Genome-Scale Metabolic Modelling of Lifestyle Changes in Rhizobium leguminosarum.
Genome-Scale Metabolic Modelling of Lifestyle Changes in Rhizobium leguminosarum.
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DOI:
10.1128/msystems.00975-21
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发表时间:
2022-02-22
期刊:
影响因子:
6.4
通讯作者:
Poole PS
中科院分区:
文献类型:
--
作者:
Schulte CCM;Ramachandran VK;Papachristodoulou A;Poole PS
Biological nitrogen fixation in rhizobium-legume symbioses is of major importance for sustainable agricultural practices. To establish a mutualistic relationship with their plant host, rhizobia transition from free-living bacteria in soil to growth down infection threads inside plant roots and finally differentiate into nitrogen-fixing bacteroids. We reconstructed a genome-scale metabolic model for Rhizobium leguminosarum and integrated the model with transcriptome, proteome, metabolome, and gene essentiality data to investigate nutrient uptake and metabolic fluxes characteristic of these different lifestyles. Synthesis of leucine, polyphosphate, and AICAR is predicted to be important in the rhizosphere, while myo-inositol catabolism is active in undifferentiated nodule bacteria in agreement with experimental evidence. The model indicates that bacteroids utilize xylose and glycolate in addition to dicarboxylates, which could explain previously described gene expression patterns. Histidine is predicted to be actively synthesized in bacteroids, consistent with transcriptome and proteome data for several rhizobial species. These results provide the basis for targeted experimental investigation of metabolic processes specific to the different stages of the rhizobium-legume symbioses. IMPORTANCE Rhizobia are soil bacteria that induce nodule formation on plant roots and differentiate into nitrogen-fixing bacteroids. A detailed understanding of this complex symbiosis is essential for advancing ongoing efforts to engineer novel symbioses with cereal crops for sustainable agriculture. Here, we reconstruct and validate a genome-scale metabolic model for Rhizobium leguminosarum bv. viciae 3841. By integrating the model with various experimental data sets specific to different stages of symbiosis formation, we elucidate the metabolic characteristics of rhizosphere bacteria, undifferentiated bacteria inside root nodules, and nitrogen-fixing bacteroids. Our model predicts metabolic flux patterns for these three distinct lifestyles, thus providing a framework for the interpretation of genome-scale experimental data sets and identifying targets for future experimental studies.
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影响因子:
4.5
作者:
diCenzo GC;Benedict AB;Fondi M;Walker GC;Finan TM;Mengoni A;Griffitts JS
通讯作者:
Griffitts JS
影响因子:
9.8
作者:
Busby PE;Soman C;Wagner MR;Friesen ML;Kremer J;Bennett A;Morsy M;Eisen JA;Leach JE;Dangl JL
通讯作者:
Dangl JL
影响因子:
4.3
作者:
Blazier, Anna S.;Papin, Jason A.
通讯作者:
Papin, Jason A.
影响因子:
6.4
作者:
Contador, Carolina A.;Lo, Siu-Kit;Lam, Hon-Ming
通讯作者:
Lam, Hon-Ming
影响因子:
9.8
作者:
Cole BJ;Feltcher ME;Waters RJ;Wetmore KM;Mucyn TS;Ryan EM;Wang G;Ul-Hasan S;McDonald M;Yoshikuni Y;Malmstrom RR;Deutschbauer AM;Dangl JL;Visel A
通讯作者:
Visel A