The Underlying Ecological Processes of Gut Microbiota Among Cohabitating Retarded, Overgrown and Normal Shrimp
Increasing evidence of tight links among the gut microbiota, obesity, and host health has emerged, but knowledge of the ecological processes that shape the variation in microbial assemblages across growth rates remains elusive. Moreover, inadequately control for differences in factors that profoundl...
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Published in | Microbial ecology Vol. 73; no. 4; pp. 988 - 999 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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Springer Science + Business Media
01.05.2017
Springer US Springer Nature B.V |
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Abstract | Increasing evidence of tight links among the gut microbiota, obesity, and host health has emerged, but knowledge of the ecological processes that shape the variation in microbial assemblages across growth rates remains elusive. Moreover, inadequately control for differences in factors that profoundly affect the gut microbial community, hampers evaluation of the gut microbiota roles in regulating growth rates. To address this gap, we evaluated the composition and ecological processes of the gut bacterial community in cohabitating retarded, overgrown, and normal shrimps from identically managed ponds. Gut bacterial community structures were distinct (P = 0.0006) among the shrimp categories. Using a structural equation modeling (SEM), we found that changes in the gut bacterial community were positively related to digestive activities, which subsequently affected shrimp growth rate. This association was further supported by intensified interspecies interaction and enriched lineages with high nutrient intake efficiencies in overgrown shrimps. However, the less phylogenetic clustering of gut microbiota in overgrown and retarded subjects may offer empty niches for pathogens invasion, as evidenced by higher abundances of predicted functional pathways involved in disease infection. Given no differences in biotic and abiotic factors among the cohabitating shrimps, we speculated that the distinct gut community assembly could be attributed to random colonization in larval shrimp (e.g., priority effects) and that an altered microbiota could be a causative factor in overgrowth or retardation in shrimp. To our knowledge, this is the first study to provide an integrated overview of the direct roles of gut microbiota in shaping shrimp growth rate and the underlying ecological mechanisms. |
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AbstractList | Increasing evidence of tight links among the gut microbiota, obesity, and host health has emerged, but knowledge of the ecological processes that shape the variation in microbial assemblages across growth rates remains elusive. Moreover, inadequately control for differences in factors that profoundly affect the gut microbial community, hampers evaluation of the gut microbiota roles in regulating growth rates. To address this gap, we evaluated the composition and ecological processes of the gut bacterial community in cohabitating retarded, overgrown, and normal shrimps from identically managed ponds. Gut bacterial community structures were distinct (P = 0.0006) among the shrimp categories. Using a structural equation modeling (SEM), we found that changes in the gut bacterial community were positively related to digestive activities, which subsequently affected shrimp growth rate. This association was further supported by intensified interspecies interaction and enriched lineages with high nutrient intake efficiencies in overgrown shrimps. However, the less phylogenetic clustering of gut microbiota in overgrown and retarded subjects may offer empty niches for pathogens invasion, as evidenced by higher abundances of predicted functional pathways involved in disease infection. Given no differences in biotic and abiotic factors among the cohabitating shrimps, we speculated that the distinct gut community assembly could be attributed to random colonization in larval shrimp (e.g., priority effects) and that an altered microbiota could be a causative factor in overgrowth or retardation in shrimp. To our knowledge, this is the first study to provide an integrated overview of the direct roles of gut microbiota in shaping shrimp growth rate and the underlying ecological mechanisms. Increasing evidence of tight links among the gut microbiota, obesity, and host health has emerged, but knowledge of the ecological processes that shape the variation in microbial assemblages across growth rates remains elusive. Moreover, inadequately control for differences in factors that profoundly affect the gut microbial community, hampers evaluation of the gut microbiota roles in regulating growth rates. To address this gap, we evaluated the composition and ecological processes of the gut bacterial community in cohabitating retarded, overgrown, and normal shrimps from identically managed ponds. Gut bacterial community structures were distinct (P = 0.0006) among the shrimp categories. Using a structural equation modeling (SEM), we found that changes in the gut bacterial community were positively related to digestive activities, which subsequently affected shrimp growth rate. This association was further supported by intensified interspecies interaction and enriched lineages with high nutrient intake efficiencies in overgrown shrimps. However, the less phylogenetic clustering of gut microbiota in overgrown and retarded subjects may offer empty niches for pathogens invasion, as evidenced by higher abundances of predicted functional pathways involved in disease infection. Given no differences in biotic and abiotic factors among the cohabitating shrimps, we speculated that the distinct gut community assembly could be attributed to random colonization in larval shrimp (e.g., priority effects) and that an altered microbiota could be a causative factor in overgrowth or retardation in shrimp. To our knowledge, this is the first study to provide an integrated overview of the direct roles of gut microbiota in shaping shrimp growth rate and the underlying ecological mechanisms. Increasing evidence of tight links among the gut microbiota, obesity, and host health has emerged, but knowledge of the ecological processes that shape the variation in microbial assemblages across growth rates remains elusive. Moreover, inadequately control for differences in factors that profoundly affect the gut microbial community, hampers evaluation of the gut microbiota roles in regulating growth rates. To address this gap, we evaluated the composition and ecological processes of the gut bacterial community in cohabitating retarded, overgrown, and normal shrimps from identically managed ponds. Gut bacterial community structures were distinct ( P = 0.0006) among the shrimp categories. Using a structural equation modeling (SEM), we found that changes in the gut bacterial community were positively related to digestive activities, which subsequently affected shrimp growth rate. This association was further supported by intensified interspecies interaction and enriched lineages with high nutrient intake efficiencies in overgrown shrimps. However, the less phylogenetic clustering of gut microbiota in overgrown and retarded subjects may offer empty niches for pathogens invasion, as evidenced by higher abundances of predicted functional pathways involved in disease infection. Given no differences in biotic and abiotic factors among the cohabitating shrimps, we speculated that the distinct gut community assembly could be attributed to random colonization in larval shrimp (e.g., priority effects) and that an altered microbiota could be a causative factor in overgrowth or retardation in shrimp. To our knowledge, this is the first study to provide an integrated overview of the direct roles of gut microbiota in shaping shrimp growth rate and the underlying ecological mechanisms. |
Author | Dai, Wenfang Xiong, Jinbo Qiu, Qiongfen Zhu, Jinyong Dong, Chunming Liu, Keshao |
Author_xml | – sequence: 1 givenname: Jinbo surname: Xiong fullname: Xiong, Jinbo – sequence: 2 givenname: Wenfang surname: Dai fullname: Dai, Wenfang – sequence: 3 givenname: Jinyong surname: Zhu fullname: Zhu, Jinyong – sequence: 4 givenname: Keshao surname: Liu fullname: Liu, Keshao – sequence: 5 givenname: Chunming surname: Dong fullname: Dong, Chunming – sequence: 6 givenname: Qiongfen surname: Qiu fullname: Qiu, Qiongfen |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27966036$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1101/gr.1239303 10.1073/pnas.0601602103 10.1111/j.1365-2109.2011.02952.x 10.1128/AEM.03006-05 10.3389/fmicb.2016.00455 10.1146/annurev.ecolsys.33.010802.150448 10.1371/journal.pone.0061608 10.1007/s00253-015-6632-z 10.1038/srep15274 10.1093/nar/gkl244 10.1111/j.1442-9993.1993.tb00438.x 10.1016/j.tim.2015.07.013 10.1137/S003614450342480 10.1111/1758-2229.12248 10.1038/nbt.2676 10.1134/S0026261716010112 10.1111/1462-2920.13006 10.1111/j.1365-294X.2012.05552.x 10.1016/j.fsi.2016.10.041 10.5194/bg-13-5739-2016 10.1038/ismej.2011.41 10.1111/j.1461-0248.2010.01509.x 10.1371/journal.pone.0028438 10.1371/journal.ppat.1000711 10.1016/j.cmet.2012.10.007 10.1186/1471-2105-13-113 10.1093/bioinformatics/btr507 10.1038/nphys489 10.1038/nature18850 10.1016/j.tree.2011.07.001 10.1038/nature11550 10.1038/nrmicro2832 10.1007/s00253-016-7679-1 10.1093/bioinformatics/btr381 10.1007/s00253-014-5941-y 10.1038/nature09944 10.1007/s00248-016-0831-8 10.1093/molbev/msp077 10.1038/nmeth.f.303 10.1016/j.apsoil.2015.04.018 10.1073/pnas.0810850106 10.1890/ES10-00117.1 10.1111/j.1461-0248.2010.01515.x 10.1093/bioinformatics/btq166 10.1016/j.chom.2012.10.012 10.1111/j.1462-2920.2012.02845.x 10.1038/ismej.2011.9 10.1038/nature05414 10.1146/annurev-ecolsys-110411-160340 10.1038/nrmicro2974 10.1038/nature07540 10.1038/ismej.2013.93 10.1111/j.1461-0248.2006.00996.x 10.1093/bioinformatics/btq461 10.1038/ismej.2015.142 10.1007/978-3-642-38954-2_138 10.1038/ismej.2016.77 10.1007/s00109-016-1474-4 10.1111/1462-2920.13365 10.1111/1462-2920.13463 |
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References | Clarke (CR34) 1993; 18 Edgar (CR30) 2010; 26 Sullam, Essinger, Lozupone, O’Connor, Rosen, Knight, Kilham, Russell (CR17) 2012; 21 CR37 Ferrer, Ruiz, Lanza, Haange, Oberbach, Till, Bargiela, Campoy, Segura, Richter (CR16) 2013; 15 CR35 Wu, Xiong, Hu, Shi, Wang, Zhang (CR46) 2015; 94 Inglis, Gardner, Cornelis, Buckling (CR63) 2009; 106 Burns, Stephens, Stagaman, Wong, Rawls, Guillemin, Bohannan (CR9) 2016; 10 Lebba, Santangelo, Totino, Nicoletti, Gagliardi, De Biase, Cucchiara, Nencioni, Conte, Schippa (CR57) 2013; 8 Chase, Kraft, Smith, Vellend, Inouye (CR38) 2011; 2 Wagner (CR60) 2011; 26 Faust, Raes (CR24) 2012; 10 Xiong, Chen, Hu, Ye, Kong, Zhang (CR25) 2015; 5 Ng'ambi, Li, Mu, Song, Liu, Wang (CR6) 2016; 59 Sha, Liu, Wang, Jiang, Sun, Wang (CR12) 2016; 85 Dufrêne, Legendre (CR36) 1997; 67 Price, Dehal, Arkin (CR33) 2009; 26 Mallon, Elsas, Salles (CR66) 2015; 23 Jousset, Schulz, Scheu, Eisenhauer (CR64) 2011; 5 Herlemann, Labrenz, Jürgens, Bertilsson, Waniek, Andersson (CR26) 2011; 5 Magoč, Salzberg (CR27) 2011; 27 Edgar, Haas, Clemente, Quince, Knight (CR29) 2011; 27 Holmes, Li, Marchesi, Nicholson (CR15) 2012; 16 Zhu, Dai, Qiu, Dong, Zhang, Xiong (CR19) 2016; 72 Egan, Gardiner (CR23) 2016; 7 Fukami (CR52) 2015; 46 Shannon, Markiel, Ozier, Baliga, Wang, Ramage, Amin, Schwikowski, Ideker (CR44) 2003; 13 Kembel, Cowan, Helmus, Cornwell, Morlon, Ackerly, Blomberg, Webb (CR40) 2010; 26 Wiens, Ackerly, Allen, Anacker, Buckley, Cornell, Damschen, Davies, Grytnes, Harrison (CR18) 2010; 13 Duran-Pinedo, Paster, Teles, Friaslopez (CR21) 2011; 6 Stegen, Lin, Fredrickson, Chen, Kennedy, Murray, Rockhold, Konopka (CR39) 2013; 7 Miyanaga, Shimizu, Noro, Seike, Kitamura, Kosaihira, Minegishi, Shukuya, Yoshimura, Kawamoto (CR11) 2011; 473 De Santis, Hugenholtz, Keller, Brodie, Larsen, Piceno, Phan, Andersen (CR32) 2006; 34 Turnbaugh, Hamady, Yatsunenko, Cantarel, Duncan, Ley, Sogin, Jones, Roe, Affourtit, Egholm, Henrissat, Heath, Knight, Gordon (CR20) 2009; 457 Deng, Jiang, Yang, He, Luo, Zhou (CR42) 2012; 13 CR55 CR10 Stecher, Chaffron, Käppeli, Hapfelmeier, Freedrich, Weber, Kirundi, Suar, Mccoy, Von (CR59) 2010; 6 Galitskaya, Akhmetzyanova, Selivanovskaya (CR56) 2016; 13 Mosca, Leclerc, Hugot (CR4) 2016; 7 Webb, Ackerly, McPeek, Donoghue (CR41) 2002; 33 Lozupone, Stombaugh, Gordon, Jansson, Knight (CR58) 2012; 489 Yan, Li, Yu, Wang, He, Van Nostrand, Kempher, Wu, Wang, Liao, Li, Wu, Ni, Wang, Zhou (CR5) 2016 Xiong, Zhu, Zhang (CR7) 2014; 98 De Santis, Hugenholtz, Larsen, Rojas, Brodie, Keller, Huber, Dalevi, Hu, Andersen (CR31) 2006; 72 Turnbaugh, Ley, Mahowald, Magrini, Mardis, Gordon (CR13) 2006; 444 Newman (CR47) 2006; 103 Tap, Furet, Bensaada, Philippe, Roth, Rabot, Lakhdari, Lombard, Henrissat, Corthier (CR2) 2015; 17 Langille, Zaneveld, Caporaso, McDonald, Knights, Reyes, Clemente, Burkepile, Thurber, Knight (CR45) 2013; 31 Sabes-Figuera, Knapp, Bendeck, Mompart-Penina, Salvador-Carulla (CR8) 2015; 26 CR65 Guimera, Sales-Pardo, Amaral (CR48) 2007; 3 Newman (CR43) 2003; 45 Caporaso, Kuczynski, Stombaugh (CR28) 2010; 7 Xiong, Dai, Li (CR51) 2016; 100 Bäckhed, Fraser, Ringel, Sanders, Sartor, Sherman, Versalovic, Young, Finlay (CR49) 2012; 12 Xiong, Wang, Wu, Qiuqian, Yang, Qian, Zhang (CR3) 2015; 99 Riva, Borgo, Lassandro, Verduci, Morace, Borghi, Berry (CR14) 2016 Adler, Hillerislambers, Levine (CR61) 2007; 10 Mayfield, Levine (CR62) 2010; 13 Sommer, Bäckhed (CR1) 2013; 11 Hallam, McCutcheon (CR22) 2015; 7 Harakeh, Khan, Kumosani, Barbour, Almasaudi, Bahijri, Alfadul, Ajabnoor, Azhar (CR54) 2016; 6 Gilbert, Quinn, Debelius, Xu, Morton, Garg, Jansson, Dorrestein, Knight (CR50) 2016; 535 Fjellheim, Playfoot, Skjermo, Vadstein (CR53) 2012; 43 M Ferrer (910_CR16) 2013; 15 T Magoč (910_CR27) 2011; 27 JG Caporaso (910_CR28) 2010; 7 R Sabes-Figuera (910_CR8) 2015; 26 SM Harakeh (910_CR54) 2016; 6 PJ Turnbaugh (910_CR20) 2009; 457 A Mosca (910_CR4) 2016; 7 DP Herlemann (910_CR26) 2011; 5 SJ Hallam (910_CR22) 2015; 7 T Fukami (910_CR52) 2015; 46 RC Edgar (910_CR30) 2010; 26 KE Sullam (910_CR17) 2012; 21 CA Mallon (910_CR66) 2015; 23 JJ Wiens (910_CR18) 2010; 13 MG Langille (910_CR45) 2013; 31 RC Edgar (910_CR29) 2011; 27 J Zhu (910_CR19) 2016; 72 B Stecher (910_CR59) 2010; 6 E Holmes (910_CR15) 2012; 16 AJ Fjellheim (910_CR53) 2012; 43 J Xiong (910_CR51) 2016; 100 AE Duran-Pinedo (910_CR21) 2011; 6 A Miyanaga (910_CR11) 2011; 473 910_CR37 910_CR35 TZ De Santis (910_CR32) 2006; 34 PB Adler (910_CR61) 2007; 10 MEJ Newman (910_CR43) 2003; 45 P Galitskaya (910_CR56) 2016; 13 ME Newman (910_CR47) 2006; 103 V Lebba (910_CR57) 2013; 8 J Wu (910_CR46) 2015; 94 CO Webb (910_CR41) 2002; 33 A Jousset (910_CR64) 2011; 5 SW Kembel (910_CR40) 2010; 26 910_CR65 J Tap (910_CR2) 2015; 17 P Shannon (910_CR44) 2003; 13 M Dufrêne (910_CR36) 1997; 67 R Guimera (910_CR48) 2007; 3 CA Lozupone (910_CR58) 2012; 489 J Ng'ambi (910_CR6) 2016; 59 MN Price (910_CR33) 2009; 26 S Egan (910_CR23) 2016; 7 AR Burns (910_CR9) 2016; 10 KR Clarke (910_CR34) 1993; 18 MM Mayfield (910_CR62) 2010; 13 JA Gilbert (910_CR50) 2016; 535 JM Chase (910_CR38) 2011; 2 PJ Turnbaugh (910_CR13) 2006; 444 K Faust (910_CR24) 2012; 10 J Xiong (910_CR3) 2015; 99 910_CR55 J Xiong (910_CR7) 2014; 98 910_CR10 F Sommer (910_CR1) 2013; 11 Y Sha (910_CR12) 2016; 85 JC Stegen (910_CR39) 2013; 7 RF Inglis (910_CR63) 2009; 106 Q Yan (910_CR5) 2016 TZ De Santis (910_CR31) 2006; 72 J Xiong (910_CR25) 2015; 5 A Riva (910_CR14) 2016 Y Deng (910_CR42) 2012; 13 F Bäckhed (910_CR49) 2012; 12 A Wagner (910_CR60) 2011; 26 20709691 - Bioinformatics. 2010 Oct 1;26(19):2460-1 23613881 - PLoS One. 2013 Apr 16;8(4):e61608 25042597 - Appl Microbiol Biotechnol. 2014 Oct;98(19):8291-9 27130138 - Environ Microbiol. 2016 Dec;18(12 ):4739-4754 27538872 - Microb Ecol. 2016 Nov;72 (4):975-985 22796884 - Nat Rev Microbiol. 2012 Jul 16;10(8):538-50 27625997 - Front Cell Infect Microbiol. 2016 Aug 30;6:95 21700674 - Bioinformatics. 2011 Aug 15;27(16):2194-200 20395285 - Bioinformatics. 2010 Jun 1;26(11):1463-4 22486918 - Mol Ecol. 2012 Jul;21(13):3363-78 19043404 - Nature. 2009 Jan 22;457(7228):480-4 27177190 - ISME J. 2016 Dec;10 (12 ):2973-2977 26235304 - Environ Microbiol. 2015 Dec;17(12):4954-64 22972295 - Nature. 2012 Sep 13;489(7415):220-30 21472016 - ISME J. 2011 Oct;5(10):1571-9 27815204 - Fish Shellfish Immunol. 2016 Dec;59:305-311 23159051 - Cell Host Microbe. 2012 Nov 15;12(5):611-22 23739053 - ISME J. 2013 Nov;7(11):2069-79 18618010 - Nat Phys. 2007;3(1):63-69 17183312 - Nature. 2006 Dec 21;444(7122):1027-31 26471739 - Sci Rep. 2015 Oct 16;5:15274 26439296 - Trends Microbiol. 2015 Nov;23(11):719-29 21840080 - Trends Ecol Evol. 2011 Nov;26(11):577-84 27450202 - Environ Microbiol. 2017 Jan;19(1):95-105 21508958 - Nature. 2011 May 12;473(7346):174-80 25947250 - Appl Microbiol Biotechnol. 2015 Aug;99(16):6911-9 16820507 - Appl Environ Microbiol. 2006 Jul;72(7):5069-72 22163302 - PLoS One. 2011;6(12):e28438 17257097 - Ecol Lett. 2007 Feb;10(2):95-104 26296066 - ISME J. 2016 Mar;10 (3):655-64 27333908 - Appl Microbiol Biotechnol. 2016 Aug;100(16):6947-54 20062525 - PLoS Pathog. 2010 Jan;6(1):e1000711 22891823 - Environ Microbiol. 2013 Jan;15(1):211-26 20383131 - Nat Methods. 2010 May;7(5):335-6 19377059 - Mol Biol Evol. 2009 Jul;26(7):1641-50 23975157 - Nat Biotechnol. 2013 Sep;31(9):814-21 16845035 - Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W394-9 21903629 - Bioinformatics. 2011 Nov 1;27(21):2957-63 27383984 - Nature. 2016 Jul 06;535(7610):94-103 27065999 - Front Microbiol. 2016 Mar 31;7:455 21346790 - ISME J. 2011 Jul;5(7):1108-14 23140640 - Cell Metab. 2012 Nov 7;16(5):559-64 19321425 - Proc Natl Acad Sci U S A. 2009 Apr 7;106(14):5703-7 16723398 - Proc Natl Acad Sci U S A. 2006 Jun 6;103(23):8577-82 22646978 - BMC Bioinformatics. 2012 May 30;13:113 20649638 - Ecol Lett. 2010 Oct;13(10):1310-24 27446031 - Front Microbiol. 2016 Jun 21;7:991 27639584 - J Mol Med (Berl). 2017 Jan;95(1):13-20 25721597 - Environ Microbiol Rep. 2015 Feb;7(1):26-8 23435359 - Nat Rev Microbiol. 2013 Apr;11(4):227-38 20576030 - Ecol Lett. 2010 Sep;13(9):1085-93 14597658 - Genome Res. 2003 Nov;13(11):2498-504 |
References_xml | – volume: 13 start-page: 2498 year: 2003 end-page: 2504 ident: CR44 article-title: Cytoscape: a software environment for integrated models of biomolecular interaction networks publication-title: Genome Res. doi: 10.1101/gr.1239303 – volume: 103 start-page: 8577 year: 2006 end-page: 8582 ident: CR47 article-title: Modularity and community structure in networks publication-title: Proc Nat Acad Sci USA doi: 10.1073/pnas.0601602103 – volume: 43 start-page: 1499 year: 2012 end-page: 1508 ident: CR53 article-title: Inter-individual variation in the dominant intestinal microbiota of reared Atlantic cod ( L.) larvae publication-title: Aquac. Res. doi: 10.1111/j.1365-2109.2011.02952.x – volume: 72 start-page: 5069 year: 2006 end-page: 5072 ident: CR31 article-title: Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB publication-title: Applied Environ Microbiol doi: 10.1128/AEM.03006-05 – volume: 7 start-page: 455 year: 2016 ident: CR4 article-title: Gut microbiota diversity and human diseases: should we reintroduce key predators in our ecosystem? publication-title: Front. Microbiol. doi: 10.3389/fmicb.2016.00455 – volume: 33 start-page: 475 year: 2002 end-page: 505 ident: CR41 article-title: Phylogenies and community ecology publication-title: Ann Rev Ecol Syst doi: 10.1146/annurev.ecolsys.33.010802.150448 – volume: 8 start-page: e61608 year: 2013 ident: CR57 article-title: Higher prevalence and abundance of Bdellovibrio bacteriovorus in the human gut of healthy subjects publication-title: PLoS One doi: 10.1371/journal.pone.0061608 – volume: 99 start-page: 6911 year: 2015 end-page: 6919 ident: CR3 article-title: Changes in intestinal bacterial communities are closely associated with shrimp disease severity publication-title: Appl. Microbiol. Biotechnol. doi: 10.1007/s00253-015-6632-z – volume: 5 start-page: 15274 year: 2015 ident: CR25 article-title: Evidence of bacterioplankton community adaptation in response to long-term mariculture disturbance publication-title: Sci Rep doi: 10.1038/srep15274 – volume: 34 start-page: 394 year: 2006 end-page: 399 ident: CR32 article-title: NAST: a multiple sequence alignment server for comparative analysis of 16S rRNA genes publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkl244 – volume: 18 start-page: 117 year: 1993 end-page: 143 ident: CR34 article-title: Non-parametric multivariate analyses of changes in community structure publication-title: Aust. J. Ecol. doi: 10.1111/j.1442-9993.1993.tb00438.x – volume: 23 start-page: 719 year: 2015 end-page: 729 ident: CR66 article-title: Microbial invasions: the process, patterns, and mechanisms publication-title: Trends Microbiol. doi: 10.1016/j.tim.2015.07.013 – ident: CR35 – volume: 45 start-page: 167 year: 2003 end-page: 256 ident: CR43 article-title: The structure and function of complex networks publication-title: SIAM Rev. doi: 10.1137/S003614450342480 – volume: 7 start-page: 26 year: 2015 end-page: 28 ident: CR22 article-title: Microbes don’t play solitaire: how cooperation trumps isolation in the microbial world publication-title: Environ. Microbiol. Rep. doi: 10.1111/1758-2229.12248 – volume: 7 start-page: 991 year: 2016 ident: CR23 article-title: Microbial dysbiosis: rethinking disease in marine ecosystems publication-title: Front. Microbiol. – volume: 31 start-page: 814 year: 2013 end-page: 821 ident: CR45 article-title: Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences publication-title: Nat Biotech doi: 10.1038/nbt.2676 – volume: 85 start-page: 109 year: 2016 end-page: 115 ident: CR12 article-title: Gut bacterial diversity of farmed sea cucumbers with different growth rates publication-title: Microbiology doi: 10.1134/S0026261716010112 – volume: 17 start-page: 4954 year: 2015 end-page: 4964 ident: CR2 article-title: Gut microbiota richness promotes its stability upon increased dietary fibre intake in healthy adults publication-title: Environ. Microbiol. doi: 10.1111/1462-2920.13006 – volume: 21 start-page: 3363 year: 2012 end-page: 3378 ident: CR17 article-title: Environmental and ecological factors that shape the gut bacterial communities of fish: a meta-analysis publication-title: Mol. Ecol. doi: 10.1111/j.1365-294X.2012.05552.x – volume: 67 start-page: 345 year: 1997 end-page: 366 ident: CR36 article-title: Species assemblages and indicator species: the need for a flexible asymmetrical approach publication-title: Ecol. Monogr. – volume: 59 start-page: 1050 year: 2016 end-page: 4648 ident: CR6 article-title: Dietary administration of saponin stimulates growth of the swimming crab Portunus Trituberculatus and enhances its resistance against vibrio alginolyticus infection publication-title: Fish Shellfish Immunol doi: 10.1016/j.fsi.2016.10.041 – volume: 13 start-page: 5739 year: 2016 end-page: 5752 ident: CR56 article-title: Biochar carrying hydrocarbon decomposers promotes degradation during the early stage of bioremediation publication-title: Biogeosci Discuss doi: 10.5194/bg-13-5739-2016 – volume: 5 start-page: 1571 year: 2011 end-page: 1579 ident: CR26 article-title: Transitions in bacterial communities along the 2000 km salinity gradient of the Baltic Sea publication-title: ISME J doi: 10.1038/ismej.2011.41 – volume: 13 start-page: 1085 year: 2010 end-page: 1093 ident: CR62 article-title: Opposing effects of competitive exclusion on the phylogenetic structure of communities publication-title: Ecol. Lett. doi: 10.1111/j.1461-0248.2010.01509.x – volume: 6 start-page: e28438 year: 2011 ident: CR21 article-title: Correlation network analysis applied to complex biofilm communities publication-title: PLoS One doi: 10.1371/journal.pone.0028438 – volume: 26 start-page: 24 year: 2015 end-page: 29 ident: CR8 article-title: The composition of the gut microbiota throughout life, with an emphasis on early life publication-title: Microb. Ecol. Health Dis. – volume: 6 start-page: e1000711 year: 2010 ident: CR59 article-title: Like will to like: abundances of closely related species can predict susceptibility to intestinal colonization by pathogenic and commensal bacteria publication-title: PLoS Path doi: 10.1371/journal.ppat.1000711 – volume: 16 start-page: 559 year: 2012 end-page: 564 ident: CR15 article-title: Gut microbiota composition and activity in relation to host metabolic phenotype and disease risk publication-title: Cell Metab. doi: 10.1016/j.cmet.2012.10.007 – volume: 13 start-page: 113 year: 2012 ident: CR42 article-title: Molecular ecological network analyses publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-13-113 – volume: 27 start-page: 2957 year: 2011 end-page: 2963 ident: CR27 article-title: FLASH: fast length adjustment of short reads to improve genome assemblies publication-title: Bioinformatics doi: 10.1093/bioinformatics/btr507 – volume: 3 start-page: 63 year: 2007 end-page: 69 ident: CR48 article-title: Classes of complex networks defined by role-to-role connectivity profiles publication-title: Nat Physcis doi: 10.1038/nphys489 – volume: 535 start-page: 94 year: 2016 end-page: 103 ident: CR50 article-title: Microbiome-wide association studies link dynamic microbial consortia to disease publication-title: Nature doi: 10.1038/nature18850 – volume: 26 start-page: 577 year: 2011 end-page: 584 ident: CR60 article-title: Genotype networks shed light on evolutionary constraints publication-title: Trends Ecol. Evol. doi: 10.1016/j.tree.2011.07.001 – volume: 489 start-page: 220 year: 2012 end-page: 230 ident: CR58 article-title: Diversity, stability and resilience of the human gut microbiota publication-title: Nature doi: 10.1038/nature11550 – volume: 10 start-page: 538 year: 2012 end-page: 550 ident: CR24 article-title: Microbial interactions: from networks to models publication-title: Nat Rev Microbiol doi: 10.1038/nrmicro2832 – volume: 100 start-page: 6947 year: 2016 end-page: 6954 ident: CR51 article-title: Advances, challenges, and directions in shrimp disease control: the guidelines from an ecological perspective publication-title: Appl Microbiol Biotech doi: 10.1007/s00253-016-7679-1 – volume: 27 start-page: 2194 year: 2011 end-page: 2200 ident: CR29 article-title: UCHIME improves sensitivity and speed of chimera detection publication-title: Bioinformatics doi: 10.1093/bioinformatics/btr381 – volume: 98 start-page: 8291 year: 2014 end-page: 8299 ident: CR7 article-title: The application of bacterial indicator phylotypes to predict shrimp health status publication-title: Appl. Microbiol. Biotechnol. doi: 10.1007/s00253-014-5941-y – volume: 473 start-page: 174 year: 2011 end-page: 180 ident: CR11 article-title: Enterotypes of the human gut microbiome publication-title: Nature doi: 10.1038/nature09944 – ident: CR37 – ident: CR10 – volume: 72 start-page: 975 year: 2016 end-page: 985 ident: CR19 article-title: Contrasting ecological processes and functional compositions between intestinal bacterial community in healthy and diseased shrimp publication-title: Microb. Ecol. doi: 10.1007/s00248-016-0831-8 – volume: 26 start-page: 1641 year: 2009 end-page: 1650 ident: CR33 article-title: FastTree: computing large minimum evolution trees with profiles instead of a distance matrix publication-title: Mol. Biol. Evol. doi: 10.1093/molbev/msp077 – volume: 7 start-page: 335 year: 2010 end-page: 336 ident: CR28 article-title: QIIME allows analysis of high-throughput community sequencing data publication-title: Nat. Methods doi: 10.1038/nmeth.f.303 – volume: 94 start-page: 40 year: 2015 end-page: 48 ident: CR46 article-title: Temperature sensitivity of soil bacterial community along contrasting warming gradient publication-title: Appl. Soil Ecol. doi: 10.1016/j.apsoil.2015.04.018 – volume: 106 start-page: 5703 year: 2009 end-page: 5707 ident: CR63 article-title: Spite and virulence in the bacterium Pseudomonas Aeruginosa publication-title: Proc Nat Acad Sci USA doi: 10.1073/pnas.0810850106 – volume: 2 start-page: art24 year: 2011 ident: CR38 article-title: Using null models to disentangle variation in community dissimilarity from variation in α-diversity publication-title: Ecosphere doi: 10.1890/ES10-00117.1 – volume: 13 start-page: 1310 year: 2010 end-page: 1324 ident: CR18 article-title: Niche conservatism as an emerging principle in ecology and conservation biology publication-title: Ecol. Lett. doi: 10.1111/j.1461-0248.2010.01515.x – volume: 26 start-page: 1463 year: 2010 end-page: 1464 ident: CR40 article-title: Picante: R tools for integrating phylogenies and ecology publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq166 – volume: 12 start-page: 611 year: 2012 end-page: 622 ident: CR49 article-title: Defining a healthy human gut microbiome: current concepts, future directions, and clinical applications publication-title: Cell Host Microbe doi: 10.1016/j.chom.2012.10.012 – volume: 15 start-page: 211 year: 2013 end-page: 226 ident: CR16 article-title: Microbiota from the distal guts of lean and obese adolescents exhibit partial functional redundancy besides clear differences in community structure publication-title: Environ. Microbiol. doi: 10.1111/j.1462-2920.2012.02845.x – ident: CR65 – volume: 5 start-page: 1108 year: 2011 end-page: 1114 ident: CR64 article-title: Intraspecific genotypic richness and relatedness predict the invasibility of microbial communities publication-title: ISME J doi: 10.1038/ismej.2011.9 – volume: 6 start-page: 95 year: 2016 ident: CR54 article-title: Gut microbiota: a contributing factor to obesity publication-title: Front Cell Infet Microbiol – volume: 444 start-page: 1027 year: 2006 end-page: 1031 ident: CR13 article-title: An obesity-associated gut microbiome with increased capacity for energy harvest publication-title: Nature doi: 10.1038/nature05414 – volume: 46 start-page: 1 year: 2015 end-page: 23 ident: CR52 article-title: Historical contingency in community assembly: integrating niches, species pools, and priority fffects publication-title: Ann Rev Ecol Evol Syst doi: 10.1146/annurev-ecolsys-110411-160340 – year: 2016 ident: CR5 article-title: Environmental filtering decreases with fish development for the assembly of gut microbiota publication-title: Environ. Microbiol. – volume: 11 start-page: 227 year: 2013 end-page: 238 ident: CR1 article-title: The gut microbiota—masters of host development and physiology publication-title: Nat Rev Microbiol doi: 10.1038/nrmicro2974 – volume: 457 start-page: 480 year: 2009 end-page: 484 ident: CR20 article-title: A core gut microbiome in obese and lean twins publication-title: Nature doi: 10.1038/nature07540 – volume: 7 start-page: 2069 year: 2013 end-page: 2079 ident: CR39 article-title: Quantifying community assembly processes and identifying features that impose them publication-title: ISME J doi: 10.1038/ismej.2013.93 – volume: 10 start-page: 95 year: 2007 end-page: 104 ident: CR61 article-title: A niche for neutrality publication-title: Ecol. Lett. doi: 10.1111/j.1461-0248.2006.00996.x – ident: CR55 – volume: 26 start-page: 2460 year: 2010 end-page: 2461 ident: CR30 article-title: Search and clustering orders of magnitude faster than BLAST publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq461 – volume: 10 start-page: 655 year: 2016 end-page: 664 ident: CR9 article-title: Contribution of neutral processes to the assembly of gut microbial communities in the zebrafish over host development publication-title: ISME J doi: 10.1038/ismej.2015.142 – year: 2016 ident: CR14 article-title: Pediatric obesity is associated with an altered gut microbiota and discordant shifts in Firmicutes populations publication-title: Environ. Microbiol. – volume: 7 start-page: 455 year: 2016 ident: 910_CR4 publication-title: Front. Microbiol. doi: 10.3389/fmicb.2016.00455 – volume: 6 start-page: e28438 year: 2011 ident: 910_CR21 publication-title: PLoS One doi: 10.1371/journal.pone.0028438 – volume: 489 start-page: 220 year: 2012 ident: 910_CR58 publication-title: Nature doi: 10.1038/nature11550 – volume: 21 start-page: 3363 year: 2012 ident: 910_CR17 publication-title: Mol. Ecol. doi: 10.1111/j.1365-294X.2012.05552.x – volume: 46 start-page: 1 year: 2015 ident: 910_CR52 publication-title: Ann Rev Ecol Evol Syst doi: 10.1146/annurev-ecolsys-110411-160340 – volume: 5 start-page: 1108 year: 2011 ident: 910_CR64 publication-title: ISME J doi: 10.1038/ismej.2011.9 – ident: 910_CR55 doi: 10.1007/978-3-642-38954-2_138 – volume: 6 start-page: e1000711 year: 2010 ident: 910_CR59 publication-title: PLoS Path doi: 10.1371/journal.ppat.1000711 – volume: 7 start-page: 335 year: 2010 ident: 910_CR28 publication-title: Nat. Methods doi: 10.1038/nmeth.f.303 – volume: 59 start-page: 1050 year: 2016 ident: 910_CR6 publication-title: Fish Shellfish Immunol doi: 10.1016/j.fsi.2016.10.041 – volume: 5 start-page: 1571 year: 2011 ident: 910_CR26 publication-title: ISME J doi: 10.1038/ismej.2011.41 – volume: 26 start-page: 1641 year: 2009 ident: 910_CR33 publication-title: Mol. Biol. Evol. doi: 10.1093/molbev/msp077 – volume: 10 start-page: 538 year: 2012 ident: 910_CR24 publication-title: Nat Rev Microbiol doi: 10.1038/nrmicro2832 – volume: 94 start-page: 40 year: 2015 ident: 910_CR46 publication-title: Appl. Soil Ecol. doi: 10.1016/j.apsoil.2015.04.018 – ident: 910_CR10 doi: 10.1038/ismej.2016.77 – volume: 18 start-page: 117 year: 1993 ident: 910_CR34 publication-title: Aust. J. Ecol. doi: 10.1111/j.1442-9993.1993.tb00438.x – volume: 31 start-page: 814 year: 2013 ident: 910_CR45 publication-title: Nat Biotech doi: 10.1038/nbt.2676 – volume: 72 start-page: 975 year: 2016 ident: 910_CR19 publication-title: Microb. Ecol. doi: 10.1007/s00248-016-0831-8 – volume: 26 start-page: 24 year: 2015 ident: 910_CR8 publication-title: Microb. Ecol. Health Dis. – volume: 7 start-page: 991 year: 2016 ident: 910_CR23 publication-title: Front. Microbiol. – volume: 2 start-page: art24 year: 2011 ident: 910_CR38 publication-title: Ecosphere doi: 10.1890/ES10-00117.1 – volume: 7 start-page: 26 year: 2015 ident: 910_CR22 publication-title: Environ. Microbiol. Rep. doi: 10.1111/1758-2229.12248 – volume: 13 start-page: 2498 year: 2003 ident: 910_CR44 publication-title: Genome Res. doi: 10.1101/gr.1239303 – volume: 27 start-page: 2957 year: 2011 ident: 910_CR27 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btr507 – volume: 7 start-page: 2069 year: 2013 ident: 910_CR39 publication-title: ISME J doi: 10.1038/ismej.2013.93 – volume: 67 start-page: 345 year: 1997 ident: 910_CR36 publication-title: Ecol. Monogr. – volume: 13 start-page: 5739 year: 2016 ident: 910_CR56 publication-title: Biogeosci Discuss doi: 10.5194/bg-13-5739-2016 – volume: 100 start-page: 6947 year: 2016 ident: 910_CR51 publication-title: Appl Microbiol Biotech doi: 10.1007/s00253-016-7679-1 – volume: 34 start-page: 394 year: 2006 ident: 910_CR32 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkl244 – volume: 45 start-page: 167 year: 2003 ident: 910_CR43 publication-title: SIAM Rev. doi: 10.1137/S003614450342480 – volume: 8 start-page: e61608 year: 2013 ident: 910_CR57 publication-title: PLoS One doi: 10.1371/journal.pone.0061608 – volume: 27 start-page: 2194 year: 2011 ident: 910_CR29 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btr381 – ident: 910_CR65 doi: 10.1007/s00109-016-1474-4 – volume: 23 start-page: 719 year: 2015 ident: 910_CR66 publication-title: Trends Microbiol. doi: 10.1016/j.tim.2015.07.013 – volume: 33 start-page: 475 year: 2002 ident: 910_CR41 publication-title: Ann Rev Ecol Syst doi: 10.1146/annurev.ecolsys.33.010802.150448 – volume: 473 start-page: 174 year: 2011 ident: 910_CR11 publication-title: Nature doi: 10.1038/nature09944 – volume: 444 start-page: 1027 year: 2006 ident: 910_CR13 publication-title: Nature doi: 10.1038/nature05414 – volume: 26 start-page: 1463 year: 2010 ident: 910_CR40 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq166 – ident: 910_CR37 – volume: 99 start-page: 6911 year: 2015 ident: 910_CR3 publication-title: Appl. Microbiol. Biotechnol. doi: 10.1007/s00253-015-6632-z – volume: 13 start-page: 1085 year: 2010 ident: 910_CR62 publication-title: Ecol. Lett. doi: 10.1111/j.1461-0248.2010.01509.x – volume: 10 start-page: 655 year: 2016 ident: 910_CR9 publication-title: ISME J doi: 10.1038/ismej.2015.142 – volume: 11 start-page: 227 year: 2013 ident: 910_CR1 publication-title: Nat Rev Microbiol doi: 10.1038/nrmicro2974 – year: 2016 ident: 910_CR5 publication-title: Environ. Microbiol. doi: 10.1111/1462-2920.13365 – year: 2016 ident: 910_CR14 publication-title: Environ. Microbiol. doi: 10.1111/1462-2920.13463 – volume: 12 start-page: 611 year: 2012 ident: 910_CR49 publication-title: Cell Host Microbe doi: 10.1016/j.chom.2012.10.012 – volume: 72 start-page: 5069 year: 2006 ident: 910_CR31 publication-title: Applied Environ Microbiol doi: 10.1128/AEM.03006-05 – volume: 10 start-page: 95 year: 2007 ident: 910_CR61 publication-title: Ecol. Lett. doi: 10.1111/j.1461-0248.2006.00996.x – volume: 3 start-page: 63 year: 2007 ident: 910_CR48 publication-title: Nat Physcis doi: 10.1038/nphys489 – volume: 16 start-page: 559 year: 2012 ident: 910_CR15 publication-title: Cell Metab. doi: 10.1016/j.cmet.2012.10.007 – volume: 17 start-page: 4954 year: 2015 ident: 910_CR2 publication-title: Environ. Microbiol. doi: 10.1111/1462-2920.13006 – volume: 15 start-page: 211 year: 2013 ident: 910_CR16 publication-title: Environ. Microbiol. doi: 10.1111/j.1462-2920.2012.02845.x – ident: 910_CR35 – volume: 535 start-page: 94 year: 2016 ident: 910_CR50 publication-title: Nature doi: 10.1038/nature18850 – volume: 26 start-page: 2460 year: 2010 ident: 910_CR30 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq461 – volume: 85 start-page: 109 year: 2016 ident: 910_CR12 publication-title: Microbiology doi: 10.1134/S0026261716010112 – volume: 457 start-page: 480 year: 2009 ident: 910_CR20 publication-title: Nature doi: 10.1038/nature07540 – volume: 106 start-page: 5703 year: 2009 ident: 910_CR63 publication-title: Proc Nat Acad Sci USA doi: 10.1073/pnas.0810850106 – volume: 13 start-page: 1310 year: 2010 ident: 910_CR18 publication-title: Ecol. Lett. doi: 10.1111/j.1461-0248.2010.01515.x – volume: 6 start-page: 95 year: 2016 ident: 910_CR54 publication-title: Front Cell Infet Microbiol – volume: 98 start-page: 8291 year: 2014 ident: 910_CR7 publication-title: Appl. Microbiol. Biotechnol. doi: 10.1007/s00253-014-5941-y – volume: 13 start-page: 113 year: 2012 ident: 910_CR42 publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-13-113 – volume: 5 start-page: 15274 year: 2015 ident: 910_CR25 publication-title: Sci Rep doi: 10.1038/srep15274 – volume: 103 start-page: 8577 year: 2006 ident: 910_CR47 publication-title: Proc Nat Acad Sci USA doi: 10.1073/pnas.0601602103 – volume: 43 start-page: 1499 year: 2012 ident: 910_CR53 publication-title: Aquac. Res. doi: 10.1111/j.1365-2109.2011.02952.x – volume: 26 start-page: 577 year: 2011 ident: 910_CR60 publication-title: Trends Ecol. Evol. doi: 10.1016/j.tree.2011.07.001 – reference: 21346790 - ISME J. 2011 Jul;5(7):1108-14 – reference: 25042597 - Appl Microbiol Biotechnol. 2014 Oct;98(19):8291-9 – reference: 22646978 - BMC Bioinformatics. 2012 May 30;13:113 – reference: 21472016 - ISME J. 2011 Oct;5(10):1571-9 – reference: 20709691 - Bioinformatics. 2010 Oct 1;26(19):2460-1 – reference: 27177190 - ISME J. 2016 Dec;10 (12 ):2973-2977 – reference: 23613881 - PLoS One. 2013 Apr 16;8(4):e61608 – reference: 27446031 - Front Microbiol. 2016 Jun 21;7:991 – reference: 17183312 - Nature. 2006 Dec 21;444(7122):1027-31 – reference: 27450202 - Environ Microbiol. 2017 Jan;19(1):95-105 – reference: 21840080 - Trends Ecol Evol. 2011 Nov;26(11):577-84 – reference: 26235304 - Environ Microbiol. 2015 Dec;17(12):4954-64 – reference: 27538872 - Microb Ecol. 2016 Nov;72 (4):975-985 – reference: 20649638 - Ecol Lett. 2010 Oct;13(10):1310-24 – reference: 27383984 - Nature. 2016 Jul 06;535(7610):94-103 – reference: 27130138 - Environ Microbiol. 2016 Dec;18(12 ):4739-4754 – reference: 25947250 - Appl Microbiol Biotechnol. 2015 Aug;99(16):6911-9 – reference: 20576030 - Ecol Lett. 2010 Sep;13(9):1085-93 – reference: 14597658 - Genome Res. 2003 Nov;13(11):2498-504 – reference: 21700674 - Bioinformatics. 2011 Aug 15;27(16):2194-200 – reference: 25721597 - Environ Microbiol Rep. 2015 Feb;7(1):26-8 – reference: 16820507 - Appl Environ Microbiol. 2006 Jul;72(7):5069-72 – reference: 23739053 - ISME J. 2013 Nov;7(11):2069-79 – reference: 26439296 - Trends Microbiol. 2015 Nov;23(11):719-29 – reference: 22972295 - Nature. 2012 Sep 13;489(7415):220-30 – reference: 23140640 - Cell Metab. 2012 Nov 7;16(5):559-64 – reference: 22486918 - Mol Ecol. 2012 Jul;21(13):3363-78 – reference: 20062525 - PLoS Pathog. 2010 Jan;6(1):e1000711 – reference: 20383131 - Nat Methods. 2010 May;7(5):335-6 – reference: 22796884 - Nat Rev Microbiol. 2012 Jul 16;10(8):538-50 – reference: 18618010 - Nat Phys. 2007;3(1):63-69 – reference: 27333908 - Appl Microbiol Biotechnol. 2016 Aug;100(16):6947-54 – reference: 26296066 - ISME J. 2016 Mar;10 (3):655-64 – reference: 19043404 - Nature. 2009 Jan 22;457(7228):480-4 – reference: 27065999 - Front Microbiol. 2016 Mar 31;7:455 – reference: 27815204 - Fish Shellfish Immunol. 2016 Dec;59:305-311 – reference: 17257097 - Ecol Lett. 2007 Feb;10(2):95-104 – reference: 27639584 - J Mol Med (Berl). 2017 Jan;95(1):13-20 – reference: 23159051 - Cell Host Microbe. 2012 Nov 15;12(5):611-22 – reference: 16723398 - Proc Natl Acad Sci U S A. 2006 Jun 6;103(23):8577-82 – reference: 22163302 - PLoS One. 2011;6(12):e28438 – reference: 26471739 - Sci Rep. 2015 Oct 16;5:15274 – reference: 20395285 - Bioinformatics. 2010 Jun 1;26(11):1463-4 – reference: 19321425 - Proc Natl Acad Sci U S A. 2009 Apr 7;106(14):5703-7 – reference: 21508958 - Nature. 2011 May 12;473(7346):174-80 – reference: 22891823 - Environ Microbiol. 2013 Jan;15(1):211-26 – reference: 16845035 - Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W394-9 – reference: 19377059 - Mol Biol Evol. 2009 Jul;26(7):1641-50 – reference: 23435359 - Nat Rev Microbiol. 2013 Apr;11(4):227-38 – reference: 27625997 - Front Cell Infect Microbiol. 2016 Aug 30;6:95 – reference: 23975157 - Nat Biotechnol. 2013 Sep;31(9):814-21 – reference: 21903629 - Bioinformatics. 2011 Nov 1;27(21):2957-63 |
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Title | The Underlying Ecological Processes of Gut Microbiota Among Cohabitating Retarded, Overgrown and Normal Shrimp |
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