GmPBS1, a Hub Gene Interacting with Rhizobial Type-III Effectors NopT and NopP, Regulates Soybean Nodulation

Li, Dongdong; Zhu, Zikun; Deng, Xiaomin; Zou, Jianan; Ma, Chao; Li, Candong; Yin, Tongming; Liu, Chunyan; Wang, Jinhui; Chen, Qingshan; Xin, Dawei

doi:10.3390/agronomy13051242

Cited by 9 publications

(10 citation statements)

References 29 publications

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“…Interaction between effectors and host targets may be confirmed through in vitro double-hybrid tests and in vivo through the bimolecular fluorescence complementation (BiFC) assay [72]. The host's hub proteins may be used as molecular markers to assist genetic improvement programs or for direct genetic manipulation through CRISPR-Cas9 technology for the development of phytoplasma-resistant plants [138]. Likewise, the identification of targets in insect vectors may enable us to control phytoplasmas through the modulation of gene expression in insects with gene silencing [139,140].…”

Section: Discussionmentioning

confidence: 99%

Novel Insights into Phytoplasma Effectors

Carreón-Anguiano,

Vila-Luna,

Sáenz-Carbonell

et al. 2023

Horticulturae

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Effectoromics has become integral to the identification of pathogen targets and/or host-resistant proteins for the genetic improvement of plants in agriculture and horticulture. Phytoplasmas are the causal agents of more than 100 plant diseases in economically important crops such as vegetables, spices, medicinal plants, ornamentals, palms, fruit trees, etc. To date, around 20 effectors in phytoplasmas have been experimentally validated but the list of putative effectors comprises hundreds of different proteins. Very few families (tribes) have been identified based on homology, such as the SAP05-like, SAP11-like, SAP54-like and TENGU-like families. The lack of conservation in amino acid sequences slows the progress of effectoromics in phytoplasmas since many effectors must be studied individually. Here, 717 phytoplasma effector candidates and 21 validated effectors were characterized in silico to identify common features. We identified functional domains in 153 effectors, while 585 had no known domains. The most frequently identified domain was the sequence-variable mosaic domain (SVM domain), widely distributed in 87 phytoplasma effectors. Searching for de novo amino acid motifs, 50 were found in the phytoplasma effector dataset; 696 amino acid sequences of effectors had at least 1 motif while 42 had no motif at all. These data allowed us to organize effectors into 15 tribes, uncovering, for the first time, evolutionary relationships largely masked by lack of sequence conservation among effectors. We also identified 42 eukaryotic linear motifs (ELMs) in phytoplasma effector sequences. Since the motifs are related to common functions, this novel organization of phytoplasma effectors may help further advance effectoromics research to combat phytoplasma infection in agriculture and horticulture.

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Section: Discussionmentioning

confidence: 99%

Novel Insights into Phytoplasma Effectors

Carreón-Anguiano,

Vila-Luna,

Sáenz-Carbonell

et al. 2023

Horticulturae

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“…Building upon the previously established signal crosstalk between NopT and NopP, which suggested an interconnection between these nodulation outer proteins [37], subsequent investigations have delineated a shared signaling network involving NopC, NopT, and NopL. In this context, we generated the HH103ΩNopT&NopC&NopL mutant strain, hereafter referred to as TCL, through triparental mating of NopT with the HH103ΩNopL&NopC strains.…”

Section: Hh103ωnoptandnopcandnopl Construction Of Mutantmentioning

confidence: 93%

NopC/T/L Signal Crosstalk Gene GmPHT1-4

Zhu,

Yu,

et al. 2023

IJMS

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Symbiotic nodulation between leguminous plants and rhizobia is a critical biological interaction. The type III secretion system (T3SS) employed by rhizobia manipulates the host’s nodulation signaling, analogous to mechanisms used by certain bacterial pathogens for effector protein delivery into host cells. This investigation explores the interactive signaling among type III effectors HH103ΩNopC, HH103ΩNopT, and HH103ΩNopL from SinoRhizobium fredii HH103. Experimental results revealed that these effectors positively regulate nodule formation. Transcriptomic analysis pinpointed GmPHT1-4 as the key gene facilitating this effector-mediated signaling. Overexpression of GmPHT1-4 enhances nodulation, indicating a dual function in nodulation and phosphorus homeostasis. This research elucidates the intricate regulatory network governing Rhizobium–soybean (Glycine max (L.) Merr) interactions and the complex interplay between type III effectors.

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“…Seeds of 10 representative soybean varieties from Heilongjiang Province were sterilized via chlorine fumigation. The seeds were planted under aseptic conditions and inoculated with the four rhizobacterial strains obtained from the screening and the control Sinorhizobium fredii (S. fredii) HH103, and each plant was inoculated with 2 mL of bacterial sap with a concentration OD 600 of 0.2 [30]. Each treatment group was replicated 10 times.…”

Section: Identification Of Rhizobium Host Compliance With Cultivarsmentioning

confidence: 99%

Isolation and Identification of Salinity-Tolerant Rhizobia and Nodulation Phenotype Analysis in Different Soybean Germplasms

Yu,

Wu,

Song

et al. 2024

CIMB

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Increasing the soybean-planting area and increasing the soybean yield per unit area are two effective solutions to improve the overall soybean yield. Northeast China has a large saline soil area, and if soybeans could be grown there with the help of isolated saline-tolerant rhizobia, the soybean cultivation area in China could be effectively expanded. In this study, soybeans were planted in soils at different latitudes in China, and four strains of rhizobia were isolated and identified from the soybean nodules. According to the latitudes of the soil-sampling sites from high to low, the four isolated strains were identified as HLNEAU1, HLNEAU2, HLNEAU3, and HLNEAU4. In this study, the isolated strains were identified for their resistances, and their acid and saline tolerances and nitrogen fixation capacities were preliminarily identified. Ten representative soybean germplasm resources in Northeast China were inoculated with these four strains, and the compatibilities of these four rhizobium strains with the soybean germplasm resources were analyzed. All four isolates were able to establish different extents of compatibility with 10 soybean resources. Hefeng 50 had good compatibility with the four isolated strains, while Suinong 14 showed the best compatibility with HJNEAU2. The isolated rhizobacteria could successfully establish symbiosis with the soybeans, but host specificity was also present. This study was a preliminary exploration of the use of salinity-tolerant rhizobacteria to help the soybean nitrogen fixation in saline soils in order to increase the soybean acreage, and it provides a valuable theoretical basis for the application of saline-tolerant rhizobia.

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GmPBS1, a Hub Gene Interacting with Rhizobial Type-III Effectors NopT and NopP, Regulates Soybean Nodulation

Cited by 9 publications

References 29 publications

Novel Insights into Phytoplasma Effectors

Novel Insights into Phytoplasma Effectors

NopC/T/L Signal Crosstalk Gene GmPHT1-4

Isolation and Identification of Salinity-Tolerant Rhizobia and Nodulation Phenotype Analysis in Different Soybean Germplasms

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