• Title/Summary/Keyword: quantitative trait

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Current Research Status for Economically Important Candidate Genes and Microarray Studies in Cattle (소의 경제형질 관련 후보 유전자 및 Microarray 연구현황)

  • 유성란;이준헌
    • Journal of Animal Science and Technology
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    • v.48 no.2
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    • pp.169-190
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    • 2006
  • Researches in livestock are currently actively progressing to improve economically important traits using DNA markers. In cattle, the candidate genes have been selected based on their known functions in the target QTL (quantitative trait locus) region in order to identify QTN (quantitative trait nucleotide) for improving productivities. In this review, molecular genetic studies for the meat related traits, one of the major determinant of market prices, have been fully described. Also recent emerging microarray technique for identifying candidate genes in cattle has been discussed. In case of microarray, cDNA microarrays have been replaced to oligoarrays in order to minimize the experimental errors in cattle. Since the first draft of bovine genome sequences was appeared in the public domain, more markers in relation to the quantitative traits will be discovered in a short period of time and genes affecting difficult-to-measure traits, such as disease resistance, can also be selected for marker assisted selection in near future.

Detection of Imprinted Quantitative Traits Loci (QTL) for Reproductive and Growth Traits in Region of IGF II Gene on fig Chromosome (돼지 염색체상의 IGF II 유전자 인접 부위에서 번식 및 성장형질에 연관된 Imprinting 양적형질 유전자 좌위(QTL)의 탐색)

  • Lee, Hakkyo
    • Korean Journal of Animal Reproduction
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    • v.25 no.4
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    • pp.295-304
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    • 2001
  • Characterization of quantitative trait loci (QTL) was investigated in the experimental crosses between Berkshire and Yorkshire breed. A total of 525 F$_2$ progenies from 65 matting of F$_1$ Parents were produced. Phenotypic measurements included average daily gain (ADG), average back fat thickness (ABF), and loin eye area (LEA). To identify the presence of QTL for reproductive performance, birth weight (BWT) and body weight at 16 days (16DAY) were included as indirect trait. QTL segregation was deduced using 8 markers assigned to chromosome 2 (SSC2). Quantitative trait locus analyses were performed using interval mapping by regression under line-cross model. Presence of imprinting was tested under the statistical model that separated the expression of paternally and maternally inherited alleles. To set the evidence of QTL presence, significance thresholds were derived by permutation following statistical tests, respectively. Genome scan revealed significant evidence for three quantitative trait loci (QTL) affecting growth and body compositions, of which two were identified to be QTL with imprinting expression mode near the ICF II gene region. For average back fat thickness (ABF), a paternally expressed QTL was found on chromosome 2 (SSC2). A paternally expressed QTL affecting loin eye area (LEA) was found in the region of SSC2 where evidence of imprinted QTL was found for average back fat thickness (ABF). For average daily gain (ADG), QTL expressed with Mendelian mode was found on chromosome 2 (SS2). Also, QTL affecting average daily gain (ADC), was identified to be expressed with Mendelian express mode.

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Genetic Variation of a Single Pollen-derived Doubled Haploid Population in Rice

  • Moon, Huhn-Pal;Kang, Kyung-Ho;Ahn, Sang-Nag;Choi, Seon-Hee
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.43 no.4
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    • pp.250-253
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    • 1998
  • Somaclonal variation was observed in the field on doubled haploid plants derived from single pollen of a rice cultivar "Hwaseongbyeo". The variations of seven quantitative traits including plant height and one qualitative trait (pubescence) in 436 lines ($R_2$ generation) were analyzed. The number of lines which fell beyond the boundaries of the 95% confidence intervals of the check variety, Hwaseongbyeo was checked for each quantitative trait, and of those fertility showed the highest variation frequency (85.6%), followed by plant height (77.5%), flag leaf length (66.5%), grains per panicle (42.2%), days to heading (34.5%), panicle length (30.7%) and panicles per hill (22.7%). And the variations of quantitative traits except days to flowering appeared to move in the negative direction compared to "Hwaseongbyeo". Variability within lines was also observed for quantitative and qualitative traits. Twenty-nine $R_2$ lines (7%) segregated for pubescence and 130 $R_2$ lines (30%) showed variation with regard to fertility. This suggests that mutations usually occur before diploidization. Twenty-nine $R_2$ lines representing a wide spectrum of variation were chosen for RAPD analysis. The number of lines showing DNA polymorphism compared to Hwaseongbyeo ranged 0 from to 10 according to the primer used and this seems to indicate that specific loci have highly mutable genomic site.utable genomic site.

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Mapping of grain alkali digestion trait using a Cheongcheong/Nagdong doubled haploid population in rice

  • Kim, Hak Yoon;Kim, Kyung-Min
    • Journal of Plant Biotechnology
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    • v.43 no.1
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    • pp.76-81
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    • 2016
  • We performed a molecular marker-based analysis of quantitative trait loci for traits that determine the quality of appearance of grains using 120 doubled haploid lines developed by anther culture from the F1 cross between 'Cheongcheong' (Oryza sativa L. ssp. Indica) and 'Nagdong' (Oryza sativa L. ssp. Japonica). We therefore calculated the alkali digestion value (ADV), used to indirectly measure gelatinization temperature, to evaluate the quality of cooked rice in 2013 and 2014. The ADV score of frequency distribution was higher milled rice than brown rice. In total, nine different quantitative trait loci (QTLs) were found on 5 chromosomes in 2013 and 2014. Also, chromosome 5, 8 were detected over two years. We conclude that selected molecular markers from this QTL analysis could be exploited in future rice quality. In conclusion, we investigated ADV of brown and milled rice in CNDH population. This study found nine QTLs related to the ADV of brown and milled rice. The detected one marker can be used to select lines with desirable eating-quality traits because ADV is closely associated with the eating quality of cooked rice. Therefore, it will be useful to collect resources and distinguishable in many varieties for rice breeding program.

Quantitative Trait Locus and Association Studies affecting Meat Colors in Chicken : Review (닭의 육질 개량을 위한 육색 관련 양적형질좌위 및 연관마커에 관한 고찰: 총설)

  • Seo, Dongwon;Lee, Jun Heon
    • Korean Journal of Poultry Science
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    • v.42 no.4
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    • pp.315-325
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    • 2015
  • Recently, livestock breeding is more focused on the meat quality rather than meat quantity, mainly due to the improvement of consumers' income. Among the meat quality traits, meat color is one of very important traits because meat color is the first selection criterion from the consumers in the market. Most of the economically important traits have continuous variations and these are called quantitative traits. the genomic locations affecting these traits are called quantitative trait locus (QTL), which is mostly controlled by many genes having small effects. In this study, the recent QTL and candidate gene studies were reviewed in order to meet the consumers' demand for the future market. In the chicken QTL database, three traits are related with meat colors, namely breast color (Bco), meat color (Mco), drip loss (DL) and pH. The identified number of QTLs is 33 from 13 chromosomal regions. In these QTL regions, 14 candidate genes were identified; Eight for meat color (APP, BCMO1, COL1A2, FTO, KPNA2, PSMD12, G0S2, FTSJ3), two for drip loss (AGRP, FTO) and four for pH (GALNT1, PCDH19, DIAPH1, SPP2). These QTLs and candidate genes need to be confirmed and fine mapping is ultimately needed for identification of causative variations. The recently developed chicken resource population using Korean native chicken can be used for the improvement of meat quality traits, which increase the value that needed in the chicken industry.

Methodology of Mapping Quantitative Trait Loci for Binary Traits in a Half-sib Design Using Maximum Likelihood

  • Yin, Zongjun;Zhang, Qin;Zhang, Jigang;Ding, Xiangdong;Wang, Chunkao
    • Asian-Australasian Journal of Animal Sciences
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    • v.18 no.12
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    • pp.1669-1674
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    • 2005
  • Maximum likelihood methodology was applied to analyze the efficiency and statistical power of interval mapping by using a threshold model. The factors that affect QTL detection efficiency (e.g. QTL effect, heritability and incidence of categories) were simulated in our study. Daughter design with multiple families was applied, and the size of segregating population is 500. The results showed that the threshold model has a great advantage in parameters estimation and power of QTL mapping, and has nice efficiency and accuracy for discrete traits. In addition, the accuracy and power of QTL mapping depended on the effect of putative quantitative trait loci, the value of heritability and incidence directly. With the increase of QTL effect, heritability and incidence of categories, the accuracy and power of QTL mapping improved correspondingly.

Genotype Profiles for the Quantitative Trait Related to Milk Composition in Bulls Used for Artificial Insemination in India

  • Mukhopadhyaya, P.N.;Mehta, H.H.
    • Asian-Australasian Journal of Animal Sciences
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    • v.15 no.3
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    • pp.326-329
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    • 2002
  • A population of exotic Holstein Friesian, Jersey, their crossbreds and the indigenous Murrah breed of buffalo bulls (n=486), used in artificial insemination breeding program were screened for the allelic distribution of the ${\kappa}$-casein and ${\beta}$-lactoglobulin genotypes. The preferred "B" allele frequency was highest in Murrah buffalo bulls followed by Jersey and Holstein Friesian. The increase in this particular allele frequency in the Holstein Friesian crossbred bulls was more when compared to their Jersey counterparts. Hardy-Weinberg's equilibrium was maintained albeit with some deviations, which was higher in crossbreds than in purebreds. The feasibility of using such large-scale molecular diagnostic tools in the field and their significance with regards to the dairy economy is discussed.

Understanding Disease Susceptibility through Population Genomics

  • Han, Seonggyun;Lee, Junnam;Kim, Sangsoo
    • Genomics & Informatics
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    • v.10 no.4
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    • pp.234-238
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    • 2012
  • Genetic epidemiology studies have established that the natural variation of gene expression profiles is heritable and has genetic bases. A number of proximal and remote DNA variations, known as expression quantitative trait loci (eQTLs), that are associated with the expression phenotypes have been identified, first in Epstein-Barr virus-transformed lymphoblastoid cell lines and later expanded to other cell and tissue types. Integration of the eQTL information and the network analysis of transcription modules may lead to a better understanding of gene expression regulation. As these network modules have relevance to biological or disease pathways, these findings may be useful in predicting disease susceptibility.

Genome scan linkage analysis identifies a major quantitative trait loci for fatty acid composition in longissimus dorsi muscle in an F2 intercross between Landrace and Korean native pigs

  • Park, Hee-Bok;Han, Sang-Hyun;Yoo, Chae-Kyoung;Lee, Jae-Bong;Kim, Ji-Hyang;Baek, Kwang-Soo;Son, Jun-Kyu;Shin, Sang-Min;Lim, Hyun-Tae;Cho, In-Cheol
    • Asian-Australasian Journal of Animal Sciences
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    • v.30 no.8
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    • pp.1061-1065
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    • 2017
  • Objective: This study was conducted to locate quantitative trait loci (QTL) influencing fatty acid (FA) composition in a large $F_2$ intercross between Landrace and Korean native pigs. Methods: Eighteen FA composition traits were measured in more than 960 $F_2$ progeny. All experimental animals were genotyped with 165 microsatellite markers located throughout the pig autosomes. Results: We detected 112 QTLs for the FA composition; Forty seven QTLs reached the genome-wide significant threshold. In particular, we identified a cluster of highly significant QTLs for FA composition on SSC12. QTL for polyunsaturated fatty acid on pig chromosome 12 (F-value = 97.2 under additive and dominance model, nominal p-value $3.6{\times}10^{-39}$) accounted for 16.9% of phenotypic variance. In addition, four more QTLs for C18:1, C18:2, C20:4, and monounsaturated fatty acids on the similar position explained more than 10% of phenotypic variance. Conclusion: Our findings of a major QTL for FA composition presented here could provide helpful information to locate causative variants to improve meat quality traits in pigs.