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Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

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The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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Metagenomic Analysis of Silage
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精確で定量的な比較メタゲノミクスへ

Stephen Nayfach1, Katherine S Pollard2

  • 1Integrative Program in Quantitative Biology, University of California, San Francisco, CA 94158, USA; Gladstone Institutes, San Francisco, CA 94158, USA.

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|August 28, 2016
PubMed
まとめ

ショットガンメタゲノミクスは 微生物コミュニティの正確な分析のために 比較可能なデータ要約を必要とします データの標準化と分析ツールの改善により 微生物群の研究の全力を発揮できます

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科学分野:

  • 微生物学
  • バイオ情報学
  • コンピュータ生物学

背景:

  • ショットガンメタゲノミクスと 計算分析は 微生物のコミュニティを比較する上で 鍵となるものです
  • ヒトの生物学と環境における微生物の役割を理解するには,研究における比較可能な定量的なデータ要約が必要です.
  • 現在のデータの比較性は,非標準的な豊富度統計と実験的なバイアスによって制限されています.

研究 の 目的:

  • 比較的なメタゲノミクスを妨げる課題を特定する.
  • 微生物群の研究におけるデータの比較性と統合を改善するための解決策を提案する.
  • 複製可能な微生物群の研究と 効果的な微生物群医療の未来を 想像する

主な方法:

  • 分類学および機能的プロファイルのためのショットガンメタゲノミクスを利用する.
  • 微生物コミュニティのデータに 計算分析を適用する
  • 実験プロトコルのバイアスとデータクリーニングのアプローチを特定する.

主要な成果:

  • 現時点の多様性統計では 微生物コミュニティの有意なパラメータを推定できません
  • 実験プロトコルとデータクリーニングは 重要なバイアスを導入します
  • 標準化の欠如は,クロス・スタディの比較を妨げています.

結論:

  • 研究設計,データアクセス,メタデータの標準化,分析ツールの課題に対処することは,正確な比較メタゲノミクスにとって極めて重要です.
  • 将来の微生物群の研究は,複製可能で,既存のデータと容易に統合されなければならない.
  • メタゲノミクスの予測モデル化,関連研究,医学における潜在力を理解するには,これらの改善が必要である.