Evidence map›Paper›PMID 26509157›Full record

ReviewBioMed research international2015

Perspective for Aquaponic Systems: "Omic" Technologies for Microbial Community Analysis.

Perla Munguia-Fragozo, Oscar Alatorre-Jacome, Enrique Rico-Garcia, Irineo Torres-Pacheco, Andres Cruz-Hernandez, Rosalia V Ocampo-Velazquez, Juan F Garcia-Trejo, Ramon G Guevara-Gonzalez

Abstract readReview
In one paragraph

Review in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Perla Munguia-FragozoC. A. Ingeniería de Biosistemas, División de Investigación y Posgrado de la Facultad de Ingeniería, Universidad Autónoma de Querétaro, Centro Universitario, Cerro de las Campanas s/n, Colonia Las Campanas, 76010 Santiago de Querétaro, QRO, Mexico.
Oscar Alatorre-JacomeC. A. Ingeniería de Biosistemas, División de Investigación y Posgrado de la Facultad de Ingeniería, Universidad Autónoma de Querétaro, Centro Universitario, Cerro de las Campanas s/n, Colonia Las Campanas, 76010 Santiago de Querétaro, QRO, Mexico.
Enrique Rico-GarciaC. A. Ingeniería de Biosistemas, División de Investigación y Posgrado de la Facultad de Ingeniería, Universidad Autónoma de Querétaro, Centro Universitario, Cerro de las Campanas s/n, Colonia Las Campanas, 76010 Santiago de Querétaro, QRO, Mexico.
Irineo Torres-PachecoC. A. Ingeniería de Biosistemas, División de Investigación y Posgrado de la Facultad de Ingeniería, Universidad Autónoma de Querétaro, Centro Universitario, Cerro de las Campanas s/n, Colonia Las Campanas, 76010 Santiago de Querétaro, QRO, Mexico.
Andres Cruz-HernandezC. A. Ingeniería de Biosistemas, División de Investigación y Posgrado de la Facultad de Ingeniería, Universidad Autónoma de Querétaro, Centro Universitario, Cerro de las Campanas s/n, Colonia Las Campanas, 76010 Santiago de Querétaro, QRO, Mexico.
Rosalia V Ocampo-VelazquezC. A. Ingeniería de Biosistemas, División de Investigación y Posgrado de la Facultad de Ingeniería, Universidad Autónoma de Querétaro, Centro Universitario, Cerro de las Campanas s/n, Colonia Las Campanas, 76010 Santiago de Querétaro, QRO, Mexico.
Juan F Garcia-TrejoC. A. Ingeniería de Biosistemas, División de Investigación y Posgrado de la Facultad de Ingeniería, Universidad Autónoma de Querétaro, Centro Universitario, Cerro de las Campanas s/n, Colonia Las Campanas, 76010 Santiago de Querétaro, QRO, Mexico.
Ramon G Guevara-GonzalezC. A. Ingeniería de Biosistemas, División de Investigación y Posgrado de la Facultad de Ingeniería, Universidad Autónoma de Querétaro, Centro Universitario, Cerro de las Campanas s/n, Colonia Las Campanas, 76010 Santiago de Querétaro, QRO, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquaponics is the combined production of aquaculture and hydroponics, connected by a water recirculation system. In this productive system, the microbial community is responsible for carrying out the nutrient dynamics between the components. The nutrimental transformations mainly consist in the transformation of chemical species from toxic compounds into available nutrients. In this particular field, the microbial research, the "Omic" technologies will allow a broader scope of studies about a current microbial profile inside aquaponics community, even in those species that currently are unculturable. This approach can also be useful to understand complex interactions of living components in the system. Until now, the analog studies were made to set up the microbial characterization on recirculation aquaculture systems (RAS). However, microbial community composition of aquaponics is still unknown. "Omic" technologies like metagenomic can help to reveal taxonomic diversity. The perspectives are also to begin the first attempts to sketch the functional diversity inside aquaponic systems and its ecological relationships. The knowledge of the emergent properties inside the microbial community, as well as the understanding of the biosynthesis pathways, can derive in future biotechnological applications. Thus, the aim of this review is to show potential applications of current "Omic" tools to characterize the microbial community in aquaponic systems.

Indexed as

MetagenomicsWater MicrobiologyAnimalsAquacultureBacteriaComputational BiologyHydroponicsMetabolomicsProteomicsRNA, Ribosomal, 16SWaterRNA, Ribosomal, 16SWater

Identifiers

PMID26509157
PMCPMC4609784

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.