DOI: 10.57760/sciencedb.25887
title: Physiological and microbial regulatory mechanisms of nitrogen use efficiency during foxtail millet domestication under low-nitrogen stress
title: Physiological and microbial regulatory mechanisms of nitrogen use efficiency during foxtail millet domestication under low-nitrogen stress

description: This Excel dataset includes 8 worksheets, comprehensively covering the experimental data involved in this study. The specific content is as follows:"Plant Physiological Phenotype Data Table": This table meticulously records the physiological characteristics and related indicators of foxtail millet genotypes at different domestication stages under nitrogen gradient treatments, including key parameters such as plant nitrogen use efficiency (NUE). This provides foundational data for studying plant nitrogen utilization efficiency and its regulatory mechanisms."Fungal OTU Table" and "Bacterial OTU Table": These tables display the operational taxonomic unit (OTU) information of fungi and bacteria for foxtail millet genotypes at different domestication stages under nitrogen addition treatments. These data are crucial for downstream analyses, such as principal coordinate analysis (PCoA), linear discriminant analysis effect size (LEfSe) plots, and microbial co-occurrence network diagrams, providing important support for revealing structural and functional differences in microbial communities."Microbial α-Diversity Table": Calculated using the "vegan" package in R, this table covers the diversity indices of microbial communities associated with foxtail millet at different domestication stages under low-nitrogen treatment, as well as the diversity changes in wild foxtail millet under low- and high-nitrogen treatments. It includes metrics such as richness and evenness, which are used for visualizing microbial α-diversity analysis to reveal the response patterns of microbial communities to nitrogen variation."Fungal Phylum-Level Relative Abundance Table" and "Bacterial Phylum-Level Relative Abundance Table": These tables summarize the relative abundance distribution of fungi and bacteria at the phylum level under various treatments, providing data support for constructing phylum-level relative abundance stacked bar charts. This helps understand the compositional features of microbial communities from a macro perspective."Fungal Genus-Level Relative Abundance Table" and "Bacterial Genus-Level Relative Abundance Table": Further refined to the genus level, these tables list the relative abundance data of fungi and bacteria at the genus level under various treatments, used for constructing genus-level relative abundance stacked bar charts. These data allow for a deeper analysis of microbial community structure composition and its relationship with environmental factors.Together, these worksheets form a systematic and comprehensive dataset aimed at exploring the effects of domestication on NUE-related plant traits and rhizosphere microbial communities of foxtail millet under soil low-nitrogen conditions, as well as their response patterns to environmental factors such as nitrogen level changes. This provides a scientific basis for promoting sustainable agricultural development.
description: This Excel dataset includes 8 worksheets, comprehensively covering the experimental data involved in this study. The specific content is as follows:"Plant Physiological Phenotype Data Table": This table meticulously records the physiological characteristics and related indicators of foxtail millet genotypes at different domestication stages under nitrogen gradient treatments, including key parameters such as plant nitrogen use efficiency (NUE). This provides foundational data for studying plant nitrogen utilization efficiency and its regulatory mechanisms."Fungal OTU Table" and "Bacterial OTU Table": These tables display the operational taxonomic unit (OTU) information of fungi and bacteria for foxtail millet genotypes at different domestication stages under nitrogen addition treatments. These data are crucial for downstream analyses, such as principal coordinate analysis (PCoA), linear discriminant analysis effect size (LEfSe) plots, and microbial co-occurrence network diagrams, providing important support for revealing structural and functional differences in microbial communities."Microbial α-Diversity Table": Calculated using the "vegan" package in R, this table covers the diversity indices of microbial communities associated with foxtail millet at different domestication stages under low-nitrogen treatment, as well as the diversity changes in wild foxtail millet under low- and high-nitrogen treatments. It includes metrics such as richness and evenness, which are used for visualizing microbial α-diversity analysis to reveal the response patterns of microbial communities to nitrogen variation."Fungal Phylum-Level Relative Abundance Table" and "Bacterial Phylum-Level Relative Abundance Table": These tables summarize the relative abundance distribution of fungi and bacteria at the phylum level under various treatments, providing data support for constructing phylum-level relative abundance stacked bar charts. This helps understand the compositional features of microbial communities from a macro perspective."Fungal Genus-Level Relative Abundance Table" and "Bacterial Genus-Level Relative Abundance Table": Further refined to the genus level, these tables list the relative abundance data of fungi and bacteria at the genus level under various treatments, used for constructing genus-level relative abundance stacked bar charts. These data allow for a deeper analysis of microbial community structure composition and its relationship with environmental factors.Together, these worksheets form a systematic and comprehensive dataset aimed at exploring the effects of domestication on NUE-related plant traits and rhizosphere microbial communities of foxtail millet under soil low-nitrogen conditions, as well as their response patterns to environmental factors such as nitrogen level changes. This provides a scientific basis for promoting sustainable agricultural development.