scholarly journals Novel and known signals of selection for fat deposition in domestic sheep breeds from Africa and Eurasia

2018 ◽  
Author(s):  
Salvatore Mastrangelo ◽  
Hussain Bahbahani ◽  
Bianca Moioli ◽  
Abulgasim Ahbara ◽  
Mohammed Al Abri ◽  
...  
Keyword(s):  
Fat Deposition ◽  
Domestic Sheep ◽  
Selection Signatures ◽  
Selection Signature ◽  
Sheep Breeds ◽  
Fat Tail ◽  
Genome Wide ◽  
Geographic Origins ◽  
Genomic Regions ◽  
Great Complexity

Genomic regions subjected to selection frequently show signatures such as within-population reduced nucleotide diversity and outlier values of differentiation among differentially selected populations. In this study, we analyzed 50K SNP genotype data of 373 animals belonging to 23 sheep breeds of different geographic origins using the Rsb and FST statistical approaches, to identify loci associated with the fat-tail phenotype. We also checked if these putative selection signatures overlapped with regions of high-homozygosity (ROH). The analyses identified novel signals and confirmed the presence of selection signature in genomic regions that harbor candidate genes known to affect fat deposition. Several genomic regions that frequently appeared in ROH were also identified within each breed, but only two ROH islands overlapped with the putative selection signatures. The results reported herein provide the most complete genome-wide study of selection signatures for fat-tail in African and Eurasian sheep breeds; they also contribute insights into the genetic basis for the fat tail phenotype in sheep, and confirm the great complexity of the mechanisms that underlie quantitative traits, such as the fat-tail.

scholarly journals Genome-Wide Association Study and Selection Signatures Detect Genomic Regions Associated with Seed Yield and Oil Quality in Flax

2018 ◽  
Vol 19 (8) ◽  
pp. 2303 ◽  
Author(s):  
Frank You ◽  
Jin Xiao ◽  
Pingchuan Li ◽  
Zhen Yao ◽  
Gaofeng Jia ◽  
...  
Keyword(s):  
Association Study ◽  
Seed Yield ◽  
Phenotypic Variation ◽  
Genome Wide Association Study ◽  
Oil Quality ◽  
Genome Wide Association ◽  
Selection Signatures ◽  
Genome Wide ◽  
A Genome ◽  
Genomic Regions

A genome-wide association study (GWAS) was performed on a set of 260 lines which belong to three different bi-parental flax mapping populations. These lines were sequenced to an averaged genome coverage of 19× using the Illumina Hi-Seq platform. Phenotypic data for 11 seed yield and oil quality traits were collected in eight year/location environments. A total of 17,288 single nucleotide polymorphisms were identified, which explained more than 80% of the phenotypic variation for days to maturity (DTM), iodine value (IOD), palmitic (PAL), stearic, linoleic (LIO) and linolenic (LIN) acid contents. Twenty-three unique genomic regions associated with 33 quantitative trait loci (QTL) for the studied traits were detected, thereby validating four genomic regions previously identified. The 33 QTL explained 48–73% of the phenotypic variation for oil content, IOD, PAL, LIO and LIN but only 8–14% for plant height, DTM and seed yield. A genome-wide selective sweep scan for selection signatures detected 114 genomic regions that accounted for 7.82% of the flax pseudomolecule and overlapped with the 11 GWAS-detected genomic regions associated with 18 QTL for 11 traits. The results demonstrate the utility of GWAS combined with selection signatures for dissection of the genetic structure of traits and for pinpointing genomic regions for breeding improvement.

scholarly journals Dissection of soybean populations according to selection signatures based on whole-genome sequences

GigaScience ◽  
2019 ◽  
Vol 8 (12) ◽  
Author(s):  
Jae-Yoon Kim ◽  
Seongmun Jeong ◽  
Kyoung Hyoun Kim ◽  
Won-Jun Lim ◽  
Ho-Yeon Lee ◽  
...  
Keyword(s):  
Seed Development ◽  
Soybean Cyst Nematode ◽  
Agronomic Traits ◽  
Cyst Nematode ◽  
Wild Type ◽  
Selection Signatures ◽  
Genetic Traits ◽  
Genome Wide ◽  
Core Set ◽  
Genomic Regions

Abstract Background Domestication and improvement processes, accompanied by selections and adaptations, have generated genome-wide divergence and stratification in soybean populations. Simultaneously, soybean populations, which comprise diverse subpopulations, have developed their own adaptive characteristics enhancing fitness, resistance, agronomic traits, and morphological features. The genetic traits underlying these characteristics play a fundamental role in improving other soybean populations. Results This study focused on identifying the selection signatures and adaptive characteristics in soybean populations. A core set of 245 accessions (112 wild-type, 79 landrace, and 54 improvement soybeans) selected from 4,234 soybean accessions was re-sequenced. Their genomic architectures were examined according to the domestication and improvement, and accessions were then classified into 3 wild-type, 2 landrace, and 2 improvement subgroups based on various population analyses. Selection and gene set enrichment analyses revealed that the landrace subgroups have selection signals for soybean-cyst nematode HG type 0 and seed development with germination, and that the improvement subgroups have selection signals for plant development with viability and seed development with embryo development, respectively. The adaptive characteristic for soybean-cyst nematode was partially underpinned by multiple resistance accessions, and the characteristics related to seed development were supported by our phenotypic findings for seed weights. Furthermore, their adaptive characteristics were also confirmed as genome-based evidence, and unique genomic regions that exhibit distinct selection and selective sweep patterns were revealed for 13 candidate genes. Conclusions Although our findings require further biological validation, they provide valuable information about soybean breeding strategies and present new options for breeders seeking donor lines to improve soybean populations.

Using soybean pedigrees to identify genomic selection signatures associated with long-term breeding for cultivar improvement

2018 ◽  
Vol 98 (5) ◽  
pp. 1176-1187 ◽  
Author(s):  
Christopher M. Grainger ◽  
Jocelyne Letarte ◽  
Istvan Rajcan
Keyword(s):  
In Silico Analysis ◽  
Selection Signatures ◽  
Selection Signature ◽  
Breeding Lines ◽  
Genomic Regions ◽  
Elite Breeding Lines ◽  
Silico Analysis ◽  
Simple Sequence ◽  
Introgressive Breeding

Genetic hitchhiking methods used to uncover selection signatures related to traits of agronomic importance in crops have primarily been used at the level of domestication by comparing groups of wild germplasm to landraces or elite breeding lines. In this study, two groups of cultivars defined by an elite Canadian soybean cultivar, ‘OAC Bayfield’, were compared to identify selection signatures related to long-term breeding within a specific region. Cultivars were assigned to either a pre- or post-OAC Bayfield group. Of the 162 simple sequence repeat markers used to genotype members of the pedigree, 14 were fixed and 19 exhibited a selective signature. An in silico analysis compared the results in this study to quantitative trait loci (QTL) reported in SoyBase and showed that 18 out of the 19 markers with a selective signature were associated with at least one QTL. From the 80 QTL associated with the 18 markers, half were related to plant architecture, yield, or maturity. In addition, the number and type of QTL associated with the fixed versus selected loci differed, particularly for yield. Genomic regions exhibiting a selection signature may contain important loci that either need to be conserved for agronomic performance or be targeted for introgressive breeding and germplasm enrichment.

scholarly journals Genome-wide scans for detecting the selection signature of the Jeju-island native pig in Korea

2020 ◽  
Vol 33 (4) ◽  
pp. 539-546
Author(s):  
Young-Sup Lee ◽  
Donghyun Shin ◽  
Kyeong-Hye Won ◽  
Dae Cheol Kim ◽  
Sang Chul Lee ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Linkage Disequilibrium ◽  
Population Differentiation ◽  
Cellular Response ◽  
Jeju Island ◽  
Selection Signatures ◽  
Selection Signature ◽  
Genome Wide ◽  
Yorkshire Pigs ◽  
Gene Ontologies

Objective: The Jeju native pig (JNP) found on the Jeju Island of Korea is a unique black pig known for high-quality meat. To investigate the genetic uniqueness of JNP, we analyzed the selection signature of the JNP in comparison to commercial pigs such as Berkshire and Yorkshire pigs.Methods: We surveyed the genetic diversity to identify the genetic stability of the JNP, using the linkage disequilibrium method. A selective sweep of the JNP was performed to identify the selection signatures. To do so, the population differentiation measure, Weir-Cockerham’s F<sub>st</sub> was utilized. This statistic directly measures the population differentiation at the variant level. Additionally, we investigated the gene ontologies (GOs) and genetic features.Results: Compared to the Berkshire and Yorkshire pigs, the JNP had lower genetic diversity in terms of linkage disequilibrium decays. We summarized the selection signatures of the JNP as GO. In the JNP and Berkshire pigs, the most enriched GO terms were epithelium development and neuron-related. Considering the JNP and Yorkshire pigs, cellular response to oxygen-containing compound and generation of neurons were the most enriched GO.Conclusion: The selection signatures of the JNP were identified through the population differentiation statistic. The genes with possible selection signatures are expected to play a role in JNP’s unique pork quality.

scholarly journals Genomic scan of selective sweeps in thin and fat tail sheep breeds for identifying of candidate regions associated with fat deposition

BMC Genetics ◽  
2012 ◽  
Vol 13 (1) ◽  
pp. 10 ◽  
Author(s):  
Mohammad Hossein Moradi ◽  
Ardeshir Nejati-Javaremi ◽  
Mohammad Moradi-Shahrbabak ◽  
Ken G Dodds ◽  
John C McEwan
Keyword(s):  
Fat Deposition ◽  
Selective Sweeps ◽  
Sheep Breeds ◽  
Fat Tail ◽  
Candidate Regions

scholarly journals Genome-Wide Association Study and Selection Signatures Detect Genomic Regions Associated with Seed Yield and Oil Quality in Flax

2018 ◽  
Author(s):  
Frank You ◽  
Jin Xiao ◽  
Pingchuan Li ◽  
Zhen Yao ◽  
Gaofeng Jia ◽  
...  
Keyword(s):  
Association Study ◽  
Seed Yield ◽  
Phenotypic Variation ◽  
Genome Wide Association Study ◽  
Oil Quality ◽  
Genome Wide Association ◽  
Selection Signatures ◽  
Genome Wide ◽  
A Genome ◽  
Genomic Regions

A genome-wide association study (GWAS) was performed on a set of 260 lines which belong to three different bi-parental flax mapping populations. These lines were sequenced to an averaged genome coverage of 19&times; using the Illumina Hi-Seq platform. Phenotypic data for 11 seed yield and oil quality traits were collected in eight year/location environments. A total of 17,288 single nucleotide polymorphisms were identified, which explained more than 80% of the phenotypic variation for days to maturity (DTM), iodine value (IOD), palmitic (PAL), stearic, linoleic (LIO) and linolenic (LIN) acid contents. Twenty-three unique genomic regions associated with 33 QTL for the studied traits were detected, thereby validating four genomic regions previously identified. The 33 QTL explained 48-73% of the phenotypic variation for oil content, IOD, PAL, LIO and LIN but only 8-14% for plant height, DTM and seed yield. A genome-wide selective sweep scan for selection signatures detected 114 genomic regions that accounted for 7.82% of the flax pseudomolecule and overlapped with the 11 GWAS-detected genomic regions associated with 18 QTL for 11 traits. The results demonstrate the utility of GWAS combined with selection signatures for dissection of the genetic structure of traits and for pinpointing genomic regions for breeding improvement.

scholarly journals Genomic Uniqueness of Local Sheep Breeds From Morocco

2021 ◽  
Vol 12 ◽  
Author(s):  
Abdessamad Ouhrouch ◽  
Simon Boitard ◽  
Frédéric Boyer ◽  
Bertrand Servin ◽  
Anne Da Silva ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Demographic History ◽  
Large Set ◽  
Whole Genome ◽  
Selection Signatures ◽  
Effective Population ◽  
High Genetic Diversity ◽  
Sheep Breeds ◽  
Genome Data ◽  
Genomic Regions

Sheep farming is a major source of meat in Morocco and plays a key role in the country’s agriculture. This study aims at characterizing the whole-genome diversity and demographic history of the main Moroccan sheep breeds, as well as to identify selection signatures within and between breeds. Whole genome data from 87 individuals representing the five predominant local breeds were used to estimate their level of neutral genetic diversity and to infer the variation of their effective population size over time. In addition, we used two methods to detect selection signatures: either for detecting selective sweeps within each breed separately or by detecting differentially selected regions by contrasting different breeds. We identified hundreds of genomic regions putatively under selection, which related to several biological terms involved in local adaptation or the expression of zootechnical performances such as Growth, UV protection, Cell maturation or Feeding behavior. The results of this study revealed selection signatures in genes that have an important role in traits of interest and increased our understanding of how genetic diversity is distributed in these local breeds. Thus, Moroccan local sheep breeds exhibit both a high genetic diversity and a large set of adaptive variations, and therefore, represent a valuable genetic resource for the conservation of sheep in the context of climate change.

scholarly journals Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle

2021 ◽  
Vol 12 ◽  
Author(s):  
Slim Ben-Jemaa ◽  
Gabriele Senczuk ◽  
Elena Ciani ◽  
Roberta Ciampolini ◽  
Gennaro Catillo ◽  
...  
Keyword(s):  
Muscle Development ◽  
Single Nucleotide Polymorphism Array ◽  
Reference Population ◽  
Selection Signatures ◽  
Genomic Signatures ◽  
Genome Wide ◽  
Parasite Infections ◽  
Breeding Schemes ◽  
Candidate Regions ◽  
Genomic Regions

The Maremmana cattle is an ancient Podolian-derived Italian breed raised in semi-wild conditions with distinctive morphological and adaptive traits. The aim of this study was to detect potential selection signatures in Maremmana using medium-density single nucleotide polymorphism array. Putative selection signatures were investigated combining three statistical approaches designed to quantify the excess of haplotype homozygosity either within (integrated haplotype score, iHS) or among pairs of populations (Rsb and XP-EHH), and contrasting the Maremmana with a single reference population composed of a pool of seven Podolian-derived Italian breeds. Overall, the three haplotype-based analyses revealed selection signatures distributed over 19 genomic regions. Of these, six relevant candidate regions were identified by at least two approaches. We found genomic signatures of selective sweeps spanning genes related to mitochondrial function, muscle development, growth, and meat traits (SCIN, THSD7A, ETV1, UCHL1, and MYOD1), which reflects the different breeding schemes between Maremmana (semi-wild conditions) and the other Podolian-derived Italian breeds (semi-extensive). We also identified several genes linked to Maremmana adaptation to the environment of the western-central part of Italy, known to be hyperendemic for malaria and other tick-borne diseases. These include several chemokine (C-C motif) ligand genes crucially involved in both innate and adaptive immune responses to intracellular parasite infections and other genes playing key roles in pulmonary disease (HEATR9, MMP28, and ASIC2) or strongly associated with malaria resistance/susceptibility (AP2B1). Our results provide a glimpse into diverse selection signatures in Maremmana cattle and can be used to enhance our understanding of the genomic basis of environmental adaptation in cattle.

scholarly journals Novel and known signals of selection for fat deposition in domestic sheep breeds from Africa and Eurasia

PLoS ONE ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. e0209632 ◽  
Author(s):  
Salvatore Mastrangelo ◽  
Hussain Bahbahani ◽  
Bianca Moioli ◽  
Abulgasim Ahbara ◽  
Mohammed Al Abri ◽  
...  
Keyword(s):  
Fat Deposition ◽  
Domestic Sheep ◽  
Sheep Breeds ◽  
Selection For
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