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INDONESIA
HAYATI Journal of Biosciences
Published by Institut Pertanian Bogor
ISSN : 19783019     EISSN : 20864094     DOI : -
Core Subject : Science, Agriculture,
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences
HAYATI Journal of Biosciences (HAYATI J Biosci) publishes articles and short communication in tropical bioscience fields such as development, biotechnology, biodiversity and environmental issues. HAYATI J Biosci covers wide range of all life forms topics including virus, microbes, fungi, plants, animal and human. HAYATI J Biosci has been also indexed/registered in Crossref, DOAJ, CABI, EBSCO, Agricola and ProQuest.
Arjuna Subject : -
Articles 1,077 Documents
 103   104   105   106   107 
Genome-Wide SNP Discovery and Population Structure Analysis of 244 Indonesian Local Rice Accessions Satrio, Rizky Dwi; Fendiyanto, Miftahul Huda; Nugroho, Satya; Hairmansis, Aris; Miftahudin
HAYATI Journal of Biosciences Vol. 33 No. 1 (2026): January 2026
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.33.1.142-152

Abstract

Single Nucleotide Polymorphism (SNP) markers are essential tools for the genetic management and breeding of rice, enabling precise characterization of genetic diversity. However, SNP datasets specifically developed for analyzing the population structure of Indonesian local rice remain limited. This study aimed to identify polymorphic SNP markers and analyze the lineage and population structure of 244 Indonesian local rice accessions. BAM files of these accessions were obtained from the 3K Rice Genome Project via the International Rice Informatics Consortium. High-quality SNPs were generated through variant calling and stringent filtering, followed by annotation and population analyses using IR64, DJ123, and Nipponbare as references. A total of 3,839,961 high-quality SNP loci were identified across the 12 rice chromosomes. Hierarchical clustering and principal coordinate analysis consistently grouped the accessions into three major clusters, corresponding to Indica, Japonica, and admixed groups. Population structure analysis confirmed two main subpopulations: Indica and Japonica, with Japonica further divided into Temperate and Tropical subgroups. Eleven accessions showed admixed ancestry. This study provides essential insights into the genetic diversity and population structure of Indonesian local rice, supporting genetic resource conservation, trait discovery, and breeding efforts.
Anticancer Activities and Metabolite Profiling of UHPLC-HRMS Method from Chrysanthemum x morifolium (Ramat.) Hemsl Leaves Maesaroh, Imas; Barliana, Melisa Intan; Abdulah, Rizky; Muhaimin, Muhaimin
HAYATI Journal of Biosciences Vol. 33 No. 1 (2026): January 2026
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.33.1.167-180

Abstract

The Chrysanthemum morifolium Ramat, traditionally used for cancer treatment, including breast cancer, possesses anticancer properties. The aim of this study is metabolite profiling using ultra-high-performance liquid chromatography in conjunction with the high-resolution mass spectrometry (UHPLC-HRMS) technique and its correlation with the cytotoxic activity of the extract and ethyl acetate fraction of Chrysanthemum x morifolium (Ramat.) Hemsl leaves on cancer cells. The ethyl acetate fraction from the hydrolyzed ethanol extract of (Chrysanthemum x morifolium (Ramat.) Hemsl) leaves has anticancer activity against the MCF-7 breast cancer cells. Metabolite profiling was used to understand the presence of metabolites that have anticancer activity. UHPLC-HRMS was used to profile their metabolites. Compound Discoverer 3.3 software finished data processing and metabolite annotation. Anticancer activity was performed using the 2-[2-methoxy-4-nitrophenyl]-3[4-nitrophenyl]-5[2,4-disulfophenyl]-2H-tetrazolium (WST-8) assay. As many as 57 secondary metabolites were identified by UHPLC-HRMS analysis. Secondary metabolites that have the potential as anti-breast cancer are glycitein, diosmetin, kaempferol, esculetin, scopoletin, dihydroartemisinin, and Chrysin, with successive percentages of 31.39%, 19.91%, 5.61%, 2.63%, 0.82%, 0.14%, and 0.05%. Ethyl acetate fraction showed stronger cytotoxic activity than ethanol extract against MCF-7 cells with IC50 values of 66.31 ppm at 24 hours incubation and 40.35 ppm at 48 hours. Further research can be conducted on the isolation of flavonoids from the ethyl acetate fraction, as well as the analysis of cell cycle apoptosis stimulation and gene expression mechanisms.
Anti-glucosidase Activity and Antioxidant Capacity of Premna serratifolia from Sintang, Kapuas Hulu, and Sambas District, West Kalimantan, Indonesia Hadiarti, Dini; Sunandar, Ari; Cipta, Indra; Kurniawan, Rizmahardian Ashari
HAYATI Journal of Biosciences Vol. 33 No. 1 (2026): January 2026
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.33.1.153-166

Abstract

The secondary metabolites in plants such as Premna serratifolia (P. serratifolia) are influenced by their growing locations, which in turn affects their bioactivity. This study aimed to compare the antioxidant activity and α-glucosidase inhibition of P. serratifolia leaf extracts from the Sintang, Kapuas Hulu, and Sambas districts in West Kalimantan. Antioxidant capacity was evaluated using the DPPH method, while the reduction of α-glucosidase activity was assessed using the PNPG method. Functional groups and active compounds were identified using FTIR and UHPLC-Q-Orbitrap HRMS. The findings indicated that the extract from Kapuas Hulu, obtained through maceration (KHM), exhibited the highest antioxidant activity (IC₅₀ 18.39) and contained the most total phenolic content (TPC). The best α-glucosidase inhibition activity (IC₅₀ 4194.14) was found in the extract from Sambas obtained through Soxhlet extraction (SSI), which had the highest total flavonoid content (TFC). Principal Component Analysis (PCA) revealed that the functional groups and active compounds of P. serratifolia from Kapuas Hulu and Sintang were similar, as both regions are located in eastern West Kalimantan. Additionally, Partial Least Squares (PLS) analysis revealed that the C-H alkane, O-H, and isoferulic acid were the most influential compounds in determining antioxidant activity. At the same time, the C=O group and NP-000308 predominantly influenced α-glucosidase inhibition.
Plant-Derived Exosome-like Nanoparticles from Emprit Ginger (Zingiber officinale var. Amarum) and Its Potential Metabolite as Functional Food Ingredients Rukmi, Paramita Sadha Dayinta; Ratnadewi, Diah; Wijaya, Christofora Hanny
HAYATI Journal of Biosciences Vol. 33 No. 1 (2026): January 2026
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.33.1.181-195

Abstract

The Plant-Derived Exosome-like Nanoparticles (PDENs) are nano-sized vesicles secreted by plants that carry various bioactive compounds and have shown promise for use in functional food applications. This study investigated PDENs isolated from emprit ginger (Zingiber officinale var. Amarum), a local ginger variety renowned for its health-promoting properties. PDENs were extracted from rhizomes harvested at 8, 10, and 12 months, and analyzed for total phenolic content (TPC), total flavonoid content (TFC), and antioxidant capacity. The best-performing sample based on these parameters was selected for further metabolite profiling using LC-QTOF-MS. A total of 41 compounds were identified from the selected GDEN and ginger extract samples—32 compounds in the GDEN and 24 in the extract. These compounds belong to various groups, including amino acids, flavonoids, phenolics, lipids, terpenoids, vitamins, and others. Compound identification was based on public databases and literature concerning their potential as functional food ingredients. Among these, amino acids were the most abundant group in the GDENs, whereas phenolics were the dominant group in the ginger extract. This study underscores the potential of ginger-derived exosome nanoparticles as a rich source of bioactive compounds, supporting their further exploration and application in the development of functional food products. The balanced metabolite profile observed in GDENs highlights their unique advantages over conventional extracts. These findings reinforce the potential of emprit GDENs as promising candidates for functional food development.
Melissopalynological Analysis Revealed a Higher Pollen Diversity in Stingless Bees than in Honey Bees Sayusti, Tiara; Raffiudin, Rika; Djuita, Nina Ratna; Perwitasari-Farajallah, Dyah; Batubara, Irmanida; Priawandiputra, Windra; Sitompul, Rahmadi; Jahnk, Svea Lina; Behling, Hermann
HAYATI Journal of Biosciences Vol. 33 No. 1 (2026): January 2026
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.33.1.196-203

Abstract

Identifying floral resources used by honey bees and stingless bees is essential for sustainable beekeeping and understanding pollination ecology. This study compared the diversity of floral resources utilized by the honey bee Apis cerana and stingless bees Geniotrigona thoracica and Heterotrigona itama based on pollen in honey. Bee colonies were in the same Flora Nauli Beekeeping area, Pematang Siantar, North Sumatra, Indonesia, ensuring equal access to similar surrounding floral resources. Honey samples were collected, and pollen grains were extracted, acetolysed, and analyzed by counting 1,200 grains to determine frequency classes. Pollen diversity was calculated using the Shannon–Wiener index (H′). Stingless bee honey contained more diverse pollen than A. cerana, which only contained pollen from the Arecaceae family. Heterotrigona itama and G. thoracica honey contained pollen from 20 and 11 plant families, respectively. Each species had a distinct predominant pollen type (>45%): Cocos nucifera (A. cerana), Sapotaceae type (G. thoracica), and Casuarinaceae type (H. itama). A higher pollen diversity index was also observed in H. itama (1.05-1.83) than in G. thoracica (0.34–1.64) and A. cerana (0.66). These results indicate that stingless bees are more generalist than honey bees, highlighting their ecological role in supporting pollination networks in tropical agroecosystems.
Enhanced Biodegradation of DDT by White-Rot Fungus Phlebia brevispora TMIC34596 in a Nutrient-Rich Medium at Short Incubation Time Boelan, Erly Grizca; Purnomo, Adi Setyo; Fajriah; Kamei, Ichiro; Leba, Maria Aloisia Uron; Missa, Hildegardis; Baunsele, Anselmus Boy; Kopon, Aloysius Masan
HAYATI Journal of Biosciences Vol. 33 No. 1 (2026): January 2026
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.33.1.250-255

Abstract

1,1,1-Trichloro-2,2-bis(4-chlorophenyl) ethane (DDT) is a persistent organic pollutant that remains a global environmental concern due to its high toxicity and recalcitrance. This study investigated the ability of the white-rot fungus Phlebia brevispora to degrade DDT in a nutrient-rich Potato Dextrose Broth (PDB) medium under a short incubation time. The fungus degraded 64.25% of DDT within 7 days. Metabolites identified by GC/MS were DDE (1,1-dichloro-2,2-bis(4-chlorophenyl) ethylene), DDD (1,1-dichloro-2,2-bis(4-chlorophenyl) ethane), and DDMU (1-chloro-2,2-bis(4-chlorophenyl) ethylene), indicating both reductive dechlorination and dehydrogenation pathways. The results demonstrate that P. brevispora has strong potential for rapid biotransformation of DDT in nutrient-rich environments.
Assessing Climate Factors and Cyanobacterial Abundance on Microcystins Prediction Using Artificial Neural Network: A Case Study in Malaysia’s Drinking Water Reservoir Ahmad, Nurul Awatif; Sinang, Som Cit; Zainuddin, Nurul Hila; Abdul Rajak, Noorazrin
HAYATI Journal of Biosciences Vol. 33 No. 1 (2026): January 2026
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.33.1.204-218

Abstract

Toxic cyanobacterial blooms often lead to contamination with cyanotoxins, particularly microcystins. This study aims to examine microcystins persistence in a selected public water supply system and predict their concentration at various points based on climate factors and cyanobacterial abundance. Using the Enzyme-Linked Immunosorbent Assay (ELISA) method, microcystins concentrations were quantified at various points of the water supply system, including the raw water intake, reservoir, water treatment plant outlet, and distribution system. The highest microcystins concentration was detected at the reservoir with a mean concentration of 2.63 μg/L. An artificial neural network (ANN) model was developed to predict microcystins concentration. Rainfall, temperature, chlorophyll-a, phycocyanin (BGA-PC), and mcyE gene copy numbers were used as inputs, while microcystins concentrations at various water sampling points served as outputs of the multilayer perceptron ANN. Using the Statistical Package for the Social Sciences (SPSS, ver. 29), three networks with scaled conjugate gradient, sigmoid functions, and one hidden layer with 4 to 13 neurons were trained and validated to determine the best configuration that fits the observed data. The result shows a satisfactory prediction at the reservoir (Point 2) with low values of error (root mean square error = 0.065) and high coefficient values (R2 = 0.894) between experimental and predicted values, which are below the maximum value of the actual concentrations. Phycocyanin (BGA-PC) and chlorophyll-a had the most positive effects in predicting microcystins concentrations. These results indicate that ANN modelling can be a reliable tool for predicting microcystins contamination in drinking water reservoir.
Entomological Assessment of Mosquito Diversity and Density in Negara District, Bali: Implications for Vector-Borne Disease Surveillance Widyawati, Dani Sari; Duhita, Maharani Retna
HAYATI Journal of Biosciences Vol. 33 No. 1 (2026): January 2026
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.33.1.256-263

Abstract

Indonesia has one of the highest prevalences of malaria in Asia, with annual case numbers on the rise. Despite being a major international tourist destination, the Negara Sub-district in Jembrana Regency, Bali, continues to experience notable incidences of both diseases. Entomological surveys are crucial for evaluating mosquito diversity and density, which supports effective vector control strategies. This study, conducted in five villages from September to October 2024, employed entomological survey methods to calculate the House Index (HI), Container Index (CI), Breteau Index (BI), and Density Figure (DF). Mosquito species diversity was assessed using the Shannon-Wiener diversity index and evenness (E) and dominance (C) metrics. Results indicated that HI, CI, and BI values were within the low transmission risk category, with a DF of 4 and a larva-free rate (ABJ) of ≤95%. Six mosquito species were identified: Aedes aegypti, Aedes albopictus, Anopheles dirus, Armigeres subalbatus, Culex quinquefasciatus, and Mansonia uniformis. The species diversity was moderate (1 < H' ≤ 3), even species distribution (E > 0.6), and low dominance (C ≤ 0.5). These findings suggest a relatively low risk of vector-borne disease transmission. However, given the presence of multiple disease-vector species and the region's dynamic human activity, continuous entomological surveillance remains essential to anticipate population surges and strengthen disease prevention efforts.
Morphological and Genetic Variation of Filopaludina javanica (von dem Busch, 1844) (Gastropoda: Viviparidae) from Madura Island, Indonesia Nugroho, Hafiidh Haqqu; Ambarwati, Reni; Isnaningsih, Nur Rohmatin; Rahayu, Dwi Anggorowati
HAYATI Journal of Biosciences Vol. 33 No. 1 (2026): January 2026
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.33.1.264-277

Abstract

Filopaludina javanica (von dem Busch, 1844) is a freshwater gastropod species in the Viviparidae family. Filopaludina javanica is widely distributed in freshwater waters in Java (including Madura), Sulawesi, Sumatra, Borneo, Papua, Thailand, and Vietnam. The morphological, morphometric, and molecular characterization studies of F. javanica based on the COI gene originating from Madura Island are still quite limited. Therefore, this study aims to determine the morphological variations, morphometry, and molecular characters of F. javanica in Bangkalan, Madura. The samples used are the Taxonomy Laboratory collection from Madura Island, followed by morphological observations, morphometry, and analysis of DNA: isolation, amplification, electrophoresis, and COI gene sequencing. Morphological and morphometric variations in F. javanica from Madura Island showed seven types of morphological variations. Principal Component Analysis (PCA) scatterplot results showed morphometric clustering of F. javanica based on morphological type. Identification of F. javanica using BLAST and comparison with the GenBank database revealed five nucleotide base variations, with an overall genetic distance of 0.031. Therefore, the phylogenetic tree shows that F. javanica from Madura Island belongs to the same clade as F. javanica from Sarawak, West Java, and North Kalimantan.
Spatial and Temporal of Meroplankton in a Semi-enclosed Bay: Insights from Ambon Bay Ruli, Fismatman; Likumahua, Sem; Salamena, Gerry Giliant; Romdon, Ahmad
HAYATI Journal of Biosciences Vol. 33 No. 1 (2026): January 2026
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.33.1.219-231

Abstract

Meroplankton is a temporary planktonic phase of marine organisms. Despite their critical role in the ecosystem, the study of their distribution and dynamics in Ambon Bay is still limited. Therefore, this study aims to investigate the spatial distribution and dynamics of meroplankton in Ambon Bay. Study conducted during the southeast monsoon (August and September) to transition II (October and November) 2022. Meroplankton was captured using a plankton net towed vertically from approximately 20 m, near the bottom, to the surface, and immediately preserved in formaldehyde (final concentration of 4%). A stemple pipette was used for subsamples, and they were observed under a stereo microscope. Thirteen groups of meroplankton were recorded, with three groups (Bryozoa, Phoronida, and Brachiopoda larvae) being newly reported in this area. Bivalvia and Polychaeta larvae had the highest abundance. Meroplankton abundance was consistently higher in the inner Ambon Bay (240.62-3029.02 ind.m-3) than in the outer Ambon Bay (85.63-955.41 ind.m-3), highlighting the ecological significance of this area as a potential spawning and larval nursery ground. Most meroplankton taxa were recorded across all sampling seasons, except for Phoronida and Stomatopoda, which were only observed during the southeast monsoon. In comparison to previous studies, the abundance of Echinodermata peaked during the transition I to the southeast monsoon, whereas Polychaeta exhibited peak abundance during the northwest monsoon. This study offers significant insights into the diversity, spatial distribution, and dynamics of meroplankton in Ambon Bay.

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