Genome-wide insights into selection signatures for transcription factor binding sites in cattle ROH regions

被引:0
|
作者
Nayak, Sonali Sonejita [1 ]
Panigrahi, Manjit [1 ]
Dutt, Triveni [2 ]
机构
[1] ICAR Indian Vet Res Inst, Div Anim Genet, Bareilly 243122, UP, India
[2] ICAR Indian Vet Res Inst, Livestock Prod & Management Sect, Bareilly 243122, UP, India
关键词
Cattle; Runs of Homozygosity (ROH); Selection signature; Transcription Factor Binding Sites (TFBS); HOMOZYGOSITY; RUNS; GENE; EXPRESSION; IDENTIFICATION; ASSOCIATION; DATABASE; LOCI; POPULATIONS; SEQUENCES;
D O I
10.1007/s00335-025-10113-3
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Runs of Homozygosity (ROH) regions are characterized by homozygous genotypes inherited from a common ancestor, often arising from positive selection for adaptive traits. These homozygous regions may arise due to inbreeding, selective breeding, or demographic events like population bottlenecks. Transcription factor binding sites (TFBS) are short, specific DNA sequences where transcription factors bind to regulate the expression of nearby genes. These sites are essential for controlling biological processes such as development, metabolism, and immune response. TFBS act as key regulatory elements, and their variations can influence gene activity, contributing to phenotypic differences and adaptation. ROH often encompass regulatory elements, including TFBS, suggesting a functional connection between these genomic features. This study investigates TFBS within ROH regions in 297 animals of six cattle breeds: Gir (48), Tharparkar (72), Vrindavani (72), Frieswal (14), Holstein Friesian (63), and Jersey (28). Utilizing genotyped data of these animals, we identified genomic regions enriched with ROH. We focused on the central 10 kb regions of 50 ROH regions common across all breeds. Within these regions, 450 motifs were examined, identifying 168 transcription factors potentially binding to these regions. The results emphasize the role of TFBS in gene regulation and adaptive processes. By linking ROH patterns to regulatory elements, this study enhances our understanding of the genetic architecture underlying phenotypic traits and their adaptation to environmental pressures. These findings provide insights into the molecular mechanisms influencing genetic variation in cattle populations.
引用
收藏
页码:541 / 556
页数:16
相关论文
共 50 条
  • [41] Genome-Wide Scanning for Signatures of Selection Revealed the Putative Genomic Regions and Candidate Genes Controlling Milk Composition and Coat Color Traits in Sahiwal Cattle
    Illa, Satish Kumar
    Mukherjee, Sabyasachi
    Nath, Sapna
    Mukherjee, Anupama
    FRONTIERS IN GENETICS, 2021, 12
  • [42] A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes
    Mahdabi, Elaheh Rostamzadeh
    Esmailizadeh, Ali
    Mehrgardi, Ahmad Ayatollahi
    Fozi, Masood Asadi
    GENETICS SELECTION EVOLUTION, 2021, 53 (01)
  • [43] Evaluation of genetic differentiation and genome-wide selection signatures in Polish local sheep breeds
    Gurgul, Artur
    Jasielczuk, Igor
    Miksza-Cybulska, Anna
    Kawecka, Aldona
    Szmatola, Tomasz
    Krupinski, Jedrzej
    LIVESTOCK SCIENCE, 2021, 251
  • [44] Genome-wide analysis of genetic diversity and selection signatures in three Indian sheep breeds
    Saravanan, K. A.
    Panigrahi, Manjit
    Kumar, Harshit
    Bhushan, Bharat
    Dutt, Triveni
    Mishra, B. P.
    LIVESTOCK SCIENCE, 2021, 243
  • [45] Genome-wide mining of diversity and evolutionary signatures revealed selective hotspots in Indian Sahiwal cattle
    Rajawat, Divya
    Ghildiyal, Kanika
    Nayak, Sonali Sonejita
    Sharma, Anurodh
    Parida, Subhashree
    Kumar, Shive
    Ghosh, A. K.
    Singh, Umesh
    Sivalingam, Jayakumar
    Bhushan, Bharat
    Dutt, Triveni
    Panigrahi, Manjit
    GENE, 2024, 901
  • [46] Genome-wide scan of selection signatures in Dehong humped cattle for heat tolerance and disease resistance
    Li, R.
    Li, C.
    Chen, H.
    Li, R.
    Chong, Q.
    Xiao, H.
    Chen, S.
    ANIMAL GENETICS, 2020, 51 (02) : 292 - 299
  • [47] A genome-wide scan for diversifying selection signatures in selected horse breeds
    Gurgul, Artur
    Jasielczuk, Igor
    Semik-Gurgul, Ewelina
    Pawlina-Tyszko, Klaudia
    Stefaniuk-Szmukier, Monika
    Szmatola, Tomasz
    Polak, Grazyna
    Tomczyk-Wrona, Iwona
    Bugno-Poniewierska, Monika
    PLOS ONE, 2019, 14 (01):
  • [48] Prediction of genome-wide effects of single nucleotide variants on transcription factor binding
    Pro, Sebastian Carrasco
    Bulekova, Katia
    Gregor, Brian
    Labadorf, Adam
    Bass, Juan Ignacio Fuxman
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [49] Genome-Wide Prediction of Transcription Start Sites in Conifers
    Bondar, Eugeniya I.
    Troukhan, Maxim E.
    Krutovsky, Konstantin V.
    Tatarinova, Tatiana V.
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (03)
  • [50] Genome-wide analysis of HMGA2 transcription factor binding sites by ChIP on chip in gastric carcinoma cells
    Zha, Lang
    Wang, Ziwei
    Tang, Weixue
    Zhang, Neng
    Liao, Gang
    Huang, Zhen
    MOLECULAR AND CELLULAR BIOCHEMISTRY, 2012, 364 (1-2) : 243 - 251