The Guizhou golden monkey () is a critically endangered wildlife species, and understanding its diet composition may be useful for assessing its feeding strategies. DNA metabarcoding was used to determine the dietary diversity of . DNA was extracted from 31 faecal samples and amplified chloroplast and mitochondrial DNA was sequenced using the Illumina NovaSeq platform. A comparative analysis of the sequences revealed that the five most abundant plant genera were , , , and . In winter, mostly consumed shrubs, herbs and shrubs/trees according to the habit of plant genera with higher abundances comparatively. The five most abundant families in animal diet were Psychodidae, Trichinellidae, Staphylinidae, Scarabaeidae and Trichoceridae. This study is the first to show the composition of the winter animal diets of based on DNA metabarcoding. These results provide an important basis for understanding the diet of wild , which inhabits only the Fanjingshan National Nature Reserve, China.
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http://dx.doi.org/10.1002/ece3.10893 | DOI Listing |
Sci Rep
December 2024
School of Health and Life Sciences, Teesside University, Middlesbrough, UK.
Outdoor microcosms, metabarcoding with next-generation sequencing of the 16S rRNA bacterial gene, total body score (TBS) and physicochemical analyses were used to monitor Mus musculus decomposition aboveground (A) and in the subsurface (S), and compared to soil-only controls (C). As determined by MaAsLin2 analysis, significant shifts in bacterial communities at 30 cm depths within the A, S and C treatments distinguished control from experimental soils, and between aboveground and subsurface deposition, demonstrating the potential for gravesoil discrimination during the first 90 days. For example, Dokdonella (p = 0.
View Article and Find Full Text PDFMethods Mol Biol
December 2024
The James Hutton Institute, Dundee, UK.
We describe a protocol to amplify DNA barcodes of known and unknown taxa of Phytophthora and related plant pathogenic oomycetes from a range of environments. The methods focus on sampling pathogen propagules from water using in situ sampling and filtration equipment and buffers that enable efficient storage and DNA extraction for later downstream processing.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
Liaoning Ocean and Fisheries Science Research Institute/Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs/Key Laboratory of Molecular Biology for Marine Fishery, Dalian 116023, Liaoning, China.
We investigated food composition and feeding selectivity of jellyfish () from the coastal aquaculture ponds in Liaodong Bay by DNA metabarcoding technology. The DNA from environmental water samples and stomach contents of were extracted and sequenced by high-throughput sequencing with 18S rDNA V4 region and mitochondrial cytochrome c oxidase subunit I (COI) as metabarcoding markers. Based on 18S rDNA metabarcoding, we detected 27 phyla in the stomach contents of , in which Mollusc was the dominant phylum followed by Arthropod, and 34 phyla in the environmental water samples, in which Pyrrophyta was the dominant phylum followed by Ciliophora and Ascomycota.
View Article and Find Full Text PDFPeerJ
December 2024
Jiangxi Provincial Key Laboratory of Conservation Biology, Jiangxi Agricultural University, Nanchang, Jiangxi, China.
Background: Food provides essential nutrients and energy necessary for animals to sustain life activities. Accordingly, dietary niche analysis facilitates the exploration of foraging strategies and interspecific relationships among wildlife. The vegetation succession has reduced understory forage resources (.
View Article and Find Full Text PDFAppl Environ Microbiol
December 2024
Department of Molecular and Cell Biology, University of Connecticut, Storrs, Connecticut, USA.
Unlabelled: Advances in DNA metabarcoding have greatly expanded our knowledge of microbial communities in recent years. Pipelines and parameters have been tested extensively for bacterial metabarcoding using the 16S rRNA gene and best practices are largely established. For fungal metabarcoding using the internal transcribed spacer (ITS) gene, however, only a few studies have considered how such pipelines and parameters can affect community prediction.
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