Integration of Genomics into Animal Management; Genome-Assisted Animal Management, Nutrigenetics and Nutrigenomics in Cattle

A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Cattle".

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 2810

Special Issue Editor


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Guest Editor
Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea
Interests: animal genomics; genomic selection; genome-assisted management of livestock; nutrigenetics and nutrigenomics

Special Issue Information

Dear Colleagues,

Recent rapid developments in genetics and genome science are driving precise animal genetic selection and feeding management in the livestock industry. Since the first bovine genome was sequenced in 2009, the technology has become much faster and cheaper. As a result, cattle bio-big-data such as high-density genotypes, whole-genome sequencing, and multi-omics data are entering into animal genetic improvement and management (more precise animal feeding based on their genetic potential), particularly to select genetically good animals and more efficient feeding trials based on personalized animal genetic information. Moreover, genetic-based feed additives in the cattle industry will become very popular. Therefore, looking into interactions between genetic information and feed-additives is one of the most pertinent research fields in animal science. We would like to invite original research papers on animal precision managements (genotype-based feeding strategies), nutrigenetics (genotype by feed additives interaction) and nutrigenomics using multi-omics data in cattle, which unveils the biological mechanisms underlying the animal complex traits, to provide insights into the impact of genetic and environmental variation at the genome levels.

Dr. Seung-Hwan Lee
Guest Editor

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Keywords

  • animal genomics
  • genomic selection
  • genome-assisted management of livestock
  • nutrigenetics and nutrigenomics

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Published Papers (1 paper)

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Research

11 pages, 1644 KiB  
Article
Exploring the Diversity of Active Ureolytic Bacteria in the Rumen by Comparison of cDNA and gDNA
by Sijia Liu, Nan Zheng, Shengguo Zhao and Jiaqi Wang
Animals 2020, 10(11), 2162; https://doi.org/10.3390/ani10112162 - 20 Nov 2020
Cited by 4 | Viewed by 2247
Abstract
In this study we revealed the diversity of active ureolytic bacteria in the rumen by compared ureC amplicons between gDNA and cDNA. Rumen fluid was collected from four Holstein dairy cows with rumen fistulas at 0, 2, and 6 h after morning feeding. [...] Read more.
In this study we revealed the diversity of active ureolytic bacteria in the rumen by compared ureC amplicons between gDNA and cDNA. Rumen fluid was collected from four Holstein dairy cows with rumen fistulas at 0, 2, and 6 h after morning feeding. Total microbial gDNA and RNA were isolated, and the RNA was reverse-transcribed into cDNA. The ureC gene amplicons of gDNA and cDNA were produced and sequenced by MiSeq. These results revealed that the sampling time had no significant difference on the alphssa and beta diversity indices of the ureolytic bacteria. The Shannon diversity of the ureC gene for cDNA was greater than that for gDNA (p < 0.05). There were significant difference in the beta diversity of ureolytic bacteria between gDNA and cDNA (p < 0.01), which indicates a shift in the community of active ureolytic bacteria. Approximately 67% of ureC sequences from cDNA could not be confidently classified at the genus level. The active ureolytic bacteria were mainly from Helicobacter, Herbaspirillum, Clostridium, Paenibacillus, Synechococcus, and Sphingobacterium sp. Changes in the operational taxonomic units revealed that the top abundant ureC genes were mostly consistent between gDNA and cDNA, and most differences occurred in the ureC genes with lower abundances. These results revealed distinct ureolytic bacteria community profiles based on gDNA and cDNA. The dominant ureolytic bacteria had high transcriptional activity, and the differential were mainly distributed in the genus of low abundance. Full article
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