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Journal : research of scientia naturalis

CRISPR-CAS9 MEDIATED GENETIC ENHANCEMENT OF DROUGHT TOLERANCE IN MAIZE: A MOLECULAR AND FIELD VALIDATION STUDY Hazmi, Muhammad; Nizam, Zain; Anis, Nina
Research of Scientia Naturalis Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i3.2382

Abstract

Drought is a primary constraint on maize (Zea mays L.) productivity worldwide, threatening global food security. The development of climate-resilient crops is therefore a critical priority. This study aimed to enhance drought tolerance in maize by utilizing the CRISPR-Cas9 system to edit a key negative regulator gene involved in the drought stress response pathway. The research employed an Agrobacterium-mediated transformation method to introduce the CRISPR-Cas9 construct into maize embryos. Putative edited plants were rigorously screened using molecular techniques, including PCR and Sanger sequencing, to confirm successful gene modification. Validated T1 generation lines were then subjected to controlled drought stress conditions in greenhouse trials and subsequently evaluated in multi-location field trials. The edited maize lines exhibited significantly improved physiological and agronomic performance under water-deficit conditions, including enhanced photosynthetic efficiency, reduced leaf water loss, and a 15-20% increase in grain yield compared to non-edited wild-type controls. This study demonstrates the efficacy of CRISPR-Cas9 for developing drought-tolerant maize, offering a precise and rapid strategy for crop improvement to mitigate the impacts of climate change.
MOLECULAR SIGNATURES OF ENVIRONMENTAL EXPOSURE: A BIOMOLECULAR APPROACH TO ECOSYSTEM HEALTH ASSESSMENT Hazmi, Muhammad; Suzuki, Ren; Tan, Jaden; Bauer, Tim
Research of Scientia Naturalis Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i1.3469

Abstract

Escalating environmental pollution and climate-related stressors necessitate sensitive and mechanistically grounded tools for assessing ecosystem health. Traditional ecological indicators often detect degradation only after substantial biological damage has occurred, limiting early intervention capacity. Molecular signatures derived from multi-omics technologies offer high-resolution insight into sublethal biological responses to environmental exposure. This study aims to identify and validate integrated molecular signatures associated with contaminant gradients and to evaluate their predictive capacity for ecosystem health assessment across aquatic environments. A multi-site cross-sectional design was implemented involving 180 sentinel organisms collected along defined pollution gradients. Transcriptomic, proteomic, and metabolomic profiling was conducted using high-throughput sequencing and mass spectrometry platforms. Multivariate statistical modeling, including principal component analysis and structural equation modeling, was applied to link molecular perturbations with contaminant concentrations and ecological indices. Significant increases in differentially expressed genes, altered protein abundance, and metabolite perturbation indices were observed in high-exposure sites (p < 0.001). Molecular signatures accurately classified exposure categories with 91% predictive accuracy and significantly predicted biodiversity decline (? = –0.68, p < 0.001). Integrated multi-omics molecular signatures provide sensitive, early-warning indicators of ecosystem impairment, enabling mechanistic linkage between environmental exposure and ecological degradation.
Co-Authors AA Sudharmawan, AA Abadi, Taufan Aditya Dimas Pratama Alfiansyah, Gusti Amri Gunasti Anas, Brilliant Andriya Risdwiyanto Anis, Nina Aprilia, Aura Denis Arnes Yuli Vandika Arum, Laras Sekar Azmi Saleh Bambang Sugeng Dwiyanto Bambang Sugiharto Bauer, Tim Dewa Oka Suparwata Djoko Wijono, Djoko Ekawardani, Naeda Tamara Fatechan, Billy Fitriah S. Jamin Fodesta, Fiana Galuh, Joko Dwi H, Prames Aulia Sukma Hakim, Nur Handoko, Wimpi Hanifah Nurul Muthmainah Harris, Natasha Hartoyo, Rudi Hasbi, Hudaini Henik Prayuginingsih Henik Prayuginingsih Hidayah Murtiyaningsih Hilmi, Ahmad Iqbal Iskandar Umarie Iwan Harsono Iwan Wahyudi Jemadi, Jemadi Jiwon, Seo Jordan, Michael Judijanto, Loso Kingh, Ruby Kosjoko Kosjoko Kusuma, Moch Nur Hadi Lenny Widjayanthi Mayanda, Bernicha Dwivani N, Yodick Febrian Nanang Saiful Rizal Netty Ermawati Nizam, Zain Oktarina Oktarina Oktarina P, Vania Yanuarita P Pamuji, Slamet Parawita Dewanti Pareira, Magdalena Sunarty Podesta, Fiana Prasetyo, Vandi Putranto Pratama, Yusni Wahyu Prayogi, Fahrur Priyono, Pujo Rahayu, Reni Puji Ramadani, A. Rifqi Ramadhan, Moch. Alfian Rizky Restanto, Didik Restanto, Didik Puji Ridho, Atok Ainur Rizqi, Putra Dwi Roynaldy, Roynaldy Rudi Hartoyo Sari, Meni Sholeh Avivi Sigit Soeparjono Siti Aisyah Slameto Slameto Sri Hartatik Suroso , Bejo Suroso, Bejo Suzuki, Ren Syam Gunawan Tan, Jaden Teguh Hari Santosa Teguh Hari Santosa Totok Dwi Kuryanto Tri Agus Siswoyo TRI HANDOYO Trijulianto, Andi Bagas Utami, Erisa Putri Widiarti, Wiwit Wijaya , Insan Wijaya, Insan Wulanjari, Distiana Zulfikhar, Rosa