1
|
You Y, Wang L, Liu X, Wang X, Jiang L, Ding C, Wang W, Zhang D, Zhao X. Interspecific plant interaction structures the microbiomes of poplar-soil interface to alter nutrient cycling and utilization. Microbiol Spectr 2024; 12:e0336823. [PMID: 38197657 PMCID: PMC10846221 DOI: 10.1128/spectrum.03368-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 12/12/2023] [Indexed: 01/11/2024] Open
Abstract
Terrestrial plants can influence the growth and health of adjacent plants through interspecific interaction. Here, the mechanisms of interspecific plant interaction on microbial function and nutrient utilization in the plant-soil interface (non-rhizosphere soil, rhizosphere soil, and root) were studied by soybean- and potato-poplar intercropping. First, metagenomics showed that soybean- and potato-poplar intercropping influenced the composition and co-occurrence networks of microbial communities in different ecological niches, with higher stability of the microbial community in soybean intercropping. Second, the gene abundance related to carbon metabolism, nitrogen cycling, phosphorus cycling, and sulfur cycling was increased at the poplar-soil interface in soybean intercropping. Moreover, soybean intercropping increased soil nutrient content and enzymatic activity. It showed higher metabolic potential in nutrient metabolism and transportation. Third, functional microorganisms that influenced nutrient cycling and transportation in different intercropping have been identified, namely Acidobacteria, Sphingomonas, Gemmatimonadaceae, Alphaproteobacteria, and Bradyrhizobium. Therefore, intercropping can construct microbial communities to alter metabolic functions and improve nutrient cycling and absorption. Interspecific plant interactions to influence the microbiome were revealed, opening up a new way for the precise regulation of plant microbiome.IMPORTANCEPoplar has the characteristics of wide distribution, strong adaptability, and fast growth, which is an ideal tree species for timber forest. In this study, metagenomics and elemental analysis were used to comprehensively reveal the effects of interspecific plant interactions on microbial communities and functions in different ecological niches. It can provide a theoretical basis for the development and application of the precise management model in poplar.
Collapse
Affiliation(s)
- Yimin You
- Jilin Provincial Key Laboratory of Tree and Grass Genetics and Breeding, College of Forestry and Grassland Science, Jilin Agricultural University, Changchun, China
| | - Liran Wang
- Jilin Provincial Key Laboratory of Tree and Grass Genetics and Breeding, College of Forestry and Grassland Science, Jilin Agricultural University, Changchun, China
| | - Xiaoting Liu
- National Key Laboratory of Forest Genetics and Breeding, Northeast Forestry University, Harbin, China
| | - Xuelai Wang
- National Key Laboratory of Forest Genetics and Breeding, Northeast Forestry University, Harbin, China
| | - Luping Jiang
- National Key Laboratory of Forest Genetics and Breeding, Northeast Forestry University, Harbin, China
| | | | - Weina Wang
- Heilongjiang Provincial Forestry Technology Service Center, Heilongjiang Province, China
| | | | - Xiyang Zhao
- Jilin Provincial Key Laboratory of Tree and Grass Genetics and Breeding, College of Forestry and Grassland Science, Jilin Agricultural University, Changchun, China
| |
Collapse
|
2
|
Sun Y, Chen L, Zhang S, Miao Y, Zhang Y, Li Z, Zhao J, Yu L, Zhang J, Qin X, Yao Y. Plant Interaction Patterns Shape the Soil Microbial Community and Nutrient Cycling in Different Intercropping Scenarios of Aromatic Plant Species. Front Microbiol 2022; 13:888789. [PMID: 35711748 PMCID: PMC9197114 DOI: 10.3389/fmicb.2022.888789] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 04/19/2022] [Indexed: 12/26/2022] Open
Abstract
Intercropping systems improve the soil nutrient cycle through microbial community activity and then land productivity. However, their interactions mechanism underlying that the mixed aromatic plant species intercropping regulate the soil microbiome and nutrient cycling on the perennial woody orchard is still uncovered. We designed treatments with 0, 1, and 3 aromatic plant species intercropped in two scenarios of clean tillage (T model, T1, T2, and T4) and natural grass (G model, G1, G2, and G4) in apple orchards, and investigated intercrops effects at the branch growing stage (BGS) and fruit development stage (FDS), respectively. Compared with T model, G model in FDS increased alpha diversity of bacterial community and Shannon index fungal community, the relative abundance of dominant taxa, such as Acidobacteria and Actinobacteria, and also the numbers of up and down-regulated OTUs, the most of indices of co-occurrence network in both bacterial and fungal community, and then improved invertase activity and available nitrogen content. Relative to G1, G2 and G4 reduced diversity bacterial community in FDS, the relative abundance of dominant taxa, the most of indices of co-occurrence network, and then improved soil invertase activity and total phosphorus content in soil. Moreover, Shannon index of fungal community, the altered number of OTUs and the most indices of co-occurrence network were higher in G4 than those in G2 in FDS. These changes above in FDS were more markedly than those in BGS, suggesting that chemical diversity of litter from mixed species of aromatic plants in natural grass scenario led to diversity, complexity, and stability of soil microbial community and then nutrient cycling. It provided a novel highlight and method to modulate biocenosis and then improve the soil nutrient cycling.
Collapse
Affiliation(s)
- Yue Sun
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, China.,College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China.,Beijing Key Laboratory for Agricultural Application and New Technique, Beijing University of Agriculture, Beijing, China.,College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Li Chen
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, China.,College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China.,Beijing Key Laboratory for Agricultural Application and New Technique, Beijing University of Agriculture, Beijing, China
| | - Shiyi Zhang
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, China.,College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China.,Beijing Key Laboratory for Agricultural Application and New Technique, Beijing University of Agriculture, Beijing, China
| | - Yantao Miao
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, China.,College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China.,Beijing Key Laboratory for Agricultural Application and New Technique, Beijing University of Agriculture, Beijing, China
| | - Yan Zhang
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, China.,College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China.,Beijing Key Laboratory for Agricultural Application and New Technique, Beijing University of Agriculture, Beijing, China
| | - Zhenglin Li
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, China.,College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China.,Beijing Key Laboratory for Agricultural Application and New Technique, Beijing University of Agriculture, Beijing, China
| | - Jingya Zhao
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, China.,College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China.,Beijing Key Laboratory for Agricultural Application and New Technique, Beijing University of Agriculture, Beijing, China
| | - Lu Yu
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, China.,College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China.,Beijing Key Laboratory for Agricultural Application and New Technique, Beijing University of Agriculture, Beijing, China
| | - Jie Zhang
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, China.,College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China.,Beijing Key Laboratory for Agricultural Application and New Technique, Beijing University of Agriculture, Beijing, China
| | - Xiaoxiao Qin
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, China.,College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China.,Beijing Key Laboratory for Agricultural Application and New Technique, Beijing University of Agriculture, Beijing, China
| | - Yuncong Yao
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, China.,College of Plant Science and Technology, Beijing University of Agriculture, Beijing, China.,Beijing Key Laboratory for Agricultural Application and New Technique, Beijing University of Agriculture, Beijing, China
| |
Collapse
|
3
|
Effects of the Preceding Crop on Soil N Availability, Biological Nitrogen Fixation, and Fresh Pod Yield of Organically Grown Faba Bean (Vicia faba L.). HORTICULTURAE 2022. [DOI: 10.3390/horticulturae8060496] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
In the current study, the impact of the preceding crops on growth, fresh pod yield, nitrogen fixation efficiency, and nitrogen nutrition of faba bean (Vicia faba L.) was investigated for two years in both organic and conventional crops. As preceding crops served cabbage, pea, and faba bean. The pod number per plant (PN) and the total fresh pod yield (TFPY) were significantly lower with cabbage compared to pea and faba bean as preceding crops in both cropping systems and both experimental years. However, in the organic farming system, pea increased significantly in PN and TFPY compared to faba bean as a preceding crop, while in the conventional system, there was no significant difference between the two legumes. The greater yield performance with the two legumes as preceding crops was associated with higher soil NO3-N and total-N concentrations at the beginning of the subsequent faba bean crop. The higher soil N availability when the preceding crop was a legume resulted partly from the higher biomass of crop residues left by these crops on the field after harvest, compared to cabbage. However, it was also associated with a more extensive nodulation of the faba bean roots by rhizobia and a higher percentage of N derived from atmosphere (%Ndfa) in their plant tissues, as determined through the natural abundance of the 15N isotope, when the preceding crop was a legume. The cropping system had no impact on pod yield, but organic farming increased the %Ndfa in both years.
Collapse
|
5
|
Long term crop rotation effect on subsequent soybean yield explained by soil and root-associated microbiomes and soil health indicators. Sci Rep 2021; 11:9200. [PMID: 33911170 PMCID: PMC8080707 DOI: 10.1038/s41598-021-88784-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 04/16/2021] [Indexed: 12/13/2022] Open
Abstract
Crop rotation is an important management tactic that farmers use to manage crop production and reduce pests and diseases. Long-term crop rotations may select groups of microbes that form beneficial or pathogenic associations with the following crops, which could explain observed crop yield differences with different crop sequences. To test this hypothesis, we used two locations each with four long-term (12–14-year), replicated, rotation treatments: continuous corn (CCC), corn/corn/soybean (SCC), corn/soybean (CSC), and soybean/corn (SCS). Afterwards, soybean was planted, and yield and soil health indicators, bulk soil microbiome, and soybean root-associated microbiome were assessed. Soybean yields, as well as soil protein, and POXC as soil health indicators were higher following CCC than in the other three treatments at both locations. A bacterial taxon in family JG30-KF-AS9 was enriched in CCC, whereas Microvirga, Rhodomicrobium, and Micromonosporaceae were enriched in SCS. Several ascomycetes explain lowered yield as soybean pathogens in SCS. Surprisingly, Tumularia, Pyrenochaetopsis and Schizothecium were enriched in soybean roots after CCC, suggesting corn pathogens colonizing soybean roots as nonpathogens. Our finding of associations between soil health indicators related to microbiomes and soybean yield has wide-ranging implications, opening the possibility of manipulating microbiomes to improve crop yield potential.
Collapse
|