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Jaitly, A. K.
- Antihyperglycaemic Activity of Six Edible Plants in Validated Animal Models of Diabetes Mellitus
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PDF Views:129
Authors
Affiliations
1 Deptt. of Plant Sciences, M.J.P. Rohilkhand Univ., Bareilly, IN
2 Central Drug Research Institute, Lucknow-226001, IN
1 Deptt. of Plant Sciences, M.J.P. Rohilkhand Univ., Bareilly, IN
2 Central Drug Research Institute, Lucknow-226001, IN
Source
Indian Journal of Science and Technology, Vol 2, No 4 (2009), Pagination: 80-86Abstract
The fruits of edible hypoglycaemic plants of Momordica charantia, dried seeds of Syzigium cumini, seed oil of Aegle marmelos and dried fruit powder of Coccinia indica, dried powder of the ischolar_mains and rhizomes of Curcuma longa and seeds of Trigonella foenumgraecum were tested on normoglycaemic as well as streptozotocin-induced diabetic rats for its antihyperglycaemic efficacy. The investigation confirms the traditional claim of antihyperglycaemic activity in these edible plants.Keywords
Antihyperglycaemic Activity, Momordica Charantia, Coccinia Indica, Syzigium Cumini, Aegle Marmelos, Curcuma Longa, Trigonella Foenum-graecumFull Text
References
- Ammon HPT and Wahl MA (1991) Pharmacology of Curcuma longa. Planta Medica. 57,1–7.
- Anturlikar SD, Gopumadhavan S, Chauhan BL and Mitra SK (1995) Effect of D-400 (Diabecon), a herbal formulation, on blood sugar of normal and alloxaninduced diabetic rats. Indian J. Physiol. Pharmacol. 2 (39), 95-100.
- Arokiyaraj S, Radha R, Martin S and Perinbam K (2008) Phytochemical analysis and anti-diabetic activity of Cadaba fruticosa R.Br. Indian J. Sci. Technol . 1 (6), 1-4. Domain: http://www.indjst.org.
- Arun N and Nalini N (2002) Efficacy of turmeric on blood sugar and polyol pathway in diabetic albino rats. Plant Foods Hum. Nutr. 57, 41–52.
- Atkinson MA and Eisenbarth GS (2001) Type 1 diabetes: new perspectives on disease pathogenesis and treatment, Lancet. 358, 221-229.
- Chaurasia AK, Dubey SO and Ojha JK (1994) Role of Vijaysara and Jarul on insulin dependent diabetes mellitus. Aryavaidyan, 7 (3), 147-152.
- Chopra RN, Chopra IC, Handa KL and Kapur LD (1958) Indigenous Drugs of India. second ed., UN Dhar and Sons Pvt. Ltd. Calcutta.
- Clifford IB and Carolic D (1989) Traditional plant medicines as treatment of diabetes. Diabetes Car. 12, 553-564.
- Das AV, Padayatti PS and Paulose CS (1996) Effects of leaf extract of Aegle marmelos (L.) Correa ex Roxb. On histological and ultra structural changes in tissue of streptozotocin induced diabetic rats. Ind. J. Exp. Biol. 34 (4), 341-345.
- DeFronzo RA (1997).Pathogenesis of type 2 diabetes: metabolic and molecular implication for identifying diabetes genes.Diabetes Rev. 5, 177-267.
- Eigner D and Scholz D (1999) Ferula asa-foetida and Curcuma longa in traditional medicinal treatment and diet in Nepal. J. Ethnopharmacol. 67, 1–6.
- Fournier F (1948) ‘Plantes Medicinales et Veneneuses de France ‘, 495-499 Paris in vol.III.
- Groop LC, Bonadonna RC, DelPrato S, Ratheiser K, Zyck K, Ferrannini E and DeFronzo RA (1989) Glucose and free fatty acid metabolism in non-insulin dependent diabetes mellitus, Evidences for multiple sites of insulin resistance. J. Clin. Invest. 84, 05-
- Grover JK, Vats V, Rathi SS (2000) Antihyperglycemic effects of Eugenia jambolana and Tinospora cardifolia in experimental diabetes and their effects on key metabolic enzymes in carbohydrate metabolism. J. Ethnopharmacology. 73 (3), 461-470.
- Halim Eshrat M and Ali Hussain (2002) Hypoglycemic, hypolipidemic andantioxidant properties of combination of curcumin from Curcuma longa Linn, and partially purified product from Abroma augusta Linn. in streptozotocin induced diabetes. Indian J. Clinical Biochem. 17 (2), 33-43.
- Jamal Ahmad Abdel-Barry, Issa Abed Abdel-Hassan and HH Mohammad Al-Hakiem (1997) Hypoglycemic and Antihyperglycemic effects of Trigonella foenum-graecum leaf in normal and alloxan induced diabetic rats. J. Ethnopharmacology. 58, 149-155.
- Joshi CS, Priya ES and Venkataraman S (2007) Hypoglycemic and antilipidperoxidative effects of a polyherbal formulation, Diakyur, in experimental animal models. J. Health Sci., 53 (6), 734-739.
- Karunanayake EH, Jeevathayaparam S and Tennekoon KH (1990) Effect of Momordica charantia fruit juice on streptozotocin-induced diabetes in rats. J. Ethnopharmacology. 30 (2), 199-204.
- Karunanayake EH, Welihinda J, Sirimanne SR and Sinnadorai G (1984) Oral hypoglycemic activity of some medicinal plants of Sri Lanka. J. Ethnopharmacology. 11 (2), 223-231.
- Khan A, Aktar S and Mehtab H (1980) Treatment of diabetes mellitus with Coccinia indica. Br. Med J. 280, 1044-1046.
- King H, Aubert R and Herman W (1998) Global burden of diabetes, 1995- 2025. Prevalence, numerical estimates and projections. Diabetes Care. 21, 1414-1431.
- Kumar S, Sudheesh S and Vijaylakshmi NR (1993) Hypoglycemic effect of Coccinia indica: Mechanism of action. Planta Med.59, 330-332.
- Lebovitz HE (1997) Alpha-glucosidase inhibitors. Endocrinol. Metab. Clin. North Am. 26, 539-551.
- Lernmark A and Ott J (1998). Sometimes it’s hot sometimes it’s not. Nature Genet. 19, 213-214.
- Mahapatra PK, Pal M, Chaudhari AKN, Chakarborty D and Basu A (1985) Preliminary studies on glycemic effect of Syzigium cumini seeds. IRCS Med Sc. Biochem. 13 (7), 631-632.
- Mitra SK, Gopumadhavan S and Muralidhar TS (1996) Effect of D-400 an ayurvedic herbal formulation on experimentally induced diabetes mellitus. Phytother. Res. 10, 433-435.
- Mutalik S, Chetana M, Sulochana B, Uma Devi P and Udupa N (2005) Effect of Dianex, herbal formulation on experimentally induced Diabetes mellitus. Phytother Res. 19, 409-415.
- Nandakarni KM (1954) Indian Materia Medica Popular Book Depot, Bombay, pp: 750.
- Nandkarni AK (1992) Indian Materia Medica vol. 1. Popular Prakashan, Bombay, pp: 157.
- Pari L and Venkateswaran S (2003) Protective effect of Coccinia indica on changes in fatty acid composition in streptozotocin induced diabetic rats. Pharmazic. 58, 409-412.
- Polonsky KS, Sturis J and Bell GI (1996) Seminar in medicine of both Israel Hospital, Boston, Non-insulin dependent diabetes mellitus– a genetically programme failure of the β-cell compensate for insulin resistance. N. Engl. J. Med., 334, 777-783.
- Ponnachan PT, Paulose CS and Panikkar KR (1993) Effect of leaf extract of Aegle marmelos in diabetic rats. Indian J.Exp. Biol. 31 (4), 345-347.
- Prince OS, Menon VP and Pari L (1998) Hypoglycemic activity of Syzigium cumini seeds: effect on lipid peroxidation in alloxan diabetic rats. J. Ethnopharmacology. 61(1), 1-7.
- Raynolds JEF (1997) Martindale-The extra pharmacopoeia. 30th edn. The pharmaceutical Press: London.
- Rehan Ahmad, Swayam Prakash Srivastava, Rakesh Maurya, Rajendran SM, Arya KR and Arvind K. Srivastava (2008) Mild antihyperglycaemic activity in Eclipta alba, Berberis aristata, Betula utilis, Cedrus deodara, Myristica fragrans and Terminalia chebula . Indian J. Sci. Technol . 1 (5), 1-6. Domain: http://www.indjst.org.
- Sajithlal GB, Chittra P and Chandrakasan G (1998) Effect of curcumin on the advanced glycation and cross-linking of collagen in diabetic rats. Biochem. Pharmacol. 56, 1607–1614.
- Seema PV, Sudha B, Padayatti PS, Abraham A and Raghu KG (1996) Paulose C.S., Kinetic studies of purified malate dehydrogenase in liver of streptozotocin diabetic rats and the effect of leaf extract of Aegle marmelos (L.) Correa ex Roxb. Indian J. Exp. Biol. 36 (6), 600-602.
- Shani J, Goldschmied A, Joseph B, Ahronson Z and Suleman FG (1974) Hypoglycaemic effect of Trigonella foenum-graecum and Lupinis termis (Leguminosae) seeds and their major alkaloids in alloxan induced diabetic and normal rats, Archives internationals de pharmacodynamie et de therapie. 210, 27-37.
- Suryanarayana P, Krishnaswamy K and Reddy GB (2003) Effect of curcumin on galactose-induced cataractogenesis in rats. Mol. Vis. 9, 223–230.
- Upadhyay OP, Singh RM and Dutta K (1996) Studies on antidiabetic medicinal plants used in Indian folklore. Aryavaidyan. 9 (3), 159-167.
- Vekateswaran S and Pari L (2003) Effect of Coccinia indica leaves on antioxidant status in streptozotocin induced diabetic rats. J. Ethnopharmacology. 84, 163-168.
- Venkateswaran S and Pari L (2002) Effect of Coccinia indica on blood glucose, insulin and hepatic key enzymes in experimental diabetes. Pharmaceutical Biology. 403, 165–170.
- An Approach to overcome Imbalance Datasets of Eukaryotic Genomes during the Analysis by Machine Learning Technique (SVM)
Abstract Views :410 |
PDF Views:99
Authors
Affiliations
1 Department of Plant Sciences, MJP Rohilkhand University Bareilly (U.P), IN
2 Bioinformatics Centre, IVRI, Izatnagar, Bareilly-243122 (U.P), IN
1 Department of Plant Sciences, MJP Rohilkhand University Bareilly (U.P), IN
2 Bioinformatics Centre, IVRI, Izatnagar, Bareilly-243122 (U.P), IN
Source
Indian Journal of Science and Technology, Vol 4, No 5 (2011), Pagination: 520-524Abstract
In biology, Support Vector Machines (SVM) is most frequently used tool for the analysis of gene expression, microarray experiments and other biological applications. In human genome dataset, only a small proportion of the DNA sequences represent genes, and the rest do not. In our work, we highlighted the reasons why, particular SVM, fails and what can be done to overcome this.Keywords
Imbalanced Dataset, BioSVMFull Text
References
- Akbani R, Kwek S and Japkowicz N (2004) Applying support vector machines to imbalanced datasets. Proc. 15th Eur. Conf. on Machine Learning (ECML). Pisa, Italy, Sept., Springer-Verlag, Germany. pp: 39- 50.
- Chawla N, Bowyer K, Hall L and Kegelmeyer W (2002) SMOTE: Synthetic Minority Over-sampling Technique. J. Artificial Intelligence Res. 16, 321-357.
- Cristianini N and Shawe-Taylor J (2000) An introduction to support vector machines and other kernel-based learning methods. Cambridge University Press, Cambridge, UK. ISBN 0521780195.
- Joachims T (1998) Text categorization with SVM: Learning with many relevant features. Proc. 10th Eur. Conf. on Machine Learning (ECML).
- Kozak M (1996) Interpreting cDNA sequences: Some insights from studies on translation. Mammalian Genome. 7, 563-574.
- Vapnik V (1995) The nature of statistical learning theory. Springer, NY. ISBN 0387987800.
- Veropoulos K, Campbell C and Cristianini N (1999) Controlling the sensitivity of support vector machines. Proc. Intl. Joint Conf. on AI. pp: 55–60.
- Wu G and Chang E (2003) Class-Boundary alignment for imbalanced dataset learning. Proc. ICML 2003 Workshop on Learning from Imbalanced Data Sets II, Washington DC, USA.
- Zeng F, Yap HC and Wong L (2002) Using feature generation and feature selection for accurate prediction of translation initiation sites. Proc. of 13th Workshop on Genome Informatics, Universal Academy Press. pp: 192-200.
- Target Binding Hotspot Secrets of mir1 microRNA in Oryza sativa by using Bioinformatics Approaches
Abstract Views :393 |
PDF Views:0
Authors
Affiliations
1 Department of Plant Science, M. J. P. Rohilkhand University, Bareilly, IN
2 Bioinformatics Centre, IVRI, Izatnagar, Bareilly, IN
3 Department of Biotechnology, Ministry of Science and Technology, New Delhi, IN
1 Department of Plant Science, M. J. P. Rohilkhand University, Bareilly, IN
2 Bioinformatics Centre, IVRI, Izatnagar, Bareilly, IN
3 Department of Biotechnology, Ministry of Science and Technology, New Delhi, IN
Source
Indian Journal of Science and Technology, Vol 6, No 8 (2013), Pagination: 5058-5064Abstract
Thermodynamic properties and nucleic acid symmetry of upstream nucleotide regions to the binding sites, insertion sites or upstream to the gene regions in the eukaryotic genomes are very significant in revealing the properties of various elements such as microRNA sequence, gene sequence and Promoter sequence etc. They set signals for various microRNA to bind at specific location in the genomes and these sequences also help in gene regulation with microRNA. The miR-1 microRNA is one of the most important and common type of small microRNA precursor that regulates its target protein's expression in the cell of both plants and animals therefore its study is very significant. The main emphasis of this research and whole idea behind this kind of work is to find out upstream sequences which carry hidden properties like Railway signals and track sign board which can alert the drivers that how the way is ahead. MicroRNAs are of approximately 21-nucleotides long and play very significant role in gene regulation in variety of genes of different organisms. MicroRNAs and mRNAs (messenger RNA) constitute an important part of gene regulatory networks, influencing diverse biological phenomena. The mRNA (messengerRNA) translated in to protein by the process of translation but when microRNA binds to specific mRNA sequence it alters the gene regulation process this results the alteration in the resulting protein and its function. The binding mechanism of microRNA at target site is not very clear so the study in this field may reveal some secrets which can be helpful to understand the process of binding of microRNA at different mRNA for regulation in different genes. The analysis of upstream nucleotide sequences to the possible binding sites of microRNA in Oryza sativa untranslated mRNA sequences revealed some significant patterns or signals such as thermodynamic properties signals, sequence architectural signals, and energy consideration which may involve directly or indirectly for the binding of microRNA in Oryza sativa.Keywords
PremicroRNA, RicemicroRNAFull Text
References
- Jones-Rhoades M W, Bartel D P et al. (2006). MicroRNAs and their regulatory roles in plants, Annual Review of Plant Biology, vol 57, 19–53.
- Zhang B, Pan X et al. (2006). Computational identification of microRNAs and their targets, Computational Biology and Chemistry, vol 30(6), 395–407.
- Luo Y C, Zhou H et al. (2006). Rice embryogenic calli express a unique set of microRNAs, suggesting regulatory roles of microRNAs in plant post-embryogenic development, FEBS Letters, vol 580(21), 5111–5116.
- Doench J G, and Sharp P A (2004). Specificity of microRNA target selection in translational repression, Genes & Development, vol 18(5), 504–511.
- Wang J F, Zhou H et al. (2004). Identification of 20 microRNAs from Oryza sativa, Nucleic Acids Res., vol 32(5), 1688–1695.
- Khraiwesh B, Asif M A et al. (2010). Transcriptional control of gene expression by MicroRNAs, Cell, vol 140, 111–122.
- Kim S K, Nam J W et al. (2006). microRNA target prediction using support vector machine, BMC Bioinformatics, vol 7, 407–411.
- Schwab R, Palatnik J F et al. (2005). Specific effects of microRNAs on the plant transcriptome, Developmental Cell, vol 8(4), 517–527.
- Pillai R S, Bhattacharyya S N et al. (2007). Repression of protein synthesis by miRNAs: how many mechanisms?, Trends in Cell Biology, vol 17(3), 118–126.
- Rhoads R E (2010). MiRNA Regulation of the Translational Machinery, Springer Press, New York, USA.
- Tang T, Lu J et al. (2006). miRBase: the microRNA sequence database, Methods, Methods in Molecular Biology, vol 342, 129–138.
- Harushima Y, Nakagahra M et al. (2002). Diverse variation of reproductive barriers in three intraspecific rice crosses, Genetics, vol 160(1), 313–322.
- Ma J, and Bennetzen J L (2004). Rapid recent growth and divergence of rice nuclear genomes, Proceedings of the National Academy Sciences, vol 101(34), 12404–12410.
- Grün D, Wang Y L et al. (2005). MicroRNA target predictions across seven Drosophila species and comparison to mammalian targets, PLoS Computional Biology, vol 1(1), e13.
- Lai E C (2003). microRNAs: runts of the genome assert themselves, Current Biology, vol 13(23), R925–R936.
- Ennecke J, Stark A et al. (2005). Principles of microRNA-target recognition, PLOS Biology, vol 3(3), e85.
- Carrington J C, and Ambros V (2003). Role of microRNAs in plant and animal development, Science, vol 301, 336–338.
- Nelson P, Kiriakidou M et al. (2003). The microRNA world: small is mighty, Trends in Biochemical Sciences, vol 28(10), 534–540.
- Bartel D P (2004). MicroRNAs: genomics, biogenesis, mechanism, and function, Cell, vol 116(2), 281–297.
- Wang X J, Reyes J L et al. (2004). Prediction and identification of microRNAs and their mRNA targets, Genome Biology, vol 5(9), R65.
- Ambros V (2004). The functions of animal microRNAs, Nature, vol 431, 350–355.
- Giraldez A J, Mishima Y et al. (2006). Zebrafish MiR-430 promotes deadenylation and clearance of maternal mRNAs, Science, vol 312(5770), 75–79.
- Wu L, Fan J et al. (2006). MicroRNAs direct rapid deadenylation of mRNA, Proceedings of the National Academy Sciences, vol 103, 4034–4039.
- Llave C, Xie Z et al. (2002). Cleavage of Scarecrow-like mRNA targets directed by a class of Arabidopsis microRNA, Science, vol 297, 2053–2056.
- Wang X J, Reyes J L et al. (2004). Prediction and identification of microRNAs and their mRNA targets, Genome Biology, vol 5(9), R65. Epub.
- Sugimoto N, Nakano S et al. (2001). Improved thermodynamic parameters and helix initiation factor to predict stability of DNA duplexes, Nucleic Acids Res., vol. 24(22), 4501–4505.
- Breslauer K J, Frank R et al. (1986). Predicting DNA duplex stability from the base sequence, Proceedings of the National Academy Sciences, vol 83, No. 11, 3746–3750.
- Blake R D (1996). Encyclopedia of Molecular Biology and Molecular Medicine, Wiley-VCH, NY, vol 2, 1–19.
- Altschul S, Gish W et al. (1990). Basic local alignment search tool, Journal of Molecular Biology, vol 215, 403–410.
- Gentleman R (2008). R programming for bioinformatics, Chapman & Hall Press, New York, USA.
- Ouyang S, Zhu W et al. (2007). The TIGR rice genome annotation resource: improvements and new features, Nucleic Acids Research, vol 35, 883–887.
- Wang Y, Li Y et al. (2010). Mechanism of microRNA-target interaction: molecular dynamics simulations and thermodynamics analysis, PLOS Computational Biology, vol 6(7), 860–866.
- Dai X, Zhuang Z et al. (2010). Computational analysis of microRNA targets in plants: current status and challenges, Brief Bioinform, vol 2, 115–121.
- Hofacker I L (2003). Vienna RNA secondary structure server, Nucleic Acids Res., vol 31(13), 3429–3431.
- Kibbe W A (2007). OligoCalc: an online oligonucleotide properties calculator, Nucleic Acids Research, vol 35, W43-6. Epub, 43–46.
- A New Species of Pronoella Fischer (Bivalvia) from the Bathonian (Middle Jurassic) Rocks of Kaladongar, Pachchham Island, Kachchh
Abstract Views :195 |
PDF Views:174
Authors
Affiliations
1 Department of Geology, Banaras Hindu University, Varanasi 221005, IN
1 Department of Geology, Banaras Hindu University, Varanasi 221005, IN
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 24, No 9 (1983), Pagination: 476-478Abstract
Pronoella (Pronoella, cunelformis n. sp., a new bivalve species characterised by a cuneate outline and an almost horizontal posterior area has been described from the Bathonian (Middle Jurassic) rocks of Kaladongar Hills, Pachchham Island, Kachchh. No published record of the genus in Kachchh exists till date.Full Text
- Analysis of Trace Metals in Underground Drinking Water of Bareilly
Abstract Views :239 |
PDF Views:0
Authors
Archana
1,
A. K. Jaitly
1
Affiliations
1 Microbiology Lab, Department of Plant Sciences MJP Rohilkhand University, Bareilly-243006, IN
1 Microbiology Lab, Department of Plant Sciences MJP Rohilkhand University, Bareilly-243006, IN
Source
Invertis Journals of Renewable Energy, Vol 6, No 2 (2016), Pagination: 106-111Abstract
Quality of drinking water of the Bareilly has been studied and the results are presented in this paper. A total of 45 drinking water samples were collected from 15 different locations of the Bareilly and brought to the laboratory for analysis. Samples were analyzed for physico-chemical parameters such as pH, electrical conductivity (EC), total dissolved solids (TDS), temperature and seven trace metals (Zn, Cu, Mo, As, Ca K, Mg) using standard procedures. The results were compared with other national (BIS) and international (WHO) standards. pH of the tested samples was in the range of 7.06 to 8.46 while the temperature ranged between 31.2 to 34.6°C. EC of water samples was recorded in the range of 375 to 1994 μs cm-1 whereas TDS in the range of 263 to 897 ppm. In all water samples, pH ranged in the permissible limit whereas EC and TDS of some of the samples were above the permissible limit. Concentration of metals namely Zn, Cu, Mo, As, Ca, K and Mg were found in the range of 0.16-2.29, 1.11 to 1.96, 0.016-0.093, 0.001- 0.005, 30.44-99.09, 2.16-5.81 and 1.93-12.53 mg/l respectively. All the metals were found in limit except copper, molybdenum and calcium which exceeded the limits set by WHO (2004) and (BIS 2003) at some studied sites.Keywords
Water Quality, AAS, pH, EC, TDS, Metals.Full Text
- Increased xylanase activity in Aspergillus niger through mutation
Abstract Views :170 |
PDF Views:79
Authors
Affiliations
1 Department of Biotechnology, Invertis University, Bareilly 243 123, India
2 Department of Plant Sciences, MJP Rohilkhand University, Bareilly 243 006, India
1 Department of Biotechnology, Invertis University, Bareilly 243 123, India
2 Department of Plant Sciences, MJP Rohilkhand University, Bareilly 243 006, India
Source
Current Science, Vol 121, No 7 (2021), Pagination: 966-968Abstract
Aspergillus niger is used for xylanase production on agricultural waste as substrate under broth culture. Rice straw and sugarcane bagasse have been the most potential substrate for xylanase production. Two different mutagens were used: UV radiation for different time durations and 5-bromouracil of different concentrations. Mutants so formed were selected on the basis of morphological and colony characteristics. Selected mutants were checked for their stability, requirement of amino acid and xylanase activity. Tested mutants showed 4-fold increase in xylanase activity from wild typeKeywords
Agricultural waste, mutation, rice straw, sugarcane bagasse, xylanaseFull Text
References
- Pathak, S. S., Sandhu, S. S. and Rajak, R. C. Mutation studies on fungal glucoamylase: a review. Int. J. Pharma Bio. Sci., 2005, 5, 297–308.
- Polizeli, M. L. T. M. et al., Xylanases from fungi: properties and industrial applications. Appl. Microbiol. Biotechnol., 2005, 67, 577–591.
- Solimon, H. M., Sherief, A. D. A. and Tanash. A. B. E. L., Production of xylanase by Aspergillus niger and Trichoderma viridae using some agricultural residues. Int. J. Agric. Res., 2012, 7(1), 46–57.
- Bajpai, P., Application of enzymes in the pulp and paper industry. Biotechnol. Prog., 1999, 15, 147–157.
- Angayarknni, J., Palaniswamy, M., Pradeep, B. V. and Swaminathan, K., Biochemical substitution of fungal xylanases for prebleaching of hardwood kraft pulp. Afr. J. Biotechnol., 2006, 5, 9291–9296.
- Polizeli, M. L. T. M., Rizzatti, A. C. S., Terenzi, H. F., Jorge, J. A. and Amorium, D. S., Xylanases from fungi: properties and industrial applications. Appl. Microbiol. Biotechnol., 2005, 67, 577–591.
- Betini, J. H. A., Michelin, M., Peixoto-Nogueira, S. C., Jorge, J. A., Terenzi, H. F. and Polizeli, M. L. T. M., Xylanases from Aspergillus niger, Aspergillus niveus and Aspergillus ochraceus produced under solid-state fermentation and their application in cellulose pulp bleaching; Bioproc. Biosyst. Eng., 2009, 32, 819– 824.
- Waites, M. J., Morgan, N. L., John, S. R. and Higton, G., Industrial Microbiology – An Introduction, Wiley Blackwell Publishing, 2002.
- Agrawal, R., Deepika, N. U. and Joseph, R., Strain improvement of Aspergillus sp. and Penecilllium sp. by induced mutation for biotransformation of alpha penine to verbinol. Biotechnol. Bioenerg., 1999, 63, 249–252.
- Desai, D. I. and Iyer, B. D., Utilization of corn cob waste for cellulase-free xylanase production by Aspergillus niger DX-23: medium optimization and strain improvement. Waste Biomass Valorization, 2017, 8, 103–113.
- Rowlands, R. T., Industrial strain improvement: mutagenesis and random screening procedure. Enzy. Microb. Technol., 1984, 6, 3–10.
- Miller, G. L., Use of dinitrosalicylic acid reagent for determination of reducing sugar. Am. Chem. Soc. Anal. Chem., 1959, 31(3), 426–428.
- Khan, A., Tremblay, D. and Le Duy, Assay of xylanase and xylosidase activities in bacterial and fungal cultures. Enzyme Microbiol. Technol., 1986, 8, 373–377.
- Romanowska, I., Polak, J. and Bieleeki, S., Isolation and properties of Aspergillus niger IBT-90 xylanase for bakery. Appl. Microbiol. Biotechnol., 2006, 69, 665–671.
- Kango, N., Agrawal, S. C. and Jain, P. C., Xylanase production by thermophilic fungi from soil and decomposing organic matter. Microbiol. Biotechnol. Sustain. Develop., 2004, B-13, 293–299.
- Radha, S., Himakiran Babu, R., Sridevi, A., Prasad, N. B. L. and Narasimha, G., Development of mutant fungal strains of Aspergillus niger for enhanced production of acid protease in submerged and solid state fermentation. Eur. J. Exp. Biol., 2012, 2(5), 1517–1528.
- Kirimura, K., Yagughi, T. and Usami, S., Intraspecific protoplast fusion of citric acid producing strains of Aspergillus niger. J. Ferment. Technol., 1986, 6, 473–479.
- Elbouami, F., Isolation and regeneration of protoplasts from mycelium of Fusarium solani. Afr. Crop Sci. J., 2001, 9(2), 351–358.