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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
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Marine Microbial Ecology

Marine microbial ecosystems are shaped by distinct physicochemical limits, including high salinity, low nutrient availability, and fluctuating oxygen levels. These conditions favor smaller microbial cell sizes, which maximize their surface-to-volume ratio for efficient nutrient uptake.Microbial activity and community composition are closely linked to biogeochemical cycles, particularly in dynamic environments like estuaries, where halotolerant microbes thrive in response to variable salinity...
Deep Sea Microbial Ecology01:18

Deep Sea Microbial Ecology

The deep ocean and its underlying sediments represent vast, largely unexplored microbial habitats that extend far beyond the sunlit photic zone. The photic (euphotic) zone typically spans the upper ~100–200 meters of pelagic waters in the open ocean, but its depth varies geographically and seasonally, where sufficient light supports photosynthetic life. Below this lies the deep sea, spanning roughly 1000–6000 meters (bathypelagic to abyssal zones), with deeper hadal trenches extending beyond...
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Freshwater Microbial Ecology

Freshwater systems such as streams, rivers, and lakes exhibit distinct physical and biological characteristics that influence their microbial communities. These environments are broadly categorized into lotic systems—those with flowing waters like streams and most rivers—and lentic systems, which include still or slow-moving waters such as lakes, ponds, and marshes.In lentic systems, phytoplankton drive primary production, generating autochthonous organic carbon. In contrast, lotic systems...

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Standardizing a Non-Lethal Method for Characterizing the Reproductive Status and Larval Development of Freshwater Mussels Bivalvia: Unionida
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A Long-Term Ecological Research Data Set From the Marine Genetic Monitoring Program ARMS-MBON 2018-2020.

Nauras Daraghmeh1,2, Katrina Exter3, Justine Pagnier1,2,4

  • 1Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden.

Molecular Ecology Resources
|January 31, 2025
PubMed
Summary
This summary is machine-generated.

Autonomous reef monitoring structures (ARMS) combined with DNA metabarcoding effectively document marine biodiversity. This approach captures thousands of species, including threatened and non-indigenous ones, aiding ecological research and monitoring efforts.

Keywords:
18S rRNACOIEssential biodiversity variablesEuropean marine omics biodiversity observation networkITSgenetic monitoringinvasive species

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Area of Science:

  • Marine ecology
  • Molecular ecology
  • Biodiversity monitoring

Background:

  • Molecular methods like DNA metabarcoding are crucial for assessing biodiversity across large scales.
  • Standardized sampling is needed for robust marine biodiversity assessments.

Purpose of the Study:

  • To establish an international network (ARMS-MBON) for genetic monitoring of marine benthic communities.
  • To present data from the first ARMS-MBON sampling campaign and showcase its potential.

Main Methods:

  • Deployment of 56 autonomous reef monitoring structures (ARMS) across 15 European observatories.
  • DNA metabarcoding using COI and 18S rRNA marker genes for genetic analysis.
  • Data compilation of images, genetic sequences, and metadata.

Main Results:

  • ARMS-MBON recovered over 60 eukaryotic phyla, identifying thousands of amplicon sequence variants and operational taxonomic units.
  • Detected up to ~250 species per observatory using COI and ~50 using 18S rRNA.
  • Identified threatened, vulnerable, and non-indigenous species, with diversity estimates influenced by sampling effort and sequencing depth, not deployment duration.

Conclusions:

  • ARMS combined with metabarcoding is a powerful tool for marine biodiversity documentation and ecological research.
  • Recommends ARMS deployment for 3-6 months during the growth season and post-sequencing curation for efficient, comparable data.
  • Suggests ARMS adoption for biological monitoring programs and long-term ecological research.