Dynamics of Plant Microbiome and Its Effect on the Plant Traits

Sharma, Sunny; Magotra, Shanu; Ganjoo, Sneha; Andrabi, Tabia; Gupta, Rikita; Sharma, Shilpi; Vakhlu, Jyoti

doi:10.1007/978-981-13-8487-5_12

Cited by 3 publications

(2 citation statements)

References 164 publications

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“…Viruses are a major threat to plants worldwide and the cotton leaf curl virus (CLCuV) is one of the deadliest viruses affecting the cotton crop [20]. Crop phenology is majorly dependent on the microbiomes and mycobiomes that inhabit the internal and surrounding environment [21,22]. Rather than existing in isolation, microorganisms co-occur in ecological networks that determine the stability of the entire ecosystem and thus the plant's response to biotic/abiotic stresses [23].…”

Section: Discussionmentioning

confidence: 99%

Microbial Influencers and Cotton Leaf Curl Disease (CLCuD) susceptibility: A network perspective

Aqueel,

Badar,

Ijaz

et al. 2024

Preprint

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Background Biotic stresses such as plant viruses e.g. Cotton Leaf Curl Virus (CLCuV) can alter root-associated and leaf-associated microbial diversity in plants. There are complex ecological dynamics at play with each microbe contributing to multitude of biotic and abiotic interactions thus deciding the stability of the plant’s ecosystem in response to disease. Deciphering these networks of interactions is a challenging task. The inferential research in microbiome is also at a nascent stage, often constrained by the underlying analytical assumptions as well as the limitations with respect to the depth of sequencing. There is also no real consensus on which network-wide statistics to identify the influential microbial players in a network. Guided by latest developments in network science, particularly, recently published metrics such as Integrated View of Influence (IVI), and some other centrality measures, in this study, we provide an exposé of the most influential nodes in the rhizospheric and phyllospheric microbial networks of the Cotton Leaf Curl Disease (CLCuD) susceptible, partially tolerant, and resistant cotton varieties. Results Our results indicate that the CLCuD resistant Gossypium arboreum possesses an equal share of keystone species which helps it in withstanding ecological pressures. In the resistant variety, the phyllosphere harbors the most influential nodes whereas in the susceptible variety they are present in the rhizosphere. Based on hubness score, spreading score and IVI, the top 10 occurring keystone species in FDH-228 (resistant) variety were Actinokineospora, Cohnella, Thermobacillus, Clostridium, Desulfofarcimen, and MDD-D21. Elusimicrobia, Clostridium-sensu-stricto_12, Candidatus woesebacteria, and Dyella were identified as the most influential nodes in PFV-1 (partially tolerant) variety. In the PFV-2 (susceptible) variety, the keystone species were identified as Georginia, Nesterenkonia, Elusimicrobia MVP-88, Acetivibrio, Tepedisphaerales, Chelatococcus, Nitrosospira, and RCP2-54. Conclusion Crop health is dependent on the microbiome influencers in its ecosystem. The CLCuD resistant Gossypium arboreum has an abundance of Firmicutes and only limited phyla as opposed to the susceptible variety where there is a vast variety of bacterial phyla in its top keystone species. The stability of the FDH-228 network helps it in handling perturbations better. This approach helps us in deciphering the diseased and healthy plant’s response to viral disease which may be microbially mediated.

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Section: Discussionmentioning

confidence: 99%

Microbial Influencers and Cotton Leaf Curl Disease (CLCuD) susceptibility: A network perspective

Aqueel,

Badar,

Ijaz

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Viruses are a major threat to plants worldwide, and the cotton leaf curl virus (CLCuV) is one of the deadliest viruses affecting the cotton crop (Mahmood-ur-Rahman et al, 2012). Crop phenology is majorly dependent on the microbiomes and mycobiomes that inhabit the internal and surrounding environment (Sharma et al, 2019;Ginnan, 2020). Rather than existing in isolation, microorganisms co-occur in ecological networks that determine the stability of the entire ecosystem and thus the plant's response to biotic/abiotic stresses (Afridi et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Microbial influencers and cotton leaf curl disease (CLCuD) susceptibility: a network perspective

Aqueel,

Badar,

Ijaz

et al. 2024

Front. Microbiol.

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Biotic stresses, such as plant viruses, e.g., cotton leaf curl virus (CLCuV), can alter root-associated and leaf-associated microbial diversities in plants. There are complex ecological dynamics at play, with each microbe contributing to a multitude of biotic and abiotic interactions, thus deciding the stability of the plant’s ecosystem in response to the disease. Deciphering these networks of interactions is a challenging task. The inferential research in microbiome is also at a nascent stage, often constrained by the underlying analytical assumptions and the limitations with respect to the depth of sequencing. There is also no real consensus on network-wide statistics to identify the influential microbial players in a network. Guided by the latest developments in network science, including recently published metrics such as Integrated View of Influence (IVI) and some other centrality measures, this study provides an exposé of the most influential nodes in the rhizospheric and phyllospheric microbial networks of the cotton leaf curl disease (CLCuD) susceptible, partially tolerant, and resistant cotton varieties. It is evident from our results that the CLCuD-resistant Gossypium arboreum possesses an equal share of keystone species, which helps it to withstand ecological pressures. In the resistant variety, the phyllosphere harbors the most influential nodes, whereas in the susceptible variety, they are present in the rhizosphere. Based on hubness score, spreading score, and IVI, the top 10 occurring keystone species in the FDH-228 (resistant) variety include Actinokineospora, Cohnella, Thermobacillus, Clostridium, Desulfofarcimen, and MDD-D21. Elusimicrobia, Clostridium-sensu-stricto_12, Candidatus woesebacteria, and Dyella were identified as the most influential nodes in the PFV-1 (partially tolerant) variety. In the PFV-2 (susceptible) variety, the keystone species were identified as Georginia, Nesterenkonia, Elusimicrobia MVP-88, Acetivibrio, Tepedisphaerales, Chelatococcus, Nitrosospira, and RCP2-54. This concept deciphers the diseased and healthy plant’s response to viral disease, which may be microbially mediated.

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Crocus Sativus Saffron: A 360-Degree Overview

Mansotra

Vakhlu

2022

Compendium of Plant Genomes

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Dynamics of Plant Microbiome and Its Effect on the Plant Traits

Cited by 3 publications

References 164 publications

Microbial Influencers and Cotton Leaf Curl Disease (CLCuD) susceptibility: A network perspective

Microbial Influencers and Cotton Leaf Curl Disease (CLCuD) susceptibility: A network perspective

Microbial influencers and cotton leaf curl disease (CLCuD) susceptibility: a network perspective

Crocus Sativus Saffron: A 360-Degree Overview

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