Contrasting Composition, Diversity and Predictive Metabolic Potential of the Rhizobacterial Microbiomes Associated with Native and Invasive Prosopis Congeners
Invasive plants are known to alter the soil microbial communities; however, the effects of co-occurring native and invasive congeners on the soil bacterial diversity and their predictive metabolic profiles are not known. Here, we compared the rhizosphere bacterial communities of invasive Prosopis ju...
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description | Invasive plants are known to alter the soil microbial communities; however, the effects of co-occurring native and invasive congeners on the soil bacterial diversity and their predictive metabolic profiles are not known. Here, we compared the rhizosphere bacterial communities of invasive
Prosopis juliflora
and its native congener
Prosopis cineraria
using high-throughput sequencing of the 16S rRNA gene. Unweighted Pair Group Method with Arithmetic mean (UPGMA) based dendrogram revealed significant variation in the communities of these co-occurring
Prosopis
species. Additionally, Canonical Correspondence Analysis (CCA) based on microbial communities in addition to the soil physiochemical parameters viz. soil pH, electrical conductivity, moisture content and sampling depth showed ~ 80% of the variation in bacterial communities of the rhizosphere and control soil. We observed that Proteobacteria was the predominant phylum of
P. juliflora
rhizosphere and the control soil, while
P. cineraria
rhizosphere was dominated by
Cyanobacteria
. Notably, the invasive
P. juliflora
rhizosphere showed an enhanced abundance of bacterial phyla like
Actinobacteria
,
Chloroflexi, Firmicutes
and
Acidobacteria
compared to the native
P. cineraria
as well as the control soil. Predictive metagenomics revealed that the bacterial communities of the
P. juliflora
rhizosphere had a higher abundance of pathways involved in antimicrobial biosynthesis and degradation, suggesting probable exposure to enemy attack and an active response mechanism to counter it as compared to native
P. cineraria
. Interestingly, the higher antimicrobial biosynthesis predicted in the invasive rhizosphere microbiome is further corroborated by the fact that the bacterial isolates purified from the rhizosphere of
P. juliflora
belonged to genera like
Streptomyces, Isoptericola
and
Brevibacterium
from the phylum
Actinobacteria,
which are widely reported for their antibiotic production ability. In conclusion, our results demonstrate that the co-occurring native and invasive
Prosopis
species have significantly different rhizosphere bacterial communities in terms of composition, diversity and their predictive metabolic potentials. In addition, the rhizosphere microbiome of invasive
Prosopis
proffers it a fitness advantage and influences invasion success of the species. |
doi_str_mv | 10.1007/s00284-021-02473-1 |
format | Article |
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Prosopis juliflora
and its native congener
Prosopis cineraria
using high-throughput sequencing of the 16S rRNA gene. Unweighted Pair Group Method with Arithmetic mean (UPGMA) based dendrogram revealed significant variation in the communities of these co-occurring
Prosopis
species. Additionally, Canonical Correspondence Analysis (CCA) based on microbial communities in addition to the soil physiochemical parameters viz. soil pH, electrical conductivity, moisture content and sampling depth showed ~ 80% of the variation in bacterial communities of the rhizosphere and control soil. We observed that Proteobacteria was the predominant phylum of
P. juliflora
rhizosphere and the control soil, while
P. cineraria
rhizosphere was dominated by
Cyanobacteria
. Notably, the invasive
P. juliflora
rhizosphere showed an enhanced abundance of bacterial phyla like
Actinobacteria
,
Chloroflexi, Firmicutes
and
Acidobacteria
compared to the native
P. cineraria
as well as the control soil. Predictive metagenomics revealed that the bacterial communities of the
P. juliflora
rhizosphere had a higher abundance of pathways involved in antimicrobial biosynthesis and degradation, suggesting probable exposure to enemy attack and an active response mechanism to counter it as compared to native
P. cineraria
. Interestingly, the higher antimicrobial biosynthesis predicted in the invasive rhizosphere microbiome is further corroborated by the fact that the bacterial isolates purified from the rhizosphere of
P. juliflora
belonged to genera like
Streptomyces, Isoptericola
and
Brevibacterium
from the phylum
Actinobacteria,
which are widely reported for their antibiotic production ability. In conclusion, our results demonstrate that the co-occurring native and invasive
Prosopis
species have significantly different rhizosphere bacterial communities in terms of composition, diversity and their predictive metabolic potentials. In addition, the rhizosphere microbiome of invasive
Prosopis
proffers it a fitness advantage and influences invasion success of the species.</description><identifier>ISSN: 0343-8651</identifier><identifier>EISSN: 1432-0991</identifier><identifier>DOI: 10.1007/s00284-021-02473-1</identifier><identifier>PMID: 33837467</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Abundance ; Actinobacteria ; Antibiotics ; Antiinfectives and antibacterials ; Bacteria ; Biodegradation ; Biomedical and Life Sciences ; Biosynthesis ; Biotechnology ; Composition ; Congeners ; Cyanobacteria ; Electrical conductivity ; Electrical resistivity ; Indigenous species ; Invasive plants ; Invasive species ; Life Sciences ; Mathematical analysis ; Metabolism ; Metagenomics ; Microbial activity ; Microbiology ; Microbiomes ; Microbiota ; Microorganisms ; Moisture content ; Next-generation sequencing ; Physiochemistry ; Predictive control ; Prosopis ; Prosopis juliflora ; Rhizosphere ; RNA, Ribosomal, 16S - genetics ; rRNA 16S ; Soil ; Soil chemistry ; Soil Microbiology ; Soil microorganisms ; Soil moisture ; Soil pH ; Soils ; Water content</subject><ispartof>Current microbiology, 2021-05, Vol.78 (5), p.2051-2060</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-b6397d503ceff0e2ffc0d65fd511f0abd20f97ec8312102c96944a8d843d67193</citedby><cites>FETCH-LOGICAL-c375t-b6397d503ceff0e2ffc0d65fd511f0abd20f97ec8312102c96944a8d843d67193</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00284-021-02473-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00284-021-02473-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33837467$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kaushik, Rishabh</creatorcontrib><creatorcontrib>Pandit, Maharaj K.</creatorcontrib><creatorcontrib>Meyerson, Laura A.</creatorcontrib><creatorcontrib>Chaudhari, Diptaraj S.</creatorcontrib><creatorcontrib>Sharma, Meesha</creatorcontrib><creatorcontrib>Dhotre, Dhiraj</creatorcontrib><creatorcontrib>Shouche, Yogesh S.</creatorcontrib><title>Contrasting Composition, Diversity and Predictive Metabolic Potential of the Rhizobacterial Microbiomes Associated with Native and Invasive Prosopis Congeners</title><title>Current microbiology</title><addtitle>Curr Microbiol</addtitle><addtitle>Curr Microbiol</addtitle><description>Invasive plants are known to alter the soil microbial communities; however, the effects of co-occurring native and invasive congeners on the soil bacterial diversity and their predictive metabolic profiles are not known. Here, we compared the rhizosphere bacterial communities of invasive
Prosopis juliflora
and its native congener
Prosopis cineraria
using high-throughput sequencing of the 16S rRNA gene. Unweighted Pair Group Method with Arithmetic mean (UPGMA) based dendrogram revealed significant variation in the communities of these co-occurring
Prosopis
species. Additionally, Canonical Correspondence Analysis (CCA) based on microbial communities in addition to the soil physiochemical parameters viz. soil pH, electrical conductivity, moisture content and sampling depth showed ~ 80% of the variation in bacterial communities of the rhizosphere and control soil. We observed that Proteobacteria was the predominant phylum of
P. juliflora
rhizosphere and the control soil, while
P. cineraria
rhizosphere was dominated by
Cyanobacteria
. Notably, the invasive
P. juliflora
rhizosphere showed an enhanced abundance of bacterial phyla like
Actinobacteria
,
Chloroflexi, Firmicutes
and
Acidobacteria
compared to the native
P. cineraria
as well as the control soil. Predictive metagenomics revealed that the bacterial communities of the
P. juliflora
rhizosphere had a higher abundance of pathways involved in antimicrobial biosynthesis and degradation, suggesting probable exposure to enemy attack and an active response mechanism to counter it as compared to native
P. cineraria
. Interestingly, the higher antimicrobial biosynthesis predicted in the invasive rhizosphere microbiome is further corroborated by the fact that the bacterial isolates purified from the rhizosphere of
P. juliflora
belonged to genera like
Streptomyces, Isoptericola
and
Brevibacterium
from the phylum
Actinobacteria,
which are widely reported for their antibiotic production ability. In conclusion, our results demonstrate that the co-occurring native and invasive
Prosopis
species have significantly different rhizosphere bacterial communities in terms of composition, diversity and their predictive metabolic potentials. In addition, the rhizosphere microbiome of invasive
Prosopis
proffers it a fitness advantage and influences invasion success of the species.</description><subject>Abundance</subject><subject>Actinobacteria</subject><subject>Antibiotics</subject><subject>Antiinfectives and antibacterials</subject><subject>Bacteria</subject><subject>Biodegradation</subject><subject>Biomedical and Life Sciences</subject><subject>Biosynthesis</subject><subject>Biotechnology</subject><subject>Composition</subject><subject>Congeners</subject><subject>Cyanobacteria</subject><subject>Electrical conductivity</subject><subject>Electrical resistivity</subject><subject>Indigenous species</subject><subject>Invasive plants</subject><subject>Invasive species</subject><subject>Life Sciences</subject><subject>Mathematical analysis</subject><subject>Metabolism</subject><subject>Metagenomics</subject><subject>Microbial activity</subject><subject>Microbiology</subject><subject>Microbiomes</subject><subject>Microbiota</subject><subject>Microorganisms</subject><subject>Moisture content</subject><subject>Next-generation sequencing</subject><subject>Physiochemistry</subject><subject>Predictive control</subject><subject>Prosopis</subject><subject>Prosopis juliflora</subject><subject>Rhizosphere</subject><subject>RNA, Ribosomal, 16S - genetics</subject><subject>rRNA 16S</subject><subject>Soil</subject><subject>Soil chemistry</subject><subject>Soil Microbiology</subject><subject>Soil microorganisms</subject><subject>Soil moisture</subject><subject>Soil pH</subject><subject>Soils</subject><subject>Water content</subject><issn>0343-8651</issn><issn>1432-0991</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kctuFDEQRS0EIkPgB1ggS2xY0FB-dLu9jIZXpARGCNYttx8ZR932YHuCwsfkW-POBJBYsLCsqjp1q1QXoecE3hAA8TYD0J43QEl9XLCGPEArwhltQEryEK2Acdb0XUuO0JOcLwEIlUAeoyPGeiZ4J1boZh1DSSoXHy7wOs67mH3xMbzG7_yVTTW4xioYvEnWeF1qDp_bosY4eY03sdhQvJpwdLhsLf669b_iqHSxacmee53i6ONsMz7JOWqvijX4py9b_FndiS3ap-FK5SXYpJjjzue6SLiwoY5_ih45NWX77P4_Rt8_vP-2_tScffl4uj45azQTbWnGjklhWmDaOgeWOqfBdK0zLSEO1GgoOCms7hmhBKiWneRc9abnzHSCSHaMXh10dyn-2NtchtlnbadJBRv3eaBViHIGXVfRl_-gl3GfQt1uoWTbCdn3laIHql4g52TdsEt-Vul6IDAs7g0H94bq3nDn3kBq04t76f04W_On5bddFWAHINdSPVH6O_s_srcskqf-</recordid><startdate>20210501</startdate><enddate>20210501</enddate><creator>Kaushik, Rishabh</creator><creator>Pandit, Maharaj K.</creator><creator>Meyerson, Laura A.</creator><creator>Chaudhari, Diptaraj S.</creator><creator>Sharma, Meesha</creator><creator>Dhotre, Dhiraj</creator><creator>Shouche, Yogesh S.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7T7</scope><scope>7TK</scope><scope>7TM</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>M7P</scope><scope>MBDVC</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20210501</creationdate><title>Contrasting Composition, Diversity and Predictive Metabolic Potential of the Rhizobacterial Microbiomes Associated with Native and Invasive Prosopis Congeners</title><author>Kaushik, Rishabh ; Pandit, Maharaj K. ; Meyerson, Laura A. ; Chaudhari, Diptaraj S. ; Sharma, Meesha ; Dhotre, Dhiraj ; Shouche, Yogesh S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-b6397d503ceff0e2ffc0d65fd511f0abd20f97ec8312102c96944a8d843d67193</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Abundance</topic><topic>Actinobacteria</topic><topic>Antibiotics</topic><topic>Antiinfectives and antibacterials</topic><topic>Bacteria</topic><topic>Biodegradation</topic><topic>Biomedical and Life Sciences</topic><topic>Biosynthesis</topic><topic>Biotechnology</topic><topic>Composition</topic><topic>Congeners</topic><topic>Cyanobacteria</topic><topic>Electrical conductivity</topic><topic>Electrical resistivity</topic><topic>Indigenous species</topic><topic>Invasive plants</topic><topic>Invasive species</topic><topic>Life Sciences</topic><topic>Mathematical analysis</topic><topic>Metabolism</topic><topic>Metagenomics</topic><topic>Microbial activity</topic><topic>Microbiology</topic><topic>Microbiomes</topic><topic>Microbiota</topic><topic>Microorganisms</topic><topic>Moisture content</topic><topic>Next-generation sequencing</topic><topic>Physiochemistry</topic><topic>Predictive control</topic><topic>Prosopis</topic><topic>Prosopis juliflora</topic><topic>Rhizosphere</topic><topic>RNA, Ribosomal, 16S - genetics</topic><topic>rRNA 16S</topic><topic>Soil</topic><topic>Soil chemistry</topic><topic>Soil Microbiology</topic><topic>Soil microorganisms</topic><topic>Soil moisture</topic><topic>Soil pH</topic><topic>Soils</topic><topic>Water content</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kaushik, Rishabh</creatorcontrib><creatorcontrib>Pandit, Maharaj K.</creatorcontrib><creatorcontrib>Meyerson, Laura A.</creatorcontrib><creatorcontrib>Chaudhari, Diptaraj S.</creatorcontrib><creatorcontrib>Sharma, Meesha</creatorcontrib><creatorcontrib>Dhotre, Dhiraj</creatorcontrib><creatorcontrib>Shouche, Yogesh S.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Current microbiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kaushik, Rishabh</au><au>Pandit, Maharaj K.</au><au>Meyerson, Laura A.</au><au>Chaudhari, Diptaraj S.</au><au>Sharma, Meesha</au><au>Dhotre, Dhiraj</au><au>Shouche, Yogesh S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Contrasting Composition, Diversity and Predictive Metabolic Potential of the Rhizobacterial Microbiomes Associated with Native and Invasive Prosopis Congeners</atitle><jtitle>Current microbiology</jtitle><stitle>Curr Microbiol</stitle><addtitle>Curr Microbiol</addtitle><date>2021-05-01</date><risdate>2021</risdate><volume>78</volume><issue>5</issue><spage>2051</spage><epage>2060</epage><pages>2051-2060</pages><issn>0343-8651</issn><eissn>1432-0991</eissn><abstract>Invasive plants are known to alter the soil microbial communities; however, the effects of co-occurring native and invasive congeners on the soil bacterial diversity and their predictive metabolic profiles are not known. Here, we compared the rhizosphere bacterial communities of invasive
Prosopis juliflora
and its native congener
Prosopis cineraria
using high-throughput sequencing of the 16S rRNA gene. Unweighted Pair Group Method with Arithmetic mean (UPGMA) based dendrogram revealed significant variation in the communities of these co-occurring
Prosopis
species. Additionally, Canonical Correspondence Analysis (CCA) based on microbial communities in addition to the soil physiochemical parameters viz. soil pH, electrical conductivity, moisture content and sampling depth showed ~ 80% of the variation in bacterial communities of the rhizosphere and control soil. We observed that Proteobacteria was the predominant phylum of
P. juliflora
rhizosphere and the control soil, while
P. cineraria
rhizosphere was dominated by
Cyanobacteria
. Notably, the invasive
P. juliflora
rhizosphere showed an enhanced abundance of bacterial phyla like
Actinobacteria
,
Chloroflexi, Firmicutes
and
Acidobacteria
compared to the native
P. cineraria
as well as the control soil. Predictive metagenomics revealed that the bacterial communities of the
P. juliflora
rhizosphere had a higher abundance of pathways involved in antimicrobial biosynthesis and degradation, suggesting probable exposure to enemy attack and an active response mechanism to counter it as compared to native
P. cineraria
. Interestingly, the higher antimicrobial biosynthesis predicted in the invasive rhizosphere microbiome is further corroborated by the fact that the bacterial isolates purified from the rhizosphere of
P. juliflora
belonged to genera like
Streptomyces, Isoptericola
and
Brevibacterium
from the phylum
Actinobacteria,
which are widely reported for their antibiotic production ability. In conclusion, our results demonstrate that the co-occurring native and invasive
Prosopis
species have significantly different rhizosphere bacterial communities in terms of composition, diversity and their predictive metabolic potentials. In addition, the rhizosphere microbiome of invasive
Prosopis
proffers it a fitness advantage and influences invasion success of the species.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>33837467</pmid><doi>10.1007/s00284-021-02473-1</doi><tpages>10</tpages></addata></record> |
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subjects | Abundance Actinobacteria Antibiotics Antiinfectives and antibacterials Bacteria Biodegradation Biomedical and Life Sciences Biosynthesis Biotechnology Composition Congeners Cyanobacteria Electrical conductivity Electrical resistivity Indigenous species Invasive plants Invasive species Life Sciences Mathematical analysis Metabolism Metagenomics Microbial activity Microbiology Microbiomes Microbiota Microorganisms Moisture content Next-generation sequencing Physiochemistry Predictive control Prosopis Prosopis juliflora Rhizosphere RNA, Ribosomal, 16S - genetics rRNA 16S Soil Soil chemistry Soil Microbiology Soil microorganisms Soil moisture Soil pH Soils Water content |
title | Contrasting Composition, Diversity and Predictive Metabolic Potential of the Rhizobacterial Microbiomes Associated with Native and Invasive Prosopis Congeners |
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