• Title/Summary/Keyword: Genetic basis

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Genetic factors influencing milk and fat yields in tropically adapted dairy cattle: insights from quantitative trait loci analysis and gene associations

  • Thawee Laodim;Skorn Koonawootrittriron;Mauricio A. Elzo;Thanathip Suwanasopee;Danai Jattawa;Mattaneeya Sarakul
    • Animal Bioscience
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    • v.37 no.4
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    • pp.576-590
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    • 2024
  • Objective: The objective of this study was to identify genes associated with 305-day milk yield (MY) and fat yield (FY) that also influence the adaptability of the Thai multibreed dairy cattle population to tropical conditions. Methods: A total of 75,776 imputed and actual single nucleotide polymorphisms (SNPs) from 2,661 animals were used to identify genomic regions associated with MY and FY using the single-step genomic best linear unbiased predictions. Fixed effects included herd-year-season, breed regression, heterosis regression and calving age regression effects. Random effects were animal additive genetic and residual. Individual SNPs with a p-value smaller than 0.05 were selected for gene mapping, function analysis, and quantitative trait loci (QTL) annotation analysis. Results: A substantial number of QTLs associated with MY (9,334) and FY (8,977) were identified by integrating SNP genotypes and QTL annotations. Notably, we discovered 17 annotated QTLs within the health and exterior QTL classes, corresponding to nine unique genes. Among these genes, Rho GTPase activating protein 15 (ARHGAP15) and catenin alpha 2 (CTNNA2) have previously been linked to physiological traits associated with tropical adaptation in various cattle breeds. Interestingly, these two genes also showed signs of positive selection, indicating their potential role in conferring tolerance to trypanosomiasis, a prevalent tropical disease. Conclusion: Our findings provide valuable insights into the genetic basis of MY and FY in the Thai multibreed dairy cattle population, shedding light on the underlying mechanisms of tropical adaptation. The identified genes represent promising targets for future breeding strategies aimed at improving milk and fat production while ensuring resilience to tropical challenges. This study significantly contributes to our understanding of the genetic factors influencing milk production and adaptability in dairy cattle, facilitating the development of sustainable genetic selection strategies and breeding programs in tropical environments.

Selection Index and Genetic Advance on Quantitative Characters of Sesame (참깨의 양적형질에 대한 선발지수 및 유전진전)

  • ;Kwon-Yawl Chang
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.31 no.3
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    • pp.304-310
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    • 1986
  • The studies were intended to clarify the effects of selection in sesame breeding. The 82 cultivars of sesame were used as the materials, and 14 quantitative characters were measured on individual plant basis. Selection indexes and genetic advances were calculated by Robinson's methods. In genetic advance values, combinations of days to flowering + number of capsule per plant, days to flowering + length of stem with capsule + number of capsule per plant and days to flowering + number of nodes with capsule were higher than those of other combinations. The highest genetic advance was the combination of all characters, but unreasonable problems such as the expence, time and labor involved in calculating the selection index are remained. For these reasons, it was realized that the selection index for selection should calculated on the basis of the data of 2-3 useful characters, i.e., days to flowering, length of stem with capsule and number of capsule per plant.

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An Identification Technique Based on Adaptive Radial Basis Function Network for an Electronic Odor Sensing System

  • Byun, Hyung-Gi
    • Journal of Sensor Science and Technology
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    • v.20 no.3
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    • pp.151-155
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    • 2011
  • A variety of pattern recognition algorithms including neural networks may be applicable to the identification of odors. In this paper, an identification technique for an electronic odor sensing system applicable to wound state monitoring is presented. The performance of the radial basis function(RBF) network is highly dependent on the choice of centers and widths in basis function. For the fine tuning of centers and widths, those parameters are initialized by an ill-conditioned genetic fuzzy c-means algorithm, and the distribution of input patterns in the very first stage, the stochastic gradient(SG), is adapted. The adaptive RBF network with singular value decomposition(SVD), which provides additional adaptation capabilities to the RBF network, is used to process data from array-based gas sensors for early detection of wound infection in burn patients. The primary results indicate that infected patients can be distinguished from uninfected patients.

Genetic Diversity of Korean Isolates of Pseudomonas tolaasii and WLRO (White Line Reacting Organism) using BOX-, REP-, and ERIC-PCR (BOX-, REP-, ERIC-PCR을 이용한 국내 수집 Pseudomonas tolaasii와 WLRO(White line reacting organism) 균주들의 유전적 다양성)

  • Chee, Hee-Youn;Oh, Se-Jong;Lincoln, S.P.
    • The Korean Journal of Mycology
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    • v.27 no.2 s.89
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    • pp.119-123
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    • 1999
  • Genetic diversity of Korean isolates of Pseudomonas tolaasii and WLRO (White line reacting organism) was assessed using BOX-, REP-, and ERIC-PCR analysis. P. tolaasii showed nearly identical band patterns among isolates, whereas considerable DNA polymorphism was found among isolates of WLRO. On the basis of dendogram, WLRO is characterized as a complex group with high degree of genetic differentiation. Genetic relatedness based on repetitive DNA regions was low between P. tolaasii and WLRO isolates.

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A Design Method of Gear Trains Using a Genetic Algorithm

  • Chong, Tae-Hyong;Lee, Joung sang
    • International Journal of Precision Engineering and Manufacturing
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    • v.1 no.1
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    • pp.62-70
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    • 2000
  • The design of gear train is a kind of mixed problems which have to determine various types of design variables; i,e., continuous, discrete, and integer variables. Therefore, the most common practice of optimum design using the derivative of objective function has difficulty in solving those kinds of problems and the optimum solution also depends on initial guess because there are many sophisticated constrains. In this study, the Genetic Algorithm is introduced for the optimum design of gear trains to solve such problems and we propose a genetic algorithm based gear design system. This system is applied for the geometrical volume(size) minimization problem of the two-stage gear train and the simple planetary gear train to show that genetic algorithm is better than the conventional algorithm solving the problems that have continuous, discrete, and integer variables. In this system, each design factor such as strength, durability, interference, contact ratio, etc. is considered on the basis of AGMA standards to satisfy the required design specification and the performance with minimizing the geometrical volume(size) of gear trains

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An Analysis of Genetic Variation and Divergence on Silk Fibre Characteristics of Multivoltine Silkworm (Bombyx mori L.) Genotypes

  • Kumaresan P.;Koundinya P. R.;Hiremath S. A.;Sinha R. K.
    • International Journal of Industrial Entomology and Biomaterials
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    • v.14 no.1
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    • pp.23-32
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    • 2007
  • The nature of genetic variation and diversity among the 65 multivoltine silkworm genotypes was evaluated for 16 post cocoon characters. The components of genetic variation revealed higher PCV (60.487%) and GCV (44.56%) for evenness (variation 1) followed by cohesion (PCV=55.38%, GCV=40.36%) and non-broken filament length (PCV=32.05%, GCV=31.28%). The higher heritability ($h^2$ in broad sense) was observed for boil-off loss (95.6%) followed by non-broken filament length (95.22%). The both genotypic and phenotypic correlation indicated significant positive correlation of filament length with non-broken filament length, silk recovery, raw silk, neatness, and low neatness; and negative correlation with denier, renditta and silk waste. The principal component analysis (PCA) revealed 75.381 % of total variance from the five principal components extracted. On the basis of Mahalonobis' $D^2$ values (Ward's minimum variance), the sixty-five multivoltine silkworm genotypes were classified in to 9 clusters with substantial inter and intra cluster distances. Number of genotypes included in different clusters varied from 3 to 17. The results indicated that the optimum distance obtained in cluster VII (15.059) along with higher cluster mean values especially for filament length, non broken filament length, renditta, silk recovery, silk waste, and raw silk emphasized the utilization of these genotypes in the conventional silkworm breeding programme for improvement of multivoltine silk fibre quality. The possibility of exploiting genetic variation in post cocoon traits for efficient breeding programme is discussed.

Biodiversity and Conservation of Indian Sheep Genetic Resources - An Overview -

  • Bhatia, S.;Arora, R.
    • Asian-Australasian Journal of Animal Sciences
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    • v.18 no.10
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    • pp.1387-1402
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    • 2005
  • Indian subcontinent is a rich source of diverse ovine germplasm, and only very few countries have such a large number of breeds with wide genetic diversity. This vast ovine biodiversity in India is being eroded rapidly and more than 50% of sheep breeds are currently under threat. It is noteworthy that the characterization of Indian sheep breeds was last done in the first half of the century since then no recent estimates are available and surveys in majority of the regions/breeds are far from complete. Starting in 1985 National Bureau of Animal Genetic Resources (NBAGR), Karnal, India, therefore, initiated activities aimed at determining the status and compiling information on indigenous farm animals including sheep. This report represents attempts made to date on the basis of field/literature surveys and additional activities on molecular characterization to ascertain their status including distribution, population changes, breed diversities and risk status. The need, mode and mechanisms of conservation are also described. Involvement of several agencies for evaluation, improvement, conservation programmes and recommendations made for effective characterization and conservation of sheep biodiversity are highlighted. This publication would promote action particularly at national level to improve the information base on domestic Indian breeds of sheep and provide input into national domestic sheep diversity conservation policy decisions.

A Broad-Host-Range Promoter-Probe Vector, pKU20, and Its Use in Promoter Cloning and Expression of Bacillus thuringiensis Crystal Protein Gene in Pseudomonas putida

  • SHIN, BYUNG SIK;BON TAG KOO;SEUNG HWAN PARK;HO YONG PARK;JEONG IL KIM
    • Journal of Microbiology and Biotechnology
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    • v.1 no.4
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    • pp.240-245
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    • 1991
  • We have constructed a promoter-probe vector pKU20 using pKT230, a derivative of broad-host-range plsmid RSF1010, as a base. The pKU20 contains structural gene for aminoglycoside phos-photransferase (aph), without promoter, and a multiple cloning site upstream the aph. Using this vector, a 412base pairs (bp) PstI fragment showing strong promoter activity both in Escherichia coli LE392 and Pseudomonas putida KCTC1644 has been cloned from Pseudomonas fluorescens chromosomal DNA on the basis of streptomycin resistance. The nucleotide sequence of the 412 bp fragment has been determined and the putative - 35 and -10 region was observed. Insecticidal protein gene of Bacillus thuringiensis subsp. kurstaki HD-73 inserted on downstream of the promoterlike DNA fragment was efficiently expressed in E. coli and P. putida. The toxin protein was efficiently synthesized in an insoluble form in both strains.

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A survey of the genetic components introduced into approved GM crops (국내외 상업화 GM 작물의 유전요소 분석)

  • Woo, Hee-Jong;Chung, Chan-Mi;Shin, Kong-Sik;Ji, Hyeon-So;Lee, Ki-Jong;Suh, Seok-Chul;Kweon, Soon-Jong;Cho, Yong-Gu
    • Journal of Plant Biotechnology
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    • v.36 no.2
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    • pp.106-114
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    • 2009
  • Genetic components introduced into approved GM crops are a key subject for safety assessment and provide a basis for the development of detection methods for GM crops. In order to understand the genetic components in approved GM crops comprehensively, we screened the genetic vector maps of GM crops that had been approved for commercialization around the world. A total of 64 varieties from 5 major GM crop species (maize, canola, cotton, soybean, and tomato) were subjected to analysis. The genetic components included genes, promoters, terminators, and selection marker. This survey may be useful for researchers who develop GM crops and methods for detecting GM crops.

Genetic Diversity of 14 Indigenous Grey Goose Breeds in China Based on Microsatellite Markers

  • Tu, Yunjie;Chen, K.W.;Zhang, S.J.;Tang, Q.P.;Gao, Y.S.;Yang, N.
    • Asian-Australasian Journal of Animal Sciences
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    • v.19 no.1
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    • pp.1-6
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    • 2006
  • This experiment first cloned some microsatellite sequences for goose species by magnetic beads enriched method and studied the genetic structure research of 14 indigenous grey goose breeds using 19 developed and 12 searched microsatellite markers with middle polymorphism. According to the allele frequencies of 31 microsatellite sites, mean heterozygosity (H), polymorphism information content (PIC) and $D_A$ genetic distances were calculated for 31-microsatellite sites. The results showed that 25 of 31microsatellite sites were middle polymorphic, so the 25 microsatellite markers were effective markers for analysis of genetic relationship among goose breeds. The mean heterozygosity was between 0.4985 and 0.6916. The highest was in the Xupu (0.6916), and in the Yan was the lowest (0.4985) which was consistent with that of PIC. The phylogenetic tree was completed through analysis of UPGMA. Fencheng Grey, Shoutou, Yangjiang and Magang were grouped firstly, then Xongguo Grey, Wugang Tong, Changle and Youjiang were the second group; Gang, Yan Xupu and Yili were the third group; Yongkang Grey and Wuzeng were the fourth group. The results could provide basic molecular data for the research on the characteristics of local breeds in the eastern China, and a scientific basis for the conservation and utilization of those breeds.