Bayesian Clustering Of Indonesian Rice Germplasm

Model-based clustering where the inference on the parameters follow the Bayesian principle has been used to cluster 467 accessions of Indonesian rice germplasm which consist of released varieties, landraces, introduction lines, improved lines and wild species. A model-based Bayesian cluster analysis of genotype data can be used to evaluate the genetic backgrounds of rice populations of interest. Such analyses can be used to infer population structure, assign individuals to sub populations, and to study hybrid populations. Thus, the goal of this research was to examine the genotype data of numerous accession of rice germplasm using the model bayesian cluster analysis. The 1536 SNP-chip design was performed for genome scanning of the accession using the high throughput genotyping platform, the data of which were used for clustering. The result indicated that the germplasm can be clustered into five cluster based on similarities on genetic profile, i.e. similarities in gene frequencies across genome among individuals. Each cluster can be identified by reference lines, i.e. the lines or varieties that their genetic profile uniquely belong to one cluster and do not have or very rare introgression from lines or varieties of other clusters. Many introgressions have been identified among lines in all clusters which indicated that most of Indonesia rice germplasm, including local and introduced varieties were the results of crosses that occurred either in naturally fixation or breeding program activities that crossed one line/varieties to the others. There is also cluster in which no reference line and almost all lines/varieties in that cluster are known to have same common specific phenotype, e.g. aromatic

Pendugaan Gen Bph1, Bph2, Bph3, Dan Bph4 Pada Galur-galur Padi Terpilih Tahan Hama Wereng Batang Cokelat (Nilaparvata Lugens[Stål])

Pests are major constraints to increasingrice production and brown planthoppers/BPH (Nilaparvatalugens [Stål]) is one of the major pests of rice plant.Resistance cultivar is one of the strategies for BPHmanagement. The objective of this research was to analyzethe Bph1, bph2, Bph3, and bph4 gene existence on theselected rice lines using the molecular markers. Thephenotype of the rice lines were tested based on theirresponse to BPH population collected from West Java andCental Java. Molecular markers linked to Bph1, bph2, Bph3,and bph4 were used to characterize the genotypic profilebased on PCR analysis. The results showed that there are sixgenotypes resistant to one of the BPH populations fromWest Java or Central Java. The six rice varieties weredetected to have not only allele of Bph3 gene, but also otherdifferent allele genes. B12344-2D-PN-42-1 and Inpari 13 weredetected to have the alleles of Bph3 dan Bph1 genes.B12512-18-SI-3-3-MR-3-PN-1, B12512-18-SI-3-3-MR-3-PN-1,BMIP46-4-1, and PTB33 were detected to have the alleles ofBph3 and bph2 genes. Meanwhile, B11007E-MR-3-2-PN-2-1-MR-1-2 was detected to have alleles of three genes: Bph3,bph2, and bph4. Nevertheless, this last line had mediumresistance to both BPH populations invested. There is apossibility that the interaction between two genes, Bph3 andbph4, occured which may affect the resistance responses ofrice varieties tested to BPH

Evaluasi Lapang Dan Identifikasi Molekuler Plasma Nutfah Padi Terhadap Keracunan Fe

Fe toxicity is one of the abiotic constraints thatcan significantly decrease rice production, especially inmarginal wetlands. The use of tolerant varieties can reducethe cost of soil processing and fertilizing. Many accessions ofrice germplasm have potential alleles that can be utilized tocreate new varieties tolerant to Fe toxicity. The objectives ofthis research were to evaluate the Fe toxicity tolerance ofrice germplasm and to analyze the genotype diversity usingSNP markers for OsIRT, Fe toxicity tolerant gene(s). Fetoxicity tolerant rice germplasms were screened in acidmarginal wetlands of Taman Bogo Experimental Station,Indonesian Soil Research Insitute, Lampung Province.Meanwhile, the genotypes performance analysis wasconducted on SNP genotyping analysis using SNP markersfor OsIRT gene(s). Based on phenotypic data of 97accessions, which were clustered into six groups, two ofthem (group 2 and group 5) consisted of the tolerantaccessions at both vegetative and generative stages. Theresults of grouping analysis of genotyping based on SNPmarkers were obtained that there were five genotypegroups: AGT, AAT, GAT, AAC, and GAC. The AGT genotypecluster was dominated by the accessions included in group1. Meanwhile, the GAT genotype cluster consisted of mixedtolerant and untolerant accessions to Fe toxicity. The GACgenotype cluster was dominated by the accessions includedin group 2. The accessions which were included in the besttolerant group, group 5, were separated in differentgenotype cluster. Based on association analysis, among thethree SNP markers, OsIRT1 was the most significant SNPmarker (P value = 0.01) which correlated to Fe toxicitytolerant on vegetative stage. Some of the selectedaccessions that were tolerant to Fe toxicity and had goodagronomic performance on acid soil with high Fe contentwere Ketan Alay, Markuti, Arias Halus, Komas a, Lantiak,and Utri Deli. These local rice accessions have the potentialalleles of OsIRT genes

Pengelompokan Dan Struktur Populasi Parasitoid Telur Trichogrammatoidea Armigera Pada Telur Helicoverpa Armigera Pada Jagung Berdasarkan Karakter Molekuler

The effectiveness of this parasitoid was influenced by its population structure in the field. However, because this parasitoid has a tiny size, it was difficult to know the population structure of this parasitoid. This problem can be overcome by using molecular characteristic i.e. molecular markers. Based on RAPD-PCR analysis from 4 selected primers on 19 DNA samples from 3 different locations it was fond, that Gunung Bunder II population was divided into sub-population and so did Cugenang population, which is indicated by their small Fst and Nm index. The Fst and Nm index for Gunung Bunder II population was 0,39 and 0,77, while 0,51 and 0,47 for Cugenang population. If we calculated the Fst and Nm for all samples together, we found that this parasitoid has a random mating pattern, which is also shown by the dendrogram. The dendrogram indicate that each sub- opulation from one location was not grouped in one cluster but distributed in every cluster

Pengembangan Set Multipleks Penanda DNA Mikrosatelit Untuk Analisis Variasi Genetik Padi Dan Kedelai

Detection of multiplex microsatellite markers in asingle capillary array on a laser detection system is traditionallyconducted with specific primers that are labelled withfluorescent dyes. An alternative method using fluorescentlabels that are appended to 5\u27 end of universal primer M13instead of to the specific primers offers flexibility indesignning multiplex panels and a less expensive method.Allele size range of microsatellite loci that can be grouped inmultiplex panels can be accurately estimated by pooling andanalyzing DNA samples from several genotypes simultaneously.This paper describes the procedure in developmentof microsatellite multiplex panels using M13 fluorescentlylabelledand estimation of allele size range based on pooledDNA strategies. Two multiplex panels of PCR amplificationproducts for rice consisting of 15 loci and three panels forsoybean consisting of 10 loci have been designed. Thepanels have been applied to 50 accessions of rice and soybeanwith fairly good results. Further characterization ofallele size range, however, is required prior to the applicationof these panels to diverse genotypes. The proceduredescribed here should be applicable in the development ofmultiplex panels of other species

Uji Ketahanan Galur-galur Harapan Padi Terhadap Penyakit Hawar Daun Bakteri (Xanthomonas Oryzae Pv. Oryzae) Ras III, IV, Dan VIII

Resistance Test of Promising Rice Lines Against Bacterial Leaf Blight (Xanthomonas oryzae pv. oryzae) Race III, IV, and VIII. Siti Yuriyah, Dwinita W. Utami, and Ida Hanarida. Development of new superior rice varieties resistant to bacterial leaf blight (BLB) has been conducted through utilizing of a wide rice germplasm, from crossing between IR64 and Oryza rufipogon. The aim of this study is to get promising rice lines that resistant to BLB race III, IV, and VIII. The experiments were conducted at greenhouse and Laboratory of Molecular Biology, ICABIOGRAD Bogor, using of 13 promising rice lines that have different levels of resistance to inoculum from pure cultures of BLB race III, IV and VIII. Of these 13 rice lines, six lines showed resistance to race III (Bio5-AC-Blas/BLB-03, Bio62-AC-Blas/BLB-03, Bio111-BC-PIR7, Bio129-BC-WBC, Bio148-Mamol, and Bio154-Mamol-Dro), one line showed resistance to race IV (Bio154-Mamol-Dro), and one line showed resistance to race VIII (Bio5-AC-Blas/BLB-03), with severity rate 1.8 to 8.1%. Of these improve lines Bio5-AC-Blas/BLB-3 and Bio 111-BCPir- 7, were released as new rice varieties, namely Inpari HDB and Inpari Blas, respectively

Keragaman Genetik 50 Aksesi Plasma Nutfah Kedelai Berdasarkan Sepuluh Penanda Mikrosatelit

Genetic Diversity of 50 Soybean Accessions Based on TenMicrosatellite Markers. Chaerani, Nurul Hidayatun, andDwinita W. Utami. Soybean accessions in germplasmcollection have increased in number as a result ofexploration, introduction as well as development or releaseof new commercial varieties. This complicates accurate andreliable evaluation of an accession for purposes of utilizationin breeding program and discrimination of a newcommercial variety for purposes of plant variety protection.The aims of this study were to identify the genetic diversityof soybean germplasm to complement the existingphenotypic database as the basis for efficient managementand accurate discrimination of commercial varieties, and toidentify potential parents for hybridizations. Fifty soybeanaccessions consisting of 12 released varieties, 32 localvarieties, and 6 introductions were analyzed usingmicrosatellite DNA markers based on semi-automatic sizingsystem. A total of 86 alleles were detected with the numberof alleles per locus ranged from 4 to 16. Rare alleles weredetected at a rate of 53% which was shown by 68% of thegenotypes. Informativeness of the microsatellite markers asmeasured by the average gene diversity (D) orpolymorphism information content (PIC) was 0.60 and 0.58,respectively. A heterozygosity level of 0.09 as detected byseven loci was observed among 64% of the genotypes. Theaverage genetic distance among the genotypes was 0.56,which indicated the relatively low polymorphism among theanalyzed soybean germplasm. Four microsatellites thatshowed a high D or PIC value (over 0.75) were able todiscriminate between accession reliably. Each soybeanaccession had different DNA microsatellite fingerprint whichcan be used for accurate discrimination to complement theprevious conventional characterizations. UPGMA clusteringseparated the 50 accessions into 10 major clusters, whichshowed no clear pattern of clustering according to varietalgroup or geographical origin. Genetic similarity dataidentified five clusters and 15 genotypes with highest interclusteror inter-genotype genetic distances which arepotential candidates to be exploited as parents inhybridizations for development of new commercial varieties

Sidik Jari DNA 88 Plasma Nutfah Ubi Jalar Di Indonesia Berdasarkan Delapan Penanda SSR

DNA Fingerprinting of Indonesian 88 Sweet PotatoGermplasm Based on Eight SSR Markers. NurulHidayatun, Chaerani, and Dwinita W. Utami. Indonesiapossesses a great number of sweet potato varieties.Understanding the diversity and distribution of this geneticresource is essential for its management and future use. Theobjective of this study was to elaborate the molecularcharacter as DNA finger print of Indonesian sweet potatogermplasm. Eight fluorescent labeled SSR primers wereused to amplify DNA of 88 sweet potato accessionsconsisting of improved varieties and landraces collectedfrom 7 islands in Indonesia. The amplified products weredetected using capillary electrophoresis method in CEQGenetic Analysis System machine. A total of 135 allelesranging from 8 to 36 alleles per locus with an average of 17alleles were generated. Each accession had a uniquemicrosatellite finger print marked by specific combination of11 to 22 alleles in 8 SSR loci. Dendrogram generated byUPGMA based on simple matching coefficients produced 4nonspecific groups at 80% similarity. The groups revealedthe possibilities that the accessions were distributed fromsimilar genetic resources

Faktor Virulensi AvrBs3/PthA Pada Ras III, Ras IV, Ras VIII, Dan IXO93-068 Patogen Hawar Daun Bakteri (Xanthomonas Oryzae Pv. Oryzae)

AvrBs3/PthA Virulence Factor of Bacterial Leaf BlightRace III, Race IV, Race VIII, and IXO93-068. Dwinita W.Utami, Triny S. Kadir, and Siti Yuriyah. Bacterial leafblight (BLB) is an important disease of rice and presentthroughout many of the rice-growing regions in the world,also in Indonesia. Xanthomonas oryzae pv. oryzae (Xoo) isthe causal agent and a member of the Protebacteria and likemany other this phyllum have a type III secretion system forprotein virulence effector (PVE) released on their pathogenicitysystem. Commonly, PVE in Xanthomonas sp., iscoded by AvrBs3/PthA family gene. This research wascoducted to identify the virulence factor of AvrBs3/PthA ondominant Indonesian BLB isolates (Race III, Race IV, RasVIII, and IXO93-068). This objective was obtained bysequence analysis through designed markers for membersof the virulence factor AvrBs3/PthA gene family (PthXo4,avrXa7#38, PthXoS and avrXa7sacB50). Results gave informationthat RaceIII is a dependent elicitor race due to noPVE transcript formed and intraceluler protein target withRLL type on NLS (nuclear localization signal). RaceIV andRaceVIII are the virulent race which PVE active formed withintraceluler protein target and have the RLL and RLLP typefor the NLS signal. While isolate IXO93-068 is a virulenisolate that active formed a PVE but the extraceluler proteintarget is due to no type of NLS. Based on cluster analysis,Race VIII has a genetic distance closely to PthXoS andavrXa7sacB50