Data from: Controlled irrigation suppresses methane emissions by reshaping the rhizosphere microbiomes in rice
Data files
Dec 01, 2025 version files 3.95 GB
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Bin_Table.csv
65.84 KB
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Concoct_Fasta_Files.zip
673.81 KB
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Contig_Table.tsv
3.94 GB
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Differential_taxa_list.csv
43.37 KB
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Faprotax_function.csv
6.05 KB
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KEGG_RPKM.csv
1.53 MB
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README.md
9.19 KB
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Relative_Abundance_Matrix.zip
406.26 KB
Abstract
The rhizosphere microbiomes of rice plants under conventional flood irrigation consist of highly complex consortia of microorganisms, and in particular, methanogens purportedly associated with methane emissions therein. Controlled irrigation has been proposed as a cultivation method of choice over continuous flooding to reduce water and fertilizer usage in an aerobic environment. However, a systemic understanding of the assembly and function of microbiota in the rhizosphere under drip and flood irrigation remains unclear. Using empirical analyses, we report a significant reduction in methane emissions in controlled irrigation compared to the flooded environment. Genotypic or varietal differences did not influence such methane emissions under conventional flooded cultivation of rice. Using metagenomic sequencing and computational analyses, we provide a deeper understanding of how drip irrigation or continuous flooding affects the root-associated microbiomes in rice. Rhizosphere soil from two different rice varieties, Huanghuazhan and Temasek rice, grown under drip or flood conditions in a greenhouse was collected over 2 months post-transplantation for metagenomic analysis. Our results reveal that drip irrigation favours microbes involved in the nitrifying-denitrifying processes while continuous flooding enriches for methanotrophs and methanogenic archaea. Syntrophic microbiomes associated with methanogenesis were significantly reduced in drip irrigation. Several keystone taxa were evident in the co-occurrence network model related to methanogenic, methanotrophic, nitrifying, sulphur-oxidising and sulphur-reducing activities. Lastly, oxygen availability and redox potential were identified as key drivers that reshape rhizosphere microbiota and the associated metabolic functional differences observed between the two irrigation regimes leading up to the microbial mitigation of climate impact.
Dataset DOI: 10.5061/dryad.76hdr7t8s
Study Description
In this study, we assessed and characterized the soil microbiomes of two indica rice varieties, Huanghuazhan (HHZ, China) and Temasek rice (Singapore) under drip irrigation and continuous flooding conditions in a greenhouse. The microbiome composition and structure helped provide further insight on the possible microbial activities and metabolic functions in the soil. In addition, potential interactions among different microbial species/taxa were inferred using microbial co-occurrence network analyses. Important keystone members were identified to predict microbial clusters and their relation to methane emissions. HHZ is an elite indica rice variety from South China that is known for its high yield. Temasek rice is a variety bred using marker-assisted breeding technique performed in Singapore. Temasek rice also has high yield, disease resistance and submergence-tolerance traits that impart adaptation to various cultivation regimes and environmental conditions. Using shotgun metagenomics analyses, we (i) unravel the taxonomic and functional shifts in the root microbiomes under flood- and drip-irrigated conditions and (ii) identify syntrophic microbial communities that are involved in methane production and tropism (iii) provide insights into nutrient metabolism and its influence on methane emissions and/or suppression. Lastly, we compared the root morphology under flood and drip-irrigated rice systems together with a detailed analysis of the soil parameters such as oxidation reduction potential and pH associated with anaerobic and aerobic cultivation regimes.
Files
File: Bin_Table.csv
Description: Taxonomic bins for contigs assembled from the genomic DNA.
Variables
Bin ID: The unique identifier assigned to the specific genomic bin by CONCOCT.
Method: DAS Tool.
Tax: The taxonomic classification of the organism found in the bin determined by analyzing the entire genome against a database like GTDB.
Tax 16S: The taxonomic classification based specifically on 16S rRNA sequences found within the bin.
Length: The total length of the genome bin in base pairs (bp).
GC perc: The Guanine-Cytosine content expressed as a percentage.
Num contigs: The total number of contiguous sequences (contigs) or fragments that make up the bin.
Disparity: CheckM metric to assess how different the tetra-nucleotide signatures are within the bin where a high number suggests the bin might contain DNA from multiple different sources.
Completeness: An estimate percentage of how much of the original organism's genome is present in the bin.
Contamination: An estimate percentage of foreign DNA present in the bin. Values over 100 could indicate contamination where the bin may contain multiple distinct genomes lumped together.
Strain het: Index (0-100) indicating if the "Contamination" is likely due to the presence of closely related strains.
Transcript per million (TPM) counts for Samples
- HHZ-Drip1: Huanghuazhan Drip 1
- HHZ-Drip2: Huanghuazhan Drip 2
- HHZ-Flood1: Huanghuazhan Flood 1
- HHZ-Flood2: Huanghuazhan Flood 2
- TR-Drip1: Temasek Rice Drip 1
- TR-Drip2: Temasek Rice Drip 2
- TR-Flood1: Temasek Rice Flood 1
- TR-Flood2: Temasek Rice Flood 2
File: Differential_taxa_list.csv
Description: Differential taxa list with 513 taxa classified at the genus level and their corresponding p-value were found to be differentially enriched in flood and drip-irrigated soil.
Variables
feature: The specific microbe or taxonomic group being analyzed.
metadata: "Irrigation" metadata used for analysis.
value: Irrigation factor levels: "Flood" or "Drip".
coef: The Coefficient (Effect Size).
stderr: The Standard Error of the coefficient.
N: The total number of samples included in the analysis.
N.not.0: The number of samples where this microbe was actually detected.
pval: The p-value (nominal significance).
qval: The q-value (False Discovery Rate adjusted p-value).
File: Faprotax_function.csv
Description: Putative metabolic functions were predicted using Functional Annotation of Prokaryotic Taxa (FAPROTAX). Functional activities relating to methanogenesis, methanotrophy, methylotrophy, methanol oxidation, hydrocarbon and aromatic compound degradation were identified and were higher in continuously flooded soil.
Variables
faprotax: Functional Groups or Metabolic Pathways.
Normalized read counts for Samples
- HHZ-Drip1: Huanghuazhan Drip 1
- HHZ-Drip2: Huanghuazhan Drip 2
- HHZ-Flood1: Huanghuazhan Flood 1
- HHZ-Flood2: Huanghuazhan Flood 2
- TR-Drip1: Temasek Rice Drip 1
- TR-Drip2: Temasek Rice Drip 2
- TR-Flood1: Temasek Rice Flood 1
- TR-Flood2: Temasek Rice Flood 2
File: Relative_Abundance_Matrix.zip
Description: Relative abundance taxa classification from Kingdom, Phylum, Order, Family, Genus and Species. Files are in csv format.
taxa: taxon names collapsed at the following levels:
- Kingdom_Abundance.csv
- Phylum_Abundance.csv
- Class_Abundance.csv
- Order_Abundance.csv
- Family_Abundance.csv
- Genus_Abundance.csv
- Species_Abundance.csv
File: Concoct_Fasta_Files.zip
Description: Concoct119 and Concoct137 are metagenome assembled contigs that closely match ** Methanogenic Archaea* *species.
Variables
- Concoct.119.fa: Assembled contig sequence for 119 taxonomic bin
- Concoct.119.fa.tax: Taxonomic assignment for contig119.
- Concoct.137.fa: Assembled contig 137 sequence
- Concoct.137.fa.tax: Taxonomic assignment for contig137.
File: KEGG_RPKM.csv
Description: Metabolic functions of microbes that are present in drip and flood-irrigated soil were predicted by mapping the metagenomes to putative functions in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Reads were expressed as RPKM (Reads Per Kilobase per Million mapped reads).
Variables
- HHZ-Drip1: Huanghuazhan Drip 1
- HHZ-Drip2: Huanghuazhan Drip 2
- HHZ-Flood1: Huanghuazhan Flood 1
- HHZ-Flood2: Huanghuazhan Flood 2
- TR-Drip1: Temasek Rice Drip 1
- TR-Drip2: Temasek Rice Drip 2
- TR-Flood1: Temasek Rice Flood 1
- TR-Flood2: Temasek Rice Flood 2
File: Contig_Table.tsv
Description:
1. Gene Identification and Characteristics:
- ORF ID and Contig ID: These columns identify specific genetic sequences.
- Method: Prodigal tool.
- Length NT and Length AA: These indicate the length of the genetic sequence in nucleotides (NT) and the corresponding protein in amino acids (AA).
- GC percentage: This is the percentage of Guanine (G) and Cytosine.
2. Functional and Taxonomic Annotation:
- Gene name: This column provides the common name of the identified gene, if known.
- Tax: This indicates the taxonomic classification of the organism from which the gene is thought to originate.
- KEGG ID, KEGGFUN, and KEGGPATH: The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.
- KEGG ID is a specific identifier for a particular gene or protein function.
- KEGGFUN describes the function of that gene.
- KEGGPATH shows the metabolic or signaling pathways in which the gene product is involved.
- COG ID, COGFUN, and COGPATH: The Clusters of Orthologous Groups (COG) database is another tool for functional annotation of proteins based on their evolutionary relationships.
- COG ID is the identifier for a cluster of related proteins.
- COGFUN provides a general functional category.
- COGPATH indicates the broader functional pathway.
- PFAM: To infer the function of a protein even if it has not been experimentally characterized.
- ARG-OAP and BACMET: To indicate potential resistance mechanisms in the sampled microbial community.
Access information
Data was derived from the following sources:
- BioProject ID of PRJNA1193822 and accession numbers SRX26959100 to SRX26959107
- ID: SRX26959100 HHZ Rice Metagenome Drip Irrigation
- ID: SRX26959101 HHZ Rice Metagenome Drip Irrigation
- ID: SRX26959102 HHZ Rice Metagenome Flood Irrigation
- ID: SRX26959103 HHZ Rice Metagenome Flood Irrigation
- ID: SRX26959104 Temasek Rice Metagenome Drip Irrigation
- ID: SRX26959105 Temasek Rice Metagenome Drip Irrigation
- ID: SRX26959106 Temasek Rice Metagenome Flood Irrigation
- ID: SRX26959107 Temasek Rice Metagenome Flood Irrigation
- Other publicly accessible locations of the data:
