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The shrunk genetic diversity of coral populations in North-Central Patagonia calls for management and conservation plans for marine resources. Sci Rep 2022; 12:14894. [PMID: 36050435 PMCID: PMC9437062 DOI: 10.1038/s41598-022-19277-3] [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: 11/01/2021] [Accepted: 08/26/2022] [Indexed: 11/15/2022] Open
Abstract
The Chilean Patagonia is a complex puzzle of numerous fjords, channels, bays, estuaries, and islands. The largest part of it is very remote, hampering the generation of scientific knowledge and effective management planning that could balance conservation of the marine resources with the increasing development of aquaculture activities. The present study focuses on the deep-water emergent cold-water coral Desmophyllum dianthus, dwelling in Chilean Patagonia, with the aim to illustrate its population genetic structure, demography and adaptation of the species along this coast. Microsatellite loci analysis included D. dianthus individuals from twelve sampling localities along bathymetric and oceanographic gradients from the latitude 40°S to 48°S. The results showed a lack of genetic structure with an asymmetric dispersion of individuals, and relevant heterozygosity deficiency in some populations. This study also analyses the natural and human impacts affecting the region (e.g., climate change, increasing salmon farming activities), and stresses the importance of including genetic information in the process of management and conservation of marine resources. In particular, the relevance of using interdisciplinary approaches to fill the gaps in scientific knowledge especially in remote and pristine areas of western Patagonia. Therefore, information on genetic spatial distribution of marine fauna could become pivotal to develop a holistic ecosystem-based approach for marine spatial planning.
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Mao Y, Cui X, Wang H, Qin X, Liu Y, Yin Y, Su X, Tang J, Wang F, Ma F, Duan N, Zhang D, Hu Y, Wang W, Wei S, Chen X, Mao Z, Chen X, Shen X. De novo assembly provides new insights into the evolution of Elaeagnus angustifolia L. PLANT METHODS 2022; 18:84. [PMID: 35717244 PMCID: PMC9206267 DOI: 10.1186/s13007-022-00915-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 05/26/2022] [Indexed: 05/04/2023]
Abstract
BACKGROUND Elaeagnus angustifolia L. is a deciduous tree in the family Elaeagnaceae. It is widely used to study abiotic stress tolerance in plants and to improve desertification-affected land because of its ability to withstand diverse types of environmental stress, such as drought, salt, cold, and wind. However, no studies have examined the mechanisms underlying the resistance of E. angustifolia to environmental stress and its adaptive evolution. METHODS Here, we used PacBio, Hi-C, resequencing, and RNA-seq to construct the genome and transcriptome of E. angustifolia and explore its adaptive evolution. RESULTS The reconstructed genome of E. angustifolia was 526.80 Mb, with a contig N50 of 12.60 Mb and estimated divergence time of 84.24 Mya. Gene family expansion and resequencing analyses showed that the evolution of E. angustifolia was closely related to environmental conditions. After exposure to salt stress, GO pathway analysis showed that new genes identified from the transcriptome were related to ATP-binding, metal ion binding, and nucleic acid binding. CONCLUSION The genome sequence of E. angustifolia could be used for comparative genomic analyses of Elaeagnaceae family members and could help elucidate the mechanisms underlying the response of E. angustifolia to drought, salt, cold, and wind stress. Generally, these results provide new insights that could be used to improve desertification-affected land.
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Affiliation(s)
- Yunfei Mao
- College of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China
| | - Xueli Cui
- College of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China
| | - Haiyan Wang
- College of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China
| | - Xin Qin
- College of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China
| | - Yangbo Liu
- College of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China
| | - Yijun Yin
- College of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China
| | - Xiafei Su
- College of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China
| | - Juan Tang
- Biomarker Technologies Corporation, Beijing, China
| | | | - Fengwang Ma
- College of Horticulture, Northwest Agriculture and Forestry University, Yangling, China
| | - Naibin Duan
- Germplasm Resource Center of Shandong Province, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Donglin Zhang
- Department of Horticulture, University of Georgia, Athens, USA
| | - Yanli Hu
- College of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China
| | - Wenli Wang
- College of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China
| | - Shaochong Wei
- College of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China
| | - Xiaoliu Chen
- College of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China
| | - Zhiquan Mao
- College of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China
| | - Xuesen Chen
- College of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China
| | - Xiang Shen
- College of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China.
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Czech L, Stamatakis A, Dunthorn M, Barbera P. Metagenomic Analysis Using Phylogenetic Placement-A Review of the First Decade. FRONTIERS IN BIOINFORMATICS 2022; 2:871393. [PMID: 36304302 PMCID: PMC9580882 DOI: 10.3389/fbinf.2022.871393] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 04/11/2022] [Indexed: 12/20/2022] Open
Abstract
Phylogenetic placement refers to a family of tools and methods to analyze, visualize, and interpret the tsunami of metagenomic sequencing data generated by high-throughput sequencing. Compared to alternative (e. g., similarity-based) methods, it puts metabarcoding sequences into a phylogenetic context using a set of known reference sequences and taking evolutionary history into account. Thereby, one can increase the accuracy of metagenomic surveys and eliminate the requirement for having exact or close matches with existing sequence databases. Phylogenetic placement constitutes a valuable analysis tool per se, but also entails a plethora of downstream tools to interpret its results. A common use case is to analyze species communities obtained from metagenomic sequencing, for example via taxonomic assignment, diversity quantification, sample comparison, and identification of correlations with environmental variables. In this review, we provide an overview over the methods developed during the first 10 years. In particular, the goals of this review are 1) to motivate the usage of phylogenetic placement and illustrate some of its use cases, 2) to outline the full workflow, from raw sequences to publishable figures, including best practices, 3) to introduce the most common tools and methods and their capabilities, 4) to point out common placement pitfalls and misconceptions, 5) to showcase typical placement-based analyses, and how they can help to analyze, visualize, and interpret phylogenetic placement data.
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Affiliation(s)
- Lucas Czech
- Department of Plant Biology, Carnegie Institution for Science, Stanford, CA, United States
| | - Alexandros Stamatakis
- Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
- Institute for Theoretical Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Micah Dunthorn
- Natural History Museum, University of Oslo, Oslo, Norway
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Arumilli M, Layer RM, Hytönen MK, Lohi H. webGQT: A Shiny Server for Genotype Query Tools for Model-Based Variant Filtering. Front Genet 2020; 11:152. [PMID: 32194629 PMCID: PMC7063093 DOI: 10.3389/fgene.2020.00152] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 02/10/2020] [Indexed: 01/02/2023] Open
Abstract
Summary Genotype Query Tools (GQT) were developed to discover disease-causing variations from billions of genotypes and millions of genomes, processes data at substantially higher speed over other existing methods. While GQT has been available to a wide audience as command-line software, the difficulty of constructing queries among non-IT or non-bioinformatics researchers has limited its applicability. To overcome this limitation, we developed webGQT, an easy-to-use tool with a graphical user interface. With pre-built queries across three modules, webGQT allows for pedigree analysis, case-control studies, and population frequency studies. As a package, webGQT allows researchers with less or no applied bioinformatics/IT experience to mine potential disease-causing variants from billions. Results webGQT offers a flexible and easy-to-use interface for model-based candidate variant filtering for Mendelian diseases from thousands to millions of genomes at a reduced computation time. Additionally, webGQT provides adjustable parameters to reduce false positives and rescue missing genotypes across all modules. Using a case study, we demonstrate the applicability of webGQT to query non-human genomes. In addition, we demonstrate the scalability of webGQT on large data sets by implementing complex population-specific queries on the 1000 Genomes Project Phase 3 data set, which includes 8.4 billion variants from 2504 individuals across 26 different populations. Furthermore, webGQT supports filtering single-nucleotide variants, short insertions/deletions, copy number or any other variant genotypes supported by the VCF specification. Our results show that webGQT can be used as an online web service, or deployed on personal computers or local servers within research groups. Availability webGQT is made available to the users in three forms: 1) as a webserver available at https://vm1138.kaj.pouta.csc.fi/webgqt/, 2) as an R package to install on personal computers, and 3) as part of the same R package to configure on the user's own servers. The application is available for installation at https://github.com/arumds/webgqt.
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Affiliation(s)
- Meharji Arumilli
- Department of Veterinary Biosciences, Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland.,Genetics Research Program, The Folkhälsan Research Center, Helsinki, Finland
| | - Ryan M Layer
- Department of Computer Science, University of Colorado, Boulder, CO, United States.,The BioFrontiers Institute, University of Colorado, Boulder, CO, United States
| | - Marjo K Hytönen
- Department of Veterinary Biosciences, Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland.,Genetics Research Program, The Folkhälsan Research Center, Helsinki, Finland
| | - Hannes Lohi
- Department of Veterinary Biosciences, Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland.,Genetics Research Program, The Folkhälsan Research Center, Helsinki, Finland
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Co-option of wing-patterning genes underlies the evolution of the treehopper helmet. Nat Ecol Evol 2019; 4:250-260. [DOI: 10.1038/s41559-019-1054-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 10/25/2019] [Indexed: 12/18/2022]
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Carstairs SJ. Evidence for low prevalence of ranaviruses in Ontario, Canada's freshwater turtle population. PeerJ 2019; 7:e6987. [PMID: 31149410 PMCID: PMC6532614 DOI: 10.7717/peerj.6987] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 04/19/2019] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Ontario, Canada is home to eight native species of turtles; all eight are federally listed as Species At Risk, due to anthropogenic threats. However, until recently, reports of infectious disease have been lacking. Ranavirus is seen as an emerging threat for ectotherms globally, with mass die-offs most often reported in amphibians. Ranavirus has been detected in Ontario's amphibian populations, can be transmitted via water, and can be transmitted from amphibians to turtles. However, no studies on the prevalence of this virus in Ontario's turtles have previously been carried out. With recent reports of two confirmed positive case of ranavirus in turtles in Ontario, a knowledge of the ecology of ranavirus in Ontario's turtles has become even more important. This study estimates the prevalence of ranavirus in Ontario's turtles, and investigates the hypothesis that this is a newly emergent disease. METHODS Sixty-three samples were tested for ranavirus via PCR. These included a variety of turtle species, across their home range in Southern Ontario. Fifty-two of the samples originated from the liver and kidney of turtles who had succumbed to traumatic injuries after being admitted to the Ontario Turtle Conservation Centre; ten of the samples were taken from cloacal swabs, lesion swabs, or tail clips collected from live turtles showing signs of clinical disease. One of the live turtles was later euthanized for humane reasons and PCR was also carried out on the liver/kidney. RESULTS None of the 63 samples were found to be positive for ranavirus via PCR. The zero prevalence found in this study translates into a population prevalence estimate of less than 5%, with no change in prevalence from 2014-2018. DISCUSSION This is the first report on the prevalence of ranavirus in Ontario's turtles, and will help build an understanding of the ecology of this virus in Ontario. Ranavirus has historically been underreported in reptiles, but there has been an increase in global reports recently, most likely due to increased awareness. A carrier state is thought to exist in reptiles which makes surveillance in the population via random sampling a viable method of detection of prevalence. The first report of ranavirus in Ontario turtles occurred in 2018. This study suggests a continued low population prevalence for the years 2014-2018, however. Ongoing surveillance is necessary, as well as investigation of the eDNA presence in waterways as compared to the PCR of resident turtles, to further understand the sensitivity of these species to ranavirus infection. The utilization of qPCR would be helpful, to better quantify any positives encountered.
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Affiliation(s)
- Sue J. Carstairs
- Ontario Turtle Conservation Centre (Kawartha Turtle Trauma Centre), Selwyn, Ontario, Canada
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Raupach MJ, Hannig K, Moriniére J, Hendrich L. A DNA barcode library for ground beetles of Germany: the genus Amara Bonelli, 1810 (Insecta, Coleoptera, Carabidae). Zookeys 2018; 759:57-80. [PMID: 29853775 PMCID: PMC5968077 DOI: 10.3897/zookeys.759.24129] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 03/27/2018] [Indexed: 01/08/2023] Open
Abstract
The genus Amara Bonelli, 1810 is a very speciose and taxonomically difficult genus of the Carabidae. The identification of many of the species is accomplished with considerable difficulty, in particular for females and immature stages. In this study the effectiveness of DNA barcoding, the most popular method for molecular species identification, was examined to discriminate various species of this genus from Central Europe. DNA barcodes from 690 individuals and 47 species were analysed, including sequences from previous studies and more than 350 newly generated DNA barcodes. Our analysis revealed unique BINs for 38 species (81%). Interspecific K2P distances below 2.2% were found for three species pairs and one species trio, including haplotype sharing between Amara alpina/Amara torrida and Amara communis/Amara convexior/Amara makolskii. This study represents another step in generating an extensive reference library of DNA barcodes for carabids, highly valuable bioindicators for characterizing disturbances in various habitats.
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Affiliation(s)
- Michael J. Raupach
- Institute for Biology and Environmental Sciences, Carl von Ossietzky University Oldenburg, Carl von Ossietzky Straße 9-11, 26111 Oldenburg, Germany
| | | | - Jérôme Moriniére
- Taxonomic coordinator – German Barcode of Life (GBOL), Bavarian State Collection of Zoology (SNSB – ZSM), Münchhausenstraße 21, 81247 München, Germany
| | - Lars Hendrich
- Sektion Insecta varia, Bavarian State Collection of Zoology (SNSB – ZSM), Münchhausenstraße 21, 81247 München, Germany
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Kelly RP, O'Donnell JL, Lowell NC, Shelton AO, Samhouri JF, Hennessey SM, Feist BE, Williams GD. Genetic signatures of ecological diversity along an urbanization gradient. PeerJ 2016; 4:e2444. [PMID: 27672503 PMCID: PMC5028742 DOI: 10.7717/peerj.2444] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Accepted: 08/13/2016] [Indexed: 12/11/2022] Open
Abstract
Despite decades of work in environmental science and ecology, estimating human influences on ecosystems remains challenging. This is partly due to complex chains of causation among ecosystem elements, exacerbated by the difficulty of collecting biological data at sufficient spatial, temporal, and taxonomic scales. Here, we demonstrate the utility of environmental DNA (eDNA) for quantifying associations between human land use and changes in an adjacent ecosystem. We analyze metazoan eDNA sequences from water sampled in nearshore marine eelgrass communities and assess the relationship between these ecological communities and the degree of urbanization in the surrounding watershed. Counter to conventional wisdom, we find strongly increasing richness and decreasing beta diversity with greater urbanization, and similar trends in the diversity of life histories with urbanization. We also find evidence that urbanization influences nearshore communities at local (hundreds of meters) rather than regional (tens of km) scales. Given that different survey methods sample different components of an ecosystem, we then discuss the advantages of eDNA—which we use here to detect hundreds of taxa simultaneously—as a complement to traditional ecological sampling, particularly in the context of broad ecological assessments where exhaustive manual sampling is impractical. Genetic data are a powerful means of uncovering human-ecosystem interactions that might otherwise remain hidden; nevertheless, no sampling method reveals the whole of a biological community.
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Affiliation(s)
- Ryan P Kelly
- School of Marine and Environmental Affairs, University of Washington , Seattle , WA , United States of America
| | - James L O'Donnell
- School of Marine and Environmental Affairs, University of Washington , Seattle , WA , United States of America
| | - Natalie C Lowell
- School of Aquatic and Fishery Sciences, University of Washington , Seattle , WA , United States of America
| | - Andrew O Shelton
- Northwest Fisheries Science Center, NOAA Fisheries , Seattle , WA , United States of America
| | - Jameal F Samhouri
- Northwest Fisheries Science Center, NOAA Fisheries , Seattle , WA , United States of America
| | - Shannon M Hennessey
- Department of Integrative Biology, Oregon State University , Corvallis , OR , United States of America
| | - Blake E Feist
- Northwest Fisheries Science Center, NOAA Fisheries , Seattle , WA , United States of America
| | - Gregory D Williams
- Northwest Fisheries Science Center, NOAA Fisheries , Seattle , WA , United States of America
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Raupach MJ, Hannig K, Morinière J, Hendrich L. A DNA barcode library for ground beetles (Insecta, Coleoptera, Carabidae) of Germany: The genus Bembidion Latreille, 1802 and allied taxa. Zookeys 2016; 592:121-41. [PMID: 27408547 PMCID: PMC4926639 DOI: 10.3897/zookeys.592.8316] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Accepted: 04/23/2016] [Indexed: 12/23/2022] Open
Abstract
As molecular identification method, DNA barcoding based on partial cytochrome c oxidase subunit 1 (COI) sequences has been proven to be a useful tool for species determination in many insect taxa including ground beetles. In this study we tested the effectiveness of DNA barcodes to discriminate species of the ground beetle genus Bembidion and some closely related taxa of Germany. DNA barcodes were obtained from 819 individuals and 78 species, including sequences from previous studies as well as more than 300 new generated DNA barcodes. We found a 1:1 correspondence between BIN and traditionally recognized species for 69 species (89%). Low interspecific distances with maximum pairwise K2P values below 2.2% were found for three species pairs, including two species pairs with haplotype sharing (Bembidion atrocaeruleum/Bembidion varicolor and Bembidion guttula/Bembidion mannerheimii). In contrast to this, deep intraspecific sequence divergences with distinct lineages were revealed for two species (Bembidion geniculatum/Ocys harpaloides). Our study emphasizes the use of DNA barcodes for the identification of the analyzed ground beetles species and represents an important step in building-up a comprehensive barcode library for the Carabidae in Germany and Central Europe as well.
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Affiliation(s)
- Michael J. Raupach
- Molecular Taxonomy of Marine Organisms, German Centre of Marine Biodiversity Research (DZMB), Senckenberg am Meer, Südstrand 44, 26382 Wilhelmshaven, Germany
| | | | - Jérome Morinière
- Taxonomic coordinator – Barcoding Fauna Bavarica, Bavarian State Collection of Zoology (SNSB – ZSM), Münchhausenstraße 21, 81247 München, Germany
| | - Lars Hendrich
- Sektion Insecta varia, Bavarian State Collection of Zoology (SNSB – ZSM), Münchhausenstraße 21, 81247 München, Germany
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