• Title/Summary/Keyword: Genetic clusters

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Population Structure of Mungbean Accessions Collected from South and West Asia using SSR markers

  • Kabir, Khandakar Md. Rayhanul;Park, Yong Jin
    • Korean Journal of Breeding Science
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    • v.43 no.1
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    • pp.14-22
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    • 2011
  • In this study, 15 simple sequence repeat (SSR) markers were used to analyze the population structure of 55 mungbean accessions (34 from South Asia, 20 from West Asia, 1 sample from East Asia). A total of 56 alleles were detected, with an average of 3.73 per locus. The mean of major allele frequency, expected heterozygosity and polymorphic information content for 15 SSR loci were 0.72, 0.07 and 0.33 respectively. The mean of major allele frequency was 0.79 for South Asia, and 0.74 for West Asia. The mean of genetic diversity and polymorphic information content were almost similar for South Asian and West Asian accessions (genetic diversity 0.35 and polymorphic information content 0.29). Model-based structure analysis revealed the presence of three clusters based on genetic distance. Accessions were clearly assigned to a single cluster in which >70% of their inferred ancestry was derived from one of the model-based populations. 47 accessions (85.56%) showed membership with the clusters and 8 accessions (14.54%) were categorized as admixture. The results could be used to understanding the genetic structure of mungbean cultivars from these regions and to support effective breeding programs to broaden the genetic basis of mungbean varieties.

PCR Analysis for Genetic Distances of Two Charybdis Crab Populations

  • Yoon, Jong-Man
    • Development and Reproduction
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    • v.26 no.2
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    • pp.91-98
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    • 2022
  • Genomic DNA (gDNA) set apart from two populations of Korean Charybdis crab (Charybdis japonica) was augmented by PCR experiments. The five oligonucleotides primers (ONT-primers) were spent to yield the number of unique loci shared to each crab population (ULSECP) and number of loci shared by the two crab populations (LSTCP). 305 fragments (FRAGs) were identified in the Charybdis crab population A (CCPA), and 344 in the Charybdis crab population B (CCPB): 44 number of ULSECP (14.43%) in the CCPA and 110 (31.98%) in the CCPB. 44 number of LSTCP, with an average of 8.8 per primer, were detected in the two crab populations. The bandsharing (BS) value between entity's no. 01 and no. 10 was the lowest (0.371) between the two CCPs. The average bandsharing (ABS) values of individuals in the CCPA (0.575±0.014) were lesser than in those originated from the CCPB (0.705±0.011) (p < 0.05). The polar hierarchical dendrogram (PHD) achieved by the five ONT-primers denotes three genetic clusters (GCs): cluster I (CHARYBCRAB 01, 04, 05, 06, and 08), cluster II (CHARYBCRAB 02, 03, 07, 09, 10, and 11) and cluster III (CHARYBCRAB 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, and 22). The shortest genetic distance (GD) displaying significant molecular difference (MD) was between individuals CHARYBCRAB no. 18 and CHARYBCRAB no. 17 (0.055).

Genetic diversity and population genetic structure of Cambodian indigenous chickens

  • Ren, Theary;Nunome, Mitsuo;Suzuki, Takayuki;Matsuda, Yoichi
    • Animal Bioscience
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    • v.35 no.6
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    • pp.826-837
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    • 2022
  • Objective: Cambodia is located within the distribution range of the red junglefowl, the common ancestor of domestic chickens. Although a variety of indigenous chickens have been reared in Cambodia since ancient times, their genetic characteristics have yet to be sufficiently defined. Here, we conducted a large-scale population genetic study to investigate the genetic diversity and population genetic structure of Cambodian indigenous chickens and their phylogenetic relationships with other chicken breeds and native chickens worldwide. Methods: A Bayesian phylogenetic tree was constructed based on 625 mitochondrial DNA D-loop sequences, and Bayesian clustering analysis was performed for 666 individuals with 23 microsatellite markers, using samples collected from 28 indigenous chicken populations in 24 provinces and three commercial chicken breeds. Results: A total of 92 haplotypes of mitochondrial D-loop sequences belonging to haplogroups A to F and J were detected in Cambodian chickens; in the indigenous chickens, haplogroup D (44.4%) was the most common, and haplogroups A (21.0%) and B (13.2%) were also dominant. However, haplogroup J, which is rare in domestic chickens but abundant in Thai red junglefowl, was found at a high frequency (14.5%), whereas the frequency of haplogroup E was considerably lower (4.6%). Population genetic structure analysis based on microsatellite markers revealed the presence of three major genetic clusters in Cambodian indigenous chickens. Their genetic diversity was relatively high, which was similar to findings reported for indigenous chickens from other Southeast Asian countries. Conclusion: Cambodian indigenous chickens are characterized by mitochondrial D-loop haplotypes that are common to indigenous chickens throughout Southeast Asia, and may retain many of the haplotypes that originated from wild ancestral populations. These chickens exhibit high population genetic diversity, and the geographical distribution of three major clusters may be attributed to inter-regional trade and poultry transportation routes within Cambodia or international movement between Cambodia and other countries.

Genetic Diversity and Identification of Korean Elite Soybean Cultivars including Certified Cultivars Based on SSR Markers (한국 콩 보급품종을 포함한 엘리트품종의 SSR마커에 의한 유전적 다양성과 품종판별)

  • Jang, Seong-Jin;Park, Su-Jeong;Park, Kyeong-Ho;Song, Hang-Lin;Cho, Yong-Gu;Jong, Seung-Keun;Kang, Jung-Hoon;Kim, Hong-Sig
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.54 no.2
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    • pp.231-240
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    • 2009
  • A total of 26 Korean elite soybean cultivars including 21 certified cultivars was assessed to evaluate genetic diversity and to analyze relationship among them based on 15 SSR markers. Fifteen SSR markers generated a total of 201 alleles. Average number of alleles per SSR marker was 13.4 with a range from 8 to 19. Genetic diversity of 26 cultivars estimated by PIC value ranged from 0.782 to 0.931 with an average of 0.874. PIC value of Satt197 was the highest with 0.931 and Satt141 was the lowest with 0.782 among 15 SSR markers. Cluster analysis based on genetic distances classified 26 soybean cultivars into 3 clusters. Cluster I, II and III included 2, 7 and 17 cultivars, respectively. Average genetic diversity within clusters was 0.769 with a range from 0.720 to 0.799. Average genetic diversity between clusters was 0.813 with a range from 0.725 to 0.857. Genetic diversity was higher between clusters than within clusters. Genetic relationship among clusters was near between I and II, and I and III and far between II and III cluster. All of 26 Korean elite soybean cultivars could be identified by using any of 5 combinations of 2 SSR markers with higher PIC value, i.e, $Satt197+Sat_088$, Satt197+Satt245, $Sat_088+Sat_-036$, $Sat_088+Satt245$ and Satt185+Satt245.

An integrated Bayesian network framework for reconstructing representative genetic regulatory networks.

  • Lee, Phil-Hyoun;Lee, Do-Heon;Lee, Kwang-Hyung
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2003.10a
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    • pp.164-169
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    • 2003
  • In this paper, we propose the integrated Bayesian network framework to reconstruct genetic regulatory networks from genome expression data. The proposed model overcomes the dimensionality problem of multivariate analysis by building coherent sub-networks from confined gene clusters and combining these networks via intermediary points. Gene Shaving algorithm is used to cluster genes that share a common function or co-regulation. Retrieved clusters incorporate prior biological knowledge such as Gene Ontology, pathway, and protein protein interaction information for extracting other related genes. With these extended gene list, system builds genetic sub-networks using Bayesian network with MDL score and Sparse Candidate algorithm. Identifying functional modules of genes is done by not only microarray data itself but also well-proved biological knowledge. This integrated approach can improve there liability of a network in that false relations due to the lack of data can be reduced. Another advantage is the decreased computational complexity by constrained gene sets. To evaluate the proposed system, S. Cerevisiae cell cycle data [1] is applied. The result analysis presents new hypotheses about novel genetic interactions as well as typical relationships known by previous researches [2].

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Genetic diversity and population structure of rice accessions from South Asia using SSR markers

  • Cui, Hao;Moe, Kyaw Thu;Chung, Jong-Wook;Cho, Young-Il;Lee, Gi-An;Park, Yong-Jin
    • Korean Journal of Breeding Science
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    • v.42 no.1
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    • pp.11-22
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    • 2010
  • The population structure of a domesticated species is influenced by the natural history of the populations of its pre-domesticated ancestors, as well as by the breeding system and complexity of breeding practices implemented by humans. In the genetic and population structure analysis of 122 South Asia collections using 29 simple sequence repeat (SSR) markers, 362 alleles were detected, with an average of 12.5 per locus. The average expected heterozygosity and polymorphism information content (PIC) for each SSR locus were 0.74 and 0.72,respectively. The model-based structure analysis revealed the presence of three clusters with the 91.8% (shared > 75%) membership, with 8.2% showing admixture. The genetic distances of Clusters 1-3 were 0.55, 0.56, and 0.68, respectively. Polymorphic information content followed the same trend (Cluster 3 had the highest value and Cluster 1 had smallest value), with genetic distances for each cluster of 0.52, 0.52, and 0.65, respectively. This result could be used for supporting rice breeding programs in South Asia countries.

Assessment of genetic diversity and phylogenetic relationships of Korean native chicken breeds using microsatellite markers

  • Seo, Joo Hee;Lee, Jun Heon;Kong, Hong Sik
    • Asian-Australasian Journal of Animal Sciences
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    • v.30 no.10
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    • pp.1365-1371
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    • 2017
  • Objective: This study was conducted to investigate the basic information on genetic structure and characteristics of Korean Native chickens (NC) and foreign breeds through the analysis of the pure chicken populations and commercial chicken lines of the Hanhyup Company which are popular in the NC market, using the 20 microsatellite markers. Methods: In this study, the genetic diversity and phylogenetic relationships of 445 NC from five different breeds (NC, Leghorn [LH], Cornish [CS], Rhode Island Red [RIR], and Hanhyup [HH] commercial line) were investigated by performing genotyping using 20 microsatellite markers. Results: The highest genetic distance was observed between RIR and LH (18.9%), whereas the lowest genetic distance was observed between HH and NC (2.7%). In the principal coordinates analysis (PCoA) illustrated by the first component, LH was clearly separated from the other groups. The correspondence analysis showed close relationship among individuals belonging to the NC, CS, and HH lines. From the STRUCTURE program, the presence of 5 clusters was detected and it was found that the proportion of membership in the different clusters was almost comparable among the breeds with the exception of one breed (HH), although it was highest in LH (0.987) and lowest in CS (0.578). For the cluster 1 it was high in HH (0.582) and in CS (0.368), while for the cluster 4 it was relatively higher in HH (0.392) than other breeds. Conclusion: Our study showed useful genetic diversity and phylogenetic relationship data that can be utilized for NC breeding and development by the commercial chicken industry to meet consumer demands.

Genetic diversity of grapevine (Vitis vinifera L.) as revealed by ISSR markers

  • Basheer-Salimia, Rezq;Mujahed, Arwa
    • Journal of Plant Biotechnology
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    • v.46 no.1
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    • pp.1-8
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    • 2019
  • The main goal of this study was to determine the genetic diversity among 36 grape cultivars grown in Palestine by using ISSR-polymerase chain reaction (PCR) fingerprints. Among the tested primers, 17 produced reasonable amplification products with high intensity and pattern stability. A total of 57 DNA fragments (loci) separated by electrophoresis on agarose gels were detected and they ranged in size, from 150 to 900 bp. Out of these fragments, 55 (88%) were polymorphic and 2 (3.5%) monomorphic. Our results also revealed an average of 3.1 loci per primer. A minimum of 1 and maximum of 10 DNA fragments were obtained (S-17, #820 and #841) and (S-31) primers, respectively. Therefore, the later primer (S-31) is considered to be the most powerful primer among the tested ones. The genetic distance matrix showed an average distance range of between 0.05 and 0.76. The maximum genetic distance value of 0.76 (24% similarity) was exhibited between the (Shami and Marawi.Hamadani.Adi) as well as (Bairuti and Marawi.Hamadani.Adi) genotypes. On the other hand, the lowest genetic distance of 0.05 (95% similarity) was exhibited between (Jandali.Tawel.Mofarad and Jandali. Kurawi.Mlzlz) along with (Shami.Aswad and Shami.mtartash. mlwn) genotypes. Furthermore, the UPGMA dendrogram generally clusters the grape cultivars into eight major clusters in addition to an isolated genotype. Based on these figures, the cultivars tested in this study could be characterized by large divergence at the DNA level. This is taking the assumption that our region has a very rich and varied clonal grape genetic structure.

Characterization of Isolated Lactobacillus spp. And classification by RAPD-PCR Analysis

  • Kwon, Oh-Sik
    • Journal of Microbiology
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    • v.38 no.3
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    • pp.137-144
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    • 2000
  • The genetic relationship of six Lactobacillus strains and five laboratory isolated form fermented milk were determined by a random amplified polymorphic DNA(RAPD)-Polymease chan reaction (PCR) method. With 42 random primers. the result were analyzed by using the NTSYS-PC software for phenetic analysis. it revealed that all tested bacteria were divided into three distinct clusters. The clusters implied three subgenuses existed for the genus Lactobacillus, which were previously proposed by Rogosa and Sharpe. From the results, it was also possible to determine that the isolated Lactobacillus strains from fermented milk were grouped into L. acidophilus or L. bulgaricus. Interestingly. the three tested L. casei strains were divided into different clusters implying different subgenuses, i.e., Thermobacterium (L. casei YIT 9018) and Streptobacterium(L. casei CHR. Hansen and L.casei ATCC 4646). According to the distance matrix generated by an UPGMA program, the isolated bacteria LT01 and LT02 were determined as a subspecies of L. bulgaricus. The HK01, HK02 and HK03 were very closely related to either L. acidophilus or L. case YIT 9018. Hence, RAPD-PCR appears to be a very practical method to determine the genetic relationships of the Lactobacillus species and to characterize the unknown Lactobacillus strains at the subspecies level.

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Comparative Genomics Uncovers the Genetic Diversity and Synthetic Biology of Secondary Metabolite Production of Trametes

  • Zhang, Yan;Wang, Jingjing;Yajun, Chen;Zhou, Minghui;Wang, Wei;Geng, Ming;Xu, Decong;Xu, Zhongdong
    • Mycobiology
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    • v.48 no.2
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    • pp.104-114
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    • 2020
  • The carbohydrate-active enzyme (CAZyme) genes of Trametes contribute to polysaccharide degradation. However, the comprehensive analysis of the composition of CAZymes and the biosynthetic gene clusters (BGCs) of Trametes remain unclear. Here, we conducted comparative analysis, detected the CAZyme genes, and predicted the BGCs for nine Trametes strains. Among the 82,053 homologous clusters obtained for Trametes, we identified 8518 core genes, 60,441 accessory genes, and 13,094 specific genes. A large proportion of CAZyme genes were cataloged into glycoside hydrolases, glycosyltransferases, and carbohydrate esterases. The predicted BGCs of Trametes were divided into six strategies, and the nine Trametes strains harbored 47.78 BGCs on average. Our study revealed that Trametes exhibits an open pan-genome structure. These findings provide insights into the genetic diversity and explored the synthetic biology of secondary metabolite production for Trametes.