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基于宏基因组和宏转录组证据推断新型属类在浮游植物衍生碳和钴胺素吸收方面的作用。

Uptake of Phytoplankton-Derived Carbon and Cobalamins by Novel Genera in Blooms Inferred from Metagenomic and Metatranscriptomic Evidence.

机构信息

Department of Earth & Environmental Science, University of Michigan, Ann Arbor, Michigan, USA.

Department of Medicinal Chemistry, University of Michigan, Ann Arbor, Michigan, USA.

出版信息

Appl Environ Microbiol. 2022 Jul 26;88(14):e0180321. doi: 10.1128/aem.01803-21. Epub 2022 Jul 5.


DOI:10.1128/aem.01803-21
PMID:35862730
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9317899/
Abstract

Interactions between bacteria and phytoplankton can influence primary production, community composition, and algal bloom development. However, these interactions are poorly described for many consortia, particularly for freshwater bloom-forming cyanobacteria. Here, we assessed the gene content and expression of two uncultivated from Lake Erie blooms. These organisms were targeted because they were previously identified as important catalase producers in blooms, suggesting that they protect from HO. Metatranscriptomics revealed that both transcribed genes for uptake of organic compounds that are known cyanobacterial products and exudates, including lactate, glycolate, amino acids, peptides, and cobalamins. Expressed genes for amino acid metabolism and peptide transport and degradation suggest that use of amino acids and peptides by may regenerate nitrogen for cyanobacteria and other organisms. The genomes lacked genes for biosynthesis of cobalamins but expressed genes for its transport and remodeling. This indicates that the obtained cobalamins externally, potentially from , which has a complete gene repertoire for pseudocobalamin biosynthesis; expressed them in field samples; and produced pseudocobalamin in axenic culture. Both were detected in blooms worldwide. Together, the data support the hypotheses that uncultured and previously unidentified taxa exchange metabolites with phytoplankton during harmful cyanobacterial blooms and influence nitrogen available to phytoplankton. Thus, novel may play a role in cyanobacterial physiology and bloom development. Interactions between heterotrophic bacteria and phytoplankton influence competition and successions between phytoplankton taxa, thereby influencing ecosystem-wide processes such as carbon cycling and algal bloom development. The cyanobacterium forms harmful blooms in freshwaters worldwide and grows in buoyant colonies that harbor other bacteria in their phycospheres. Bacteria in the phycosphere and in the surrounding community likely influence physiology and ecology and thus the development of freshwater harmful cyanobacterial blooms. However, the impacts and mechanisms of interaction between bacteria and are not fully understood. This study explores the mechanisms of interaction between and uncultured members of its phycosphere with population genome resolution to investigate the cooccurrence of and freshwater in blooms worldwide.

摘要

细菌和浮游植物之间的相互作用会影响初级生产力、群落组成和藻类水华的发展。然而,对于许多共生体,特别是对于形成淡水水华的蓝藻,这些相互作用描述得很差。在这里,我们评估了来自伊利湖水华的两个未培养的的基因内容和表达。选择这些生物是因为它们之前被鉴定为水华中产过氧化氢酶的重要生产者,这表明它们保护蓝藻免受 HO 的侵害。宏转录组学显示,这两种都转录了有机化合物的摄取基因,这些有机化合物是已知的蓝藻产物和外泌体,包括乳酸盐、乙醇酸盐、氨基酸、肽和钴胺素。氨基酸代谢和肽转运和降解的表达基因表明,蓝藻和其他生物可能利用氨基酸和肽来再生氮。的基因组缺乏钴胺素生物合成的基因,但表达了钴胺素的转运和重塑基因。这表明,从可能获得外源性钴胺素,该具有完整的假钴胺素生物合成基因谱;在野外样本中表达它们;并在无菌培养中产生假钴胺素。这两种都在世界各地的蓝藻水华中被检测到。总的来说,这些数据支持以下假设:在有害蓝藻水华期间,未培养的和以前未识别的与浮游植物交换代谢物,并影响浮游植物可用的氮。因此,新型可能在蓝藻生理学和水华发展中发挥作用。异养细菌和浮游植物之间的相互作用影响浮游植物类群之间的竞争和演替,从而影响碳循环和藻类水华发展等生态系统范围的过程。蓝藻在世界各地的淡水中形成有害水华,并以浮性菌落的形式生长,其在其藻球体内含有其他细菌。藻球体内和周围群落中的细菌可能会影响蓝藻的生理学和生态学,从而影响淡水有害蓝藻水华的发展。然而,细菌和蓝藻之间相互作用的影响和机制尚不完全清楚。本研究以种群基因组分辨率探索了蓝藻及其藻球体内未培养成员之间相互作用的机制,以调查蓝藻和淡水蓝藻在世界各地水华中的共同出现。

相似文献

[1]
Uptake of Phytoplankton-Derived Carbon and Cobalamins by Novel Genera in Blooms Inferred from Metagenomic and Metatranscriptomic Evidence.

Appl Environ Microbiol. 2022-7-26

[2]
Heterotrophic Bacteria Dominate Catalase Expression during Blooms.

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[3]
The facilitating role of phycospheric heterotrophic bacteria in cyanobacterial phosphonate availability and Microcystis bloom maintenance.

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[4]
Metagenomic and Metatranscriptomic Insights into Population Diversity of Blooms: Spatial and Temporal Dynamics of Genotypes, Including a Partial Operon That Can Be Abundant and Expressed.

Appl Environ Microbiol. 2022-5-10

[5]
Expression of Biosynthetic Gene Clusters in Natural Populations Suggests Temporally Dynamic Synthesis of Novel and Known Secondary Metabolites in Western Lake Erie.

Appl Environ Microbiol. 2023-5-31

[6]
Individual Microcystis colonies harbour distinct bacterial communities that differ by Microcystis oligotype and with time.

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[7]
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[8]
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[9]
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[10]
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[2]
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[3]
Ubiquitous genome streamlined in freshwater environments.

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[4]
Microbial diversity, genomics, and phage-host interactions of cyanobacterial harmful algal blooms.

mSystems. 2024-7-23

[5]
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mLife. 2023-12-18

[6]
Microbiome processing of organic nitrogen input supports growth and cyanotoxin production of Microcystis aeruginosa cultures.

ISME J. 2024-1-8

[7]
Biological and Chemical Approaches for Controlling Harmful Microcystis Blooms.

J Microbiol. 2024-3

[8]
Multi-environment ecogenomics analysis of the cosmopolitan phylum Gemmatimonadota.

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本文引用的文献

[1]
Heterotrophic Bacteria Dominate Catalase Expression during Blooms.

Appl Environ Microbiol. 2022-7-26

[2]
Assessing the importance of cobalt as a micronutrient for freshwater cyanobacteria.

J Phycol. 2022-2

[3]
Comparative analysis of Microcystis buoyancy in western Lake Erie and Saginaw Bay of Lake Huron.

Harmful Algae. 2021-8

[4]
Single-colony sequencing reveals microbe-by-microbiome phylosymbiosis between the cyanobacterium Microcystis and its associated bacteria.

Microbiome. 2021-9-27

[5]
Coordinated Diel Gene Expression of Cyanobacteria and Their Microbiome.

Microorganisms. 2021-8-5

[6]
The genetic and ecophysiological diversity of Microcystis.

Environ Microbiol. 2021-12

[7]
Individual Microcystis colonies harbour distinct bacterial communities that differ by Microcystis oligotype and with time.

Environ Microbiol. 2021-6

[8]
A genomic view of the microbiome of coral reef demosponges.

ISME J. 2021-6

[9]
Genotype and host microbiome alter competitive interactions between Microcystis aeruginosa and Chlorella sorokiniana.

Harmful Algae. 2020-11

[10]
Resource partitioning of phytoplankton metabolites that support bacterial heterotrophy.

ISME J. 2021-3

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