Application of Metagenomics in Livestock Improvement

Sahu, Amiya Ranjan; Nayak, Nibedita; Sahu, Rajesh Kumar; Kumar, Jatin

doi:10.5455/ijlr.20170423033727

Cited by 2 publications

(3 citation statements)

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“…These rumen microbiotas may influence a range of phenotypes in the host, including feed efficiency, the inflammatory state in the digestive tract, and volume of methane production in the rumen (Morgan et al, 2014;Ritchie et al, 2015). Metagenomics is also the best way to reveal modern species' phylogenetic and evolutionary relationships with the natives and ancestors of livestock and poultry (Sahu et al, 2017). Other important applications of metagenomics in livestock improvement are to identify the disease-resistant strains for drug of choice and information generation for genotype and environmental interactions for better control over management (Sahu et al, 2017).…”

Section: Metagenomicsmentioning

confidence: 99%

“…Metagenomics is also the best way to reveal modern species' phylogenetic and evolutionary relationships with the natives and ancestors of livestock and poultry (Sahu et al, 2017). Other important applications of metagenomics in livestock improvement are to identify the disease-resistant strains for drug of choice and information generation for genotype and environmental interactions for better control over management (Sahu et al, 2017).…”

Section: Metagenomicsmentioning

confidence: 99%

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Applications of Omics Technology for Livestock Selection and Improvement

et al. 2022

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Conventional animal selection and breeding methods were based on the phenotypic performance of the animals. These methods have limitations, particularly for sex-limited traits and traits expressed later in the life cycle (e.g., carcass traits). Consequently, the genetic gain has been slow with high generation intervals. With the advent of high-throughput omics techniques and the availability of multi-omics technologies and sophisticated analytic packages, several promising tools and methods have been developed to estimate the actual genetic potential of the animals. It has now become possible to collect and access large and complex datasets comprising different genomics, transcriptomics, proteomics, metabolomics, and phonemics data as well as animal-level data (such as longevity, behavior, adaptation, etc.,), which provides new opportunities to better understand the mechanisms regulating animals’ actual performance. The cost of omics technology and expertise of several fields like biology, bioinformatics, statistics, and computational biology make these technology impediments to its use in some cases. The population size and accurate phenotypic data recordings are other significant constraints for appropriate selection and breeding strategies. Nevertheless, omics technologies can estimate more accurate breeding values (BVs) and increase the genetic gain by assisting the section of genetically superior, disease-free animals at an early stage of life for enhancing animal productivity and profitability. This manuscript provides an overview of various omics technologies and their limitations for animal genetic selection and breeding decisions.

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Section: Metagenomicsmentioning

confidence: 99%

Section: Metagenomicsmentioning

confidence: 99%

Applications of Omics Technology for Livestock Selection and Improvement

et al. 2022

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“…The rumen harbor very complex consortium of bacteria, protozoa, archaea, fungi and bacteriophages, where the interaction among them results in better feed degradation [17]. According to Woese's classification all microbes in the rumen ecosystem can be distinguished into three domains: Bacteria (bacteria), Archaea (methanogens), and Eucarya (protozoa and fungi) [18].…”

Section: Microbes Involved In Various Rumen Functionsmentioning

confidence: 99%

Functional Metagenomics from the Rumen Environment—A Review

Bekele¹,

Zegeye²,

Simachew³

et al. 2021

ABB

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The rumen microbiome plays an essential role in ruminant physiology, nutrition and pathology as well as host immunity. A better understanding of rumen microbial processes and identification of which populations are responsible for specific functions within the rumen microbiome will lead to better management and sustainable utilization of the available feed base while maintaining a low environmental impact. Recent advance in the culture independent method of microbiology such as metagenomics, unravels potentially the rumen microbial process. There are two basic types of metagenomics studies: Sequence-based and function-based metagenomics. Sequence-based metagenomics involves sequencing and analysis of DNA from environmental samples. Its purpose is to assemble genomes, identify genes, find complete metabolic pathways, and compare organisms of different communities. Whereas functional metagenomics is the study of the collective genome of a microbial community by expressing it in a foreign host usually Escherichia coli (E. coli). It is a promising approach unearthing novel enzymes even from yet to culture rumen microbiota. Further advances in the screening techniques promise vast opportunities to rumen microbiologists, and animal nutritionist. The identification of novel enzyme through functional metagenomics consists of three parts: rumen sample collection; DNA library construction and screening of individual clone. Functional metagenomics was successfully applied to identify different antibiotics, hydrolytic enzymes, antibiotic resistance genes, and many other functions; moreover, it allowed characterization of genes encoding enzymes with a particular activity, which represents completely novel sequence. There are a number of outputs from functionally screened rumen product such as carbohydrate active enzymes (CAZymes) that can break down plant cell walls. Company involved How to cite this paper:

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Application of Metagenomics in Livestock Improvement

Abstract: Metagenomics is the direct genetic analysis of genomes contained with an environmental sample of entire communities of organisms which comprises both

Cited by 2 publications

References 9 publications

Applications of Omics Technology for Livestock Selection and Improvement

Applications of Omics Technology for Livestock Selection and Improvement

Functional Metagenomics from the Rumen Environment—A Review

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