Identification of Single Nucleotide Polymorphisms for Small Ruminant Health and Adaptation

DOI

10.2991/978-94-6463-282-8_5How to use a DOI?

Keywords

SNP; sheep; goat; health and adaptation

Abstract

Production of small ruminant animals has increased globally in part because of increasing demand for meat and milk. According to the UN’s Food and agricultural organization (FAO), the estimated world’s population will approach 10 billion by the year 2050. Furthermore, the economic status of people in developing nations is improving. Therefore, increased production is required to meet nutritional requirements for food and fiber. There is a need to reduce the environmental impact and use of ineffective antibiotics and anthelmintics. Genomic tests, precision agriculture technologies in breeding, feeding or health drive sustainable productivity and treatment solutions. Genetic variation contributes to natural resistance and resilience of sheep and goats against parasites. Definition of genetic variation and understanding signatures of natural selection and association with disease is the best long-term solution and a benchmark to help improve breeds. Progress in genomics is allowing us to determine genetic variation at the whole animal level. Using Single Nucleotide Polymorphisms (SNP) analysis is a less costly approach to determine within breed or species variation between animals and adaption to an environment. It is important to identify immune gene variants that modulate host-pathogen interactions and are responsible for small ruminant health and immunity. We investigated SNP variants in selected genes related to innate immunity (Toll like receptors TLR and Galectins, LGALS) on 88 Ethiopian sheep genotyped with Ovine Infinium HD SNP BeadChip (600K) and 308 Chinese goats genotyped with Illumina Goat 50K BeadChip. An in-Silico approach with Ensembl database and SNP Chips was used to determine minor allele frequency. We identified 86 TLR and 19 LGALS SNP from sheep and 1 LGALS SNP in goats with variable minor allele frequency (MAF) level. This new knowledge and the SNP analysis approach can increase prediction of sheep and goat innate immunity and adaptation to control diseases for sustainable production.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Md. Rasel Uzzaman
AU  - Zewdu Edea
AU  - Rabiul Islam
AU  - Kwan-Suk Kim
AU  - Mulumebet Worku
PY  - 2023
DA  - 2023/11/22
TI  - Identification of Single Nucleotide Polymorphisms for Small Ruminant Health and Adaptation
BT  - Proceedings of the National Conference on Next-Generation Sustainable Technologies for Small-Scale Producers (NGST 2022)
PB  - Atlantis Press
SP  - 28
EP  - 37
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-282-8_5
DO  - 10.2991/978-94-6463-282-8_5
ID  - Uzzaman2023
ER  -