Unravelling Evolutionary and Ecological Insights of Foraminifera by Using Next Generation Sequencing: A Review.

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Monisha Balasubramaniyan, Yoganandan Veeran
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引用次数: 0

Abstract

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.

利用下一代测序揭示有孔虫的进化和生态学见解:综述。
新一代测序(NGS)通过揭示有孔虫的隐性多样性、澄清系统发育关系和阐明以前仅通过形态学研究无法获得的适应机制,改变了我们对有孔虫生物学的理解。本文综述了NGS在揭示有孔虫秘密方面的潜力。我们研究了将NGS应用于有孔虫研究的现状、最新突破和未来方向。具体来说,本研究强调了NGS如何增强我们对有孔虫分类、环境变化适应和功能基因组学的理解。此外,本文还探讨了NGS在阐明有孔虫壳形成的遗传基础、共生关系及其对环境胁迫的反应方面的潜力。我们还讨论了与有孔虫NGS相关的挑战和局限性,如基因组组装复杂性、种内异质性和抽样偏差。总之,本文旨在促进有孔虫基因组学的进一步研究和合作,最终提高对这些具有重要生态意义的生物及其对海洋生态系统和古环境的贡献的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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