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Enzymatic Stoichiometry and Vector Characteristics Can Indicate Microbial Resource Limitation: Empirical Evidence from Experiment with Multiple Nutrient Addition: Enzymatic Stoichiometry and Vector Characteristics: Z. Zhai and others.

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Title: Enzymatic Stoichiometry and Vector Characteristics Can Indicate Microbial Resource Limitation: Empirical Evidence from Experiment with Multiple Nutrient Addition: Enzymatic Stoichiometry and Vector Characteristics: Z. Zhai and others.
Authors: Zhai, Zhifeng1,2 (AUTHOR), Lin, Liying1,2 (AUTHOR), Li, Tong3,4 (AUTHOR), Bu, Zhaojun1,2 (AUTHOR), Wang, Meng1,2 (AUTHOR) meng.wang3@mail.mcgill.ca
Source: Ecosystems. Feb2025, Vol. 28 Issue 1, p1-13. 13p.
Subjects: Vector analysis, Test validity, Model theory, Leucine, Enzymes, Microbial enzymes
Abstract: Theory and models of enzymatic stoichiometry have been typically used to assess microbial resource limitation, such as the ratios between the activities of carbon (C), nitrogen (N) and phosphorus (P) acquiring enzymes and vector characteristics (that is, vector length and angle). However, the validity of using these stoichiometry indicators to infer microbial resource limitation has been questioned by recent some studies. To test the validity of using these indicators in peatland ecosystems, we conducted a laboratory incubation experiment by adding available C, N and P individually as well as in combination to create various resource limitation scenarios. Results showed that the activity of C- (β-D-glucosidase, BDG) and P-acquiring enzymes (phosphatase, PHO) significantly decreased by 87% and 80% with the addition of C and P, respectively. However, the activity of N-acquiring enzymes (N-acetyl-β-glucosaminidase and leucine aminopeptidase, NAG + LAP) increased by 11.5% following N addition, introducing a bias when using the ratios of lnBDG:ln(NAG + LAP) and ln(NAG + LAP):lnPHO to assess microbial resource limitation. Although the ratios of lnBDG:lnPHO could better indicate C or P limitation, it was not valid to indicate C and P co-limitation. Overall, any individual enzymatic stoichiometric ratio only based on two enzymes (for example, BDG:NAG) could not validly indicate microbial resources co-limitation. However, vector characteristics provided an intuitive indication of microbial C and N co-limitation, as well as C and P co-limitation, but not N and P co-limitation. In summary, we recommend prioritizing the more intuitive vector characteristics as a basis for evaluating microbial resource limitation in peatland ecosystems. [ABSTRACT FROM AUTHOR]
Copyright of Ecosystems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Enzymatic Stoichiometry and Vector Characteristics Can Indicate Microbial Resource Limitation: Empirical Evidence from Experiment with Multiple Nutrient Addition: Enzymatic Stoichiometry and Vector Characteristics: Z. Zhai and others.
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  Data: <searchLink fieldCode="DE" term="%22Vector+analysis%22">Vector analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Test+validity%22">Test validity</searchLink><br /><searchLink fieldCode="DE" term="%22Model+theory%22">Model theory</searchLink><br /><searchLink fieldCode="DE" term="%22Leucine%22">Leucine</searchLink><br /><searchLink fieldCode="DE" term="%22Enzymes%22">Enzymes</searchLink><br /><searchLink fieldCode="DE" term="%22Microbial+enzymes%22">Microbial enzymes</searchLink>
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  Data: Theory and models of enzymatic stoichiometry have been typically used to assess microbial resource limitation, such as the ratios between the activities of carbon (C), nitrogen (N) and phosphorus (P) acquiring enzymes and vector characteristics (that is, vector length and angle). However, the validity of using these stoichiometry indicators to infer microbial resource limitation has been questioned by recent some studies. To test the validity of using these indicators in peatland ecosystems, we conducted a laboratory incubation experiment by adding available C, N and P individually as well as in combination to create various resource limitation scenarios. Results showed that the activity of C- (β-D-glucosidase, BDG) and P-acquiring enzymes (phosphatase, PHO) significantly decreased by 87% and 80% with the addition of C and P, respectively. However, the activity of N-acquiring enzymes (N-acetyl-β-glucosaminidase and leucine aminopeptidase, NAG + LAP) increased by 11.5% following N addition, introducing a bias when using the ratios of lnBDG:ln(NAG + LAP) and ln(NAG + LAP):lnPHO to assess microbial resource limitation. Although the ratios of lnBDG:lnPHO could better indicate C or P limitation, it was not valid to indicate C and P co-limitation. Overall, any individual enzymatic stoichiometric ratio only based on two enzymes (for example, BDG:NAG) could not validly indicate microbial resources co-limitation. However, vector characteristics provided an intuitive indication of microbial C and N co-limitation, as well as C and P co-limitation, but not N and P co-limitation. In summary, we recommend prioritizing the more intuitive vector characteristics as a basis for evaluating microbial resource limitation in peatland ecosystems. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Ecosystems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Feb2025
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