Sudarsono Sudarsono
PMB Lab., Department of Agronomy and Horticulture, Faculty of Agriculture, Institut Pertanian Bogor. Jl. Meranti, Darmaga Campus, Bogor 16680, West Java, Indonesia

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Short Communication: Cross-species amplification of microsatellite markers developed for Jatropha curcas within five species of Jatropha Darmawan Saptadi; Bambang Heliyanto; Sudarsono Sudarsono
Biodiversitas Journal of Biological Diversity Vol. 21 No. 11 (2020)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d211111

Abstract

Abstract. Saptadi D, Heliyanto B, Sudarsono. 2020. Short Communication: Cross-species amplification of microsatellite markers developed for Jatropha curcas within five species of Jatropha. Biodiversitas 21: 5072-5076. The transferability of SSR markers can be used to access the genetic diversity of related species. There are four close relatives of Jatropha curcas L in Indonesia, which can be utilized as a new diversity source through the interspecific crossing. This research was conducted to determine the ability of cross-species amplification of SSR markers developed from J. curcas to other Jatropha species (J. integerrima, J. multifida, J. gossypifolia, J. podagrica). It also investigated the relationship between these species. Out of 28 primers checked,11 primers showed cross-species amplification in all the species tested. Primer pairs EU099519, EU099528, and EU099525 have no transferability to other species. The overall percentage of polymorphism (PP) among all species tested was 95%, with the mean genetic similarity (GS) was 0.34. Least PP (17.35%) and highest GS (0.60) was found between pairs of J. podagrica and J. multifida. The correlation between the PP with GS was relatively high (0.75). The farthest and closest genetic distance was found between J. curcas/J. gossypifolia and J. podagrica/J. multifida, respectively. Further, selected primers from this study can be utilized in species differentiation, molecular identification of interspecific hybrids, and exploiting the genetic resource.
Mining and validating novel SSR markers based on coconut (Cocos nucifera L.) whole genome and their use for phylogenetic analysis ANDI NADIA NURUL LATHIFA HATTA; DEWI SUKMA; ISMAIL MASKROMO; SUDARSONO SUDARSONO
Biodiversitas Journal of Biological Diversity Vol. 23 No. 10 (2022)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d231019

Abstract

Abstract. Hatta ANNL, Sukma D, Maskromo I, Sudarsono. 2022. Mining and validating novel SSR markers based on coconut (Cocos nucifera L.) whole genome and their use for phylogenetic analysis. Biodiversitas 23: 5122-5131. The coconut (Cocos nucifera L.) genome sequences were available at the chromosome level in 2019, and they can be used to develop the whole genome SSR markers. This study aimed to conduct in silico analysis of the whole coconut genome to mine SSR sequences, design SSR markers distributed across coconut chromosomes, validate the designed primers to generate SSR markers, and use them for the phylogenetic analysis of coconuts. The SSR loci were mined from publicly available coconut genomes. Targeted primers for amplifying 20 dinucleotide SSR loci were selected and used for phylogenetic analysis of coconuts. The SSR mining identified 543,774 dinucleotide repeat motifs across the coconut genome, and most of the dinucleotide SSRs are AG (46.18%) and AT (40.03%) repeats. Primer pairs targeted to amplify 876 SSR loci and distributed in 16 coconut chromosomes were successfully designed and deposited in a public data repository for public access. The 237 SSR primer loci were novel and could generate new SSR markers. Among 20 selected and tested primers, 18 produced SSR markers, and 15 pairs yielded polymorphic markers when used to evaluate 25 coconut accessions. The analysis showed that the designed SSR primers were informative for evaluating coconut genetic diversity and phylogenetic analysis.