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Development of Few Significant SNP Markers from Transcriptomic Data for Selection of Sengon (Falcataria falcata (L.) Greuter and R. Rankin) Resistant to Boktor Stem Borer and Gall Rust Disease Nugroho, Aditya; Anita, Vilda Puji Dini; Matra, Deden Derajat; Siregar, Iskandar Zulkarnaen; Siregar, Ulfah Juniarti
HAYATI Journal of Biosciences Vol. 31 No. 1 (2024): January 2024
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.31.1.110-125

Abstract

Sengon (Falcataria falcata (L.) Greuter and R. Rankin) plantations in Indonesia are threatened by attacks from Boktor stem borers and gall rust disease. Controlling pests and diseases is difficult therefore, planting resistant trees obtained from tree selection programs is necessary. Currently, genomic breeding often incorporates GWAS, which uses thousands of SNP markers to identify markers with significant associations with the traits studied. This study aimed to bypass such expensive studies by identifying and developing SNP markers from sequences of putative resistance genes to Boktor stem borer and gall rust disease, identified from sengon transcriptomic data analysis. A total of 496,194 putative SNP sites were identified from transcriptomic sequences using the SAMtools and BFCtools programs, of which 119 SNP sites were associated with resistance genes. Of the 101 non-synonymous SNPs selected, only 12 were located in the conserved domain of each gene and were used for primer design. Of the 13 primers designed, only 10 were successfully amplified. Validation of 10 developed SNP markers on 100 sengon accessions using the HRM method confirmed a significant association between SNP markers and resistance traits, with a -log 10 (P-value) between 10.49 and 16.63. A few SNPs markers developed from putative resistance gene sequences are associated with resistance traits in sengon. Therefore, the SNP markers could be applied in selection programs for sengon trees resistant to Boktor stem borers and gall rust disease.
Mangroves as Carbon Sequesterers: Diversity and Carbon Estimation Study in Pantai Mekar Village, Muara Gembong District, Bekasi Regency Amin, Septian Faris Al; Pangestu, Agung Yoga; Dharma, Yossi; Sari, Nurika Arum; Maulidia, Oktarina; Octaviani, Eti Artiningsih; Anita, Vilda Puji Dini; Hasibuan, Mhd Muhajir; Dimyati, Ahmad Iqbal Wahid; Rahmasari, Shinta Nur; Agus, Ferri; Salimah, Wardah
Jurnal Biologi Tropis Vol. 25 No. 1 (2025): Januari - Maret
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i1.8618

Abstract

Mangrove forests are important for storing carbon dioxide (CO2) and reducing the effects of climate change. Indonesia possesses 20% of the global mangrove cover, which substantially impacts global climate mitigation efforts. However, understanding of the diversity of plant species in mangrove forests remains limited, as evidenced by the high rate of conversion of mangrove areas into aquaculture ponds, resulting in mangrove degradation. Our research in Pantai Mekar Village was conducted to augment information on mangrove plant species diversity in Indonesia, specifically in Bekasi Regency. Mangrove vegetation data were collected in Pantai Mekar Village, Muara Gembong, Bekasi from 8 to 12 July 2019. Data were collected using 2x2 m (seedlings and understory), 5x5 m (saplings), and 10x10 m (trees) plots. Importance value index (INP), Shannon-Wiener species diversity, evenness, richness, and carbon stock estimation were utilized to analyze the data. The study documented 21 species from 15 families. Species from the Acanthaceae family were predominant in the study site. Avicennia alba was the species with the largest biomass and carbon content. The estimated biomass contained in Mekar Beach is 380.42 tonnes/Ha with carbon sequestration of 190.21/Ha.