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Budi T, Kumnan N, Singchat W, Chalermwong P, Thong T, Wongloet W, Faniriharisoa Maxime Toky R, Pathomvanich P, Panthum T, Wattanadilokchatkun P, Farhan Ahmad S, Tanglertpaibul N, Vangnai K, Chaiyes A, Yokthongwattana C, Sinthuvanich C, Han K, Muangmai N, Koga A, Nunome M, Sawatdichaikul O, Duengkae P, Matsuda Y, Srikulnath K. Weak purifying selection in allelic diversity of the ADSL gene in indigenous and local chicken breeds and red junglefowl in Thailand. Gene 2024; 923:148587. [PMID: 38768877 DOI: 10.1016/j.gene.2024.148587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 05/01/2024] [Accepted: 05/16/2024] [Indexed: 05/22/2024]
Abstract
High levels of purine and uric acid, which are associated with health issues such as gout and cardiovascular disease, are found in the meat of fast-growing broiler chickens, which raises concerns about the quality of chicken meat and the health of the consumers who consume it. High genetic homogeneity and uniformity, particularly in genes involved in the synthesis of inosine monophosphate (IMP) and subsequent process of purine synthesis, which are associated with the meat quality, are exhibited in commercial broiler chickens owing to intensive inbreeding programs. Adenosine succinate lyase (ADSL) is a key enzyme involved in de novo purine biosynthetic pathway and its genetic polymorphisms affect IMP metabolism and purine content. In this study, we investigated the polymorphism of the ADSL gene in indigenous and local chicken breeds and red junglefowl in Thailand, using metabarcoding and genetic diversity analyses. Five alleles with 73 single nucleotide polymorphisms in exon 2, including missense and silent mutations, which may act on the synthesis efficiency of IMP and purine. Their protein structures revealed changes in amino acid composition that may affect ADSL enzyme activity. Weak purifying selection in these ADSL alleles was observed in the chicken population studied, implying that the variants have minor fitness impacts and a greater probability of fixation of beneficial mutations than strong purifying selection. A potential selective sweep was observed in Mae Hong Son chickens, whose purine content was lower than that in other breeds. This suggests a potential correlation between variations of the ADSL gene and reduced purine content and an impact of ADSL expression on the quality of chicken meat. However, further studies are required to validate its potential availability as a genetic marker for selecting useful traits that are beneficial to human health and well-being.
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Affiliation(s)
- Trifan Budi
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Nichakorn Kumnan
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Sciences for Industry, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Worapong Singchat
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Piangjai Chalermwong
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Sciences for Industry, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Thanyapat Thong
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Wongsathit Wongloet
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Rajaonarison Faniriharisoa Maxime Toky
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Prangyapawn Pathomvanich
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Thitipong Panthum
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Pish Wattanadilokchatkun
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Syed Farhan Ahmad
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Sciences for Industry, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Nivit Tanglertpaibul
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Sciences for Industry, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Kanithaporn Vangnai
- Department of Food Science and Technology, Faculty of Agro-Industry, Kasetsart University, Bangkok 10900, Thailand
| | - Aingorn Chaiyes
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; School of Agriculture and Cooperatives, Sukhothai Thammathirat Open University, Nonthaburi 11120, Thailand
| | - Chotika Yokthongwattana
- Department of Biochemistry, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand
| | - Chomdao Sinthuvanich
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Department of Biochemistry, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand
| | - Kyudong Han
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Department of Microbiology, Dankook University, Cheonan 31116, Republic of Korea; Bio-Medical Engineering Core Facility Research Center, Dankook University, Cheonan 31116, Republic of Korea
| | - Narongrit Muangmai
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Department of Fishery Biology, Faculty of Fisheries, Kasetsart University, Bangkok 10900, Thailand
| | - Akihiko Koga
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Mitsuo Nunome
- Department of Zoology, Faculty of Science, Okayama University of Science, Ridai-cho 1-1, Kita-ku, Okayama City, Okayama 700-0005, Japan
| | - Orathai Sawatdichaikul
- Department of Nutrition and Health, Institute of Food Research and Product Development, Kasetsart University, Bangkok 10900, Thailand
| | - Prateep Duengkae
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Yoichi Matsuda
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Kornsorn Srikulnath
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; Laboratory of Animal Cytogenetics and Comparative Genomics (ACCG), Department of Genetics, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand.
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Corradini B, Gianfreda D, Ferri G, Ferrari F, Borciani I, Santunione AL, Cecchi R. Forensic species identification: practical guide for animal and plant DNA analysis. Int J Legal Med 2024:10.1007/s00414-024-03284-2. [PMID: 38985195 DOI: 10.1007/s00414-024-03284-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 06/29/2024] [Indexed: 07/11/2024]
Abstract
The importance of non-human DNA in the forensic field has increased greatly in recent years, together with the type of applications. The molecular species identification of animal and botanical material may be crucial both for wildlife trafficking and crime scene investigation. However, especially for forensic botany, several challenges slow down the implementation of the discipline in the routine.Although the importance of molecular analysis of animal origin samples is widely recognized and the same value is acknowledged to the botanical counterpart, the latter does not find the same degree of application.The availability of molecular methods, especially useful in cases where the material is fragmented, scarce or spoiled preventing the morphological identification, is not well known. This work is intended to reaffirm the relevance of non-human forensic genetics (NHFG), highlighting differences, benefits and pitfalls of the current most common molecular analysis workflow for animal and botanical samples, giving a practical guide. A flowchart describing the analysis paths, divided in three major working areas (inspection and sampling, molecular analysis, data processing and interpretation), is provided. More real casework examples of the utility of non-human evidence in forensic investigations should be shared by the scientific community, especially for plants. Moreover, concrete efforts to encourage initiatives in order to promote quality and standardization in the NHFG field are also needed.
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Affiliation(s)
- Beatrice Corradini
- Department of Biomedical, Metabolic and Neural Sciences, Institute of Legal Medicine, University of Modena and Reggio Emilia, Modena, Italy.
| | - Denise Gianfreda
- Department of Biomedical, Metabolic and Neural Sciences, Institute of Legal Medicine, University of Modena and Reggio Emilia, Modena, Italy
| | - Gianmarco Ferri
- Department of Biomedical, Metabolic and Neural Sciences, Institute of Legal Medicine, University of Modena and Reggio Emilia, Modena, Italy
| | | | - Ilaria Borciani
- Department of Biomedical, Metabolic and Neural Sciences, Institute of Legal Medicine, University of Modena and Reggio Emilia, Modena, Italy
| | - Anna Laura Santunione
- Department of Biomedical, Metabolic and Neural Sciences, Institute of Legal Medicine, University of Modena and Reggio Emilia, Modena, Italy
| | - Rossana Cecchi
- Department of Biomedical, Metabolic and Neural Sciences, Institute of Legal Medicine, University of Modena and Reggio Emilia, Modena, Italy
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Janko Š, Rok Š, Blaž K, Danilo B, Andrej G, Denis K, Klemen Č, Matjaž G. DNA barcoding insufficiently identifies European wild bees (Hymenoptera, Anthophila) due to undefined species diversity, genus-specific barcoding gaps and database errors. Mol Ecol Resour 2024; 24:e13953. [PMID: 38523561 DOI: 10.1111/1755-0998.13953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 03/08/2024] [Accepted: 03/13/2024] [Indexed: 03/26/2024]
Abstract
Recent declines in insect abundances, especially populations of wild pollinators, pose a threat to many natural and agricultural ecosystems. Traditional species monitoring relies on morphological character identification and is inadequate for efficient and standardized surveys. DNA barcoding has become a standard approach for molecular identification of organisms, aiming to overcome the shortcomings of traditional biodiversity monitoring. However, its efficacy depends on the completeness of reference databases. Large DNA barcoding efforts are (almost entirely) lacking in many European countries and such patchy data limit Europe-wide analyses of precisely how to apply DNA barcoding in wild bee identification. Here, we advance towards an effective molecular identification of European wild bees. We conducted a high-effort survey of wild bees at the junction of central and southern Europe and DNA barcoded all collected morphospecies. For global analyses, we complemented our DNA barcode dataset with all relevant European species and conducted global analyses of species delimitation, general and genus-specific barcoding gaps and examined the error rate in DNA data repositories. We found that (i) a sixth of all specimens from Slovenia could not be reliably identified, (ii) species delimitation methods show numerous systematic discrepancies, (iii) there is no general barcoding gap across all bees and (iv) the barcoding gap is genus specific, but only after curating for errors in DNA data repositories. Intense sampling and barcoding efforts in underrepresented regions and strict curation of DNA barcode repositories are needed to enhance the use of DNA barcoding for the identification of wild bees.
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Affiliation(s)
- Šet Janko
- Jovan Hadži Institute of Biology, Scientific Research Centre of the Slovenian Academy of Sciences and Arts, Ljubljana, Slovenia
- Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Šturm Rok
- Department of Organisms and Ecosystems Research, National Institute of Biology, Ljubljana, Slovenia
| | - Koderman Blaž
- Department of Organisms and Ecosystems Research, National Institute of Biology, Ljubljana, Slovenia
| | - Bevk Danilo
- Department of Organisms and Ecosystems Research, National Institute of Biology, Ljubljana, Slovenia
| | - Gogala Andrej
- Slovenian Museum of Natural History, Ljubljana, Slovenia
| | - Kutnjak Denis
- Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia
| | - Čandek Klemen
- Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia
- Department of Organisms and Ecosystems Research, National Institute of Biology, Ljubljana, Slovenia
| | - Gregorič Matjaž
- Jovan Hadži Institute of Biology, Scientific Research Centre of the Slovenian Academy of Sciences and Arts, Ljubljana, Slovenia
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Onyango B, Copeland R, Mbogholi J, Wamalwa M, Kibet C, Tonnang HEZ, Senagi K. WiPFIM: A digital platform for interlinking biocollections of wild plants, fruits, associated insects, and their molecular barcodes. Ecol Evol 2024; 14:e11457. [PMID: 38826163 PMCID: PMC11143469 DOI: 10.1002/ece3.11457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 04/12/2024] [Accepted: 05/07/2024] [Indexed: 06/04/2024] Open
Abstract
The current knowledge on insects feeding on fruits is limited, and some of the scarce existing data on the fruit-associated insects are secluded within the host institutions. Consequently, their value is not fully realized. Moreover, in countries like Kenya, the integration of biocollections data within a digital framework has not been fully exploited. To address these gaps, this article presents a description of the development of a web-based platform for data sharing and integrating biodiversity historical data of wild plants, fruits, associated insects, and their molecular barcodes (WiPFIM) while leveraging data science technologies. The barcodes corresponding to the biocollections data were retrieved from BOLD database. The platform is an online resource about fruit-insect interactions that can be of interest to a worldwide community of users and can be useful in building innovative tools. The platform is accessible online at https://test-dmmg.icipe.org/wpfhi.
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Affiliation(s)
- Bonface Onyango
- Data Management, Modeling and Geo‐Information (DMMG) UnitInternational Centre of Insect Physiology and EcologyNairobiKenya
- Biochemistry and Biotechnology DepartmentPwani UniversityKilifiKenya
| | - Robert Copeland
- Data Management, Modeling and Geo‐Information (DMMG) UnitInternational Centre of Insect Physiology and EcologyNairobiKenya
| | - John Mbogholi
- Biochemistry and Biotechnology DepartmentPwani UniversityKilifiKenya
| | - Mark Wamalwa
- Data Management, Modeling and Geo‐Information (DMMG) UnitInternational Centre of Insect Physiology and EcologyNairobiKenya
| | - Caleb Kibet
- Data Management, Modeling and Geo‐Information (DMMG) UnitInternational Centre of Insect Physiology and EcologyNairobiKenya
| | - Henri E. Z. Tonnang
- Data Management, Modeling and Geo‐Information (DMMG) UnitInternational Centre of Insect Physiology and EcologyNairobiKenya
| | - Kennedy Senagi
- Data Management, Modeling and Geo‐Information (DMMG) UnitInternational Centre of Insect Physiology and EcologyNairobiKenya
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Samreen KB, Manzoor F. Assessing arthropod biodiversity with DNA barcoding in Jinnah Garden, Lahore, Pakistan. PeerJ 2024; 12:e17420. [PMID: 38832046 PMCID: PMC11146329 DOI: 10.7717/peerj.17420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 04/28/2024] [Indexed: 06/05/2024] Open
Abstract
Previous difficulties in arthropod taxonomy (such as limitations in conventional morphological approaches, the possibility of cryptic species and a shortage of knowledgeable taxonomists) has been overcome by the powerful tool of DNA barcoding. This study presents a thorough analysis of DNA barcoding in regards to Pakistani arthropods, which were collected from Lahore's Jinnah Garden. The 88 % (9,451) of the 10,792 specimens that were examined were able to generate DNA barcodes and 83% (8,974) of specimens were assigned 1,361 barcode index numbers (BINs). However, the success rate differed significantly between the orders of arthropods, from 77% for Thysanoptera to an astounding 93% for Diptera. Through morphological exams, DNA barcoding, and cross-referencing with the Barcode of Life Data system (BOLD), the Barcode Index Numbers (BINs) were assigned with a high degree of accuracy, both at the order (100%) and family (98%) levels. Though, identifications at the genus (37%) and species (15%) levels showed room for improvement. This underscores the ongoing need for enhancing and expanding the DNA barcode reference library. This study identified 324 genera and 191 species, underscoring the advantages of DNA barcoding over traditional morphological identification methods. Among the 17 arthropod orders identified, Coleoptera, Diptera, Hemiptera, Hymenoptera, and Lepidoptera from the class Insecta dominated, collectively constituting 94% of BINs. Expected malaise trap Arthropod fauna in Jinnah Garden could contain approximately 2,785 BINs according to Preston log-normal species distribution, yet the Chao-1 Index predicts 2,389.74 BINs. The Simpson Index of Diversity (1-D) is 0.989, signaling high species diversity, while the Shannon Index is 5.77, indicating significant species richness and evenness. These results demonstrated that in Pakistani arthropods, DNA barcoding and BOLD are an invaluable tool for improving taxonomic understanding and biodiversity assessment, opening the door for further eDNA and metabarcoding research.
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Affiliation(s)
- Khush Bakhat Samreen
- Department of Zoology, Lahore College for Women University, Lahore, Lahore, Pakistan
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Dokane K. Analysis of markers for forensic plant species identification. Forensic Sci Int 2024; 358:112007. [PMID: 38579526 DOI: 10.1016/j.forsciint.2024.112007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 02/08/2024] [Accepted: 03/20/2024] [Indexed: 04/07/2024]
Abstract
While plant species identification in forensics can be useful in cases involving poisonous, psychoactive, or endangered plant species, it can also become quite challenging, especially, when dealing with processed, decaying, colonized or infected material of plant origin. The Animal Plant and Soil Traces expert working group of the European Network of Forensic Science Institutes in their best practice manual has recommended several markers for plant species identification. Current study is a part of implementation of method in a forensic laboratory and its aim is to evaluate four of the recommended markers (ITS, matK, rbcL, and trnH-psbA) for species identification of forensically important plant species including medicinal, poisonous, psychoactive, and other plants. Such parameters as PCR and sequencing success, sequence length, species resolution rate and species cover in GenBank were analysed. Blind testing was performed to evaluate use of the markers for identification of forensically more complicated samples. According to results, a combination of ITS, matK and trnH-psbA is the best choice for plant species identification. The best results with fresh plant material can be achieved with ITS, trnH-psbA, and matK, while ITS and matK are the best choice when working with low quality plant material. rbcL due to its low species discrimination rate can be used only as an indicative marker.
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Affiliation(s)
- Kristine Dokane
- Biological and Chemical Investigations, State Forensic Science Bureau, 1 Invalidu street, Riga LV-1013, Latvia.
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Vuong P, Griffiths AP, Barbour E, Kaur P. The buzz about honey-based biosurveys. NPJ BIODIVERSITY 2024; 3:8. [PMID: 39242847 PMCID: PMC11332087 DOI: 10.1038/s44185-024-00040-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 02/08/2024] [Indexed: 09/09/2024]
Abstract
Approximately 1.8 million metric tonnes of honey are produced globally every year. The key source behind this output, the honey bee (Apis mellifera), works tirelessly to create the delicious condiment that is consumed worldwide. The honey that finds its way into jars on store shelves contains a myriad of information about its biogeographical origins, such as the bees that produced it, the botanical constituents, and traces of other organisms or pathogens that have come in contact with the product or its producer. With the ongoing threat of honey bee decline and overall global biodiversity loss, access to ecological information has become an key factor in preventing the loss of species. This review delves into the various molecular techniques developed to characterize the collective DNA harnessed within honey samples, and how it can be used to elucidate the ecological interactions between honey bees and the environment. We also explore how these DNA-based methods can be used for large-scale biogeographical studies through the environmental DNA collected by foraging honey bees. Further development of these techniques can assist in the conservation of biodiversity by detecting ecosystem perturbations, with the potential to be expanded towards other critical flying pollinators.
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Affiliation(s)
- Paton Vuong
- UWA School of Agriculture & Environment, University of Western Australia, Perth, Australia
| | - Anna Poppy Griffiths
- UWA School of Agriculture & Environment, University of Western Australia, Perth, Australia
| | - Elizabeth Barbour
- UWA School of Agriculture & Environment, University of Western Australia, Perth, Australia
| | - Parwinder Kaur
- UWA School of Agriculture & Environment, University of Western Australia, Perth, Australia.
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Karimifard S, Saberi-Pirooz R, Ahmadzadeh F, Aghamir F. Investigating the impacts of agricultural land use on soil earthworm communities: A case study of northern Zagros Mountains of Iran. Heliyon 2024; 10:e23523. [PMID: 38173494 PMCID: PMC10761580 DOI: 10.1016/j.heliyon.2023.e23523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 12/05/2023] [Accepted: 12/05/2023] [Indexed: 01/05/2024] Open
Abstract
Earthworms play a crucial role in the invertebrate community of soil by contributing to the belowground biomass and biogeochemical cycle. Environmental stresses, such as human activities and land use changes, have been found to negatively affect their abundance and diversity. To investigate the impact of agricultural land use and pastures on earthworms' genetic diversity in the Northern Zagros Mountains, we used COI molecular marker and DNA barcoding approaches. We collected earthworm specimens from four farmland sites and six pastures and assessed the abundance and species composition of earthworm communities across the two land uses using quadrat sampling. Using the barcoding method, we identified 13 molecular operational taxonomic units (MOTUs) among the captured earthworms. Our results showed that the number of total MOTUs, density, and earthworm communities differed significantly between the two land uses. We also found that pastures had more abundant earthworms, while farmlands had greater diversity. The diversity of OTUs in the Lumbricidae family was dominant in the agricultural system. Overall, the population of invasive earthworm species in cultivation systems is influenced by chemical inputs and organic materials from plant residues, cover crops, manure, or organic fertilizers. Given the rapid rate of land use change worldwide, especially in Iran, it is crucial to understand the impact of disturbances on earthworms.
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Affiliation(s)
- Shadi Karimifard
- Department of Biodiversity and Ecosystem Management, Environmental Sciences Research Institute, Shahid Beheshti University, G.C., Evin, Tehran, 1983963113, Iran
| | - Reihaneh Saberi-Pirooz
- Department of Biodiversity and Ecosystem Management, Environmental Sciences Research Institute, Shahid Beheshti University, G.C., Evin, Tehran, 1983963113, Iran
| | - Faraham Ahmadzadeh
- Department of Biodiversity and Ecosystem Management, Environmental Sciences Research Institute, Shahid Beheshti University, G.C., Evin, Tehran, 1983963113, Iran
| | - Fatemeh Aghamir
- Department of Agroecology, Environmental Sciences Research Institute, Shahid Beheshti University, G.C., Evin, Tehran, 1983963113, Iran
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9
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Damaso N, Elwick KE, Robertson JM. Guidelines for the Analysis of DNA Barcoding/Metabarcoding Sequencing Data and Interpretation of Publicly Available Databases. Methods Mol Biol 2024; 2744:391-402. [PMID: 38683333 DOI: 10.1007/978-1-0716-3581-0_25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
This chapter describes procedures for the use of DNA sequence data to obtain and compare taxonomic identification using the public databases GenBank and Barcode of Life Data System (BOLD). The chapter begins by describing procedures used to prepare quality sequences for uploading into GenBank and BOLD. Next, steps used to query the DNA sequences against the public databases are described using GenBank BLAST and BOLD identification engines. Interpretation guidelines for the taxonomic identification assignments are presented. Finally, a procedure for evaluating the accuracy and reliability of sequences from GenBank and BOLD is provided.
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Affiliation(s)
- Natalie Damaso
- Counter WMD Systems, Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, MA, USA
| | - Kyleen E Elwick
- Research & Support Unit, Laboratory Division, Federal Bureau of Investigation, Quantico, VA, USA
| | - James M Robertson
- Research & Support Unit, Laboratory Division, Federal Bureau of Investigation, Quantico, VA, USA.
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Curd EE, Gal L, Gallego R, Silliman K, Nielsen S, Gold Z. rCRUX: A Rapid and Versatile Tool for Generating Metabarcoding Reference libraries in R. ENVIRONMENTAL DNA (HOBOKEN, N.J.) 2024; 6:e489. [PMID: 38370872 PMCID: PMC10871694 DOI: 10.1002/edn3.489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 10/19/2023] [Indexed: 02/20/2024]
Abstract
The sequencing revolution requires accurate taxonomic classification of DNA sequences. Key to making accurate taxonomic assignments are curated, comprehensive reference barcode databases. However, the generation and curation of such databases has remained challenging given the large and continuously growing volumes of both DNA sequence data and novel reference barcode targets. Monitoring and research applications require a greater diversity of specialized gene regions and targeted taxa then are currently curated by professional staff. Thus there is a growing need for an easy to implement computational tool that can generate comprehensive metabarcoding reference libraries for any bespoke locus. We address this need by reimagining CRUX from the Anacapa Toolkit and present the rCRUX package in R which, like it's predecessor, relies on sequence homology and PCR primer compatibility instead of keyword-searches to avoid limitations of user-defined metadata. The typical workflow involves searching for plausible seed amplicons (get_seeds_local() or get_seeds_remote()) by simulating in silico PCR to acquire a set of sequences analogous to PCR products containing a user-defined set of primer sequences. Next, these seeds are used to iteratively blast search seed sequences against a local copy of the National Center for Biotechnology Information (NCBI) formatted nt database using a taxonomic-rank based stratified random sampling approach ( blast_seeds() ). This results in a comprehensive set of sequence matches. This database is dereplicated and cleaned (derep_and_clean_db()) by identifying identical reference sequences and collapsing the taxonomic path to the lowest taxonomic agreement across all matching reads. This results in a curated, comprehensive database of primer-specific reference barcode sequences from NCBI. Databases can then be compared (compare_db()) to determine read and taxonomic overlap. We demonstrate that rCRUX provides more comprehensive reference databases for the MiFish Universal Teleost 12S, Taberlet trnl, fungal ITS, and Leray CO1 loci than CRABS, MetaCurator, RESCRIPt, and ecoPCR reference databases. We then further demonstrate the utility of rCRUX by generating 24 reference databases for 20 metabarcoding loci, many of which lack dedicated reference database curation efforts. The rCRUX package provides a simple to use tool for the generation of curated, comprehensive reference databases for user-defined loci, facilitating accurate and effective taxonomic classification of metabarcoding and DNA sequence efforts broadly.
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Affiliation(s)
- Emily E. Curd
- Vermont Biomedical Research Network, University of Vermont, VT, USA
| | - Luna Gal
- Landmark College, VT, USA
- California Cooperative Oceanic Fisheries Investigations (CalCOFI), Scripps Institution of Oceanography, University of California San Diego (UCSD), La Jolla, CA, USA
| | - Ramon Gallego
- Departamento de Biología, Universidad Autónoma de Madrid, Cantoblanco, Madrid, Spain
| | - Katherine Silliman
- Northern Gulf Institute, Mississippi State University, Starkville, MS, USA
- NOAA Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, USA
| | | | - Zachary Gold
- California Cooperative Oceanic Fisheries Investigations (CalCOFI), Scripps Institution of Oceanography, University of California San Diego (UCSD), La Jolla, CA, USA
- NOAA Pacific Marine Environmental Laboratory, Seattle, WA, USA
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11
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Elwick KE, Damaso N, Robertson JM. DNA Barcoding and Metabarcoding Protocols for Species Identification. Methods Mol Biol 2024; 2744:155-169. [PMID: 38683317 DOI: 10.1007/978-1-0716-3581-0_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
The article presents the several steps to be performed on a plant, fungal, insect, or soil sample to obtain DNA sequences for DNA barcode analysis. The chapter begins with a description of sample preparation including procedures for cleaning and proceeds to DNA extraction with methods adapted for the specific type of sample. Next, DNA quantification is described so the proper amount is used for the amplification of the selected barcode regions. Information is provided for reaction mixes and amplification conditions for several referenced barcode primer pairs tuned for the individual sample of interest. This is followed by a description of procedures to access the success of amplification, cleanup, and quantification of the product ready for either Sanger sequencing or library preparation for massive parallel sequencing (MPS). Finally, procedures are provided for Sanger sequencing, library preparation, and MPS sequencing. The chapter provides several references of barcode regions for different sample types.
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Affiliation(s)
- Kyleen E Elwick
- Research & Support Unit, Laboratory Division, Federal Bureau of Investigation, Quantico, VA, USA
| | - Natalie Damaso
- Counter WMD Systems, Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, MA, USA
| | - James M Robertson
- Research & Support Unit, Laboratory Division, Federal Bureau of Investigation, Quantico, VA, USA.
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12
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Meglécz E. mkLTG: a command-line tool for taxonomic assignment of metabarcoding sequences using variable identity thresholds. Biol Futur 2023; 74:369-375. [PMID: 38300415 DOI: 10.1007/s42977-024-00201-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 01/04/2024] [Indexed: 02/02/2024]
Abstract
Metabarcoding is now a widely used method for biodiversity studies. Taxonomic assignment of environmental sequences is one of the key steps of metabarcoding. Assignments based on lowest common ancestor (LCA) method generally rely on fixed arbitrary thresholds, and this is generally not well adapted for assignment of taxonomically diverse groups with variable coverage in reference databases. The mkLTG is a LCA-based method that uses a series of percentage of identity thresholds starting from stringent parameters and decreasing it if necessary. All parameters can be set separately for each percentage of identity threshold, which makes this tool adaptable for different databases, genetic markers and diverse taxonomic groups. The optimization step was included using the COI marker and a comprehensive, non-redundant database. The mkLTG tool is a command-line application with few dependencies that runs in all operating systems, therefore, it is easy to include into complex pipelines. All scripts are freely available including the benchmarking at https://github.com/meglecz/mkLTG .
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Affiliation(s)
- Emese Meglécz
- IMBE, CNRS, IRD, Aix Marseille University, Avignon University, Marseille, France.
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13
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Smith JC, Varriano S, Roach K, Snipes Z, Dawson JL, Shealy J, Dunn LL, Snyder WE, Shariat NW. Prevalence and molecular characterization of Salmonella isolated from wild birds in fresh produce environments. Front Microbiol 2023; 14:1272916. [PMID: 38029194 PMCID: PMC10662084 DOI: 10.3389/fmicb.2023.1272916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 09/25/2023] [Indexed: 12/01/2023] Open
Abstract
Wild birds pose a difficult food safety risk to manage because they can avoid traditional wildlife mitigation strategies, such as fences. Birds often use agricultural fields and structures as foraging and nesting areas, which can lead to defecation on crops and subsequent transfer of foodborne pathogens. To assess the food safety risk associated with these events, wild bird feces were collected from produce fields across the southeastern United States during the 2021 and 2022 growing seasons. In total 773 fecal samples were collected from 45 farms across Florida, Georgia, South Carolina, and Tennessee, and 2.1% (n = 16) of samples were Salmonella-positive. Importantly, 75% of Salmonella were isolated from moist feces, showing reduced Salmonella viability when feces dry out. 16S microbiome analysis showed that presence of culturable Salmonella in moist feces correlated to a higher proportion of the Enterobacteriaceae family. From the Salmonella-positive samples, 62.5% (10/16) contained multi-serovar Salmonella populations. Overall, 13 serovars were detected, including six most commonly attributed to human illness (Enteriditis, Newport, Typhimurium, Infantis, Saintpaul, and Muenchen). PCR screening identified an additional 59 Salmonella-positive fecal samples, which were distributed across moist (n = 44) and dried feces (n = 15). On-farm point counts and molecular identification from fecal samples identified 57 bird species, including for 10 Salmonella-positive fecal samples. Overall, there was a low prevalence of Salmonella in fecal samples, especially in dried feces, and we found no evidence of Salmonella transmission to proximal foliage or produce. Fecal samples collected in farms close together shared highly related isolates by whole genome sequencing and also had highly similar Salmonella populations with comparable relative frequencies of the same serovars, suggesting the birds acquired Salmonella from a common source.
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Affiliation(s)
- Jared C. Smith
- Departments of Population Health and Microbiology, University of Georgia, Athens, GA, United States
| | - Sofia Varriano
- Department of Entomology, University of Georgia, Athens, GA, United States
| | - Kerrie Roach
- Department of Plant Industry, Clemson University Extension, Charleston, SC, United States
| | - Zach Snipes
- Department of Plant Industry, Clemson University Extension, Charleston, SC, United States
| | - Joshua L. Dawson
- Fort Valley State University Extension, Fort Valley, GA, United States
| | - Justin Shealy
- College of Agricultural and Environmental Sciences, University of Georgia Extension, Athens, GA, United States
| | - Laurel L. Dunn
- Department of Food Science and Technology, University of Georgia, Athens, GA, United States
- Center for Food Safety, University of Georgia, Griffin, GA, United States
| | - William E. Snyder
- Department of Entomology, University of Georgia, Athens, GA, United States
| | - Nikki W. Shariat
- Departments of Population Health and Microbiology, University of Georgia, Athens, GA, United States
- Center for Food Safety, University of Georgia, Griffin, GA, United States
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14
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Dziedzic E, Sidlauskas B, Cronn R, Anthony J, Cornwell T, Friesen TA, Konstantinidis P, Penaluna BE, Stein S, Levi T. Creating, curating and evaluating a mitogenomic reference database to improve regional species identification using environmental DNA. Mol Ecol Resour 2023; 23:1880-1904. [PMID: 37602732 DOI: 10.1111/1755-0998.13855] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 07/11/2023] [Accepted: 08/02/2023] [Indexed: 08/22/2023]
Abstract
Species detection using eDNA is revolutionizing global capacity to monitor biodiversity. However, the lack of regional, vouchered, genomic sequence information-especially sequence information that includes intraspecific variation-creates a bottleneck for management agencies wanting to harness the complete power of eDNA to monitor taxa and implement eDNA analyses. eDNA studies depend upon regional databases of mitogenomic sequence information to evaluate the effectiveness of such data to detect and identify taxa. We created the Oregon Biodiversity Genome Project to create a database of complete, nearly error-free mitogenomic sequences for all of Oregon's fishes. We have successfully assembled the complete mitogenomes of 313 specimens of freshwater, anadromous and estuarine fishes representing 24 families, 55 genera and 129 species and lineages. Comparative analyses of these sequences illustrate that many regions of the mitogenome are taxonomically informative, that the short (~150 bp) mitochondrial 'barcode' regions typically used for eDNA assays do not consistently diagnose for species and that complete single or multiple genes of the mitogenome are preferable for identifying Oregon's fishes. This project provides a blueprint for other researchers to follow as they build regional databases, illustrates the taxonomic value and limits of complete mitogenomic sequences and offers clues as to how current eDNA assays and environmental genomics methods of the future can best leverage this information.
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Affiliation(s)
- Emily Dziedzic
- Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Brian Sidlauskas
- Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Richard Cronn
- Pacific Northwest Research Station, US Department of Agriculture Forest Service, Corvallis, Oregon, USA
| | - James Anthony
- Oregon Department of Fish and Wildlife, Corvallis Research Laboratory, Corvallis, Oregon, USA
| | - Trevan Cornwell
- Oregon Department of Fish and Wildlife, Corvallis Research Laboratory, Corvallis, Oregon, USA
| | - Thomas A Friesen
- Oregon Department of Fish and Wildlife, Corvallis Research Laboratory, Corvallis, Oregon, USA
| | - Peter Konstantinidis
- Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Brooke E Penaluna
- Pacific Northwest Research Station, US Department of Agriculture Forest Service, Corvallis, Oregon, USA
| | - Staci Stein
- Oregon Department of Fish and Wildlife, Corvallis Research Laboratory, Corvallis, Oregon, USA
| | - Taal Levi
- Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Corvallis, Oregon, USA
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15
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Weber N, Nagy M, Markotter W, Schaer J, Puechmaille SJ, Sutton J, Dávalos LM, Dusabe MC, Ejotre I, Fenton MB, Knörnschild M, López-Baucells A, Medellin RA, Metz M, Mubareka S, Nsengimana O, O'Mara MT, Racey PA, Tuttle M, Twizeyimana I, Vicente-Santos A, Tschapka M, Voigt CC, Wikelski M, Dechmann DK, Reeder DM. Robust evidence for bats as reservoir hosts is lacking in most African virus studies: a review and call to optimize sampling and conserve bats. Biol Lett 2023; 19:20230358. [PMID: 37964576 PMCID: PMC10646460 DOI: 10.1098/rsbl.2023.0358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 10/25/2023] [Indexed: 11/16/2023] Open
Abstract
Africa experiences frequent emerging disease outbreaks among humans, with bats often proposed as zoonotic pathogen hosts. We comprehensively reviewed virus-bat findings from papers published between 1978 and 2020 to evaluate the evidence that African bats are reservoir and/or bridging hosts for viruses that cause human disease. We present data from 162 papers (of 1322) with original findings on (1) numbers and species of bats sampled across bat families and the continent, (2) how bats were selected for study inclusion, (3) if bats were terminally sampled, (4) what types of ecological data, if any, were recorded and (5) which viruses were detected and with what methodology. We propose a scheme for evaluating presumed virus-host relationships by evidence type and quality, using the contrasting available evidence for Orthoebolavirus versus Orthomarburgvirus as an example. We review the wording in abstracts and discussions of all 162 papers, identifying key framing terms, how these refer to findings, and how they might contribute to people's beliefs about bats. We discuss the impact of scientific research communication on public perception and emphasize the need for strategies that minimize human-bat conflict and support bat conservation. Finally, we make recommendations for best practices that will improve virological study metadata.
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Affiliation(s)
- Natalie Weber
- Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany
- University of Ulm, Institute of Evolutionary Ecology and Conservation Genomics, Ulm, Germany
| | - Martina Nagy
- Museum für Naturkunde, Leibniz-Institute for Evolution and Biodiversity Science, Berlin, Germany
| | - Wanda Markotter
- Centre for Viral Zoonoses, Department of Medical Virology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Juliane Schaer
- Museum für Naturkunde, Leibniz-Institute for Evolution and Biodiversity Science, Berlin, Germany
- Institute of Biology, Humboldt University, Berlin, Germany
| | - Sébastien J. Puechmaille
- ISEM, University of Montpellier, Montpellier, France
- Institut Universitaire de France, Paris, France
- Zoological Institute and Museum, University of Greifswald, Greifswald, Germany
| | | | - Liliana M. Dávalos
- Department of Ecology and Evolution and Consortium for Inter-Disciplinary Environmental Research, Stony Brook University, Stony Brook, USA
| | | | - Imran Ejotre
- Institute of Biology, Humboldt University, Berlin, Germany
- Muni University, Arua, Uganda
| | - M. Brock Fenton
- Department of Biology, University of Western Ontario, London, Ontario, Canada
| | - Mirjam Knörnschild
- Museum für Naturkunde, Leibniz-Institute for Evolution and Biodiversity Science, Berlin, Germany
- Evolutionary Ethology, Institute for Biology, Humboldt-Universität zu Berlin, Berlin, Germany
- Smithsonian Tropical Research Institute, Balboa, Ancón, Panama
| | | | - Rodrigo A. Medellin
- Institute of Ecology, National Autonomous University of Mexico, Mexico City, Mexico
| | | | - Samira Mubareka
- Sunnybrook Research Institute and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | | | - M. Teague O'Mara
- Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany
- Smithsonian Tropical Research Institute, Balboa, Ancón, Panama
- Bat Conservation International Austin, TX, USA
- Department of Biological Sciences, Southeastern Louisiana University, Hammond, LA, USA
| | - Paul A. Racey
- Centre for Ecology and Conservation, University of Exeter, Exeter, UK
| | - Merlin Tuttle
- Merlin Tuttle's Bat Conservation, Austin, TX USA
- Department of Integrative Biology, University of Texas, Austin, USA
| | | | - Amanda Vicente-Santos
- Graduate Program in Population Biology, Ecology and Emory University, Atlanta, GA, USA
- Department of Biology, University of Oklahoma, Norman, OK, USA
| | - Marco Tschapka
- University of Ulm, Institute of Evolutionary Ecology and Conservation Genomics, Ulm, Germany
- Smithsonian Tropical Research Institute, Balboa, Ancón, Panama
| | | | - Martin Wikelski
- Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany
- Department of Biology, University of Konstanz, Konstanz, Germany
| | - Dina K.N. Dechmann
- Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany
- Smithsonian Tropical Research Institute, Balboa, Ancón, Panama
- Department of Biology, University of Konstanz, Konstanz, Germany
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16
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Xie T, Orr MC, Zhang D, Ferrari RR, Li Y, Liu X, Niu Z, Wang M, Zhou Q, Hao J, Zhu C, Chesters D. Phylogeny-based assignment of functional traits to DNA barcodes outperforms distance-based, in a comparison of approaches. Mol Ecol Resour 2023; 23:1526-1539. [PMID: 37202847 DOI: 10.1111/1755-0998.13813] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 04/27/2023] [Accepted: 05/05/2023] [Indexed: 05/20/2023]
Abstract
The full potential for using DNA barcodes for profiling functional trait diversity has yet to be determined in plants and animals; thus, we outline a general framework for quantifying functional trait diversity of insect community DNA and propose and assess the accuracy of three methods for achieving this. We built a novel dataset of traits and DNA barcodes for wild bees in China. An informatics framework was developed for phylogeny-based integration of these data and prediction of traits for any subject barcodes, which was compared with two distance-based methods. For Phylogenetic Assignment, we additionally conducted a species-level analysis of publically available bee trait data. Under the specimen-level dataset, the rate of trait assignment was negatively correlated with distance between the query and the nearest trait-known reference, for all methods. Phylogenetic Assignment was found to perform best under several criteria; particularly, it had the lowest false-positive rate (rarely returning a state prediction where success was unlikely; where the distance from query to the nearest reference was high). For a wider range of compiled traits, conservative life-history traits showed the highest rates of assignment; for example, sociality was predicted with confidence at 53%, parasitism at 44% and nest location at 33%. As outlined herein, automated trait assignment might be applied at scale to either barcodes or metabarcodes. With further compilation and databasing of DNA barcode and trait data, the rate and accuracy of trait assignment is expected to increase to the point of being a widely viable and informative approach.
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Affiliation(s)
- Tingting Xie
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Michael C Orr
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Entomologie, Staatliches Museum für Naturkunde Stuttgart, Stuttgart, Germany
| | - Dan Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Rafael R Ferrari
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Yi Li
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Xiuwei Liu
- Institute of Agro-Products Processing, Kunming, China
| | - Zeqing Niu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Mingqiang Wang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Qingsong Zhou
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jiasheng Hao
- College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Chaodong Zhu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- International College, University of Chinese Academy of Sciences, Beijing, China
| | - Douglas Chesters
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- International College, University of Chinese Academy of Sciences, Beijing, China
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17
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Lindner MF, Gonçalves LT, Bianchi FM, Ferrari A, Cavalleri A. Tiny insects, big troubles: a review of BOLD's COI database for Thysanoptera (Insecta). BULLETIN OF ENTOMOLOGICAL RESEARCH 2023; 113:703-715. [PMID: 37614126 DOI: 10.1017/s0007485323000391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Abstract
DNA Barcoding is an important tool for disciplines such as taxonomy, phylogenetics and phylogeography, with Barcode of Life Data System (BOLD) being the largest database of partial cytochrome c oxidase subunit I (COI) sequences. We provide the first extensive revision of the information available in this database for the insect order Thysanoptera, to assess: how many COI sequences are available; how representative these sequences are for the order; and the current potential of BOLD as a reference library for specimen identification and species delimitation. The COI database at BOLD currently represents only about 5% of the over 6400 valid thrips species, with a heavy bias towards a few species of economic importance. Clear Barcode gaps were observed for 24 out of 33 genera evaluated, but many outliers were also observed. We suggest that the COI sequences available in BOLD as a reference would not allow for accurate identifications in about 30% of Thysanoptera species in this database, which rises to 40% of taxa within Thripidae, the most sampled family within the order. Thus, we call for caution and a critical evaluation in using BOLD as a reference library for thrips Barcodes, and future efforts should focus on improving the data quality of this database.
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Affiliation(s)
- Mariana F Lindner
- Department of Zoology, Laboratório de Entomologia Sistemática, Institute of Biosciences, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Leonardo T Gonçalves
- Department of Genetics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Filipe M Bianchi
- Department of Zoology, Laboratório de Entomologia Sistemática, Institute of Biosciences, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Augusto Ferrari
- Laboratório de Entomologia, Sistemática e Biogeografia (LESB), Matéria Zoologia, Institute of Biological Sciences, Universidade Federal do Rio Grande (FURG), Rio Grande, RS, Brazil
| | - Adriano Cavalleri
- Laboratório de Entomologia, Sistemática e Biogeografia (LESB), Matéria Zoologia, Institute of Biological Sciences, Universidade Federal do Rio Grande (FURG), Rio Grande, RS, Brazil
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18
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Chalermwong P, Panthum T, Wattanadilokcahtkun P, Ariyaraphong N, Thong T, Srikampa P, Singchat W, Ahmad SF, Noito K, Rasoarahona R, Lisachov A, Ali H, Kraichak E, Muangmai N, Chatchaiphan S, Sriphairoj K, Hatachote S, Chaiyes A, Jantasuriyarat C, Chailertlit V, Suksavate W, Sonongbua J, Srimai W, Payungporn S, Han K, Antunes A, Srisapoome P, Koga A, Duengkae P, Matsuda Y, Na-Nakorn U, Srikulnath K. Overcoming taxonomic challenges in DNA barcoding for improvement of identification and preservation of clariid catfish species. Genomics Inform 2023; 21:e39. [PMID: 37813635 PMCID: PMC10584641 DOI: 10.5808/gi.23038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 06/12/2023] [Accepted: 06/23/2023] [Indexed: 10/11/2023] Open
Abstract
DNA barcoding without assessing reliability and validity causes taxonomic errors of species identification, which is responsible for disruptions of their conservation and aquaculture industry. Although DNA barcoding facilitates molecular identification and phylogenetic analysis of species, its availability in clariid catfish lineage remains uncertain. In this study, DNA barcoding was developed and validated for clariid catfish. 2,970 barcode sequences from mitochondrial cytochrome c oxidase I (COI) and cytochrome b (Cytb) genes and D-loop sequences were analyzed for 37 clariid catfish species. The highest intraspecific nearest neighbor distances were 85.47%, 98.03%, and 89.10% for COI, Cytb, and D-loop sequences, respectively. This suggests that the Cytb gene is the most appropriate for identifying clariid catfish and can serve as a standard region for DNA barcoding. A positive barcoding gap between interspecific and intraspecific sequence divergence was observed in the Cytb dataset but not in the COI and D-loop datasets. Intraspecific variation was typically less than 4.4%, whereas interspecific variation was generally more than 66.9%. However, a species complex was detected in walking catfish and significant intraspecific sequence divergence was observed in North African catfish. These findings suggest the need to focus on developing a DNA barcoding system for classifying clariid catfish properly and to validate its efficacy for a wider range of clariid catfish. With an enriched database of multiple sequences from a target species and its genus, species identification can be more accurate and biodiversity assessment of the species can be facilitated.
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Affiliation(s)
- Piangjai Chalermwong
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Sciences for Industry, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Thitipong Panthum
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Pish Wattanadilokcahtkun
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Nattakan Ariyaraphong
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Thanyapat Thong
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Phanitada Srikampa
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Worapong Singchat
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Syed Farhan Ahmad
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Kantika Noito
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Ryan Rasoarahona
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Sciences for Industry, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Artem Lisachov
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Hina Ali
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Ekaphan Kraichak
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Department of Botany, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand
| | - Narongrit Muangmai
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Department of Fishery Biology, Faculty of Fisheries, Kasetsart University, Bangkok 10900, Thailand
| | - Satid Chatchaiphan
- Department of Aquaculture, Faculty of Fisheries, Kasetsart University, Bangkok 10900, Thailand
| | - Kednapat Sriphairoj
- Faculty of Natural Resources and Agro-Industry, Kasetsart University Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon 47000, Thailand
| | - Sittichai Hatachote
- Faculty of Natural Resources and Agro-Industry, Kasetsart University Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon 47000, Thailand
| | - Aingorn Chaiyes
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- School of Agriculture and Cooperatives, Sukhothai Thammathirat Open University, Nonthaburi 11120, Thailand
| | - Chatchawan Jantasuriyarat
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Department of Genetics, Faculty of Science, Kasetsart University, Chatuchak, Bangkok, 10900, Thailand
| | - Visarut Chailertlit
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Department of Genetics, Faculty of Science, Kasetsart University, Chatuchak, Bangkok, 10900, Thailand
- Pathum Thani Aquatic Animal Genetics Research and Development Center, Aquatic Animal Genetics Research and Development Division, Department of Fisheries, Pathum Thani 12120, Thailand
| | - Warong Suksavate
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Jumaporn Sonongbua
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Faculty of Interdisciplinary Studies, Khon Kaen University, Nong Kom Ko, Mueang Nong Khai District, Nong Khai 43000, Thailand
| | - Witsanu Srimai
- Kalasin Fish Hatchery Farm (Betagro), Buaban, Yangtalad district, Kalasin 46120, Thailand
| | - Sunchai Payungporn
- Research Unit of Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Kyudong Han
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Department of Microbiology, Dankook University, Cheonan 31116, Korea
- Bio-Medical Engineering Core Facility Research Center, Dankook University, Cheonan 31116, Korea
| | - Agostinho Antunes
- CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Av. General Norton de Matos, s/n, 4450-208 Porto, Portugal
- Department of Biology, Faculty of Sciences, University of Porto, Rua do Campo Alegre, s/n, 4169-007 Porto, Portugal
| | - Prapansak Srisapoome
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Department of Aquaculture, Faculty of Fisheries, Kasetsart University, Bangkok 10900, Thailand
| | - Akihiko Koga
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Prateep Duengkae
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Yoichi Matsuda
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Uthairat Na-Nakorn
- Department of Aquaculture, Faculty of Fisheries, Kasetsart University, Bangkok 10900, Thailand
| | - Kornsorn Srikulnath
- Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Sciences for Industry, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Department of Genetics, Faculty of Science, Kasetsart University, Chatuchak, Bangkok, 10900, Thailand
- Center for Agricultural Biotechnology, No. 1, Moo 6, Kamphaeng Saen, Kamphaeng Saen, Nakhon Pathom 73140, Thailand
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19
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Vandergast AG, Brehme CS, Iwanowicz D, Cornman RS, Adsit‐Morris D, Fisher RN. Fecal metabarcoding of the endangered Pacific pocket mouse ( Perognathus longimembris pacificus) reveals a diverse and forb rich diet that reflects local habitat availability. Ecol Evol 2023; 13:e10460. [PMID: 37745784 PMCID: PMC10514273 DOI: 10.1002/ece3.10460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 08/02/2023] [Accepted: 08/17/2023] [Indexed: 09/26/2023] Open
Abstract
Information on diet breadth and preference can assist in understanding links between food resources and population growth and inform habitat restoration for rare herbivores. We assessed the diet of the endangered Pacific pocket mouse using metabarcoding of fecal samples and compared it to plant community composition in long-term study plots in two populations on Marine Corps Base Camp Pendleton, San Diego County, CA. Fecal samples (n = 221) were collected between spring 2016 and fall 2017 during monthly live-trap surveys. Concurrently, percent cover and plant phenology were measured in plots centered on trap locations. Fecal samples were sequenced with paired-end reads of the internal transcribed spacer 2 region of the nuclear ribosomal gene, and the resulting amplicons were matched to a regionally specific database. Seventy-three plant taxa were detected, which were mostly forbs and perennial herbs (70-90%). Diet composition differed between populations, years, seasons, and plots. Overall, diet and local habitat composition in plots were significantly correlated. However, we detected some differences in above-ground seed availability and proportion in fecal samples that indicate diet preferences for some forbs, perennial herbs, and native bunch grasses over perennial shrubs and non-native grasses. This is the first study of PPM to pair plant phenology surveys with diet metabarcoding to estimate resource selection, and results suggest that managing habitat for diverse native forb communities and reducing non-native grass cover may be beneficial for this critically endangered species.
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Affiliation(s)
- Amy G. Vandergast
- U.S. Geological SurveyWestern Ecological Research CenterSan DiegoCaliforniaUSA
| | - Cheryl S. Brehme
- U.S. Geological SurveyWestern Ecological Research CenterSan DiegoCaliforniaUSA
| | - Deborah Iwanowicz
- U.S. Geological Survey, Eastern Ecological Science Center, Leetown Research LaboratoryKearneysvilleWest VirginiaUSA
| | - Robert S. Cornman
- U.S. Geological SurveyFort Collins Science CenterFort CollinsColoradoUSA
| | - Devin Adsit‐Morris
- U.S. Geological SurveyWestern Ecological Research CenterSan DiegoCaliforniaUSA
| | - Robert N. Fisher
- U.S. Geological SurveyWestern Ecological Research CenterSan DiegoCaliforniaUSA
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20
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Cho Y, Kim D, Lee Y, Jeong J, Hussain S, Lim YW. Validation of Fuscoporia (Hymenochaetales, Basidiomycota) ITS sequences and five new species based on multi-marker phylogenetic and morphological analyses. IMA Fungus 2023; 14:12. [PMID: 37381063 DOI: 10.1186/s43008-023-00117-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 05/30/2023] [Indexed: 06/30/2023] Open
Abstract
Although there is a continuous increase in available molecular data, not all sequence identities in public databases are always properly verified and managed. Here, the sequences available in GenBank for Fuscoporia (Hymenochaetales) were validated. Many morphological characters of Fuscoporia overlap among the species, emphasizing the role of molecular identification for accuracy. The identities of 658 Fuscoporia GenBank internal transcribed spacer (ITS) sequences were assessed using ITS phylogeny, revealing 109 (16.6%) misidentified and 196 (29.8%) unspecified sequences. They were validated and re-identified based on the research articles they were published in and, if unpublished, based on sequences from the type, type locality-derived sequences, or otherwise reliable sequences. To enhance the resolution of species delimitation, a phylogenetic assessment of a multi-marker dataset (ITS + nrLSU + rpb2 + tef1) was conducted. The multi-marker phylogeny resolved five of the twelve species complexes found in the ITS phylogeny and uncovered five new Fuscoporia species: F. dolichoseta, F. gilvoides, F. koreana, F. reticulata, and F. semicephala. The validated ITS sequences in this study may prevent further accumulation of misidentified sequences in public databases and contribute to a more accurate taxonomic evaluation of Fuscoporia species.
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Affiliation(s)
- Yoonhee Cho
- School of Biological Sciences and Institute of Microbiology, Seoul National University, Seoul, Republic of Korea
| | - Dohye Kim
- School of Biological Sciences and Institute of Microbiology, Seoul National University, Seoul, Republic of Korea
| | - Yoongil Lee
- School of Biological Sciences and Institute of Microbiology, Seoul National University, Seoul, Republic of Korea
| | - Juhwan Jeong
- School of Biological Sciences and Institute of Microbiology, Seoul National University, Seoul, Republic of Korea
| | - Shahid Hussain
- Centre for Plant Sciences and Biodiversity, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan
| | - Young Woon Lim
- School of Biological Sciences and Institute of Microbiology, Seoul National University, Seoul, Republic of Korea.
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21
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Shimbori EM, Querino RB, Costa VA, Zucchi RA. Taxonomy and Biological Control: New Challenges in an Old Relationship. NEOTROPICAL ENTOMOLOGY 2023; 52:351-372. [PMID: 36656493 PMCID: PMC9851596 DOI: 10.1007/s13744-023-01025-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 01/03/2023] [Indexed: 05/13/2023]
Abstract
Biological control and taxonomy are continuously developing fields with remarkable impacts on society. At least 80 years of literature have documented this relationship, which remains essentially the same in its mutualistic nature, as well as in its major challenges. From the perspective of Brazilian taxonomists, we discuss the impacts of important scientific and social developments that directly affect research in these areas, posing new challenges for this lasting relationship. The increasing restrictions and concerns regarding the international transit of organisms require improvements in research related to risk assessment for exotic biological control agents and also stimulate prospecting within the native biota. In our view, this is a positive situation that can foster a closer relationship between taxonomists and applied entomologists, as well as local surveys and taxonomic studies that are necessary before new programs and agents can be implemented. We discuss the essential role of molecular biology in this context, as an iconic example of the synergy between applied sciences and natural history. As our society comes to need safer and more sustainable solutions for food security and the biodiversity crisis, scientific progress will build upon this integration, where biological control and taxonomy play an essential role.
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Affiliation(s)
- Eduardo Mitio Shimbori
- Departamento de Entomologia e Acarologia, Escola Superior de Agricultura “Luiz de Queiroz” (ESALQ), Universidade de São Paulo (USP), São Paulo Piracicaba, Brazil
| | - Ranyse Barbosa Querino
- Empresa Brasileira de Pesquisa Agropecuária, Embrapa Cerrados, Planaltina, Distrito Federal Brazil
| | - Valmir Antonio Costa
- Centro Avançado de Pesquisa e Desenvolvimento em Sanidade Agropecuária, Instituto Biológico, São Paulo Campinas, Brazil
| | - Roberto Antonio Zucchi
- Departamento de Entomologia e Acarologia, Escola Superior de Agricultura “Luiz de Queiroz” (ESALQ), Universidade de São Paulo (USP), São Paulo Piracicaba, Brazil
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22
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Chen S, Yin X, Han J, Sun W, Yao H, Song J, Li X. DNA barcoding in herbal medicine: Retrospective and prospective. J Pharm Anal 2023; 13:431-441. [PMID: 37305789 PMCID: PMC10257146 DOI: 10.1016/j.jpha.2023.03.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 03/07/2023] [Accepted: 03/25/2023] [Indexed: 06/13/2023] Open
Abstract
DNA barcoding has been widely used for herb identification in recent decades, enabling safety and innovation in the field of herbal medicine. In this article, we summarize recent progress in DNA barcoding for herbal medicine to provide ideas for the further development and application of this technology. Most importantly, the standard DNA barcode has been extended in two ways. First, while conventional DNA barcodes have been widely promoted for their versatility in the identification of fresh or well-preserved samples, super-barcodes based on plastid genomes have rapidly developed and have shown advantages in species identification at low taxonomic levels. Second, mini-barcodes are attractive because they perform better in cases of degraded DNA from herbal materials. In addition, some molecular techniques, such as high-throughput sequencing and isothermal amplification, are combined with DNA barcodes for species identification, which has expanded the applications of herb identification based on DNA barcoding and brought about the post-DNA-barcoding era. Furthermore, standard and high-species coverage DNA barcode reference libraries have been constructed to provide reference sequences for species identification, which increases the accuracy and credibility of species discrimination based on DNA barcodes. In summary, DNA barcoding should play a key role in the quality control of traditional herbal medicine and in the international herb trade.
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Affiliation(s)
- Shilin Chen
- Institute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
- Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Xianmei Yin
- Institute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Jianping Han
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100193, China
| | - Wei Sun
- Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Hui Yao
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100193, China
| | - Jingyuan Song
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100193, China
| | - Xiwen Li
- Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
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23
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Perish PK, Shanovich HN, Koch AN, Lindsey ARI, Aukema BH. The Hazel Stem Borer, Agrilus pseudocoryli (Coleoptera: Buprestidae), as a Pest of Hybrid Hazelnuts. JOURNAL OF ECONOMIC ENTOMOLOGY 2023; 116:496-504. [PMID: 36852767 DOI: 10.1093/jee/toad023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Indexed: 05/30/2023]
Abstract
Nuts from hybrid hazels (Corylus americana Walter × Corylus avellana L.) are a burgeoning, novel industry for the Great Lakes region of the United States. As such, scant information exists about the pest complex, although stem-boring beetles in the genus Agrilus Curtis (Coleoptera: Buprestidae) have been noted by growers as potential pests. Here, we report results of a comprehensive survey of 186 plants in a hybrid hazel planting consisting of nine cultivars in southeastern Minnesota affected by stem borers. Sixteen percent of the hybrid hazel plants exhibited between 25 and 100% buprestid associated dieback. Morphological and molecular identification of the adult and larval buprestids colonizing hybrid hazel plants revealed that the hazel stem borer, Agrilus pseudocoryli Fisher, was the only species present. Adult A. pseudocoryli were observed on plants between 8 June and 13 July 2021. Plants with higher damage ratings from the hazel stem borer were more likely to exhibit signs of eastern filbert blight (Anisogramma anomala Peck), a fungal pathogen virulent to C. avellana. Some hazel cultivars were more susceptible to damage from stem borers than others. Taken together, our findings suggest that the hazel stem borer has the potential to impact hybrid hazelnut yield. We speculate that a regional drought may have promoted increased populations of the hazel stem borer, as native Agrilus species are often secondary pests that become problematic when environmental stresses decrease host resistance. More research is needed to elucidate interactions between hazels, buprestid pests, and environmental conditions to predict impacts on crop yields.
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Affiliation(s)
- Patrick K Perish
- University of Minnesota, Department of Entomology, 1980 Folwell Ave, 219 Hodson Hall, Saint Paul, MN 55108, USA
| | - Hailey N Shanovich
- University of Minnesota, Department of Forest Resources, 2005 Upper Buford Cir., 115 Green Hall, Saint Paul, MN 55108, USA
| | - Alexa N Koch
- University of Minnesota, Department of Entomology, 1980 Folwell Ave, 219 Hodson Hall, Saint Paul, MN 55108, USA
| | - Amelia R I Lindsey
- University of Minnesota, Department of Entomology, 1980 Folwell Ave, 219 Hodson Hall, Saint Paul, MN 55108, USA
| | - Brian H Aukema
- University of Minnesota, Department of Entomology, 1980 Folwell Ave, 219 Hodson Hall, Saint Paul, MN 55108, USA
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24
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Jeunen GJ, Dowle E, Edgecombe J, von Ammon U, Gemmell NJ, Cross H. crabs-A software program to generate curated reference databases for metabarcoding sequencing data. Mol Ecol Resour 2023; 23:725-738. [PMID: 36437603 DOI: 10.1111/1755-0998.13741] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 10/30/2022] [Accepted: 11/15/2022] [Indexed: 11/29/2022]
Abstract
The measurement of biodiversity is an integral aspect of life science research. With the establishment of second- and third-generation sequencing technologies, an increasing amount of metabarcoding data is being generated as we seek to describe the extent and patterns of biodiversity in multiple contexts. The reliability and accuracy of taxonomically assigning metabarcoding sequencing data have been shown to be critically influenced by the quality and completeness of reference databases. Custom, curated, eukaryotic reference databases, however, are scarce, as are the software programs for generating them. Here, we present crabs (Creating Reference databases for Amplicon-Based Sequencing), a software package to create custom reference databases for metabarcoding studies. crabs includes tools to download sequences from multiple online repositories (i.e., NCBI, BOLD, EMBL, MitoFish), retrieve amplicon regions through in silico PCR analysis and pairwise global alignments, curate the database through multiple filtering parameters (e.g., dereplication, sequence length, sequence quality, unresolved taxonomy, inclusion/exclusion filter), export the reference database in multiple formats for immediate use in taxonomy assignment software, and investigate the reference database through implemented visualizations for diversity, primer efficiency, reference sequence length, database completeness and taxonomic resolution. crabs is a versatile tool for generating curated reference databases of user-specified genetic markers to aid taxonomy assignment from metabarcoding sequencing data. crabs can be installed via docker and is available for download as a conda package and via GitHub (https://github.com/gjeunen/reference_database_creator).
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Affiliation(s)
- Gert-Jan Jeunen
- Department of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
| | - Eddy Dowle
- Department of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
| | - Jonika Edgecombe
- Department of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
| | - Ulla von Ammon
- Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand
| | - Neil J Gemmell
- Department of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
| | - Hugh Cross
- Department of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand.,National Ecological Observatory Network, Boulder, Colorado, USA
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25
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de Mestier A, Mulcahy D, Harris DJ, Korotkova N, Long S, Häffner E, Paton A, Schiller E, Leliaert F, Mackenzie-Dodds J, Fulcher T, Stahls G, von Rintelen T, Martín MP, Lücking R, Williams C, Lyal C, Güntsch A, Aronsson H, Castelin M, Pielach A, Poczai P, Ruiz-León Y, Sanmartin Bastida I, Thines M, Droege G. Policies Handbook on Using Molecular Collections. RESEARCH IDEAS AND OUTCOMES 2023. [DOI: 10.3897/rio.9.e102908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023] Open
Abstract
The access to molecular collections worldwide greatly improves the quality of scientific research by making a growing number of data available for investigation. The efforts on digitisation also aim at facilitating the exchange of material between institutions and researchers that must follow regulations in place and respect best practice. The handbook presented here proposes a workflow to follow to safely exchange materials, in accordance with international laws and legislation. We make numerous recommendations here to help the institutions and researchers to navigate the legal and administrative procedures, in order to manage molecular collections in the best way possible.
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26
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An Authentication Survey on Retail Seafood Products Sold on the Bulgarian Market Underlines the Need for Upgrading the Traceability System. Foods 2023; 12:foods12051070. [PMID: 36900583 PMCID: PMC10000581 DOI: 10.3390/foods12051070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 02/13/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023] Open
Abstract
Economically motivated or accidental species substitutions lead to economic and potential health damage to consumers with a loss of confidence in the fishery supply chain. In the present study, a three-year survey on 199 retail seafood products sold on the Bulgarian market was addressed to assess: (1) product authenticity by molecular identification; (2) trade name compliance to the list of official trade names accepted in the territory; (3) adherence of the list in force to the market supply. DNA barcoding on mitochondrial and nuclear genes was applied for the identification of whitefish (WF), crustaceans (C) and mollusks (cephalopods-MC; gastropods-MG; bivalves-MB) except for Mytilus sp. products for which the analysis was conducted with a previously validated RFLP PCR protocol. Identification at the species level was obtained for 94.5% of the products. Failures in species allocation were reconducted due to low resolution and reliability or the absence of reference sequences. The study highlighted an overall mislabeling rate of 11%. WF showed the highest mislabeling rate (14%), followed by MB (12.5%), MC (10%) and C (7.9%). This evidence emphasized the use of DNA-based methods as tools for seafood authentication. The presence of non-compliant trade names and the ineffectiveness of the list to describe the market species varieties attested to the need to improve seafood labeling and traceability at the national level.
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27
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Shalu K, Thomas L, Ramvilas G, Shabeena KS, Philip S, Sureshkumar S, Raghavan R, Ranjeet K. DNA barcodes for the pipefish genus Corythoichthys (Actinopterygii: Syngnathiformes) from the Indian Ocean provide insights into cryptic diversity. JOURNAL OF FISH BIOLOGY 2023; 102:680-688. [PMID: 36602224 DOI: 10.1111/jfb.15300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 01/02/2023] [Indexed: 06/17/2023]
Abstract
The syngnathiform genus Corythoichthys comprises a group of taxonomically complex, tail-brooding (Syngnathinae) pipefishes widely distributed in the Indo-Pacific region. Due to the presence of overlapping interspecific morphological characters, reliable taxonomic information on Corythoichthys is still lacking. Using 52 CO1 sequences, including seven newly generated, a phylogenetic analysis was carried out to understand the genetic diversity, distribution and 'species groups' within the genus Corythoichthys. Species delimitation using Automatic Barcode Gap Discovery (ABGD) analysis confirmed the presence of 13 species which include 'species-complexes' previously considered as a single taxon. Our results revealed the presence of three species groups, 'C. amplexus', 'C. conspicillatus' and 'C. haematopterus' and four unidentified/undescribed species in the wider Indo-Pacific realm. Interestingly, 60 sequences and a mitogenome identified as Corythoichthys in GenBank are misidentified at the genus level. Based on our findings, we suggest that the taxonomy and systematics of Corythoichthys need to be re-examined and validated using integrative methods, and care should be taken while selecting specimens for genetic studies.
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Affiliation(s)
- Kannan Shalu
- Faculty of Ocean Science and Technology, Kerala University of Fisheries and Ocean Studies, Kochi, India
| | - Liju Thomas
- Faculty of Ocean Science and Technology, Kerala University of Fisheries and Ocean Studies, Kochi, India
| | - Ghosh Ramvilas
- Faculty of Ocean Science and Technology, Kerala University of Fisheries and Ocean Studies, Kochi, India
| | | | - Siby Philip
- Department of Zoology, Nirmalagiri College, Kannur, India
| | - Sivanpillai Sureshkumar
- Faculty of Ocean Science and Technology, Kerala University of Fisheries and Ocean Studies, Kochi, India
| | - Rajeev Raghavan
- Department of Fisheries Resource Management, Kerala University of Fisheries and Ocean Studies, Kochi, India
| | - Kutty Ranjeet
- Department of Aquatic Environment Management, Kerala University of Fisheries and Ocean Studies, Kochi, India
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28
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Goymer A, Steele K, Jenkins F, Burgess G, Andrews L, Baumgartner N, Gubili C, Griffiths AM. For R-eel?! Investigating international sales of critically endangered species in freshwater eel products with DNA barcoding. Food Control 2023. [DOI: 10.1016/j.foodcont.2023.109752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
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29
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Bourret A, Nozères C, Parent E, Parent GJ. Maximizing the reliability and the number of species assignments in metabarcoding studies using a curated regional library and a public repository. METABARCODING AND METAGENOMICS 2023. [DOI: 10.3897/mbmg.7.98539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023] Open
Abstract
Biodiversity assessments relying on DNA have increased rapidly over the last decade. However, the reliability of taxonomic assignments in metabarcoding studies is variable and affected by the reference databases and the assignment methods used. Species level assignments are usually considered as reliable using regional libraries but unreliable using public repositories. In this study, we aimed to test this assumption for metazoan species detected in the Gulf of St. Lawrence in the Northwest Atlantic. We first created a regional library (GSL-rl) by data mining COI barcode sequences from BOLD, and included a reliability ranking system for species assignments. We then estimated 1) the accuracy and precision of the public repository NCBI-nt for species assignments using sequences from the regional library and 2) compared the detection and reliability of species assignments of a metabarcoding dataset using either NCBI-nt or the regional library and popular assignment methods. With NCBI-nt and sequences from the regional library, the BLAST-LCA (least common ancestor) method was the most precise method for species assignments, but the accuracy was higher with the BLAST-TopHit method (>80% over all taxa, between 70% and 90% amongst taxonomic groups). With the metabarcoding dataset, the reliability of species assignments was greater using GSL-rl compared to NCBI-nt. However, we also observed that the total number of reliable species assignments could be maximized using both GSL-rl and NCBI-nt with different optimized assignment methods. The use of a two-step approach for species assignments, i.e., using a regional library and a public repository, could improve the reliability and the number of detected species in metabarcoding studies.
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Molecular Species Delimitation Using COI Barcodes of Mealybugs (Hemiptera: Pseudococcidae) from Coffee Plants in Espírito Santo, Brazil. DIVERSITY 2023. [DOI: 10.3390/d15020305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Mealybugs are insects belonging to the family Pseudococcidae. This family includes many plant-pest species with similar morphologies, which may lead to errors in mealybug identification and delimitation. In the present study, we employed molecular-species-delimitation approaches based on distance (ASAP) and coalescence (GMYC and mPTP) methods to identify mealybugs collected from coffee and other plant hosts in the states of Espírito Santo, Bahia, Minas Gerais, and Pernambuco, Brazil. We obtained 171 new COI sequences, and 565 from the BOLD Systems database, representing 26 candidate species of Pseudococcidae. The MOTUs estimated were not congruent across different methods (ASAP-25; GMYC-30; mPTP-22). Misidentifications were revealed in the sequences from the BOLD Systems database involving Phenacoccus solani × Ph. solenopsis, Ph. tucumanus × Ph. baccharidis, and Planacoccus citri × Pl. minor species. Ten mealybug species were collected from coffee plants in Espírito Santo. Due to the incorrect labeling of the species sequences, the COI barcode library of the dataset from the database needs to be carefully analyzed to avoid the misidentification of species. The systematics and taxonomy of mealybugs may be improved by integrative taxonomy which may facilitate the integrated pest management of these pests.
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Han W, Tang H, Wei L, Zhang E. The first DNA barcode library of Chironomidae from the Tibetan Plateau with an evaluation of the status of the public databases. Ecol Evol 2023; 13:e9849. [PMID: 36861023 PMCID: PMC9969238 DOI: 10.1002/ece3.9849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 01/26/2023] [Accepted: 02/02/2023] [Indexed: 03/03/2023] Open
Abstract
The main aim of this study was to curate a COI barcode library of Chironomidae from the Tibetan Plateau (TP) as an essential supplement to the public database. Another aim is to evaluate the current status of the public database of Chironomidae in aspects of taxonomic coverage, geographic representation, barcode quality, and efficiency for molecular identification, the Tibetan Plateau, China. In this study, 512 individuals of Chironomidae from the TP were identified based on morphological taxonomy and barcode analysis. The metadata of public records of Chironomidae were downloaded from the BOLD, and the quality of the public barcodes was ranked using the BAGS program. The reliability of the public library for molecular identification was evaluated with the newly curated library using the BLAST method. The newly curated library comprised 159 barcode species of 54 genera, of which 58.4% of species were likely new to science. There were great gaps in the taxonomic coverage and geographic representation in the public database, and only 29.18% of barcodes were identified at the species level. The quality of the public database was of concern, with only 20% of species being determined as concordant between BINs and morphological species. The accuracy of molecular identification using the public database was poor, and about 50% of matched barcodes could be correctly identified at the species level at the identity threshold of 97%. Based on these data, some recommendations are included here for improving barcoding studies on Chironomidae. The species richness of Chironomidae from the TP is much higher than ever recorded. Barcodes from more taxonomic groups and geographic regions are urgently needed to fill the great gap in the current public database of Chironomidae. Users should take caution when public databases are adopted as reference libraries for the taxonomic assignment.
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Affiliation(s)
- Wu Han
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and LimnologyChinese Academy of ScienceNanjingChina
- University of Chinese Academy of SciencesBeijing100039China
| | - Hongqu Tang
- Life Science and Technology CollegeJinan UniversityGuangzhouChina
| | - Lili Wei
- Life Science and Technology CollegeJinan UniversityGuangzhouChina
| | - Enlou Zhang
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and LimnologyChinese Academy of ScienceNanjingChina
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Phillips JD, Athey TB, McNicholas PD, Hanner RH. VLF: An R package for the analysis of very low frequency variants in DNA sequences. Biodivers Data J 2023; 11:e96480. [PMID: 38327328 PMCID: PMC10848336 DOI: 10.3897/bdj.11.e96480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 11/30/2022] [Indexed: 01/27/2023] Open
Abstract
Here, we introduce VLF, an R package to determine the distribution of very low frequency variants (VLFs) in nucleotide and amino acid sequences for the analysis of errors in DNA sequence records. The package allows users to assess VLFs in aligned and trimmed protein-coding sequences by automatically calculating the frequency of nucleotides or amino acids in each sequence position and outputting those that occur under a user-specified frequency (default of p = 0.001). These results can then be used to explore fundamental population genetic and phylogeographic patterns, mechanisms and processes at the microevolutionary level, such as nucleotide and amino acid sequence conservation. Our package extends earlier work pertaining to an implementation of VLF analysis in Microsoft Excel, which was found to be both computationally slow and error prone. We compare those results to our own herein. Results between the two implementations are found to be highly consistent for a large DNA barcode dataset of bird species. Differences in results are readily explained by both manual human error and inadequate Linnean taxonomy (specifically, species synonymy). Here, VLF is also applied to a subset of avian barcodes to assess the extent of biological artifacts at the species level for Canada goose (Branta canadensis), as well as within a large dataset of DNA barcodes for fishes of forensic and regulatory importance. The novelty of VLF and its benefit over the previous implementation include its high level of automation, speed, scalability and ease-of-use, each desirable characteristics which will be extremely valuable as more sequence data are rapidly accumulated in popular reference databases, such as BOLD and GenBank.
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Affiliation(s)
- Jarrett D. Phillips
- School of Computer Science and Department of Integrative Biology, University of Guelph, Guelph, CanadaSchool of Computer Science and Department of Integrative Biology, University of GuelphGuelphCanada
| | - Taryn B.T. Athey
- Stollery Children's Hospital, Edmonton, CanadaStollery Children's HospitalEdmontonCanada
| | - Paul D. McNicholas
- Department of Mathematics and Statistics, McMaster University, Hamilton, CanadaDepartment of Mathematics and Statistics, McMaster UniversityHamiltonCanada
| | - Robert H. Hanner
- Biodiversity Institute of Ontario and Department of Integrative Biology, University of Guelph, Guelph, CanadaBiodiversity Institute of Ontario and Department of Integrative Biology, University of GuelphGuelphCanada
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Mugnai F, Costantini F, Chenuil A, Leduc M, Gutiérrez Ortega JM, Meglécz E. Be positive: customized reference databases and new, local barcodes balance false taxonomic assignments in metabarcoding studies. PeerJ 2023; 11:e14616. [PMID: 36643652 PMCID: PMC9835706 DOI: 10.7717/peerj.14616] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 12/01/2022] [Indexed: 01/11/2023] Open
Abstract
Background In metabarcoding analyses, the taxonomic assignment is crucial to place sequencing data in biological and ecological contexts. This fundamental step depends on a reference database, which should have a good taxonomic coverage to avoid unassigned sequences. However, this goal is rarely achieved in many geographic regions and for several taxonomic groups. On the other hand, more is not necessarily better, as sequences in reference databases belonging to taxonomic groups out of the studied region/environment context might lead to false assignments. Methods We investigated the effect of using several subsets of a cytochrome c oxidase subunit I (COI) reference database on taxonomic assignment. Published metabarcoding sequences from the Mediterranean Sea were assigned to taxa using COInr, which is a comprehensive, non-redundant and recent database of COI sequences obtained both from BOLD and NCBI, and two of its subsets: (i) all sequences except insects (COInr-WO-Insecta), which represent the overwhelming majority of COInr database, but are irrelevant for marine samples, and (ii) all sequences from taxonomic families present in the Mediterranean Sea (COInr-Med). Four different algorithms for taxonomic assignment were employed in parallel to evaluate differences in their output and data consistency. Results The reduction of the database to more specific custom subsets increased the number of unassigned sequences. Nevertheless, since most of them were incorrectly assigned by the less specific databases, this is a positive outcome. Moreover, the taxonomic resolution (the lowest taxonomic level to which a sequence is attributed) of several sequences tended to increase when using customized databases. These findings clearly indicated the need for customized databases adapted to each study. However, the very high proportion of unassigned sequences points to the need to enrich the local database with new barcodes specifically obtained from the studied region and/or taxonomic group. Including novel local barcodes to the COI database proved to be very profitable: by adding only 116 new barcodes sequenced in our laboratory, thus increasing the reference database by only 0.04%, we were able to improve the resolution for ca. 0.6-1% of the Amplicon Sequence Variants (ASVs).
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Affiliation(s)
- Francesco Mugnai
- Department of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Ravenna, Italy
| | - Federica Costantini
- Department of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Ravenna, Italy
- Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa), Roma, Italy
| | - Anne Chenuil
- Aix Marseille Univ, Avignon Université, CNRS, IRD, IMBE, Marseille, France
| | | | | | - Emese Meglécz
- Aix Marseille Univ, Avignon Université, CNRS, IRD, IMBE, Marseille, France
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Baena-Bejarano N, Reina C, Martínez-Revelo DE, Medina CA, Tovar E, Uribe-Soto S, Neita-Moreno JC, Gonzalez MA. Taxonomic identification accuracy from BOLD and GenBank databases using over a thousand insect DNA barcodes from Colombia. PLoS One 2023; 18:e0277379. [PMID: 37093820 PMCID: PMC10124890 DOI: 10.1371/journal.pone.0277379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 02/10/2023] [Indexed: 04/25/2023] Open
Abstract
Recent declines of insect populations at high rates have resulted in the need to develop a quick method to determine their diversity and to process massive data for the identification of species of highly diverse groups. A short sequence of DNA from COI is widely used for insect identification by comparing it against sequences of known species. Repositories of sequences are available online with tools that facilitate matching of the sequences of interest to a known individual. However, the performance of these tools can differ. Here we aim to assess the accuracy in identification of insect taxonomic categories from two repositories, BOLD Systems and GenBank. This was done by comparing the sequence matches between the taxonomist identification and the suggested identification from the platforms. We used 1,160 COI sequences representing eight orders of insects from Colombia. After the comparison, we reanalyzed the results from a representative subset of the data from the subfamily Scarabaeinae (Coleoptera). Overall, BOLD systems outperformed GenBank, and the performance of both engines differed by orders and other taxonomic categories (species, genus and family). Higher rates of accurate identification were obtained at family and genus levels. The accuracy was higher in BOLD for the order Coleoptera at family level, for Coleoptera and Lepidoptera at genus and species level. Other orders performed similarly in both repositories. Moreover, the Scarabaeinae subset showed that species were correctly identified only when BOLD match percentage was above 93.4% and a total of 85% of the samples were correctly assigned to a taxonomic category. These results accentuate the great potential of the identification engines to place insects accurately into their respective taxonomic categories based on DNA barcodes and highlight the reliability of BOLD Systems for insect identification in the absence of a large reference database for a highly diverse country.
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Affiliation(s)
| | - Catalina Reina
- ICA-Instituto Colombiano Agropecuario, Soledad, Atlántico, Colombia
| | - Diego Esteban Martínez-Revelo
- Asociación GAICA, Pasto, Nariño, Colombia
- Grupo de Investigación en Sistemática Molecular, Universidad Nacional de Colombia, Sede Medellín, Medellín, Antioquia, Colombia
| | - Claudia A Medina
- Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, Bogotá, Colombia
| | - Eduardo Tovar
- Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, Bogotá, Colombia
| | - Sandra Uribe-Soto
- Grupo de Investigación en Sistemática Molecular, Universidad Nacional de Colombia, Sede Medellín, Medellín, Antioquia, Colombia
| | | | - Mailyn A Gonzalez
- Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, Bogotá, Colombia
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Botha D, du Plessis M, Siebert F, Barnard S. Introducing an rbcL and a trnL reference library to aid in the metabarcoding analysis of foraged plants from two semi-arid eastern South African savanna bioregions. PLoS One 2023; 18:e0286144. [PMID: 37205700 DOI: 10.1371/journal.pone.0286144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 05/10/2023] [Indexed: 05/21/2023] Open
Abstract
Success of a metabarcoding study is determined by the extent of taxonomic coverage and the quality of records available in the DNA barcode reference database used. This study aimed to create an rbcL and a trnL (UAA) DNA barcode sequence reference database of plant species that are potential herbivore foraging targets and commonly found in semi-arid savannas of eastern South Africa. An area-specific species list of 765 species was compiled according to plant collection records available and areas comparable to an eastern semi-arid South African savanna. Thereafter, rbcL and trnL sequences of species from this list were mined from GenBank and BOLD sequence databases according to specific quality criteria to ensure accurate taxonomic coverage and resolution. These were supplemented with sequences of 24 species sequenced for this study. A phylogenetic approach, employing Neighbor-Joining, was used to verify the topology of the reference libraries to known angiosperm phylogeny. The taxonomic reliability of these reference libraries was evaluated by testing for the presence of a barcode gap, identifying a data-appropriate identification threshold, and determining the identification accuracy of reference sequences via primary distance-based criteria. The final rbcL reference dataset consisted of 1238 sequences representing 318 genera and 562 species. The final trnL dataset consisted of 921 sequences representing 270 genera and 461 species. Barcode gaps were found for 76% of the taxa in the rbcL barcode reference dataset and 68% of the taxa in the trnL barcode reference dataset. The identification success rate, calculated with the k-nn criterion was 85.86% for the rbcL dataset and 73.72% for the trnL dataset. The datasets for rbcL and trnL combined during this study are not presented as complete DNA reference libraries, but rather as two datasets that should be used in unison to identify plants present in the semi-arid eastern savannas of South Africa.
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Affiliation(s)
- Danielle Botha
- Unit for Environmental Sciences and Management, North-West University, Potchefstroom, South Africa
| | - Mornè du Plessis
- Core Sequencing Facility, National Institute for Communicable Diseases of the National Health Laboratory Service, Sandringham, Johannesburg, South Africa
| | - Frances Siebert
- Unit for Environmental Sciences and Management, North-West University, Potchefstroom, South Africa
| | - Sandra Barnard
- Unit for Environmental Sciences and Management, North-West University, Potchefstroom, South Africa
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Fasullo M, Dolan M. The continuing evolution of barcode applications: Functional toxicology to cell lineage. Exp Biol Med (Maywood) 2022; 247:2119-2127. [PMID: 36113119 PMCID: PMC9837303 DOI: 10.1177/15353702221121600] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
DNA barcoding is a method to identify biological entities, including individual cells, tissues, organs, or species, by unique DNA sequences. With the advent of next generation sequencing (NGS), there has been an exponential increase in data acquisition pertaining to medical diagnosis, genetics, toxicology, ecology, cancer, and developmental biology. While barcoding first gained wide access in identifying species, signature tagged mutagenesis has been useful in elucidating gene function, particularly in microbes. With the advent of CRISPR/CAS9, methodology to profile eukaryotic genes has made a broad impact in toxicology and cancer biology. Designed homing guide RNAs (hgRNAs) that self-target DNA sequences facilitate cell lineage barcoding by introducing stochastic mutations within cell identifiers. While each of these applications has their limitations, the potential of sequence barcoding has yet to be realized. This review will focus on signature-tagged mutagenesis and briefly discuss the history of barcoding, experimental problems, novel detection methods, and future directions.
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Affiliation(s)
- Michael Fasullo
- College of Nanoscale Science and Engineering, SUNY Polytechnic Institute, Albany, NY 12203, USA
| | - Michael Dolan
- College of Nanoscale Science and Engineering, SUNY Polytechnic Institute, Albany, NY 12203, USA
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The Quality of Sequence Data Affects Biodiversity and Conservation Perspectives in the Neotropical Damselfly Megaloprepus caerulatus. DIVERSITY 2022. [DOI: 10.3390/d14121056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Ideally, the footprint of the evolutionary history of a species is drawn from integrative studies including quantitative and qualitative taxonomy, biogeography, ecology, and molecular genetics. In today’s research, species delimitations and identification of conservation units is often accompanied by a set of—at minimum—two sequence markers appropriate for the systematic level under investigation. Two such studies re-evaluated the species status in the world’s largest Odonata, the Neotropical damselfly Megaloprepus caerulatus. The species status of the genus Megaloprepus has long been debated. Despite applying a highly similar set of sequence markers, the two studies reached different conclusions concerning species status and population genetic relationships. In this study, we took the unique opportunity to compare the two datasets and analyzed the reasons for those incongruences. The two DNA sequence markers used (16S rDNA and CO1) were re-aligned using a strict conservative approach and the analyses used in both studies were repeated. Going step by step back to the first line of data handling, we show that a high number of unresolved characters in the sequence alignments as well as internal gaps are responsible for the different outcomes in terms of species delimitations and population genetic relationships. Overall, this study shows that high quality raw sequence data are an indispensable requirement, not only in odonate research.
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Kestel JH, Field DL, Bateman PW, White NE, Allentoft ME, Hopkins AJM, Gibberd M, Nevill P. Applications of environmental DNA (eDNA) in agricultural systems: Current uses, limitations and future prospects. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 847:157556. [PMID: 35882340 DOI: 10.1016/j.scitotenv.2022.157556] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/29/2022] [Accepted: 07/18/2022] [Indexed: 06/15/2023]
Abstract
Global food production, food supply chains and food security are increasingly stressed by human population growth and loss of arable land, becoming more vulnerable to anthropogenic and environmental perturbations. Numerous mutualistic and antagonistic species are interconnected with the cultivation of crops and livestock and these can be challenging to identify on the large scales of food production systems. Accurate identifications to capture this diversity and rapid scalable monitoring are necessary to identify emerging threats (i.e. pests and pathogens), inform on ecosystem health (i.e. soil and pollinator diversity), and provide evidence for new management practices (i.e. fertiliser and pesticide applications). Increasingly, environmental DNA (eDNA) is providing rapid and accurate classifications for specific organisms and entire species assemblages in substrates ranging from soil to air. Here, we aim to discuss how eDNA is being used for monitoring of agricultural ecosystems, what current limitations exist, and how these could be managed to expand applications into the future. In a systematic review we identify that eDNA-based monitoring in food production systems accounts for only 4 % of all eDNA studies. We found that the majority of these eDNA studies target soil and plant substrates (60 %), predominantly to identify microbes and insects (60 %) and are biased towards Europe (42 %). While eDNA-based monitoring studies are uncommon in many of the world's food production systems, the trend is most pronounced in emerging economies often where food security is most at risk. We suggest that the biggest limitations to eDNA for agriculture are false negatives resulting from DNA degradation and assay biases, as well as incomplete databases and the interpretation of abundance data. These require in silico, in vitro, and in vivo approaches to carefully design, test and apply eDNA monitoring for reliable and accurate taxonomic identifications. We explore future opportunities for eDNA research which could further develop this useful tool for food production system monitoring in both emerging and developed economies, hopefully improving monitoring, and ultimately food security.
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Affiliation(s)
- Joshua H Kestel
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia; Molecular Ecology and Evolution Group (MEEG), School of Science, Edith Cowan University, Joondalup 6027, Australia.
| | - David L Field
- Molecular Ecology and Evolution Group (MEEG), School of Science, Edith Cowan University, Joondalup 6027, Australia
| | - Philip W Bateman
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia; Behavioural Ecology Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
| | - Nicole E White
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
| | - Morten E Allentoft
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia; Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Øster Voldgade 5-7, Copenhagen, Denmark
| | - Anna J M Hopkins
- Molecular Ecology and Evolution Group (MEEG), School of Science, Edith Cowan University, Joondalup 6027, Australia
| | - Mark Gibberd
- Centre for Crop Disease Management (CCDM), School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
| | - Paul Nevill
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
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Šlapeta J, Halliday B, Chandra S, Alanazi AD, Abdel-Shafy S. Rhipicephalus linnaei (Audouin, 1826) recognised as the "tropical lineage" of the brown dog tick Rhipicephalus sanguineus sensu lato: Neotype designation, redescription, and establishment of morphological and molecular reference. Ticks Tick Borne Dis 2022; 13:102024. [PMID: 36063755 DOI: 10.1016/j.ttbdis.2022.102024] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 07/15/2022] [Accepted: 07/29/2022] [Indexed: 11/24/2022]
Abstract
We re-describe the adult stages of Rhipicephalus linnaei (Audouin, 1826), and characterise its diagnostic molecular traits. A male R. linnaei collected in Esna City, Luxor Governorate, Egypt is designated as the neotype. Rhipicephalus linnaei is re-established as a valid tick name and removed from the synonymy list of Rhipicephalus sanguineus (Latreille, 1806). Rhipicephalus linnaei is most similar to R. sanguineus and Rhipicephalus camicasi Morel, Mouchet & Rodhain, 1976 because they share similar elongated comma-like spiracula that are narrowly visible dorsally, and the dorsal prolongation is narrower than the width of the adjacent festoon. The male of R. camicasi is distinguished from R. linnaei by the non-tapering caudal widening of the spiracula. The male of R. sanguineus is distinguished from R. linnaei by shorter extension that does not taper into a long narrow extension of the spiracula. The genital pore atrium of female R. linnaei is broadly U-shaped, while it is a narrower U-shape in R. sanguineus. The remaining species within the R. sanguineus species complex - Rhipicephalus sulcatus Neumann, 1908, Rhipicephalus turanicus Pomerantsev, 1940, Rhipicephalus guilhoni Morel & Vassilades, 1963, Rhipicephalus secundus Feldman-Muhsam, 1952 and Rhipicephalus afranicus Bakkes, 2020, all exhibit spiracula with the dorsal prolongation as wide as the adjacent festoon. The DNA sequence of R. linnaei is most closely related to R. guilhoni. The phylogenetic analysis of mitogenome (mtDNA) sequences including assembled mtDNA from whole genome sequencing of the neotype supports R. linnaei as a well-defined taxon when compared with DNA sequences of other species of the R. sanguineus species complex, in particular: R. sanguineus, R. turanicus, R. secundus and R. camicasi. Molecularly, R. linnaei belongs to the so-called R. sanguineus s.l. "tropical lineage" distributed globally including the Americas, Africa, Europe, Asia and is the only species from R. sanguineus species complex in Australia.
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Affiliation(s)
- Jan Šlapeta
- Sydney School of Veterinary Science, Faculty of Science, University of Sydney, Sydney, New South Wales 2006, Australia.
| | - Bruce Halliday
- Australian National Insect Collection, CSIRO, GPO Box 1700, Canberra, Australian Capital Territory 2601, Australia
| | - Shona Chandra
- Sydney School of Veterinary Science, Faculty of Science, University of Sydney, Sydney, New South Wales 2006, Australia
| | - Abdullah D Alanazi
- Department of Biological Sciences, Faculty of Science and Humanities, Shaqra University, Ad-Dawadimi, Saudi Arabia
| | - Sobhy Abdel-Shafy
- Department of Parasitology and Animal Diseases, Veterinary Research Institute, National Research Centre, Dokki, Giza, Egypt
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Nyman T, Wutke S, Koivisto E, Klemola T, Shaw M, Andersson T, Haraldseide H, Hagen SB, Nakadai R, Ruohomäki K. A curated DNA barcode reference library for parasitoids of northern European cyclically outbreaking geometrid moths. Ecol Evol 2022; 12:e9525. [PMID: 36415871 PMCID: PMC9674473 DOI: 10.1002/ece3.9525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 10/16/2022] [Accepted: 10/28/2022] [Indexed: 11/21/2022] Open
Abstract
Large areas of forests are annually damaged or destroyed by outbreaking insect pests. Understanding the factors that trigger and terminate such population eruptions has become crucially important, as plants, plant-feeding insects, and their natural enemies may respond differentially to the ongoing changes in the global climate. In northernmost Europe, climate-driven range expansions of the geometrid moths Epirrita autumnata and Operophtera brumata have resulted in overlapping and increasingly severe outbreaks. Delayed density-dependent responses of parasitoids are a plausible explanation for the 10-year population cycles of these moth species, but the impact of parasitoids on geometrid outbreak dynamics is unclear due to a lack of knowledge on the host ranges and prevalences of parasitoids attacking the moths in nature. To overcome these problems, we reviewed the literature on parasitism in the focal geometrid species in their outbreak range and then constructed a DNA barcode reference library for all relevant parasitoid species based on reared specimens and sequences obtained from public databases. The combined recorded parasitoid community of E. autumnata and O. brumata consists of 32 hymenopteran species, all of which can be reliably identified based on their barcode sequences. The curated barcode library presented here opens up new opportunities for estimating the abundance and community composition of parasitoids across populations and ecosystems based on mass barcoding and metabarcoding approaches. Such information can be used for elucidating the role of parasitoids in moth population control, possibly also for devising methods for reducing the extent, intensity, and duration of outbreaks.
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Affiliation(s)
- Tommi Nyman
- Department of Ecosystems in the Barents Region, Svanhovd Research StationNorwegian Institute of Bioeconomy ResearchSvanvikNorway
| | - Saskia Wutke
- Department of Environmental and Biological SciencesUniversity of Eastern FinlandJoensuuFinland
| | - Elina Koivisto
- Department of Environmental and Biological SciencesUniversity of Eastern FinlandJoensuuFinland
| | - Tero Klemola
- Department of BiologyUniversity of TurkuTurkuFinland
| | | | - Tommi Andersson
- Kevo Subarctic Research Institute, Biodiversity UnitUniversity of TurkuTurkuFinland
| | | | - Snorre B. Hagen
- Department of Ecosystems in the Barents Region, Svanhovd Research StationNorwegian Institute of Bioeconomy ResearchSvanvikNorway
| | - Ryosuke Nakadai
- Biodiversity DivisionNational Institute for Environmental StudiesTsukubaJapan
| | - Kai Ruohomäki
- Department of BiologyUniversity of TurkuTurkuFinland
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Nakazato T, Jinbo U. Cross-sectional use of barcode of life data system and GenBank as DNA barcoding databases for the advancement of museomics. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.966605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Museomics is an approach to the DNA sequencing of museum specimens that can generate both biodiversity and sequence information. In this study, we surveyed both the biodiversity information-based database BOLD (Barcode of Life System) and the sequence information database GenBank, by using DNA barcoding data as an example, with the aim of integrating the data from these two databases. DNA barcoding is a method of identifying species from DNA sequences by using short genetic markers. We surveyed how many entries had biodiversity information (such as links to BOLD and specimen IDs) by downloading all fish, insect, and flowering plant data available from the GenBank Nucleotide, and BOLD ID was assigned to 26.2% of entries for insects. In the same way, we downloaded the respective BOLD data and checked the status of links to sequence information. We also investigated how many species do these databases cover, and 7,693 species were found to exist only in BOLD. In the future, as museomics develops as a field, the targeted sequences will be extended not only to DNA barcodes, but also to mitochondrial genomes, other genes, and genome sequences. Consequently, the value of the sequence data will increase. In addition, various species will be sequenced and, thus, biodiversity information such as the evidence specimen photographs used as a basis for species identification, will become even more indispensable. This study contributes to the acceleration of museomics-associated research by using databases in a cross-sectional manner.
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Reason A, Bulgarella M, Lester PJ. Identity, Prevalence, and Pathogenicity of Entomopathogenic Fungi Infecting Invasive Polistes (Vespidae: Polistinae) Paper Wasps in New Zealand. INSECTS 2022; 13:922. [PMID: 36292870 PMCID: PMC9604194 DOI: 10.3390/insects13100922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/07/2022] [Accepted: 10/09/2022] [Indexed: 06/16/2023]
Abstract
Two species of entomogenous fungi were discovered infecting the invasive paper wasp Polistes chinensis during an ecological study on Farewell Spit, New Zealand. We sequenced two nuclear ribosomal RDNA genes, the internal transcribed spacer (ITS) and the small ribosomal subunit 18S, and one protein-coding gene, the translation elongation factor 1-alpha (ef1 α). Combining sequence information with morphological examination, we identified these species as Beauveria malawiensis and Ophiocordyceps humbertii. We estimated that these fungi produce infection in approximately 3.3% of colonies in our study population. In bioassays, we successfully infected P. chinensis individuals from healthy colonies with B. malawiensis, with significant effects on adult mortality. This is the first record of both B. malawiensis and O. humbertii from Polistine hosts in New Zealand, and the first investigation into disease causality by these pathogens in P. chinensis. Our findings may contribute to the future development of biological control agents for paper wasps in New Zealand and elsewhere around the world.
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Brun L, Schneider J, Carrió EM, Dongre P, Taberlet P, van de Waal, Fumagalli L. Focal vs. fecal: Seasonal variation in the diet of wild vervet monkeys from observational and DNA metabarcoding data. Ecol Evol 2022; 12:e9358. [PMID: 36203642 PMCID: PMC9526031 DOI: 10.1002/ece3.9358] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 08/12/2022] [Accepted: 09/05/2022] [Indexed: 11/08/2022] Open
Abstract
Assessing the diet of wild animals reveals valuable information about their ecology and trophic relationships that may help elucidate dynamic interactions in ecosystems and forecast responses to environmental changes. Advances in molecular biology provide valuable research tools in this field. However, comparative empirical research is still required to highlight strengths and potential biases of different approaches. Therefore, this study compares environmental DNA and observational methods for the same study population and sampling duration. We employed DNA metabarcoding assays targeting plant and arthropod diet items in 823 fecal samples collected over 12 months in a wild population of an omnivorous primate, the vervet monkey (Chlorocebus pygerythrus). DNA metabarcoding data were subsequently compared to direct observations. We observed the same seasonal patterns of plant consumption with both methods; however, DNA metabarcoding showed considerably greater taxonomic coverage and resolution compared to observations, mostly due to the construction of a local plant DNA database. We found a strong effect of season on variation in plant consumption largely shaped by the dry and wet seasons. The seasonal effect on arthropod consumption was weaker, but feeding on arthropods was more frequent in spring and summer, showing overall that vervets adapt their diet according to available resources. The DNA metabarcoding assay outperformed also direct observations of arthropod consumption in both taxonomic coverage and resolution. Combining traditional techniques and DNA metabarcoding data can therefore not only provide enhanced assessments of complex diets and trophic interactions to the benefit of wildlife conservationists and managers but also opens new perspectives for behavioral ecologists studying whether diet variation in social species is induced by environmental differences or might reflect selective foraging behaviors.
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Affiliation(s)
- Loïc Brun
- Laboratory for Conservation Biology, Department of Ecology and Evolution, BiophoreUniversity of LausanneLausanneSwitzerland
| | - Judith Schneider
- Laboratory for Conservation Biology, Department of Ecology and Evolution, BiophoreUniversity of LausanneLausanneSwitzerland
| | - Eduard Mas Carrió
- Laboratory for Conservation Biology, Department of Ecology and Evolution, BiophoreUniversity of LausanneLausanneSwitzerland
| | - Pooja Dongre
- Department of Ecology and Evolution, BiophoreUniversity of LausanneLausanneSwitzerland
- Inkawu Vervet ProjectMawana Game Reserve, Swart MfoloziKwaZulu NatalSouth Africa
| | - Pierre Taberlet
- Laboratoire d'Ecologie AlpineUniversité Grenoble Alpes, CNRSGrenobleFrance
- UiT – The Arctic University of Norway, Tromsø MuseumTromsøNorway
| | - van de Waal
- Department of Ecology and Evolution, BiophoreUniversity of LausanneLausanneSwitzerland
- Inkawu Vervet ProjectMawana Game Reserve, Swart MfoloziKwaZulu NatalSouth Africa
| | - Luca Fumagalli
- Laboratory for Conservation Biology, Department of Ecology and Evolution, BiophoreUniversity of LausanneLausanneSwitzerland
- Swiss Human Institute of Forensic Taphonomy, University Centre of Legal Medicine Lausanne‐Geneva, Lausanne University Hospital and University of LausanneLausanneSwitzerland
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Mondino A, Crovadore J, Lefort F, Ursenbacher S. Impact of invading species on biodiversity: Diet study of the green whip snake’s (Hierophis viridiflavus, L. 1789) in Switzerland. Glob Ecol Conserv 2022. [DOI: 10.1016/j.gecco.2022.e02239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Kang HJ, Baek MJ, Kang JH, Bae YJ. DNA Barcoding of Chironomid Larvae (Diptera: Chironomidae) from Large Rivers in South Korea to Facilitate Freshwater Biomonitoring and Public Health Surveillance. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12035. [PMID: 36231335 PMCID: PMC9566745 DOI: 10.3390/ijerph191912035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 06/16/2023]
Abstract
Chironomid larvae are among the dominant benthic macroinvertebrates in all types of water systems in South Korea. They may pass through pipes in rivers (raw water) and occur in drinking water, thus creating public health issues. However, little is known about the larval stages of chironomids in large South Korean rivers. Therefore, we examined larval-adult associations in chironomids inhabiting major rivers used as water sources. The larvae were collected in 2015 and 2016 from nine locations along the four largest rivers in South Korea using a Ponar grab. Cytochrome oxidase subunit I (COI) sequences were generated from the larval specimens, and the species were identified by comparing these sequences to those in a newly constructed DNA barcode library of Chironomidae in South Korea. The samples from the four rivers yielded 61 mitochondrial COI sequences belonging to 18 species, including Hydrobaenus kondoi Saether, 1989, which was reported for the first time in the Korean Peninsula. Further, morphological identification of the larvae was conducted, and a pictorial taxonomic key to Chironomidae species in large rivers in South Korea was developed to facilitate freshwater biomonitoring research. Finally, an action flow chart was created for the rapid identification of chironomid larvae in infested drinking water or water purification facilities.
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Affiliation(s)
- Hyo Jeong Kang
- Department of Life Science, Graduate School, Korea University, Seoul 02841, Korea
| | - Min Jeong Baek
- National Institute of Biological Resources, Incheon 22689, Korea
| | - Ji Hyoun Kang
- Korean Entomological Institute, Korea University, Seoul 02841, Korea
| | - Yeon Jae Bae
- Korean Entomological Institute, Korea University, Seoul 02841, Korea
- Department of Environmental Science and Ecological Engineering, College of Life Sciences, Korea University, Seoul 02841, Korea
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46
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Godunko RJ, Alba-Tercedor J, Grabowski M, Rewicz T, Staniczek AH. Cenozoic origins of the genus Calliarcys (Insecta, Ephemeroptera) revealed by Micro-CT, with DNA barcode gap analysis of Leptophlebiinae and Habrophlebiinae. Sci Rep 2022; 12:15228. [PMID: 36075938 PMCID: PMC9458648 DOI: 10.1038/s41598-022-18234-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Accepted: 08/08/2022] [Indexed: 11/09/2022] Open
Abstract
Mayflies (Ephemeroptera) are among the oldest pterygote insects, with the earliest fossils dating back to the Late Carboniferous. Within mayflies, Leptophlebiidae are a highly diverse and widespread group, with approximately 140 genera and 640 species. Whereas taxonomy, systematics, and phylogeny of extant Leptophlebiidae are in the focus of extensive studies, little is known about leptophlebiid fossil taxa. Because fossil remains of Ephemeroptera in sedimentary rocks are relatively rare, inclusions of mayflies in amber are a unique source of information on their evolution and diversity in the past. Leptophlebiidae found in Cenozoic resins mostly belong to the subfamilies Leptophlebiinae (in Eocene Baltic amber) and Atalophlebiinae (in Miocene Dominican and Mexican ambers). In the present contribution, we confirm the first finding of the genus Calliarcys from Eocene Baltic amber by using Micro-CT, which allowed confirming its generic placement by visualizing diagnostic key characters otherwise hidden by a cloud of turbidity. Additionally, we present first molecular data on the extant species Calliarcys humilis Eaton, 1881 from the Iberian Peninsula and the barcode gap analysis for Leptophlebiinae and Habrophlebiinae.
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Affiliation(s)
- Roman J Godunko
- Biology Centre of the Czech Academy of Sciences, Institute of Entomology, Branišovská 31, 37005, České Budějovice, Czech Republic. .,Department of Invertebrate Zoology and Hydrobiology, University of Łódź, Banacha 12/16, 90237, Łódź, Poland. .,State Museum of Natural History, NAS Ukraine, Teatralna 18, Lviv, 79008, Ukraine.
| | - Javier Alba-Tercedor
- Department of Zoology, Faculty of Sciences, University of Granada, Avenida de Fuente Nueva s/n, 18071, Granada, Spain
| | - Michal Grabowski
- Department of Invertebrate Zoology and Hydrobiology, University of Łódź, Banacha 12/16, 90237, Łódź, Poland
| | - Tomasz Rewicz
- Department of Invertebrate Zoology and Hydrobiology, University of Łódź, Banacha 12/16, 90237, Łódź, Poland
| | - Arnold H Staniczek
- Department of Entomology, State Museum of Natural History Stuttgart, Rosenstein 1, 70191, Stuttgart, Germany
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Seo CW, Kim SH, Lim YW, Park MS. Re-Identification on Korean Penicillium Sequences in GenBank Collected by Software GenMine. MYCOBIOLOGY 2022; 50:231-237. [PMID: 36158042 PMCID: PMC9467555 DOI: 10.1080/12298093.2022.2116816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 08/16/2022] [Accepted: 08/21/2022] [Indexed: 06/16/2023]
Abstract
Penicillium species have been actively studied in various fields, and many new and unrecorded species continue to be reported in Korea. Moreover, unidentified and misidentified Korean Penicillium species still exist in GenBank. Therefore, it is necessary to revise the Korean Penicillium inventory based on accurate identification. We collected Korean Penicillium nucleotide sequence records from GenBank using the newly developed software, GenMine, and re-identified Korean Penicillium based on the maximum likelihood trees. A total of 1681 Korean Penicillium GenBank nucleotide sequence records were collected from GenBank. In these records, 1208 strains with four major genes (Internal Transcribed Spacer rDNA region, β-tubulin, Calmodulin and RNA polymerase II) were selected for Penicillium re-identification. Among 1208 strains, 927 were identified, 82 were identified as other genera, the rest remained undetermined due to low phylogenetic resolution. Identified strains consisted of 206 Penicillium species, including 156 recorded species and 50 new species candidates. However, 37 species recorded in the national list of species in Korea were not found in GenBank. Further studies on the presence or absence of these species are required through literature investigation, additional sampling, and sequencing. Our study can be the basis for updating the Korean Penicillium inventory.
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Affiliation(s)
- Chang Wan Seo
- School of Biological Sciences, and Institute of Microbiology, Seoul National University, Seoul, South Korea
| | - Sung Hyun Kim
- School of Biological Sciences, and Institute of Microbiology, Seoul National University, Seoul, South Korea
| | - Young Woon Lim
- School of Biological Sciences, and Institute of Microbiology, Seoul National University, Seoul, South Korea
| | - Myung Soo Park
- Department of Crops and Forestry, Korea National University of Agriculture and Fisheries, Jeonju, South Korea
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48
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Chetverikov PE, Bertone MA. First rhyncaphytoptine mite (Eriophyoidea, Diptilomiopidae) parasitizing American hazelnut (Corylus americana): molecular identification, confocal microscopy, and phylogenetic position. EXPERIMENTAL & APPLIED ACAROLOGY 2022; 88:75-95. [PMID: 36318416 DOI: 10.1007/s10493-022-00740-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 09/09/2022] [Indexed: 06/16/2023]
Abstract
The plant genus Corylus is an economically important crop, valued especially for its nuts. Numerous pathogens and harmful phytophagous arthropods are known to damage hazelnuts. We report on a new eriophyoid mite, Rhyncaphytoptus corylivagrans n. sp., and the first record of Coptophylla lamimani both collected from leaves of American hazelnut (Corylus americana) in North Carolina, USA. Including our new data, the complex of eriophyoids from Corylus comprises 15 species from three families: Phytoptidae (2 spp.), Eriophyidae (11 spp.), and Diptilomiopidae (2 spp.). We obtained sequences of three genes (Cox1, D1-D5 28S, and ITS1-5.8S-ITS2), applied BLAST and tree-based approaches for identification of R. corylivagrans n. sp., and performed the first molecular phylogenetic analysis focused on Rhyncaphytoptinae. Among the three genes, Cox1 showed better power when used for BLAST searches. Combined molecular phylogenetic analyses inferred R. corylivagrans n. sp. as sister to R. betulae, determined several moderately supported host-specific lineages of rhyncaphytoptines, and indicated a close relationship of the new species with members of the genus Rhinotergum. In two Rhinotergum spp. from Rosaceae, confocal microscopy revealed a new structure, the needle-like anterior process of the prodorsal shield, which is absent in R. corylivagrans n. sp. Additionally, the elements of the anal secretory apparatus presumably associated with silk-production and hypothesized as a synapomorphy of Eriophyoidea, were detected in the new species, providing the first documented report of this structure in Diptilomiopidae. Our study contributes to knowledge on the biodiversity of phytoparasites associated with hazelnuts and calls for future comparative phylogenetics of Diptilomiopidae.
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Affiliation(s)
- Philipp E Chetverikov
- Saint-Petersburg State University, Universitetskaya nab. 7/9, 199034, St. Petersburg, Russia.
- Zoological Institute, Russian Academy of Sciences, Universitetskaya nab. 1, 199034,, St. Petersburg, Russia.
| | - Matthew A Bertone
- Department of Entomology and Plant Pathology, North Carolina State University, Campus Box 7613, 27695, Raleigh, NC, USA.
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DiBattista JD, Fowler AM, Riley IJ, Reader S, Hay A, Parkinson K, Hobbs JPA. The use of environmental DNA to monitor impacted coastal estuaries. MARINE POLLUTION BULLETIN 2022; 181:113860. [PMID: 35779383 DOI: 10.1016/j.marpolbul.2022.113860] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 06/13/2022] [Accepted: 06/14/2022] [Indexed: 06/15/2023]
Abstract
Environmental DNA (eDNA) metabarcoding is increasingly being used to assess community composition in coastal ecosystems. In this study, we chose to examine temporal and spatial changes in the aquatic community of Manly Lagoon - one of the most heavily developed and polluted estuaries in eastern Australia. Based on metabarcoding of the 16S mitochondrial gene (for fish) and the 18S nuclear gene (for macroinvertebrates), we identified seasonal differences in fish and macroinvertebrate community composition as well as species richness, which correlated, in some cases, with the environmental parameters of sea surface temperature and freshwater input. Moreover, given the greater taxonomic resolution of fish versus macroinvertebrate assignments, we identified several known migratory fish species of management importance that contributed significantly to the overall patterns observed. Overall, our data support the use of eDNA metabarcoding to track fish assemblages shifting in response to environmental drivers in polluted estuaries with increased sampling and consultation with historical data.
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Affiliation(s)
- Joseph D DiBattista
- Australian Museum Research Institute, Australian Museum, Sydney, NSW 2010, Australia.
| | - Ashley M Fowler
- New South Wales Department of Primary Industries, Sydney Institute of Marine Science, Mosman, NSW 2088, Australia
| | - Indiana J Riley
- School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia; Sydney Institute of Marine Science, Mosman, NSW 2088, Australia
| | - Sally Reader
- Australian Museum Research Institute, Australian Museum, Sydney, NSW 2010, Australia
| | - Amanda Hay
- Australian Museum Research Institute, Australian Museum, Sydney, NSW 2010, Australia
| | - Kerryn Parkinson
- Australian Museum Research Institute, Australian Museum, Sydney, NSW 2010, Australia
| | - Jean-Paul A Hobbs
- School of Biological Sciences, University of Queensland, Brisbane, QLD 4069, Australia
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50
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Willocx M, Van der Beeten I, Asselman P, Delgat L, Baert W, Janssens SB, Leliaert F, Picron JF, Vanhee C. Sorting out the plants responsible for a contamination with pyrrolizidine alkaloids in spice seeds by means of LC-MS/MS and DNA barcoding: Proof of principle with cumin and anise spice seeds. FOOD CHEMISTRY: MOLECULAR SCIENCES 2022; 4:100070. [PMID: 35415703 PMCID: PMC8991971 DOI: 10.1016/j.fochms.2021.100070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 12/19/2021] [Accepted: 12/28/2021] [Indexed: 11/30/2022]
Abstract
Identification of contaminating plants in seed spice with DNA barcoding. The obtained data concurs the previously obtained results with DNA metabarcoding. Heliotropium sp. is the predominant source of phytotoxic PA/PANOs in those samples. The presence of only 2 Heliotropium seeds/jar can render a sample non-compliant. The benefit combining chemical and molecular approach to check for phytotoxins.
High value commodities such as spices suffer from occasional contaminations of both chemical and biological origin. Consequently, quality control and safety monitoring has become a pressing issue for the spice industry. Two recent independent studies showed that at least one third of the analyzed cumin and green anise spice seeds samples surpassed the by the European Union recently established threshold value for toxic pyrrolizidine alkaloids (PAs) and their corresponding N-oxides (PANOs). These heterocyclic secondary plant metabolites are produced by a large number of different plant families. In those spice seeds, it was found by means of DNA metabarcoding, that predominant contamination was due to the presence of herbal material from the Heliotropium genus (Boraginaceae). Unfortunately, the use of this specific type of DNA-based identification remains controversial for the majority of the official instances and preference is still given to the use of more tangible classical approaches, including microscopy and chemical analysis. However, these methodologies often suffer from inherent drawbacks. Here we demonstrate that at least for spice seeds, a combinatory approach of microscopy, chemical analysis and classical DNA barcoding of the isolated contaminants using the matK and trnH-psbA loci, provides qualitative and quantitative information on the amount of plant material responsible for the contaminations and the extent of the contamination. The generated data also demonstrates that the presence of a very limited number of Heliotropium sp. seeds in a standard commercially available canister is sufficient to surpass the allowed threshold value, illustrating once more the importance of weed control.
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