Soil Co2 Emission Reduction by Unknown Bacterial Species Via Promoting Lactic Acid Fermentation in the Qinghai-Tibetan Plateau Alpine Meadow

41 Pages Posted: 14 Jul 2023

See all articles by Jieying Wang

Jieying Wang

Northwest University - Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity

Xiaofeng Xu

San Diego State University - Department of Biology

Yanfang Liu

Qinghai Normal University

Wenying Wang

Qinghai Normal University

Chengjie Ren

Northwest Agricultural and Forestry University - College of Agronomy

Yaoxin Guo

Northwest University - College of Life Sciences

Jun Wang

Northwest University - Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity

Ninglian Wang

affiliation not provided to SSRN

Liyuan He

San Diego State University - Department of Biology

Fazhu Zhao

Northwest University - Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity

Abstract

Highly variable soil microbial respiration among grasslands has been identified as a major cause of uncertainty in regional carbon (C) budget estimation in the Qinghai-Tibetan Plateau; microbial metabolism mechanisms might explain this variation, but remain elusive. Therefore, we investigated soil CO2 production and the associated functional genes in incubated soils from two major alpine grasslands on the Qinghai-Tibetan Plateau. The results showed that the cumulative CO2 emissions from alpine meadow soils were 71%-83% lower than those from alpine steppe soils. Both the enriched genes encoding fermentation and glycolysis (Embden-Meyerhof pathway (EMP)) and the diminished genes encoding tricarboxylic acid cycle (TCA) and phosphate pentose pathway (PPP) explained the CO2 emission reduction in the alpine meadow soils. The EMP: PPP and fermentation: TCA cycle ratios in alpine meadow soils were 1.45- and 1.50-fold, respectively, higher than those in alpine steppe soils, respectively. Such shifts in metabolic pathways were primarily caused by the increasing dominance of an unknown species of Desulfobacteraceae with high glycolytic potential, carrying a higher abundance of ldh genes during fermentation. These unknown species were promoted by warmer temperatures and higher precipitation in the alpine meadows, indicating a strong warming-induced microbial regulation of soil C decomposition by shifting cellular metabolism. Further studies on the unknown species would enhance our understanding and predictability of C cycling in alpine grasslands.

Keywords: cellular metabolism, carbon decomposition, assembled genomes, grassland type, metagenomic sequencing

Suggested Citation

Wang, Jieying and Xu, Xiaofeng and Liu, Yanfang and Wang, Wenying and Ren, Chengjie and Guo, Yaoxin and Wang, Jun and Wang, Ninglian and He, Liyuan and Zhao, Fazhu, Soil Co2 Emission Reduction by Unknown Bacterial Species Via Promoting Lactic Acid Fermentation in the Qinghai-Tibetan Plateau Alpine Meadow. Available at SSRN: https://ssrn.com/abstract=4510793 or http://dx.doi.org/10.2139/ssrn.4510793

Jieying Wang

Northwest University - Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity ( email )

Xiaofeng Xu

San Diego State University - Department of Biology ( email )

Yanfang Liu

Qinghai Normal University ( email )

Wenying Wang

Qinghai Normal University ( email )

Chengjie Ren

Northwest Agricultural and Forestry University - College of Agronomy ( email )

Yaoxin Guo

Northwest University - College of Life Sciences ( email )

Jun Wang

Northwest University - Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity ( email )

Ninglian Wang

affiliation not provided to SSRN ( email )

Nigeria

Liyuan He

San Diego State University - Department of Biology ( email )

United States

Fazhu Zhao (Contact Author)

Northwest University - Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity ( email )

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
20
Abstract Views
161
PlumX Metrics