Identification of Large Japanese field mouse Apodemus speciosus food plant resources in an industrial green space using DNA metabarcoding
Fujii, T.; Hirokazu, K.; Shirako, T.; Nakamura, M.; Minami, M.
Show abstract
DNA metabarcoding was employed to identify the food plant resources of the Large Japanese field mouse Apodemus speciosus, inhabiting an artificial green space on reclaimed land on the Chita Peninsula in Aichi Prefecture, Central Japan, from 2012 to 2014. DNA metabarcoding was performed using high-throughput sequencing of partial rbcL sequences extracted from feces samples collected in the study area. The obtained sequences, which were analyzed using a constructed local database, revealed that a total of 72 plant taxa were utilized as food plant resources by A. speciosus. Of these plant taxa, 43 could be assigned to species (59.7%), 16 to genus (22.2%), and 13 to family (18.1%). Of the 72 plant taxa identified in this study, the dominant families throughout all collection periods were Lauraceae (81.0% of 100 fecal samples), followed by Fagaceae (70.0%), Rosaceae (68.0%), and Oleaceae (48.0%). Fifty of the 72 plant taxa identified as food plant resources were woody plants. An analysis employing rarefaction techniques for each season in the study site indicated comprehensive coverage of the food plant resources, ranging from 86.4% in winter to 93.6% in spring. Further, 96.5% of the food plant taxa were found throughout the study period. The findings showed that DNA metabarcoding using a local database constructed from the National Center for Biotechnology Information (NCBI) database and field surveys was effective for identifying the dominant food plants in the diet of A. speciosus. The results of this study provided basic information that can be applied to formulation and implementation of management and conservation strategies for local wildlife.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Identification of Lagopus muta japonica plant food resources in the Northern Japan Alps using DNA metabarcoding 99%
- Application of DNA barcodes and spatial analysis in conservation genetics and modeling of Iranian Salicornia genetic resources 96%
- Evaluation of biodiversity in estuaries using environmental DNA metabarcoding 96%
Similar papers in this journal
- Fish diversity in a doubly landlocked country - a description of the fish fauna of Uzbekistan using DNA barcoding 95%
- Gut microbial communities associated with phenotypically divergent populations of the striped stem borer Chilo suppressalis 95%
- Genetic diversity and population structure of razor clam Sinonovacula constricta in Ariake Bay, Japan, revealed using RAD-Seq SNP markers. 94%
Similar papers in this journal
- Exploring the phytobeneficial and biocontrol capacities of endophytic bacteria isolated from hybrid vanilla pods 93%
- Effects of cellular stress on pigment production in Rhodotorula mucilaginosa/alborubescens AJB01 strain from the Caribbean region of Colombia 93%
- Genome-resolved metagenomic analyses reveal the presence of a bacterial endosymbiont in an avian nasal mite (Rhinonyssidae; Mesostigmata) 93%
Similar papers in this journal
- Assessing whitefly diversity to infer about begomovirus dynamics in cassava in Brazil 93%
- Outwitting planarians antibacterial defence mechanisms: Rickettsiales bacterial trans-infection from Paramecium multimicronucleatum to planarians 92%
- Standardization and validation of a panel of cross-species microsatellites to individually identify the Asiatic wild dog (Cuon alpinus): implications in population estimation and dynamics 92%
Similar papers in this journal
- Omnivorous diets of sympatric duck species in a subtropical East Asia wetland unveiled by multi-marker DNA metabarcoding 94%
- Foraging niche partitioning of three Myotis bat species and marine fish consumption by Myotis pilosus in a subtropical East Asian region 93%
- Environmental variables and species traits as drivers of wild bee pollination in intensive agroecosystems -a metabarcoding approach 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.