Publications by authors named "H Bahbahani"

Article Synopsis
  • Copy number variants (CNVs) are differences in the genome structure among individuals that can influence traits, important for breeding programs.
  • A study involving 60 dromedary camels from the Arabian Peninsula identified 37,519 CNV events, leading to the creation of a detailed CNV map with various types of deletions and duplications.
  • Many CNVs were linked to genes related to significant traits such as fertility and heat stress, highlighting their importance in understanding the genetics of dromedary camels.
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The genome of dromedary camels has been subjected to various evolutionary forces, such as genetic admixture, natural positive selection, and epistatic selection. These forces are considered as main factors associated with the formation of long-range linkage disequilibrium (LRLD) events. We have analyzed whole-genome data of 56 dromedary camel samples from different geographical regions across the Arabian Peninsula for two main purposes: first, to assess the level of linkage disequilibrium, and second, to identify autosomal LRLD events.

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Dromedary camels are a domestic species characterized by various adaptive traits. Limited efforts have been employed toward identifying genetic regions and haplotypes under selection that might be related to such adaptations. These genetic elements are considered valuable sources that should be conserved to maintain the dromedaries' adaptability.

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Dromedary camels () are members of the Camelini tribe within the Camelidae family. They are distributed throughout North Africa, the Arabian Peninsula and Southeast Asia. This domestic species is characterized by its superior adaptability to the harsh desert environment.

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Apolipoprotein CII (ApocII) plays a key role in regulating lipoprotein lipase (LPL) in lipid metabolism and transport. Numerous polymorphisms within are reportedly associated with type 2 diabetes mellitus (T2DM), dyslipidemia, and aberrant plasma lipid levels. Few studies have investigated sequence variants at loci and their association with metabolic disorders.

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