Analysis of endophytic fungi in roots of Santalum album Linn. and its host plant Kuhnia rosmarinifolia Vent.

Sun, Shoujin; Chen, Xiaomei; Guo, Shun‐Xing

doi:10.1631/jzus.b1300011

“…Construct a Multiple Linear Regression Model. In this paper, 7 strains of AM fungus, Cladosporium, Trichoderma, Aspergillus flavus, Alternaria spp, Penicillium, and Chaetomium vulgaris were mixed [13], and they were simultaneously inoculated on a petri dish with Chinese fir as the decomposed substance. The experimental data was collected in one week and lasted for 12 weeks.…”

Section: Analysis Stepsmentioning

confidence: 99%

Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network

Xiao-wei

¹

,

Bao

²

,

Hu

³

et al. 2021

Computational and Mathematical Methods in Medicine

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Simulation and prediction of the scale change of fungal community. First, using the experimental data of a variety of fungal decomposition activities, a mathematical model of the decomposition rate and the relationship between the bacterial species was established, thereby revealing the internal mechanism of fungal decomposition activity in a complex environment. Second, based on the linear regression method and the principle of biodiversity, a model of fungal decomposition rate was constructed, and it was concluded that the interaction between mycelial elongation and moisture resistance could increase the fungal decomposition rate. Third, the differential equations are used to quantify the competitive relationship between different bacterial species, divide the boundaries of superior and inferior species, and simulate the long-term and short-term evolution trends of the community under the same initial environment. And an empirical analysis is made by taking the sudden change of the atmosphere affecting the evolution of the colony as an example. Finally, starting from summer, combining soil temperature, humidity, and fungal species data in five different environments such as arid and semiarid, a three-dimensional model and RBF neural network are introduced to predict community evolution. The study concluded that under given conditions, different strains are in short-term competition, and in the long-term, mutually beneficial symbiosis. Biodiversity is important for the biological regulation of nature.

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“…Plant disease management also engages endophytes as biocontrol agents. These microbes can reside asymptomatically in different parts of a plant like a shoot, leaves, or roots [76][77][78][79][80][81]. Potential antagonistic strains of endophytes can be screened for biocontrol capability as all strains do not exhibit similar activity.…”

Section: Microbial Biocontrolmentioning

confidence: 99%

Major Biological Control Strategies for Plant Pathogens

Pandit

¹

,

Kumar

²

,

Gulati

³

et al. 2022

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Food security has become a major concern worldwide in recent years due to ever increasing population. Providing food for the growing billions without disturbing environmental balance is incessantly required in the current scenario. In view of this, sustainable modes of agricultural practices offer better promise and hence are gaining prominence recently. Moreover, these methods have taken precedence currently over chemical-based methods of pest restriction and pathogen control. Adoption of Biological Control is one such crucial technique that is currently in the forefront. Over a period of time, various biocontrol strategies have been experimented with and some have exhibited great success and promise. This review highlights the different methods of plant-pathogen control, types of plant pathogens, their modus operandi and various biocontrol approaches employing a range of microorganisms and their byproducts. The study lays emphasis on the use of upcoming methodologies like microbiome management and engineering, phage cocktails, genetically modified biocontrol agents and microbial volatilome as available strategies to sustainable agricultural practices. More importantly, a critical analysis of the various methods enumerated in the paper indicates the need to amalgamate these techniques in order to improve the degree of biocontrol offered by them.

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“…Plant disease management also engages endophytes as biocontrol agents. These microbes can reside asymptomatically in different parts of a plant like a shoot, leaves, or roots (Schulz and Boyle 2005;Sun et al 2014, Grünig et al 2008Rodriguez-Cabal et al 2013;Sokolski et al 2007;Verma et al 2007). Potential antagonistic strains of endophytes can be screened for biocontrol capability as all strains do not exhibit similar activity.…”

Section: Biocontrol Management Microbial Biocontrolmentioning

confidence: 99%

Biological Control Strategies of Plant Pathogens

Pandit¹,

Kumar²,

Gulati³

et al. 2021

Preprint

View full text Add to dashboard Cite

Food security has become a major concern worldwide in recent years due to ever increasing population. Providing food for the growing billions without disturbing environmental balance is incessantly required in the current scenario. In view of this, sustainable modes of agricultural practices offer better promise and hence are gaining prominence recently. Moreover, these methods have taken precedence currently over chemical-based methods of pest restriction and pathogen control. Adoption of Biological Control is one such crucial technique that is currently in the forefront. Over a period of time, various biocontrol strategies have been experimented with and some have exhibited great success and promise. This review highlights the different methods of plant-pathogen control, types of plant pathogens, their modus operandi and various biocontrol approaches employing a range of microorganisms and their byproducts. The study lays emphasis on the use of upcoming methodologies like microbiome management and engineering, phage cocktails, genetically modified biocontrol agents and microbial volatilome as available strategies to sustainable agricultural practices. More importantly, a critical analysis of the various methods enumerated in the paper indicates the need to amalgamate these techniques in order to improve the degree of biocontrol offered by them.

show abstract

Analysis of endophytic fungi in roots of Santalum album Linn. and its host plant Kuhnia rosmarinifolia Vent.

Cited by 13 publications

References 20 publications

Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network

Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network

Major Biological Control Strategies for Plant Pathogens

Biological Control Strategies of Plant Pathogens

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