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Main Authors: Balasubramaniyan, Monisha, Veeran, Yoganandan
Format: Artículo científico
Language:en
Published: Biochemical genetics 2026
Subjects:
Online Access:https://pubmed.ncbi.nlm.nih.gov/40665121/
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author Balasubramaniyan, Monisha
Veeran, Yoganandan
author_facet Balasubramaniyan, Monisha
Veeran, Yoganandan
Balasubramaniyan, Monisha
Veeran, Yoganandan
collection PubMed - marine biology
contents Unravelling Evolutionary and Ecological Insights of Foraminifera by Using Next Generation Sequencing: A Review. Balasubramaniyan, Monisha Veeran, Yoganandan Foraminifera High-Throughput Nucleotide Sequencing Phylogeny Ecosystem Biological Evolution Evolution, Molecular Genomics Next-generation sequencing (NGS) has transformed our understanding of foraminifera biology by revealing cryptic diversity, clarifying phylogenetic relationships, and elucidating adaptive mechanisms previously inaccessible through morphological studies alone. This review delves into the potential of NGS in uncovering the secrets of foraminifera. We examine the current state of knowledge, recent breakthroughs, and future directions in applying NGS to foraminiferal research. Specifically, this study highlights how NGS enhances our understanding of foraminiferal taxonomy, adaptation to environmental changes, and functional genomics. Additionally, this review explores the potential of NGS to elucidate the genetic basis of foraminiferal shell formation, symbiotic relationships, and their responses to environmental stressors. We also address challenges and limitations associated with foraminiferal NGS, such as genome assembly complexities, intra-species heterogeneity, and sampling biases. Overall, this review aims to promote further research and collaboration in foraminiferal genomics, ultimately enhancing knowledge of these ecologically significant organisms and their contributions to marine ecosystems and paleoenvironments.
format Artículo científico
id pubmed_40665121
institution PubMed
language en
publishDate 2026
publisher Biochemical genetics
record_format pubmed
spellingShingle Unravelling Evolutionary and Ecological Insights of Foraminifera by Using Next Generation Sequencing: A Review.
Balasubramaniyan, Monisha
Veeran, Yoganandan
Foraminifera
High-Throughput Nucleotide Sequencing
Phylogeny
Ecosystem
Biological Evolution
Evolution, Molecular
Genomics
Unravelling Evolutionary and Ecological Insights of Foraminifera by Using Next Generation Sequencing: A Review. Balasubramaniyan, Monisha Veeran, Yoganandan Foraminifera High-Throughput Nucleotide Sequencing Phylogeny Ecosystem Biological Evolution Evolution, Molecular Genomics Next-generation sequencing (NGS) has transformed our understanding of foraminifera biology by revealing cryptic diversity, clarifying phylogenetic relationships, and elucidating adaptive mechanisms previously inaccessible through morphological studies alone. This review delves into the potential of NGS in uncovering the secrets of foraminifera. We examine the current state of knowledge, recent breakthroughs, and future directions in applying NGS to foraminiferal research. Specifically, this study highlights how NGS enhances our understanding of foraminiferal taxonomy, adaptation to environmental changes, and functional genomics. Additionally, this review explores the potential of NGS to elucidate the genetic basis of foraminiferal shell formation, symbiotic relationships, and their responses to environmental stressors. We also address challenges and limitations associated with foraminiferal NGS, such as genome assembly complexities, intra-species heterogeneity, and sampling biases. Overall, this review aims to promote further research and collaboration in foraminiferal genomics, ultimately enhancing knowledge of these ecologically significant organisms and their contributions to marine ecosystems and paleoenvironments.
title Unravelling Evolutionary and Ecological Insights of Foraminifera by Using Next Generation Sequencing: A Review.
topic Foraminifera
High-Throughput Nucleotide Sequencing
Phylogeny
Ecosystem
Biological Evolution
Evolution, Molecular
Genomics
url https://pubmed.ncbi.nlm.nih.gov/40665121/