Effects of increasing drip irrigation at different maize growth stages on soil microorganisms
IntroductionTo investigate the effects of different drip irrigation periods on soil microbial communities and functions.MethodsIncreasing drip irrigation amount at the seedling (S), jointing (J), bell (B), tasseling (T) and grain filling (G) stages of maize were studied using no increase in irrigati...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-01-01
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| Series: | Frontiers in Microbiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2024.1343302/full |
| _version_ | 1797338443946131456 |
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| author | Lei Wang Lei Wang Xiaojuan Wang Xiaojuan Wang Xiaojuan Wang Xiaojuan Wang Xiaojuan Wang Tianle Wang |
| author_facet | Lei Wang Lei Wang Xiaojuan Wang Xiaojuan Wang Xiaojuan Wang Xiaojuan Wang Xiaojuan Wang Tianle Wang |
| author_sort | Lei Wang |
| collection | DOAJ |
| description | IntroductionTo investigate the effects of different drip irrigation periods on soil microbial communities and functions.MethodsIncreasing drip irrigation amount at the seedling (S), jointing (J), bell (B), tasseling (T) and grain filling (G) stages of maize were studied using no increase in irrigation amount as control (CK). Principal component analysis was conducted to comprehensively evaluate soil microbial quality following the different drip irrigation treatments. In addition, the characteristics of the community structure and the potential functional composition of soil bacteria and fungi were comparatively analyzed by combining amplicon sequencing and functional prediction methods.ResultsThe results indicated that MBNT15 was the most important genus for the classification of soil bacterial samples, Saitozyma was the most important genus for the classification of soil fungal samples, and fungi were more important than bacteria for the classification of soil microbial samples. Compared with fungal communities, bacterial communities exhibited high levels of functional diversity. The proportion of metabolism was the highest in the prediction of bacterial primary functions, and carbohydrate metabolism and amino acid metabolism were important functions in the prediction of bacterial secondary functions. BugBase phenotype prediction results showed that soil bacteria under B treatment had a higher number of aerobic bacteria and greater resistance to disease and stress. The J treatment had the highest number of bacteria with biofilm forms, and the J, S, and G treatments contained more potentially pathogenic bacteria but fewer stress-tolerant bacteria compared with the CK treatment. The number of Saprotroph was the largest and the number of Symbiotroph was the least. The relative abundances of Saprotroph, Pathotroph and Symbiotroph were 68.60%~74.33%, 15.76%~20.60% and 9.16%~11.13%, respectively.DiscussionThe findings provide a reference for conserving water resources, improving maize yield, and predicting soil microbial metabolic potential and function by reflecting the richness of the soil microbial community structure in maize fields. |
| first_indexed | 2024-03-08T09:30:19Z |
| format | Article |
| id | doaj.art-bdd64aa0050949a79fe375a6ca94022e |
| institution | Directory Open Access Journal |
| issn | 1664-302X |
| language | English |
| last_indexed | 2024-03-08T09:30:19Z |
| publishDate | 2024-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj.art-bdd64aa0050949a79fe375a6ca94022e2024-01-31T04:40:01ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2024-01-011510.3389/fmicb.2024.13433021343302Effects of increasing drip irrigation at different maize growth stages on soil microorganismsLei Wang0Lei Wang1Xiaojuan Wang2Xiaojuan Wang3Xiaojuan Wang4Xiaojuan Wang5Xiaojuan Wang6Tianle Wang7Shanxi Institute of Organic Dryland Farming, Shanxi Agricultural University, Taiyuan, Shanxi, ChinaCollege of Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi, ChinaShanxi Institute of Organic Dryland Farming, Shanxi Agricultural University, Taiyuan, Shanxi, ChinaCollege of Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi, ChinaState Key Laboratory of Integrative Sustainable Dryland Agriculture (In Preparation), Shanxi Agricultural University, Taiyuan, Shanxi, ChinaKey Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry of Agriculture and Rural Affairs and Shanxi Province), Shanxi Agricultural University, Taiyuan, Shanxi, ChinaShanxi Province Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi, ChinaCollege of Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi, ChinaIntroductionTo investigate the effects of different drip irrigation periods on soil microbial communities and functions.MethodsIncreasing drip irrigation amount at the seedling (S), jointing (J), bell (B), tasseling (T) and grain filling (G) stages of maize were studied using no increase in irrigation amount as control (CK). Principal component analysis was conducted to comprehensively evaluate soil microbial quality following the different drip irrigation treatments. In addition, the characteristics of the community structure and the potential functional composition of soil bacteria and fungi were comparatively analyzed by combining amplicon sequencing and functional prediction methods.ResultsThe results indicated that MBNT15 was the most important genus for the classification of soil bacterial samples, Saitozyma was the most important genus for the classification of soil fungal samples, and fungi were more important than bacteria for the classification of soil microbial samples. Compared with fungal communities, bacterial communities exhibited high levels of functional diversity. The proportion of metabolism was the highest in the prediction of bacterial primary functions, and carbohydrate metabolism and amino acid metabolism were important functions in the prediction of bacterial secondary functions. BugBase phenotype prediction results showed that soil bacteria under B treatment had a higher number of aerobic bacteria and greater resistance to disease and stress. The J treatment had the highest number of bacteria with biofilm forms, and the J, S, and G treatments contained more potentially pathogenic bacteria but fewer stress-tolerant bacteria compared with the CK treatment. The number of Saprotroph was the largest and the number of Symbiotroph was the least. The relative abundances of Saprotroph, Pathotroph and Symbiotroph were 68.60%~74.33%, 15.76%~20.60% and 9.16%~11.13%, respectively.DiscussionThe findings provide a reference for conserving water resources, improving maize yield, and predicting soil microbial metabolic potential and function by reflecting the richness of the soil microbial community structure in maize fields.https://www.frontiersin.org/articles/10.3389/fmicb.2024.1343302/fullmaizedrip irrigationsoil bacteriasoil funguscommunity structuregene functional prediction |
| spellingShingle | Lei Wang Lei Wang Xiaojuan Wang Xiaojuan Wang Xiaojuan Wang Xiaojuan Wang Xiaojuan Wang Tianle Wang Effects of increasing drip irrigation at different maize growth stages on soil microorganisms Frontiers in Microbiology maize drip irrigation soil bacteria soil fungus community structure gene functional prediction |
| title | Effects of increasing drip irrigation at different maize growth stages on soil microorganisms |
| title_full | Effects of increasing drip irrigation at different maize growth stages on soil microorganisms |
| title_fullStr | Effects of increasing drip irrigation at different maize growth stages on soil microorganisms |
| title_full_unstemmed | Effects of increasing drip irrigation at different maize growth stages on soil microorganisms |
| title_short | Effects of increasing drip irrigation at different maize growth stages on soil microorganisms |
| title_sort | effects of increasing drip irrigation at different maize growth stages on soil microorganisms |
| topic | maize drip irrigation soil bacteria soil fungus community structure gene functional prediction |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2024.1343302/full |
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