Metagenomic Sequencing Elucidated the Microbial Diversity of Rearing Water Environments for Sichuan Taimen (Hucho bleekeri)

The present study demonstrated the similarities and differences in the microbial compositions of rearing water environments for <i>H. bleekeri</i>, which are expected to benefit the artificial breeding of <i>H. bleekeri</i> in the future.

Authors

Institutions

Publication Details

Journal
Genes
Published
2024-10-12
DOI
https://doi.org/10.3390/genes15101314
Citations
4
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
1.84
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metagenomic Sequencing Elucidated the Microbial Diversity of Rearing Water Environments for Sichuan Taimen (Hucho bleekeri)

Quanyu Tu, Qinyao Wei, Yeyu Chen, Huanchao Yang et al.
4 citations
Genes
Environmental DNA in Biodiversity Studies
1.84
article

Metagenomic Sequencing Elucidated the Microbial Diversity of Rearing Water Environments for Sichuan Taimen (Hucho bleekeri)

Quanyu Tu, Qinyao Wei, Yeyu Chen, Huanchao Yang, Hua Li, Yi Yu, Yanling Chen, Zhaobin Song, Jun Du, Zhao Liu
article en
4 citations

Abstract

The present study demonstrated the similarities and differences in the microbial compositions of rearing water environments for <i>H. bleekeri</i>, which are expected to benefit the artificial breeding of <i>H. bleekeri</i> in the future.

GenesVol. 15(10)
Sichuan University (CN), Sichuan Academy of Agricultural Sciences (CN)
Clean water and sanitation
Openalex Percentile: Top 15%
Environmental DNA in Biodiversity Studies
1.84
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.