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      Identification of Lagopus muta japonica food plant resources in the Northern Japan Alps using DNA metabarcoding

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          Abstract

          DNA metabarcoding was employed to identify plant-derived food resources for the Japanese rock ptarmigan ( Lagopus muta japonica), which is registered as a natural living monument in Japan, in the Northern Japanese Alps in Toyama Prefecture, Japan, in July to October, 2015–2018. DNA metabarcoding using high-throughput sequencing (HTS) of rbcL and ITS2 sequences from alpine plants found in ptarmigan fecal samples collected in the study area. The obtained sequences were analyzed using a combination of a constructed local database and the National Center for Biotechnology Information (NCBI) database, revealed that a total of 53 plant taxa were food plant resources for ptarmigans. Of these plant taxa, 49 could be assigned to species (92.5%), three to genus (5.7%), and one to family (1.9%). Of the 23 plant families identified from the 105 fecal samples collected, the dominant families throughout all collection periods were Ericaceae (99.0% of 105 fecal samples), followed by Rosaceae (42.9%), Apiaceae (35.2%), and Poaceae (21.0%). In all of the fecal samples examined, the most frequently encountered plant species were Vaccinium ovalifolium var. ovalifolium (69.5%), followed by Empetrum nigrum var. japonicum (68.6%), Kalmia procumbens (42.9%), Tilingia ajanensis (34.3%) and V. uliginosum var. japonicum (34.3%). A rarefaction analysis for each collection period in the study revealed that the food plant resources found in the study area ranged from a minimum of 87.0% in July to a maximum of 97.5% in September, and that 96.4% of the food plant taxa were found throughout the study period. The findings showed that DNA metabarcoding using HTS to construct a local database of rbcL and ITS2 sequences in conjunction with rbcL and ITS2 sequences deposited at the NCBI, as well as rarefaction analysis, are well suited to identifying the dominant food plants in the diet of Japanese rock ptarmigans. In the windswept alpine dwarf shrub community found in the study area, dominant taxa in the Ericaceae family were the major food plant s for Japanese rock ptarmigans from July to October. This plant community therefore needs to be conserved in order to protect the food resources of Japanese rock ptarmigans in the region.

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            BLAST+: architecture and applications

            Background Sequence similarity searching is a very important bioinformatics task. While Basic Local Alignment Search Tool (BLAST) outperforms exact methods through its use of heuristics, the speed of the current BLAST software is suboptimal for very long queries or database sequences. There are also some shortcomings in the user-interface of the current command-line applications. Results We describe features and improvements of rewritten BLAST software and introduce new command-line applications. Long query sequences are broken into chunks for processing, in some cases leading to dramatically shorter run times. For long database sequences, it is possible to retrieve only the relevant parts of the sequence, reducing CPU time and memory usage for searches of short queries against databases of contigs or chromosomes. The program can now retrieve masking information for database sequences from the BLAST databases. A new modular software library can now access subject sequence data from arbitrary data sources. We introduce several new features, including strategy files that allow a user to save and reuse their favorite set of options. The strategy files can be uploaded to and downloaded from the NCBI BLAST web site. Conclusion The new BLAST command-line applications, compared to the current BLAST tools, demonstrate substantial speed improvements for long queries as well as chromosome length database sequences. We have also improved the user interface of the command-line applications.
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              iNEXT: an R package for rarefaction and extrapolation of species diversity (Hill numbers)

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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: MethodologyRole: ResourcesRole: SoftwareRole: Writing – review & editing
                Role: MethodologyRole: ResourcesRole: SoftwareRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                10 March 2022
                2022
                : 17
                : 3
                : e0252632
                Affiliations
                [1 ] Bioscience and Biotechnology, Chubu University, Kasugai, Aichi, Japan
                [2 ] Institute of Environmental Ecology, IDEA Consultants, Inc., Riemon, Yaizu, Shizuoka, Japan
                Institute for Biological Research, University of Belgrade, SERBIA
                Author notes

                Competing Interests: Competing interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-4909-9577
                Article
                PONE-D-21-16298
                10.1371/journal.pone.0252632
                8912148
                35271584
                3a885516-d813-458a-80de-f1db9abb53c3
                © 2022 Fujii et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 18 May 2021
                : 11 January 2022
                Page count
                Figures: 3, Tables: 5, Pages: 24
                Funding
                Funded by: JSPS Grant in Aid for Scientific Research (C)
                Award ID: 16K00639
                Award Recipient :
                Funded by: Chubu University Grant (P)
                Award ID: 30M03P
                Award Recipient :
                Funded by: DAIKO FOUNDATION
                Award ID: 9216
                Award Recipient :
                This work was supported by JSPS Grant in Aid for Scientific Research (C) (Minami M, Grant Number 16K00639, https://www.jsps.go.jp/), Chubu University Grant (P) (Minami M, Grant Number 30M03P, https://www3.chubu.ac.jp/main/english/), and DAIKO FOUNDATION (Minami M, Grant Number 9216, http://www1.s3.starcat.ne.jp/daiko-f/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Research and Analysis Methods
                Database and Informatics Methods
                Biological Databases
                Sequence Databases
                Research and Analysis Methods
                Database and Informatics Methods
                Bioinformatics
                Sequence Analysis
                Sequence Databases
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Biology and Life Sciences
                Nutrition
                Diet
                Food
                Medicine and Health Sciences
                Nutrition
                Diet
                Food
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Artificial Gene Amplification and Extension
                Polymerase Chain Reaction
                Research and Analysis Methods
                Molecular Biology Techniques
                Artificial Gene Amplification and Extension
                Polymerase Chain Reaction
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Biology and life sciences
                Molecular biology
                Molecular biology techniques
                DNA barcoding
                Research and analysis methods
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                DNA barcoding
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                Evolutionary biology
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                Molecular systematics
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                Biology and life sciences
                Taxonomy
                Evolutionary systematics
                Molecular systematics
                DNA barcoding
                Computer and information sciences
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                Biology and Life Sciences
                Immunology
                Vaccination and Immunization
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                People and Places
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                Asia
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                Custom metadata
                All nucleotide sequence data files are available from the DDBJ database (accession number DRA011842).

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