scholarly journals Estimating chromosomal genetic diversity of Kuchinoshima feral cattle using high density SNP chip

2016 ◽  
Vol 87 (3) ◽  
pp. 219-226 ◽  
Author(s):  
Yuya SAITO ◽  
Sinji SASAZAKI ◽  
Takeshi SHIMOGIRI ◽  
Ichiro OSHIMA ◽  
Kiyomi KATAHIRA ◽  
...  
BMC Genetics ◽  
2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Luiz F. Brito ◽  
John C. McEwan ◽  
Stephen P. Miller ◽  
Natalie K. Pickering ◽  
Wendy E. Bain ◽  
...  

Genetics ◽  
2021 ◽  
Author(s):  
Xiaoshen Yin ◽  
Dennis Hedgecock

Abstract Understanding the genetic bases of inbreeding depression, heterosis, and genetic load is integral to understanding how genetic diversity is maintained in natural populations. The Pacific oyster Crassostrea gigas, like many long-lived plants, has high fecundity and high early mortality (type-III survivorship), manifesting a large, overt, genetic load; the oyster harbors an even greater concealed genetic load revealed by inbreeding. Here, we map viability QTL (vQTL) in six interrelated F2 oyster families, using high-density linkage maps of single nucleotide polymorphisms generated by genotyping-by-sequencing (GBS) methods. Altogether, we detect 70 vQTL and provisionally infer 89 causal mutations, 11 to 20 per family. Genetic mortality caused by independent (unlinked) vQTL ranges from 94.2% to 97.8% across families, consistent with previous reports. High-density maps provide better resolution of genetic mechanisms, however. Models of one causal mutation present in both identical-by-descent (IBD) homozygotes and heterozygotes fit genotype frequencies at 37 vQTL; consistent with the mutation-selection balance theory of genetic load, 20 are highly deleterious, completely recessive mutations and 17 are less deleterious, partially dominant mutations. Another 22 vQTL require pairs of recessive or partially dominant causal mutations, half showing selection against recessive mutations linked in repulsion, producing pseudo-overdominance. Only eight vQTL appear to support the overdominance theory of genetic load, with deficiencies of both IBD homozygotes, but at least four of these are likely caused by pseudo-overdominance. Evidence for epistasis is absent. A high mutation rate, random genetic drift, and pseudo-overdominance may explain both the oyster’s extremely high genetic diversity and a high genetic load maintained primarily by mutation-selection balance.


BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Guilherme B. Neumann ◽  
Paula Korkuć ◽  
Danny Arends ◽  
Manuel J. Wolf ◽  
Katharina May ◽  
...  

Abstract Background German Black Pied cattle (DSN) are an endangered dual-purpose breed which was largely replaced by Holstein cattle due to their lower milk yield. DSN cattle are kept as a genetic reserve with a current herd size of around 2500 animals. The ability to track sequence variants specific to DSN could help to support the conservation of DSN’s genetic diversity and to provide avenues for genetic improvement. Results Whole-genome sequencing data of 304 DSN cattle were used to design a customized DSN200k SNP chip harboring 182,154 variants (173,569 SNPs and 8585 indels) based on ten selection categories. We included variants of interest to DSN such as DSN unique variants and variants from previous association studies in DSN, but also variants of general interest such as variants with predicted consequences of high, moderate, or low impact on the transcripts and SNPs from the Illumina BovineSNP50 BeadChip. Further, the selection of variants based on haplotype blocks ensured that the whole-genome was uniformly covered with an average variant distance of 14.4 kb on autosomes. Using 300 DSN and 162 animals from other cattle breeds including Holstein, endangered local cattle populations, and also a Bos indicus breed, performance of the SNP chip was evaluated. Altogether, 171,978 (94.31%) of the variants were successfully called in at least one of the analyzed breeds. In DSN, the number of successfully called variants was 166,563 (91.44%) while 156,684 (86.02%) were segregating at a minor allele frequency > 1%. The concordance rate between technical replicates was 99.83 ± 0.19%. Conclusion The DSN200k SNP chip was proved useful for DSN and other Bos taurus as well as one Bos indicus breed. It is suitable for genetic diversity management and marker-assisted selection of DSN animals. Moreover, variants that were segregating in other breeds can be used for the design of breed-specific customized SNP chips. This will be of great value in the application of conservation programs for endangered local populations in the future.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Anupama Mukherjee ◽  
Sabyasachi Mukherjee ◽  
Rajan Dhakal ◽  
Moonmoon Mech ◽  
Imsusosang Longkumer ◽  
...  

2018 ◽  
Vol 53 (6) ◽  
pp. 717-726 ◽  
Author(s):  
Michel Marques Farah ◽  
Marina Rufino Salinas Fortes ◽  
Matthew Kelly ◽  
Laercio Ribeiro Porto-Neto ◽  
Camila Tangari Meira ◽  
...  

Abstract: The objective of this work was to evaluate the effects of genomic information on the genetic evaluation of hip height in Brahman cattle using different matrices built from genomic and pedigree data. Hip height measurements from 1,695 animals, genotyped with high-density SNP chip or imputed from 50 K high-density SNP chip, were used. The numerator relationship matrix (NRM) was compared with the H matrix, which incorporated the NRM and genomic relationship (G) matrix simultaneously. The genotypes were used to estimate three versions of G: observed allele frequency (HGOF), average minor allele frequency (HGMF), and frequency of 0.5 for all markers (HG50). For matrix comparisons, animal data were either used in full or divided into calibration (80% older animals) and validation (20% younger animals) datasets. The accuracy values for the NRM, HGOF, and HG50 were 0.776, 0.813, and 0.594, respectively. The NRM and HGOF showed similar minor variances for diagonal and off-diagonal elements, as well as for estimated breeding values. The use of genomic information resulted in relationship estimates similar to those obtained based on pedigree; however, HGOF is the best option for estimating the genomic relationship matrix and results in a higher prediction accuracy. The ranking of the top 20% animals was very similar for all matrices, but the ranking within them varies depending on the method used.


Crop Science ◽  
2020 ◽  
Vol 60 (2) ◽  
pp. 779-787 ◽  
Author(s):  
Karla Jorge Silva ◽  
Claudia Teixeira Guimarães ◽  
José Henrique Soler Guilhen ◽  
Paulo Evaristo de Oliveira Guimarães ◽  
Sidney Netto Parentoni ◽  
...  

2017 ◽  
Vol 8 ◽  
Author(s):  
Zhangxiong Liu ◽  
Huihui Li ◽  
Zixiang Wen ◽  
Xuhong Fan ◽  
Yinghui Li ◽  
...  

2016 ◽  
Vol 94 (suppl_4) ◽  
pp. 133-133
Author(s):  
K. S. Kim ◽  
Z. Edea ◽  
J. K. Hong ◽  
Y. C. Jung ◽  
E. S. Kim ◽  
...  

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