Microbial Engineering for a Greener Ecosystem and Agriculture: Recent Advances and Challenges DOI Creative Commons
Pankaj Singh, Ranjan Singh, Sangram Singh

и другие.

Journal of Pure and Applied Microbiology, Год журнала: 2024, Номер 18(2), С. 797 - 807

Опубликована: Май 27, 2024

Tremendous increase in anthropogenic activities and natural disasters have created long term negative impacts to the crop productivity as well on our ecosystem. In debate regarding ongoing ecosystem fluctuations, there is a need explore an efficient, cost-effective, target-oriented less manpower-based technologies for sustainable development. Microbial engineering provides better solution growth of healthy environment higher agricultural over existing methods resolved challenges worldwide related development agriculture greener ecosystems. recent years, researchers are working different advanced microbial strategies such gene editing, CRISPR/Cas9, RNAi enhance potential microorganisms towards plant degradation pollutants. The present review focused applications genetically engineered inoculants

Язык: Английский

Investigating nanotoxicity: uncovering associations and predictive factors through machine learning analysis of published literature DOI
Monrudee Liangruksa, Phurinat Udomsopagit,

Khattaman Sriratanophast

и другие.

Environmental Science Nano, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

The study applies machine learning, including supervised learning and association rule mining, to analyze nanotoxicity data. It reveals key associations predictive factors, supporting safer nanomaterial design risk assessment.

Язык: Английский

Процитировано

0

Advances in microscopy-based techniques applied to the antimicrobial resistance of foodborne pathogens DOI
Balarabe B. Ismail, Wenjun Wang,

Khadijah Abdulkadir Ayub

и другие.

Trends in Food Science & Technology, Год журнала: 2024, Номер 152, С. 104674 - 104674

Опубликована: Авг. 18, 2024

Язык: Английский

Процитировано

3

Trichostatin C Synergistically Interacts with DNMT Inhibitor to Induce Antineoplastic Effect via Inhibition of Axl in Bladder and Lung Cancer Cells DOI Creative Commons
Chenyin Wang,

Lijuan Lei,

Xu Yang

и другие.

Pharmaceuticals, Год журнала: 2024, Номер 17(4), С. 425 - 425

Опубликована: Март 27, 2024

Aberrant epigenetic modifications are fundamental contributors to the pathogenesis of various cancers. Consequently, targeting these aberrations with small molecules, such as histone deacetylase (HDAC) inhibitors and DNA methyltransferase (DNMT) inhibitors, presents a viable strategy for cancer therapy. The objective this study is assess anti-cancer efficacy trichostatin C (TSC), an analogue A sourced from fermentation Streptomyces sp. CPCC 203909. Our investigations reveal that TSC demonstrates potent activity against both human lung urothelial bladder cell lines, IC50 values in low micromolar range. Moreover, induces apoptosis mediated by caspase 3/7 arrests cycle at G2/M phase. When combined DNMT inhibitor decitabine, exhibits synergistic effect. Additionally, protein analysis elucidates significant reduction expression tyrosine kinase receptor Axl. Notably, elevated concentrations correlate up-regulation transcription factor forkhead box class O1 (FoxO1) increased levels proapoptotic proteins Bim p21. In conclusion, our findings suggest promising agent HDAC inhibitory activity. Furthermore, results highlight potential utility combination treatment.

Язык: Английский

Процитировано

2

Investigating Genetic Diversity and Population Structure in Rice Breeding from Association Mapping of 116 Accessions Using 64 Polymorphic SSR Markers DOI Creative Commons
A.K. Singh, Devendra Kumar, Donato Gemmati

и другие.

Crops, Год журнала: 2024, Номер 4(2), С. 180 - 194

Опубликована: Май 23, 2024

Genetic variability in rice breeding programs plays a very crucial role. It provides an outstanding pool of superior alleles governing better agronomic and quality characters through association mapping. For greater understanding population structure, the genetic relationship among different lines is indispensable prior to setting correlation dynamic traits. In present investigation, diversity structure 116 accessions were studied understand relatedness them using 64 polymorphic SSR markers. A genotyping assessment based on markers revealed total 225 alleles, with average PIC value 0.755. The germplasm classified into three distinct subgroups analysis, utilizing both model- distance-based approaches. AMOVA analysis showed that 11% variation could be attributed differences between groups, while remaining 89% was likely due within groups. This study suggested should considered establish marker–trait associations for mapping when working core collection lines.

Язык: Английский

Процитировано

2

Microbial Engineering for a Greener Ecosystem and Agriculture: Recent Advances and Challenges DOI Creative Commons
Pankaj Singh, Ranjan Singh, Sangram Singh

и другие.

Journal of Pure and Applied Microbiology, Год журнала: 2024, Номер 18(2), С. 797 - 807

Опубликована: Май 27, 2024

Tremendous increase in anthropogenic activities and natural disasters have created long term negative impacts to the crop productivity as well on our ecosystem. In debate regarding ongoing ecosystem fluctuations, there is a need explore an efficient, cost-effective, target-oriented less manpower-based technologies for sustainable development. Microbial engineering provides better solution growth of healthy environment higher agricultural over existing methods resolved challenges worldwide related development agriculture greener ecosystems. recent years, researchers are working different advanced microbial strategies such gene editing, CRISPR/Cas9, RNAi enhance potential microorganisms towards plant degradation pollutants. The present review focused applications genetically engineered inoculants

Язык: Английский

Процитировано

2