• Title/Summary/Keyword: Genetic clusters

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Genetic Variability and Relationships of Native Japanese Chickens Assessed by Microsatellite DNA Profiling - Focusing on the Breeds Established in Kochi Prefecture, Japan -

  • Osman, S.A.-M.;Sekino, M.;Nishibori, M.;Yamamoto, Y.;Tsudzuki, M.
    • Asian-Australasian Journal of Animal Sciences
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    • v.18 no.6
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    • pp.755-761
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    • 2005
  • Blood samples were collected from eight native Japanese breeds of chickens (Miyadi-dori, Ohiki, Onaga-dori, Shoukoku, Tosa-Jidori, Tosa-Kukin, Toutenkou and Uzurao) and two foreign breeds of chickens (White Leghorn and Rhode Island Red) to examine the genetic variability and relationships among the breeds by using a microsatellite DNA technique. Except for the Shoukoku breed, the other Japanese chicken breeds all originate from Kochi Prefecture. Ohiki, Onaga-dori, Tosa-Jidori, Toutenkou and Uzurao are fancy fowl, and Miyadi-dori and Tosa-Kukin are utility fowl. Among the fancy fowl, Ohiki, Onaga-dori, and Toutenkou males have thick and long feathers in the saddle and tail. Genetic variabilities of the 20 microsatellites examined, varied depending on the breed: the mean number of alleles per locus ranged from 2.05 (Miyadi-dori) to 3.90 (Rhode Island Red); proportion of polymorphic loci ranged from 0.75 (Miyadi-dori) to 1.00 (Rhode Island Red, Shoukoku and Uzurao); and mean expected heterozygosity ranged from 0.330 (Miyadi-dori) to 0.607 (Rhode Island Red). Unique microsatellite alleles were detected in each breed. Using the neighbour-joining method, phylogenetic trees were constructed based on the genetic distances of D$_{A}$ and D$_{ST}$. Among the breeds originating from Kochi Prefecture, fancy and utility breeds belonged to different clusters. Among the fancy breeds, those having thick and long feathers in the tail and saddle showed a close genetic relationship to the Shoukoku breed, which also has thick and long feathers in the tail and saddle.

Genetic Differences and Variations in Two Porphyra Species (Bangiales, Rhodophyta) (김 2종의 유전적 차이 및 변이)

  • Lee Jong-Hwa;Yoon Jong-Man
    • Journal of Aquaculture
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    • v.19 no.2
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    • pp.67-76
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    • 2006
  • Genomic DNA isolated from two Porphyra species, P. tenera and P. dentate from Wando located on the southern coast of Korean peninsula was amplified by PCR reaction. The amplified products were separated by agarose gel electrophoresis (AGE) with decamer primer and stained with ethidium bromide. The eight arbitrarily selected primers OPA-04, OPA-06, OPB-01, OPB-08, OPB-10, OPB-11, OPB-14 and OPC-10 generated the shared loci, polymorphic, and specific loci. The size of DNA bands varies from 100 bp to 2,200 bp. The complexity of the banding patterns varies dramatically between the primers and two Porphyra species. A total of 528 loci observed were identified in P. tenera and 443 in P. dentata: 22 polymorphic loci (4.2%) in P. tenera and 30 (6.8%) in P. dentata. 154 shared loci observed, the average 19.3 per primer, were identified in P. tenera and 143 loci, the aver-age 17.9 per primer, in P. dentata species. The number of specific loci in P. tenera and P. dentata was 73 and 77, respectively. The average bandsharing value was $0.623{\pm}0.008$ with P. tenera and $0.560{\pm}0.009$ within P. dentata. The average bandsharing value between two Porphyra species was $0.408{\pm}0.004$, ranged from 0.305 to 0.564. The dendrogram obtained by the eight primers indicates four genetic clusters. The genetic distance between two Porphyra species ranged from 0.076 to 0.627. The individual no. 02 of P. tenera was genetically closely related to no. 01 of P. tenera(genetic distance=0.082). Especially, two entities between the individual DENTATA no.21 and DENTATA no. 19 of P. dentata showed the longest genetic distance (0.627) in comparison with other individuals used. In this study, RAPD-PCR analysis has revealed the significant genetic distance between two Porphyra species pairs (P<0.001).

Genetic Differences and Geographic Variation in Cuttle Fish (Sepia esculenta Hoyle)

  • Yoon, Jong-Man;Kim, Jong-Yeon
    • Development and Reproduction
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    • v.14 no.3
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    • pp.163-170
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    • 2010
  • The gDNA isolated from Korean cuttle fish (Sepia esculenta Hoyle) from Sockcho (SOCKCHO), Seocheon (SEOCHEON), Incheon (INCHEON) and Vietnamese cuttle fish (VIETNAM), were amplified by PCR. Here, the seven selected primers (BION-A07, BION-A09, BION-A11, BION-A20, BION-B04, BION-B06, and BION-B14) were used to generate the unique shared loci to each population and shared loci by the four cuttle fish populations. In this study, the primer BION-A11 detected 112 shared loci by the four populations, major and/or minor fragments of sizes 300 bp, 400 bp, 700 bp and 1,000 bp, respectively, which were identical in all samples. The dendrogram obtained by the seven primers indicates five genetic clusters: cluster 1 (SOCKCHO 01-SOCKCHO 07), cluster 2 (SEOCHEON 08-SEOCHEON 10), cluster 3 (SEOCHEON 11-SEOCHEON 14), cluster 4 (INCHEON 15-INCHEON 21), and cluster 5 (VIETNAM 22-VIETNAM 28). The shortest genetic distance that displayed significant molecular differences was between individuals 25 and 26 from the Vietnamese cuttle fish (0.025), while the longest genetic distance among the twenty-eight cuttle fishes that displayed significant molecular differences was between individuals SOCKCHO no. 02 and SEOCHEON no. 12 (0.640). Individual of Seocheon and Incheon cuttle populations was somewhat closely related to that of Vietnamese cuttle fish population. Even though it could not be affirmed by a single case, such a result seems to be closely connected that the Korean peninsula is subject to climate changes by global warming. In conclusion, our PCR analyses revealed a significant genetic distance among the four cuttle fish populations.

Genetic Diversity Analysis of Proso millet (Panicum miliaceum) Germplasm Using EST-SSR Markers

  • Lee, Myung-Chul;Choi, Yu-Mi;Yun, Hyemyeong;Shin, Myoung-Jae;Lee, Sukyeung;Oh, Sejong
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2019.10a
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    • pp.43-43
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    • 2019
  • The collection, evaluation and conservation of crop germplasm have been treated as one of the basics to breeding program. An understanding of genetic relationships among germplasm resources is vital for future breeding process like yield, quality, and resistance. In the present study, EST-SSR markers were employed to assess the polymorphism and genetic diversity of 192 accessions of Proso millet preserved in the National Agrobiodiversity Center of RDA. We evaluated the efficiency of EST-SSR markers developed for proso millet species. A total of 98 alleles were detected with an average allele number of 4.5 per locus among 192 proso millet millet accessions using 22 EST-SSR markers. The averaged values of gene diversity ($H_E$) and polymorphism information content (PIC) for each EST-SSR marker were 0.362 and 0.404 within populations, respectively. Our results showed the moderate level of the molecular diversity among the proso millet accessions from diverse countries. A phylogenetic tree revealed three major groups of accessions that did not correspond with geographical distribution patterns with a few exceptions. The less correlation between the clusters and their geographic location might be considered due to their type difference. Our study provided a better understanding of genetic relationships among various germplasm collections, and it could contribute to more efficient utilization of valuable genetic resources. The EST-SSR markers developed here will serve as a valuable resource for genetic studies, like linkage mapping, diversity analysis, quantitative trait locus/association mapping, and molecular breeding.

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Genetic diversity of Indonesian cattle breeds based on microsatellite markers

  • Agung, Paskah Partogi;Saputra, Ferdy;Zein, Moch Syamsul Arifin;Wulandari, Ari Sulistyo;Putra, Widya Pintaka Bayu;Said, Syahruddin;Jakaria, Jakaria
    • Asian-Australasian Journal of Animal Sciences
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    • v.32 no.4
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    • pp.467-476
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    • 2019
  • Objective: This research was conducted to study the genetic diversity in several Indonesian cattle breeds using microsatellite markers to classify the Indonesian cattle breeds. Methods: A total of 229 DNA samples from of 10 cattle breeds were used in this study. The polymerase chain reaction process was conducted using 12 labeled primers. The size of allele was generated using the multiplex DNA fragment analysis. The POPGEN and CERVUS programs were used to obtain the observed number of alleles, effective number of alleles, observed heterozygosity value, expected heterozygosity value, allele frequency, genetic differentiation, the global heterozygote deficit among breeds, and the heterozygote deficit within the breed, gene flow, Hardy-Weinberg equilibrium, and polymorphism information content values. The MEGA program was used to generate a dendrogram that illustrates the relationship among cattle population. Bayesian clustering assignments were analyzed using STRUCTURE program. The GENETIX program was used to perform the correspondence factorial analysis (CFA). The GENALEX program was used to perform the principal coordinates analysis (PCoA) and analysis of molecular variance. The principal component analysis (PCA) was performed using adegenet package of R program. Results: A total of 862 alleles were detected in this study. The INRA23 allele 205 is a specific allele candidate for the Sumba Ongole cattle, while the allele 219 is a specific allele candidate for Ongole Grade. This study revealed a very close genetic relationship between the Ongole Grade and Sumba Ongole cattle and between the Madura and Pasundan cattle. The results from the CFA, PCoA, and PCA analysis in this study provide scientific evidence regarding the genetic relationship between Banteng and Bali cattle. According to the genetic relationship, the Pesisir cattle were classified as Bos indicus cattle. Conclusion: All identified alleles in this study were able to classify the cattle population into three clusters i.e. Bos taurus cluster (Simmental Purebred, Simmental Crossbred, and Holstein Friesian cattle); Bos indicus cluster (Sumba Ongole, Ongole Grade, Madura, Pasundan, and Pesisir cattle); and Bos javanicus cluster (Banteng and Bali cattle).

Morphometric variation, genetic diversity and allelic polymorphism of an underutilised species Thaumatococcus daniellii population in Southwestern Nigeria

  • Animasaun, David Adedayo;Afeez, Azeez;Adedibu, Peter Adeolu;Akande, Feyisayo Priscilla;Oyedeji, Stephen;Olorunmaiye, Kehinde Stephen
    • Journal of Plant Biotechnology
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    • v.47 no.4
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    • pp.298-308
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    • 2020
  • Genetic diversity among Thaumatococcus daniellii populations in the southwestern region of Nigeria were assessed using morphometric and molecular markers to determine the population structure and existing genetic relationship for its improvement, conservation and sustainable utilisation. Populations from five locations in each of the six states were used for the study. Morphometric data were collected on folia characters and analysed for variability. Genome DNA was isolated from the plant leaf and amplified by polymerase chain reaction with inter-simple sequence repeat markers (ISSR) to determine the allelic polymorphism, marker effectiveness and genetic relationship of the population. The results showed significant variations in petiole length and leaf dimensions of the populations within and across the states. These morphometric traits are the major parameters that delimit the populations and they correlated significantly at P≤0.05. Analysis of the electrophoregram showed that the ISSR markers are effective for the diversity study. A total of 136 loci were amplified with an average of 7.16 loci per marker, 63.2% of the loci were polymorphic. The Principal Coordinate Analysis revealed that seven factors accounted for 81.6% of the variation and the dendrogram separated the populations into two major groups at a genetic distance of 10 (about 90% similarity) with sub-groups and clusters. Most populations within the state had a high degree of similarity, nonetheless, strong genetic relationship exists among populations from different states. The close relationship between populations across the states suggests a common progenitor, which are likely separated by ecological or geographical isolation mechanisms.

Evaluation of horticultural traits and genetic relationship in melon germplasm (멜론 유전자원의 원예형질 특성 및 유연관계 분석)

  • Jung, Jaemin;Choi, Sunghwan;Oh, Juyeol;Kim, Nahui;Kim, Daeun;Son, Beunggu;Park, Younghoon
    • Journal of Plant Biotechnology
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    • v.42 no.4
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    • pp.401-408
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    • 2015
  • Horticultural traits and genetic relationship were evaluated for 83 melon (Cucumis melo L.) cultivars. Survey of a total of 36 characteristics for seedling, leaf, stem, flower, fruit, and seed and subsequent multiple analysis of variance (MANOVA) were conducted. Principal component analysis (PCA) showed that 8 principle components including fruit weight, fruit length, fruit diameter, cotyledon length, seed diameter, and seed length accounted for 76.3% of the total variance. Cluster analysis of the 83 melon cultivars using average linkage method resulted in 5 clusters at coefficient of 0.7. Cluster I consisted of cultivars with high values for fruit-related traits, Cluster II for soluble solid content, and Cluster V for high ripening rate. Genotyping of the 83 cultivars was conducted using 15 expressed-sequence tagged-simple sequence repeat (EST-SSR) from the Cucurbit Genomics Initiative (ICuGI) database. Analysis of genetic relatedness by UPGMA resulted in 6 clusters. Mantel test indicated that correlation between morphological and genetic distance was very low (r = -0.11).

Genetic Differentiation of Pseudomonas syringae Pathovar tomato from Other P. syringae Pathovars using REP-PCR and URP-PCR

  • Cho, Min-Seok;Park, Dong-Suk;Yun, Yeo-Hong;Kim, Seong-Hwan;Shim, Myung-Yong;Choi, Chang-Won;Kim, Young-Shick
    • The Plant Pathology Journal
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    • v.28 no.1
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    • pp.60-67
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    • 2012
  • For the genetic differentiation of $Pseudomonas$ $syringae$ pathovar $tomato$, a total of 51 $P.$ $syringae$ pv. strains infecting 33 different host plants were analyzed using repetitive element PCR(REP-PCR) and universal rice primer PCR(URP-PCR). The entire DNA fingerprint profiles were analyzed using unweighted pair-group method with arithmetic averages (UPGMA). The 51 $P.$ $syringae$ pv. strains could be divided into five clusters based on 65% similarity by Rep-PCR using BOX, ERIC, and REP primers. $P.$ $syringae$ pv. $tomato$ cluster was well separated from other 31 $P.$ $syringae$ pathovars. $P.$ $syringae$ pv. $tomato$ cluster included only $P.$ $syringae$ pv. $maculicola$ and $P.$ $syringae$ pv. $tomato$. $P.$ $syringae$ pv. $tomato$ strains could be divided into two genetic groups. Meanwhile, the Pseudomonas pv. strains could be divided into four clusters based on 63% similarity by URP-PCR using 2F, 9F, and 17R primers. $P.$ $syringae$ pv. $tomato$ cluster was also well separated from 30 other $P.$ $syringae$ pathovars. In this case, $P.$ $syringae$ pv. $tomato$ cluster included $P.$ $syringae$ pv. $maculicola$, $P.$ $syringae$ pv. $berberidi$, and $P.$ $syringae$ pv. $tomato$. $P.$ $syringae$ pv. $tomato$ strains was also separated into two genetic groups by URP-PCR analysis. Overall, our work revealed that $P.$ $syringae$ pv. $tomato$ can be genetically differentiated from other $P.$ $syringae$ pathovars by the DNA fingerprint profiles of REP-PCR and URP-PCR. We first report that there are two genetically diverged groups in $P.$ $syringae$ pv. $tomato$ strains.

Agrobacterium-mediated Transformation of Eleutherococcus sessiliflorus using Embryogenic Calli and the Regeneration of Plants (오갈피(Eleutherococcus sessiliflorus)의 배형성 세포를 이용한 고빈도 형질전환 및 재분화)

  • Jeong, Jae-Hun;Han, Seong-Soo;Choi, Yong-Eui
    • Journal of Plant Biotechnology
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    • v.30 no.3
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    • pp.233-239
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    • 2003
  • We have developed a reliable and high-frequency genetic transformation and regeneration system via somatic embryogensis of Eleutherococcus sessiliflorus. Embryogenic callus obtained from seed were co- cultivated with Agrobacterium tumefaciens strain EHA101/pIG121Hm harboring genes for intron-$\beta$-glucoronidase(GUS), kanamycin and hygromycin resistance. Following co-cultivation, two types of samples(fine embrogenic calli and early globular embryo clusters) were cultivated on Murashige and Skoog(MS) medium containing 1 mg/L2.4-D for 3day in dark. Transient expression of GUS gene was found to be higher in the early globular embryo clusters than in the embryogenic calli. Also, co-cultivated period affected expression of GUS gene; the best result was obtained when globular embryo clusters were co-cultivated with Agrobacterium for 3 days. Subsequently, this callus transferred to selective MS medium containing 1mg/L2.4-D, 50mg/L kanamycin or/and 30mg/L hygromycin and 300mg/L cefortaxime. These embryogenic calls were subcultured to the same selection medium at every 2 weeks intervals. Approximately 24.5% of the early globular embryos co-cultivated with Agrobacterium for 3days produced kanamycin or/and hygromycin-resistant calli. Transgenic somatic embryos were converted into plantlets in half strength MS medium supplemented with 3mg/L GA$_3$ kanamycin and were confirmed by GUS histochemical assay and polymerase chain reaction analysis. Genomic Southem blot hybridization confirmed the incorporation of NPT II gene into the host genome.

A determination of linear decision function using GA and its application to the construction of binary decision tree (유전 알고리즘을 이용한 선형 결정 함수의 결정 및 이진 결정 트리 구성에의 적용)

  • 정순원;박귀태
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1996.10a
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    • pp.271-274
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    • 1996
  • In this paper a new determination scheme of linear decision function is proposed. In this scheme, the weights in linear decision function is obtained by genetic algorithm. The result considering balance between clusters as well as classification error can be obtained by properly selecting the fitness function of genetic algorithm in determination of linear decision function and this has the merit in applying this scheme to the construction of binary decision tree. The proposed scheme is applied to the artificial two dimensional data and real multi dimensional data. Experimental results show the usefulness of the proposed scheme.

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