatoms are one of the major algal groups having an important role in the aquatic systems in which they constitute the main primary production with dinoflagellates in the coastal regions, and can contribute to photosynthesis at great rates. There had been intense effort to reveal diatom community with light microscopy (LM) and scanning electron microscopy (SEM), on the other hand, DNA barcoding techniques had been an interest to understand the microbiome in the last decades. Barcoding provided rapid response on the targeted organisms and introduced many new species. Recently, monocultural molecular studies showed that species could be described with accurate and reliable results. DNA metabarcoding approaches yielded to determine the whole organisms with available DNA data in the sample and major advances on next-generation sequencing platforms enable to widen the application of metabarcoding approach to various environmental samples. The aim of this study was to perform a comparative assessment of the diatom community structures in Bosphorus of Istanbul, Turkey by LM and 18S rDNA metabarcoding. Diatom samples were collected by brushing from the submerged stones of 10 cm2 of area taken from the coast of Beykoz on the Asian part of the Bosphorus, Istanbul and processed for LM and metabarcoding in June 2020. To concentrate the sample, the scrapes of the biofilm filtered from a 0.22-micron filter, and eDNA was extracted from that filter paper using MN NucleoSpin Soil DNA isolation kit (Macherey-Nagel, Germany) following the manufacturer’s protocol and diatom community profile was analyzed by targeting the V4 region of the 18S rRNA gene using Illumina® MiSeq™. DNA metabarcoding results revealed two classes Bacillariophyceae (91%) and Mediophyceae (9%) (Fig. 1). While small-celled Hyalosira delicatula Kützing was the most abundant taxa with 40% abundance and it was followed by Licmophora spp. (33%). 28% of Licmophora sequences could not be assigned to any species and remained as unidentified, Licmophora gracilis (Ehrenberg) Grunow (4%), and L. flabellata (0.9%) detected at lower abundances. Besides, one of the common genera of diatoms, Navicula spp., showed a relative abundance of 4% and another common genus Nitzschia spp. were represented only by N. commutata Grunow and composed 0.5% of the community. While 18S rDNA metabarcoding revealed 11 genera, LM investigation identified 17 genera belonging to 21 species. 4 genera were common in both techniques and Licmophora flabellata was detected in both LM and metabarcoding methods. Interestingly, small celled taxa which could be easily overlooked in LM was detected with 18S metabarcoding. The results presented a promising number of genera which could be detected by both methods (Fig. 2). DNA metabarcoding of diatoms is a new area of research in the coastal waters and there are few studies performed so far and this is the first study relying on the rDNA metabarcoding of diatoms in the aquatic systems in Turkey. The comparison of the taxa using microscopy methods and metabarcoding techniques indicated some significant differences in the diatom composition. However, the results here with 18 species with metabarcoding vice-versa 21 taxa with microscopy methods confirms poor biodiversity in the Bosphorus. However, this study based on one sampling effort in one station for the comparison of the two methods, we had LM results from more stations in different seasons supporting the lower biodiversity. eDNA data is scarce from the coastal areas and our results comprise a promising number of genera. Results of this study could provide data for further research, which high number of diatoms could be determined with eDNA metabarcoding.


Diversity ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 123 ◽  
Author(s):  
Sara Atienza ◽  
Magdalena Guardiola ◽  
Kim Præbel ◽  
Adrià Antich ◽  
Xavier Turon ◽  
...  

Among the complex ecosystems and habitats that form the deep sea, submarine canyons and open slope systems are regarded as potential hotspots of biodiversity. We assessed the spatial and temporal patterns of biodiversity in sediment communities of a NW Mediterranean Canyon and its adjacent open slope (Blanes Canyon) with DNA metabarcoding. We sampled three layers of sediment and four different depths (900–1750 m) at two seasons, and used a fragment of the mitochondrial gene cytochrome c oxidase subunit I (COI) as a metabarcoding marker. The final dataset contained a total of 15,318 molecular operational taxonomic units (MOTUs). Metazoa, Stramenopiles and Archaeplastida were the dominant taxa and, within metazoans, Arthropoda, Nematoda and Cnidaria were the most diverse. There was a trend towards decreasing MOTU richness and diversity in the first few cm (1 to 5) of the sediment, with only 26.3% of the MOTUs shared across sediment layers. Our results show the presence of heterogeneous communities in the studied area, which was significantly different between zones, depths and seasons. We compared our results with the ones presented in a previous study, obtained using the v7 region of the 18S rRNA gene in the same samples. There were remarkable differences in the total number of MOTUs and in the most diverse taxa. COI recovered a higher number of MOTUs, but more remained unassigned taxonomically. However, the broad spatio-temporal patterns elucidated from both datasets coincided, with both markers retrieving the same ecological information. Our results showed that COI can be used to accurately characterize the studied communities and constitute a high-resolution method to detect ecological shifts. We also highlight that COI reference databases for deep-sea organisms have important gaps, and their completeness is essential in order to successfully apply metabarcoding techniques.


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