2022
DOI: 10.1016/j.micres.2021.126943
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Combined application of H2S and a plant growth promoting strain JIL321 regulates photosynthetic efficacy, soil enzyme activity and growth-promotion in rice under salt stress

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Cited by 19 publications
(5 citation statements)
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“…SA187 as much as by the addition of sulfate, implying its regulation of sulfur metabolic pathways ( Andrés-Barrao et al, 2021 ). The combined treatment of JIL321 and NaHS could further improve the growth of rice seedlings, most likely due to the interaction effect between H 2 S and strain JIL321 ( Wang et al, 2022 ). In addition, the cysP gene was functionally verified with a strain E. coli transformed by expressing B. subtilis cysP gene through a mutated sulfate transport ( Mansilla and de Mendoza, 2000 ).…”
Section: Discussionmentioning
confidence: 99%
“…SA187 as much as by the addition of sulfate, implying its regulation of sulfur metabolic pathways ( Andrés-Barrao et al, 2021 ). The combined treatment of JIL321 and NaHS could further improve the growth of rice seedlings, most likely due to the interaction effect between H 2 S and strain JIL321 ( Wang et al, 2022 ). In addition, the cysP gene was functionally verified with a strain E. coli transformed by expressing B. subtilis cysP gene through a mutated sulfate transport ( Mansilla and de Mendoza, 2000 ).…”
Section: Discussionmentioning
confidence: 99%
“…In relation to this, machine learning (ML), a subset of AI, gives computers the capacity to train without deliberate programming by utilizing statistical techniques to permit machines to get better over time. As a corollary, AI and ML efficiently automate the construction of analytical models and enable machines to autonomously produce novel situations ( Wang et al., 2022b ). Examples of such broadly used models and algorithms include (i) the Artificial Neural Network (ANN, used in nearly all AI-based application domains in real-life data), (ii) the Support Vector Machine (SVM, first created for linear categorization tasks), (iii) the Nonlinear Support Vector Regression (NLSVR), and (iv) Random Forest (RF).…”
Section: Constraints and Future Trendsmentioning
confidence: 99%
“…Microorganisms (bacteria and fungi) present in the rhizosphere soil of plants play a significant role in the whole plant growth process ( Bukhat et al, 2020 ). Among these, plant growth-promoting rhizobacteria (PGPR) can promote the plant growth by various direct or indirect mechanisms, such as nitrogen fixation ( Raza et al, 2021 ), phosphate solubilization ( Sahu et al, 2022 ), siderophore production ( Braud et al, 2009 ; Ghazy and El-Nahrawy, 2021 ), heavy metal resistance ( Ma et al, 2016 ; Bennis et al, 2022 ), indole compound production ( Zahir et al, 2010 ), biocontrol ( Hosseini et al, 2021 ), and stress responses, including 1-aminocyclopropane-1-carboxylate (ACC) deaminase production ( Gupta et al, 2021 ), drought tolerance ( Mansour et al, 2021 ), and halotolerance ( Wang et al, 2022 ). In the past few decades, many studies on the screening and identification of these bacteria have been reported.…”
Section: Introductionmentioning
confidence: 99%