Related Experiment Video
Updated: Feb 15, 2026

Author Spotlight: Innovative Approaches to Understanding Plant Structure-Function Relationships for Climate-Resilient Crops
Published on: July 12, 2024
Comparison of Microbial Communities Associated with Halophyte (Salsola stocksii) and Non-Halophyte (Triticum
Salma Mukhtar1, Ayesha Ishaq1, Sara Hassan1
1Department of Biological Sciences, Forman Christian College (A Chartered University), Lahore, Pakistan.
Abstract:
Halophyte microbiome contributes significantly to plant performance and can provide information regarding complex ecological processes involved in osmoregulation of these plants. The objective of this study is to investigate the microbiomes associated with belowground (rhizosphere), internal (endosphere) and aboveground (phyllosphere) tissues of halophyte (Salsola stocksii) through metagenomics approach. Plant samples were collected from Khewra Salt Mines. The metagenomic DNA from soil, root and shoot samples was isolated with the help of FastDNA spin kit. Through PCR, the 16S rRNA gene from four different Salsola plants and wheat plants was amplified and cloned in InsTAclone PCR cloning kit. Metagenomic analyses from rhizosphere, endosphere and phyllosphere of Salsola showed that approximately 29% bacteria were uncultured and unclassified. Proteobacteria and Actinobacteria were the most abundant phyla in Salsola and wheat. However, Firmicutes, Acidobacteria, Bacteriodetes, Planctomycetes, Cyanobacteria, Thermotogae, Verrucomicrobia, Choroflexi and Euryarchaeota were predominant groups from halophyte whereas Actinobacteria, Proteobacteria, Firmicutes, Cyanobacteria, Acidobacteria, Bacteriodetes, Planctomycetes and Verrucomicrobia were predominant phyla of wheat samples. Diversity and differences of microbial flora of Salsola and wheat suggested that functional interactions between plants and microorganisms contribute to salt stress tolerance.
Related Concept Videos
Gene Regulation in Microbial Communities: Quorum Sensing
What are Populations and Communities?
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
Introduction to Test of Independence
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
Hypothesis Test for Test of Independence
H0: The two variables (factors)...

