Selection Signature Mapping Reveals Genomic Regions Shaped by Artificial Selection in Jaunpuri Goats
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Authors
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Ashish Kumar Shrivastav
Acharya Narendra Deva University of Agriculture and Technology, Kumarganj. Ayodhya, U. P.
Author
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Jaswant Singh
Acharya Narendra Deva University of Agriculture and Technology, Kumarganj. Ayodhya, U. P.
Author
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M. K. Verma
Acharya Narendra Deva University of Agriculture and Technology, Kumarganj. Ayodhya, U. P.
Author
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Pooja Chhabra
ICAR-National Bureau of Animal Genetic Resources, Karnal - 132001, Haryana
Author
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Ritika Gera
ICAR-National Bureau of Animal Genetic Resources, Karnal - 132001, Haryana
Author
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A. K. Verma
Acharya Narendra Deva University of Agriculture and Technology, Kumarganj. Ayodhya, U. P.
Author
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K. D. Singh
Acharya Narendra Deva University of Agriculture and Technology, Kumarganj. Ayodhya, U. P.
Author
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S.S Kashyap
Acharya Narendra Deva University of Agriculture and Technology, Kumarganj. Ayodhya, U. P.
Author
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D.P Shrivastav
Acharya Narendra Deva University of Agriculture and Technology, Kumarganj. Ayodhya, U. P.
Author
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Anmol
Acharya Narendra Deva University of Agriculture and Technology, Kumarganj. Ayodhya, U. P.
Author
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Reena Arora
ICAR-National Bureau of Animal Genetic Resources, Karnal - 132001, Haryana
Author
Abstract
ABSTRACT
Jaunpuri is an important indigenous dairy goat breed of northern India, but the genomic basis of its economically important traits remains poorly understood. This study investigated genome-wide selection signatures using four complementary approaches namely nucleotide diversity (π), Tajima's D, composite likelihood ratio (CLR) and integrated haplotype score (iHS). The π analysis identified 948 candidate genes enriched for transcriptional regulation and chromatin organization. Tajima's D detected 848 candidate genes with similar functional enrichment, whereas the CLR approach identified 6,410 selective sweep regions enriched for axon guidance and cell-adhesion pathways. The iHS analysis highlighted candidate regions containing LDB2 and DCHS2, which overlap reported milk production QTLs, together with haemoglobin-related genes. Fourteen candidate genes consistently identified by π, Tajima's D, iHS and CLR analyses, represent the most robust candidate loci associated with the genetic architecture of the Jaunpuri goat. These genes are known to be involved in mammary gland development, lactation and reproductive biology. Their detection may reflect historical or ongoing selection for enhanced milk production and reproductive performance in Jaunpuri goats.
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