4.5 Review

Cotton Biotechnology: An Efficient Gene Transfer Protocol via Agrobacterium tumefaciens for a Greater Transgenic Recovery

Journal

JOURNAL OF NATURAL FIBERS
Volume 19, Issue 15, Pages 11582-11596

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/15440478.2022.2029662

Keywords

Gossypium hirsutum L; gene transfer; meristematic shoot; blotting techniques

Funding

  1. Research Foundation of the University of Istanbul [162/15012004, UDP27306042004]
  2. TUBITAK Research Institute for Genetic Engineering and Biotechnology [,5003301]

Ask authors/readers for more resources

Cotton, a crop of great economic value, is grown in over 70 countries and supports the livelihoods of 250 million people. The development of cotton varieties with enhanced stress tolerance, improved fiber quality, higher nutritional content, and increased yield is the main objective in cotton biotechnology. Tissue culture and gene transfer techniques, such as Agrobacterium-mediated transformation, have been successfully used to achieve this goal. In this study, a highly reproducible protocol for the production of transgenic cotton plants expressing desired traits was reported using Agrobacterium tumefaciens-mediated transformation.
Due to its economic worth, cotton (Gossypium hirsutum L.) is grown in almost 70 countries and provides income for more than 250 million people. Therefore, producing cotton with having some desired characteristics that includes extended biotic and abiotic stress tolerance, improved fiber quality, promoted nutritional content and increased yield is the main objective for cotton biotechnology. To achieve this goal, many tissue culture and gene transfer techniques are being developed and used throughout the years. As applications for the gene transfer, the Agrobacterium-mediated, particle bombardment and pollen tube pathway-mediated methods are most successfully used and in conjunction with this, meristematic shoot tips as explants are efficiently utilized in gene transfer methods. In this study, the main objective was to report an efficient protocol for a greater recovery of transgenic cotton plant using Agrobacterium tumefaciens-mediated transformation. For this, one of the cotton strains (Cukurova 1518) cultivated widely in Turkey was chosen and meristematic shoot tips as explant sources, and GFP and NPTII genes as reporter and marker genes were used, respectively. The effective post co-cultivation conditions were provided via using the selection regime in vitro. Finally, the current results showed highly reproducible protocol developed could be used to produce transgenic cotton plants expressing desired traits or can be utilized as a model system to study the expression of particular genes.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Materials Science, Textiles

Genetic Diversity and Phylogenetic Analyses of Turkish Cotton (Gossypium HirsutumL.) Lines Using ISSR Markers and ChloroplasttrnL-FRegions

Asli Hocaoglu-Ozyigit, Bihter Ucar, Volkan Altay, Ibrahim Ilker Ozyigit

Summary: This study investigated the genetic diversity and phylogenetic relationships of 22 widely cultivated cotton lines in Turkey. The study found a moderate level of genetic diversity among the genotypes. Sequence comparison revealed the most similar sequences to known species, and a phylogenetic tree was constructed to display the genetic similarities between different families.

JOURNAL OF NATURAL FIBERS (2022)

Article Materials Science, Textiles

Economic Impacts of Bt (Bacillus thuringiensis) Cotton

Dilek Tokel, Bedriye Nazli Genc, Ibrahim Ilker Ozyigit

Summary: The widespread adoption of Bt-cotton technology globally has brought economic and environmental benefits to farmers while increasing cotton yield. Although there are debates about sustainability and long-term benefits, several countries have already implemented this technology, with more expected to follow suit in the future.

JOURNAL OF NATURAL FIBERS (2022)

Article Biochemistry & Molecular Biology

Multidimensional Scaling of the Mineral Nutrient Status and Health Risk Assessment of Commonly Consumed Fruity Vegetables Marketed in Kyrgyzstan

Hasan Can, Ibrahim Ilker Ozyigit, Merve Can, Asli Hocaoglu-Ozyigit, Ibrahim Ertugrul Yalcin

Summary: Intensive production of fruits and vegetables leads to heavy metal accumulation, raising concerns about food safety and supply. This research in Kyrgyzstan analyzed mineral nutrient and heavy metal concentrations in commonly consumed fruity vegetables, finding red capia pepper to have the highest daily nutritional value. Despite variations in elemental content, all vegetables were within safe limits for consumption.

BIOLOGICAL TRACE ELEMENT RESEARCH (2022)

Article Biochemistry & Molecular Biology

Molecular interactions of trichoderma β-1,4-glucosidase (ThBglT12) with mycelial cell wall components of phytopathogenic Macrophomina phaseolina

Mohammad Hakim Mohammad Hood, Tengku Haziyamin Tengku Abdul Hamid, Roswanira Abdul Abdul Wahab, Fahrul Zaman Huyop, Yilmaz Kaya, Azzmer Azzar Abdul Abdul Hamid

Summary: This study demonstrates that ThBglT12 can disrupt the cell wall of the phytopathogenic fungus M. phaseolina by interacting with its components, and therefore inhibiting its growth.

JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS (2023)

Review Materials Science, Textiles

Cotton Agriculture in Turkey and Worldwide Economic Impacts of Turkish Cotton

Dilek Tokel, Ilhan Dogan, Asli Hocaoglu-Ozyigit, Ibrahim Ilker Ozyigit

Summary: Cotton is a vital product that contributes to the wealth and employment opportunities of humanity. Turkey is one of the major cotton-producing countries in the world and is known for its high yield and production of non-GMO cotton. The Turkish textile industry serves as a driving force for the country, generating foreign exchange and creating numerous job opportunities.

JOURNAL OF NATURAL FIBERS (2022)

Article Environmental Sciences

An investigation on environmental pollution due to essential heavy metals: a prediction model through multilayer perceptrons

Murat Sari, Ibrahim Ertugrul Yalcin, Mahmut Taner, Tahir Cosgun, Ibrahim Ilker Ozyigit

Summary: This research predicts heavy metal levels in plants and soils using artificial intelligence, specifically the artificial neural network (ANN), in order to overcome the high cost and time-consuming nature of laboratory procedures. The ANN model estimates the concentrations of heavy metals based on the concentrations of copper and zinc in plant and soil samples. The study shows that considering additional factors such as copper, zinc, location, and plant parts can significantly reduce relative errors.

INTERNATIONAL JOURNAL OF PHYTOREMEDIATION (2023)

Article Biotechnology & Applied Microbiology

Interactive effects of cold and temperate conditions on growth and biochemical content of Antarctic microalga Chlorella variabilis YTU.ANTARCTIC.001

Benan Inan, Basak Akin, Ilayda Dilara Unlue, Anil Tevfik Kocer, Arzu celik, Meyrem Vehapi, Yilmaz Kaya, Didem Ozcimen

Summary: The aim of this study was to isolate and identify Antarctic microalgae and examine the growth responses and biochemical contents of Chlorella variabilis under different cultivation conditions. The specific growth rate, as well as the carbohydrate, protein, chlorophyll-a, and beta-carotene contents of the microalgae, varied with temperature, nitrogen concentration, and light cycle. This study highlights the efficient production of C. variabilis under temperate conditions by manipulating the growth parameters.

JOURNAL OF APPLIED PHYCOLOGY (2023)

Article Environmental Sciences

Forecasting contamination in an ecosystem based on a network model

Murat Sari, Ibrahim Ertugrul Yalcin, Mahmut Taner, Tahir Cosgun, Ibrahim Ilker Ozyigit

Summary: This paper introduces a new approach using artificial neural networks (ANNs) to predict heavy metal pollution based on ecological factors, removing obstacles like time-consuming laboratory procedures and high implementation costs. Pollution prediction is crucial for safety, sustainable development, and effective decision-making. By applying ANNs to the collected data of 800 plant and soil materials, this study accurately predicts pollution, offering a promising and pioneering method for scientists, conservationists, and governments to develop effective work programs for a functioning ecosystem. The relative errors for each polluting heavy metal in training, testing, and holdout data are found to be significantly low.

ENVIRONMENTAL MONITORING AND ASSESSMENT (2023)

Article Biochemistry & Molecular Biology

Comparative modeling and enzymatic affinity of novel haloacid dehalogenase from Bacillus megaterium strain BHS1 isolated from alkaline Blue Lake in Turkey

Batool Hazim Wahhab, Habeebat Adekilekun Oyewusi, Roswanira Abdul Wahab, Mohammad Hakim Hood, Azzmer Azzar Abdul Hamid, Marwan Salih Al-Nimer, Mohamed Faraj Edbeib, Yilmaz Kaya, Fahrul Huyop

Summary: This study presents the initial structural model of L-haloacid dehalogenase (DehLBHS1) from Bacillus megaterium BHS1, providing insights into its structural features and enzymatic mechanisms involved in the degradation of halogenated pollutants. Key amino acid residues were identified to play critical roles in catalysis and recognition of haloalkanoic acid. Molecular docking and dynamics simulations supported the preference for 2,2DCP, and MM-PBSA calculations revealed its importance in bioremediation. These results aid in understanding the interactions between the enzyme and its substrate and have implications for developing efficient biocatalytic strategies for halogenated compound degradation.

JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS (2023)

Article Spectroscopy

Concentrations of plant mineral nutrients and potentially toxic elements in some medicinal plants in the Asteraceae, Fabaceae, and Lamiaceae families from Southern Turkiye: insights into health implications

Faruk Karahan, Ibrahim Ilker Ozyigit, Ibrahim Ertugrul Yalcin, Asli Hocaoglu-Ozyigit, Bedriye Nazli Erkencioglu, Ahmet Ilcim

Summary: This study analyzed mineral nutrient and potentially toxic element levels in 38 plant species belonging to medicinally important families. The results showed that some potentially toxic elements accumulated slightly above the permissible limits set by the World Health Organization. This highlights the importance of collecting medicinal plants from protected areas far from mining and close to clean rivers, and conducting regular control analyses for potentially toxic elements for human health.

SPECTROSCOPY LETTERS (2023)

Review Plant Sciences

The power of retrotransposons in high-throughput genotyping and sequencing

Yunus Emre Arvas, Sevgi Marakli, Yilmaz Kaya, Ruslan Kalendar

Summary: The use of molecular markers is crucial in various fields of molecular genetics, such as gene identification, plant breeding, and genetic characterization. Transposable elements, particularly retrotransposons, are widely used as molecular markers due to their presence in eukaryotic genomes and ability to integrate into dispersed chromosomal locations. The ongoing development of molecular marker technologies is closely linked to high-throughput genotype sequencing platforms, making this research highly significant.

FRONTIERS IN PLANT SCIENCE (2023)

Article Chemistry, Multidisciplinary

Exploration of the improving effect of Cd-doping on structural, photocatalytic, and biological properties of ZnO nanoparticles

B. Yalcin, L. Arda, I. E. Yalcin, K. Senturk, M. C. Alphan, D. Akcan, I. I. Ozyigit

Summary: ZnO and Cd-doped ZnO nanoparticles were synthesized by sol-gel method, and their structural, morphological, photocatalytic, and blood compatibility properties were studied. The nanoparticles exhibited a hexagonal wurtzite structure for Cd concentration below 0.03, and a mixture of ZnO and CdO phases for Cd concentration above 0.03. Among the Cd-doped nanoparticles, Zn0.90Cd0.10O and Zn0.80Cd0.80O showed the highest photocatalytic performance with degradation percentages of 69.9% and 72.8% respectively. Zn0.40Cd0.60O exhibited the highest blood compatibility but the weakest photocatalytic performance (degradation percentage of 32.2%).

JOURNAL OF NANOPARTICLE RESEARCH (2023)

Article Plant Sciences

The effect of leaf blight disease of rice caused by Pantoea ananatis on Nikita, Osr30 and RIRE1 retrotransposons' movements

Hasan Murat Aksoy, Esma Boluk, Yilmaz Kaya, Sevgi Marakli

Summary: This study aimed to investigate the effect of leaf blight bacteria on the movement of retrotransposons in different rice cultivars. The activation order of retrotransposons was observed as Osr30 > Nikita = RIRE1. The study also found polymorphism in the Ronaldo and Cameo cultivars. Sequencing and alignment with the rice genome revealed homology to Oryza sativa chromosome 12. This is the first report detailing barley- and rice-specific retrotransposons in pathogen-infected rice cultivars.

JOURNAL OF PLANT PATHOLOGY (2023)

No Data Available