Literature DB >> 35771345

Exploration of allelic variants in short tandem repeats (STRs) flanking milk production QTLs and their association with milk production traits in Indian water buffaloes.

A Vani1, Subodh Kumar2, Sanjeev Kumar3, Anuj Chauhan1, Nihar Ranjan Sahoo4, Med Ram Verma5, A K S Tomar6, Pushpendra Kumar1.   

Abstract

Short tandem repeats (STRs) are co-dominant, highly polymorphic marker loci, distributed throughout the genome and useful for identification and mapping of QTLs associated with variation in traits of economic significance. Allelic variants were identified in STRs located in close vicinity of cattle QTLs for milk production,, viz. BMS713, BM6404, BM4513, BM121, BM6105, TGLA245, BL1100, BMS1948, BMS711, BM1443, BM1706, BM6438, BM143, BM415, ETH131, ETH 2, and BM1329 in 109 water buffaloes of Murrah breed. All loci except TGLA245 exhibited polymorphism of varying degree. The observed number of alleles, effective number of alleles, PIC value, observed heterozygosity, and expected heterozygosity across all STR loci averaged 4.12 ± 0.22, 3.20 ± 0.22, 0.60 ± 0.04, 0.34 ± 0.05, and 0.66 ± 0.03, respectively. Goodness of fit (chi-square) and likelihood ratio (G square) test demonstrated that the population exhibited a deviation from HWE for all the loci. FIS was positive and ranged from 0.22 to 1.00. Least square analysis of variance exhibited significant effects of BM4513, ETH131, BM713, and BM6105 on first lactational total lactation milk yield, 305-day milk yield, lactation length, and dry period respectively. None of the STRs could exhibit significant effect on peak yield.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Buffalo; MetaPhor agarose; Microsatellite; Milk yield; Production; QTL; STR

Mesh:

Year:  2022        PMID: 35771345     DOI: 10.1007/s11250-022-03215-6

Source DB:  PubMed          Journal:  Trop Anim Health Prod        ISSN: 0049-4747            Impact factor:   1.893


  16 in total

1.  Detection of QTL for milk production traits in cattle by application of a specifically developed marker map of BTA6.

Authors:  C Kühn; G Freyer; R Weikard; T Goldammer; M Schwerin
Journal:  Anim Genet       Date:  1999-10       Impact factor: 3.169

2.  Prediction of total genetic value using genome-wide dense marker maps.

Authors:  T H Meuwissen; B J Hayes; M E Goddard
Journal:  Genetics       Date:  2001-04       Impact factor: 4.562

3.  A set of cattle microsatellite DNA markers for genome analysis of riverine buffalo (Bubalus bubalis).

Authors:  N Navani; P K Jain; S Gupta; B S Sisodia; S Kumar
Journal:  Anim Genet       Date:  2002-04       Impact factor: 3.169

4.  Detection of quantitative trait loci affecting milk production traits on bovine chromosome 6 in a Chinese Holstein population by the daughter design.

Authors:  H Y Chen; Q Zhang; C C Yin; C K Wang; W J Gong; G Mei
Journal:  J Dairy Sci       Date:  2006-02       Impact factor: 4.034

5.  Detection of putative loci affecting milk production and composition, health, and type traits in a United States Holstein population.

Authors:  M S Ashwell; Y Da; C P Van Tassell; P M Vanraden; R H Miller; C E Rexroad
Journal:  J Dairy Sci       Date:  1998-12       Impact factor: 4.034

6.  A second-generation linkage map of the bovine genome.

Authors:  S M Kappes; J W Keele; R T Stone; R A McGraw; T S Sonstegard; T P Smith; N L Lopez-Corrales; C W Beattie
Journal:  Genome Res       Date:  1997-03       Impact factor: 9.043

7.  A whole genome scan for quantitative trait loci affecting milk protein percentage in Israeli-Holstein cattle, by means of selective milk DNA pooling in a daughter design, using an adjusted false discovery rate criterion.

Authors:  M O Mosig; E Lipkin; G Khutoreskaya; E Tchourzyna; M Soller; A Friedmann
Journal:  Genetics       Date:  2001-04       Impact factor: 4.562

8.  Mapping quantitative trait loci controlling milk production in dairy cattle by exploiting progeny testing.

Authors:  M Georges; D Nielsen; M Mackinnon; A Mishra; R Okimoto; A T Pasquino; L S Sargeant; A Sorensen; M R Steele; X Zhao
Journal:  Genetics       Date:  1995-02       Impact factor: 4.562

9.  A comprehensive genetic map of the cattle genome based on 3802 microsatellites.

Authors:  Naoya Ihara; Akiko Takasuga; Kazunori Mizoshita; Haruko Takeda; Mayumi Sugimoto; Yasushi Mizoguchi; Takashi Hirano; Tomohito Itoh; Toshio Watanabe; Kent M Reed; Warren M Snelling; Steven M Kappes; Craig W Beattie; Gary L Bennett; Yoshikazu Sugimoto
Journal:  Genome Res       Date:  2004-10       Impact factor: 9.043

Review 10.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms.

Authors:  D Botstein; R L White; M Skolnick; R W Davis
Journal:  Am J Hum Genet       Date:  1980-05       Impact factor: 11.025

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