Microbial biomarker detection in shrimp larvae rearing water as putative bio-surveillance proxies in shrimp aquaculture

被引:12
作者
Callac, Nolwenn [1 ]
Giraud, Carolane [1 ,2 ]
Boulo, Viviane [1 ,3 ]
Wabete, Nelly [1 ]
Pham, Dominique [1 ]
机构
[1] Univ Nouvelle Caledonie, Univ La Reunion, Ifremer, IRD,CNRS,UMR 9220,ENTROPIE, Caledonia, New Caledonia
[2] Univ New Caledonia, Inst Sci Exactes & Appl, Noumea, New Caledonia
[3] Univ Perpignan Via Domitia, Univ Montpellier, IHPE, CNRS,Ifremer, Montpellier, France
关键词
Shrimp larvae; Microbial biomarker; Rearing water microbiota; Healthy larvae; Unhealthy larvae; Bio-surveillance proxies; Lagoon microbiota; LITOPENAEUS-STYLIROSTRIS; PATHOGEN; IMPACTS;
D O I
10.7717/peerj.15201
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background. Aquacultured animals are reared in water hosting various microor-ganisms with which they are in close relationships during their whole lifecycle as some of these microorganisms can be involved in their host's health or physiology. In aquaculture hatcheries, understanding the interactions existing between the natural seawater microbiota, the rearing water microbiota, the larval stage and the larval health status, may allow the establishment of microbial proxies to monitor the rearing ecosystems. Indeed, these proxies could help to define the optimal microbiota for shrimp larval development and could ultimately help microbial management. Methods. In this context, we monitored the daily composition of the active microbiota of the rearing water in a hatchery of the Pacific blue shrimp Penaeus stylirostris. Two distinct rearing conditions were analyzed; one with antibiotics added to the rearing water and one without antibiotics. During this rearing, healthy larvae with a high survival rate and unhealthy larvae with a high mortality rate were observed. Using HiSeq sequencing of the V4 region of the 16S rRNA gene of the water microbiota, coupled with zootechnical and statistical analysis, we aimed to distinguish the microbial taxa related to high mortality rates at a given larval stage.Results. We highlight that the active microbiota of the rearing water is highly dynamic whatever the larval survival rate. A clear distinction of the microbial composition is shown between the water harboring heathy larvae reared with antibiotics versus the unhealthy larvae reared without antibiotics. However, it is hard to untangle the effects of the antibiotic addition and of the larval death on the active microbiota of the rearing water. Various active taxa of the rearing water are specific to a given larval stage and survival rate except for the zoea with a good survival rate. Comparing these communities to those of the lagoon, it appears that many taxa were originally detected in the natural seawater. This highlights the great importance of the microbial composition of the lagoon on the rearing water microbiota. Considering the larval stage and larval survival we highlight that several genera: Nautella, Leisingera, Ruegerira, Alconivorax, Marinobacter and Tenacibaculum, could be beneficial for the larval survival and may, in the rearing water, overcome the r-strategist microorganisms and/or putative pathogens. Members of these genera might also act as probiotics for the larvae. Marivita, Aestuariicocccus, HIMB11 and Nioella, appeared to be unfavorable for the larval survival and could be associated with upcoming and occurring larval mortalities. All these specific biomarkers of healthy or unhealthy larvae, could be used as early routine detection proxies in the natural seawater and then during the first days of larval rearing, and might help to manage the rearing water microbiota and to select beneficial microorganisms for the larvae.
引用
收藏
页数:27
相关论文
共 73 条
[1]   Pathogens and disease vectors/hosts monitoring in aquatic environments: Potential of using eDNA/eRNA based approach [J].
Amarasiri, Mohan ;
Furukawa, Takashi ;
Nakajima, Fumiyuki ;
Sei, Kazunari .
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 796
[2]   Bacterial analysis in the early developmental stages of the black tiger shrimp (Penaeus monodon) [J].
Angthong, Pacharaporn ;
Uengwetwanit, Tanaporn ;
Arayamethakorn, Sopacha ;
Chaitongsakul, Panomkorn ;
Karoonuthaisiri, Nitsara ;
Rungrassamee, Wanilada .
SCIENTIFIC REPORTS, 2020, 10 (01)
[3]   jvenn: an interactive Venn diagram viewer [J].
Bardou, Philippe ;
Mariette, Jerome ;
Escudie, Frederic ;
Djemiel, Christophe ;
Klopp, Christophe .
BMC BIOINFORMATICS, 2014, 15
[4]  
Beliaeff B, 2009, DEDUCTION RES PROJEC
[5]   Necrobiome framework for bridging decomposition ecology of autotrophically and heterotrophically derived organic matter [J].
Benbow, M. Eric ;
Barton, Philip S. ;
Ulyshen, Michael D. ;
Beasley, James C. ;
DeVault, Travis L. ;
Strickland, Michael S. ;
Tomberlin, Jeffery K. ;
Jordan, Heather R. ;
Pechal, Jennifer L. .
ECOLOGICAL MONOGRAPHS, 2019, 89 (01)
[6]   Ontogenetic Characterization of the Intestinal Microbiota of Channel Catfish through 16S rRNA Gene Sequencing Reveals Insights on Temporal Shifts and the Influence of Environmental Microbes [J].
Bledsoe, Jacob W. ;
Peterson, Brian C. ;
Swanson, Kelly S. ;
Small, Brian C. .
PLOS ONE, 2016, 11 (11)
[7]  
Bowman JP, 2015, BERGEYS MANUAL SYSTE, DOI [10.1002/9781118960608.fbm00217, DOI 10.1002/9781118960608.FBM00217]
[8]   Microbiota of the Rearing Water of Penaeus stylirostris Larvae Influenced by Lagoon Seawater and Specific Key Microbial Lineages of Larval Stage and Survival [J].
Callac, Nolwenn ;
Boulo, Viviane ;
Giraud, Carolane ;
Beauvais, Maxime ;
Ansquer, Dominique ;
Ballan, Valentine ;
Maillez, Jean-Rene ;
Wabete, Nelly ;
Pham, Dominique .
MICROBIOLOGY SPECTRUM, 2022, 10 (06)
[9]  
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/nmeth.3869, 10.1038/NMETH.3869]
[10]   microbiomeMarker: an R/Bioconductor package for microbiome marker identification and visualization [J].
Cao, Yang ;
Dong, Qingyang ;
Wang, Dan ;
Zhang, Pengcheng ;
Liu, Ying ;
Niu, Chao .
BIOINFORMATICS, 2022, 38 (16) :4027-4029