Optimization of Gibberellic Acid Production in Endophytic Bacillus cereus Using Response Surface Methodology and Its Use as Plant Growth Regulator in Chickpea

被引:0
|
作者
Nitin Baliyan
Sandhya Dhiman
Shrivardhan Dheeman
Sandeep Kumar
Naveen Kumar Arora
Dinesh Kumar Maheshwari
机构
[1] Gurukula Kangri (Deemed to be University),Department of Botany and Microbiology
[2] Sardar Bhagwan Singh University,Laboratory of Rhizosphere Microbiology, Department of Microbiology, School of Life Sciences
[3] Babasaheb Bhimrao Ambedkar University (A Central University),Department of Environmental Science
来源
关键词
Biostimulants; α-Amylase; Germination assay; Plant growth-promoting rhizobacteria; TLC; HPLC;
D O I
暂无
中图分类号
学科分类号
摘要
Gibberellic acid (GAs), a vital phytohormone, is necessary to increase seed germination as well as plant’s health and growth. Likewise, a number of plant growth-promoting bacteria produce identical secondary metabolites which serve as plant growth stimulants. The current study focuses to investigate optimization of multiple variables for the maximum GAs production by bacterial isolates via Response surface methodology (RSM) with the help of Box–Behnken design (BBD) and its effects on seed germination and growth promotion of Cicer arietinum (Chickpea). Initially, bacterial isolates were screened on the basis of quantitative production of gibberellic acid without amendment of any precursor. Later, bacterial isolate, MEN8, was selected for peak production of gibberellic acid via BBD and a total of 50 sets of trials were finalized. RSM analysis signified maximum GAs production by the isolate up to 109.25 μg/ml on 5th day of incubation at 35 °C on pH 7.0 by consuming 3 g/l fructose and 1.0 g/l ammonium chloride. The extracted gibberellic acid was purified by using Thin-layer chromatography, elucidated on Rf value 0.72 with gray-colored spot which was further confirmed by High-performance liquid chromatography technique, at 2.68 retention time (Rt). The MEN8 isolate was molecularly identified up to species level as Bacillus cereus by using 16S rRNA gene sequencing and phylogeny. As a final point, invitro analysis confirmed that B. cereus MEN8 was a significant isolate for increasing seed germination parameters such as germination energy (GE-27%), capacity (GC-32%), index (GI-42%), percentage (GP-55%), vigor index (VI-89%), and vegetative growth parameters including root/shoot length and fresh/dry weight. Plant growth-promoting nature of B. cereus MEN8 creates a future avenue to be utilized as ‘phytohormone-producing bioinoculant’ for sustainable agriculture at commercial implications.
引用
收藏
页码:3019 / 3029
页数:10
相关论文
共 50 条
  • [21] Statistical optimization of thermostable alkaline protease from Bacillus cereus KM 05 using response surface methodology
    Devi Jayakumar
    Sunish Kadayil Sachith
    Vinod Kumar Nathan
    Kalappurakkal Saidu Muhammed Rishad
    Biotechnology Letters, 2021, 43 : 2053 - 2065
  • [22] Statistical optimization of thermostable alkaline protease from Bacillus cereus KM 05 using response surface methodology
    Jayakumar, Devi
    Sachith, Sunish Kadayil
    Nathan, Vinod Kumar
    Rishad, Kalappurakkal Saidu Muhammed
    BIOTECHNOLOGY LETTERS, 2021, 43 (10) : 2053 - 2065
  • [23] L-asparaginase production by mangrove derived Bacillus cereus MAB5: optimization by response surface methodology
    Thenmozhi, C.
    Sankar, R.
    Karuppiah, V
    Sampathkumar, P.
    ASIAN PACIFIC JOURNAL OF TROPICAL MEDICINE, 2011, 4 (06) : 486 - 491
  • [24] L-asparaginase production by mangrove derived Bacillus cereus MAB5:optimization by response surface methodology
    Thenmozhi C
    Sankar R
    Karuppiah V
    Sampathkumar P
    Asian Pacific Journal of Tropical Medicine, 2011, 4 (06) : 486 - 491
  • [25] Optimization of media composition for Nattokinase production by Bacillus subtilis using response surface methodology
    Deepak, V.
    Kalishwaralal, K.
    Ramkumarpandian, S.
    Babu, S. Venkatesh
    Senthilkumar, S. R.
    Sangiliyandi, G.
    BIORESOURCE TECHNOLOGY, 2008, 99 (17) : 8170 - 8174
  • [26] Medium optimization for the production of recombinant nattokinase by Bacillus subtilis using response surface methodology
    Chen, Po Ting
    Chiang, Chung-Jen
    Chao, Yun-Peng
    BIOTECHNOLOGY PROGRESS, 2007, 23 (06) : 1327 - 1332
  • [27] Optimization of protease production using Bacillus velezensis through response surface methodology and investigating its applications as stain remover
    Deba, Farah
    Shakir, Hafiz Abdullah
    Khan, Muhammad
    Franco, Marcelo
    Irfan, Muhammad
    SYSTEMS MICROBIOLOGY AND BIOMANUFACTURING, 2024, 4 (04): : 1313 - 1322
  • [28] Response surface methodology for the optimization of alpha amylase production by Bacillus amyloliquefaciens
    Gangadharan, Dhanya
    Sivaramakrishnan, Swetha
    Nampoothiri, K. Madhavan
    Sukumaran, Rajeev K.
    Pandey, Ashok
    BIORESOURCE TECHNOLOGY, 2008, 99 (11) : 4597 - 4602
  • [29] Optimization of Growth and Carotenoid Production by Haloferax mediterranei Using Response Surface Methodology
    Montero-Lobato, Zaida
    Ramos-Merchante, Adrian
    Luis Fuentes, Juan
    Sayago, Ana
    Fernandez-Recamales, Angeles
    Maria Martinez-Espinosa, Rosa
    Maria Vega, Jose
    Vilchez, Carlos
    Garbayo, Ines
    MARINE DRUGS, 2018, 16 (10):
  • [30] Optimization of glutamic acid production by Corynebacterium glutamicum using response surface methodology
    Alharbi, Naiyf S.
    Kadaikunnan, Shine
    Khaled, Jamal M.
    Almanaa, Taghreed N.
    Innasimuthu, Ganesh Moorthy
    Rajoo, Baskar
    Alanzi, Khalid F.
    Rajaram, Shyam Kumar
    JOURNAL OF KING SAUD UNIVERSITY SCIENCE, 2020, 32 (02) : 1403 - 1408