Manipulating rhizosphere microorganisms to improve crop yield in saline-alkali soil: a study on soybean growth and development
文献类型: 外文期刊
第一作者: Ren, Honglei
作者: Ren, Honglei;Zhang, Fengyi;Zhu, Xiao;Zhao, Kezhen;Zhang, Bixian;Wang, Jiajun;Lamlom, Sobhi F.
作者机构:
关键词: co-occurrence analysis; metagenomics; rhizosphere microorganisms; salinity; soybean phenotype
期刊名称:FRONTIERS IN MICROBIOLOGY ( 影响因子:5.2; 五年影响因子:6.2 )
ISSN:
年卷期: 2023 年 14 卷
页码:
收录情况: SCI
摘要: IntroductionRhizosphere microorganisms can effectively promote the stress resistance of plants, and some beneficial rhizosphere microorganisms can significantly promote the growth of crops under salt stress, which has the potential to develop special microbial fertilizers for increasing the yield of saline-alkali land and provides a low-cost and environmentally friendly new strategy for improving the crop yield of saline-alkali cultivated land by using agricultural microbial technology.MethodsIn May 2022, a field study in a completely randomized block design was conducted at the Heilongjiang Academy of Agricultural Sciences to explore the correlation between plant rhizosphere microorganisms and soybean growth in saline-alkali soil. Two soybean cultivars (Hening 531, a salt-tolerant variety, and 20_1846, a salt-sensitive variety) were planted at two experimental sites [Daqing (normal condition) and Harbin (saline-alkali conditions)], aiming to investigate the performance of soybean in saline-alkali environments.ResultsSoybeans grown in saline-alkali soil showed substantial reductions in key traits: plant height (25%), pod number (26.6%), seed yield (33%), and 100 seed weight (13%). This underscores the unsuitability of this soil type for soybean cultivation. Additionally, microbial analysis revealed 43 depleted and 56 enriched operational taxonomic units (OTUs) in the saline-alkali soil compared to normal soil. Furthermore, an analysis of ion-associated microbes identified 85 mOTUs with significant correlations with various ions. A co-occurrence network analysis revealed strong relationships between specific mOTUs and ions, such as Proteobacteria with multiple ions. In addition, the study investigated the differences in rhizosphere species between salt-tolerant and salt-sensitive soybean varieties under saline-alkali soil conditions. Redundancy analysis (RDA) indicated that mOTUs in saline-alkali soil were associated with pH and ions, while mOTUs in normal soil were correlated with Ca2+ and K+. Comparative analyses identified significant differences in mOTUs between salt-tolerant and salt-sensitive varieties under both saline-alkali and normal soil conditions. Planctomycetes, Proteobacteria, and Actinobacteria were dominant in the bacterial community of saline-alkali soil, with significant enrichment compared to normal soil. The study explored the functioning of the soybean rhizosphere key microbiome by comparing metagenomic data to four databases related to the carbon, nitrogen, phosphorus, and sulfur cycles. A total of 141 KOs (KEGG orthologues) were identified, with 66 KOs related to the carbon cycle, 16 KOs related to the nitrogen cycle, 48 KOs associated with the phosphorus cycle, and 11 KOs linked to the sulfur cycle. Significant correlations were found between specific mOTUs, functional genes, and phenotypic traits, including per mu yield (PMY), grain weight, and effective pod number per plant.ConclusionOverall, this study provides comprehensive insights into the structure, function, and salt-related species of soil microorganisms in saline-alkali soil and their associations with salt tolerance and soybean phenotype. The identification of key microbial species and functional categories offers valuable information for understanding the mechanisms underlying plant-microbe interactions in challenging soil conditions.
分类号:
- 相关文献
作者其他论文 更多>>
-
Genetic analysis and QTL mapping of seed hardness trait in a soybean (Glycine max) recombinant inbred line (RIL) population
作者:Ren, Honglei;Zhao, Kezhen;Zhang, Chunlei;Liu, Xiulin;Wang, Xueyang;Zhang, Fengyi;Yuan, Rongqiang;Zhang, Bixian;Lamlom, Sobhi F.;Gao, Yuan;Cao, Baoxiang
关键词:Soybean; Seed hardness; QTL mapping; Candidate genes; Calcium-binding; Pectin lyase-like
-
Elucidating the phenotypic basis of multi-environment stability for fiber yield and quality traits of cotton ( Gossypium hirsutum L.) using 498 recombinant inbred lines
作者:Elsamman, Elameer Y.;Ge, Qun;Gong, Juwu;Li, Junwen;Yan, Haoliang;Zhong, Yike;Bai, Bingnan;Qiao, Dan;Gong, Wankui;Yuan, Youlu;Elsamman, Elameer Y.;Ge, Qun;Gong, Juwu;Li, Junwen;Yan, Haoliang;Yuan, Youlu;Wang, Xiaoyu;Lamlom, Sobhi F.;Abdelghany, Ahmed M.
关键词:Cotton; MTSI; Fiber quality traits; RILs; Multi-trait phenotyping; Phenotypic stability
-
Dissecting the resilience of barley genotypes under multiple adverse environmental conditions
作者:Abdelghany, Ahmed M.;Naser, Mahmoud;Lamlom, Sobhi F.;Naser, Mahmoud
关键词:Barley (Hordeum vulgare L.); Stability index (MTSI); Climate resilience; Environmental variability; Heat stress
-
Is non-legume green manure rotation or straw biochar more effective in promoting peanut production?
作者:Zang, Xiuzhi;Ren, Jinfeng;Liu, Jianbo;Cao, Tianxiao;Chi, Jiajun;Zhu, Xiao;Li, Liuyin;Li, Xiangdong;Yang, Dongqing;Liu, Juan
关键词:Soil quality; Physicochemical properties; Microbial community; Net income; TOPSIS
-
Optimizing wheat productivity through integrated management of irrigation, nutrition, and organic amendments
作者:Farouk, A. S.;Shehab, A. A.;Alwakel, Sh. E.;Makled, Khaled M.;Abdelghany, Ahmed M.;Naif, Eman;Ren, Honglei;Lamlom, Sobhi F.
关键词:Potassium bicarbonate; Composting; Drip irrigation; Sustainable agriculture; Crop Productivity
-
Revitalizing maize growth and yield in water-limited environments through silicon and zinc foliar applications
作者:Lamlom, Sobhi F.;El-Sorady, Gawhara A.;Abdelghany, Ahmed M.;Ren, Honglei;Ali, Hayssam M.;Usman, Muhammad;Shaghaleh, Hiba;Hamoud, Yousef Alhaj;Hamoud, Yousef Alhaj
关键词:Drought stress; Growth attributes; Physiological traits; Silicon; Zinc; Zea mays
-
Discrimination of five commercial Guibourtia wood species using terahertz time domain spectroscopy combined with machine learning approaches
作者:Yu, Min;Wang, Jinbo;Yang, Meng;Zhou, Liang;Qian, Liangcun;Gao, Junlan;Wang, Jiajun
关键词:terahertz time domain spectroscopy (THz-TDS); principal component analysis (PCA); random forest; refractive index; wood species identification