Evidence map›Paper›PMID 30937653›Full record

ArticleMolecular biology reports2019

Microbial diversity in a coastal environment with co-existing upwelling and mud-banks along the south west coast of India.

A Parvathi, Vijayan Jasna, Vijaya Krishna Aswathy, Vinod Kumar Nathan, Sreekumar Aparna, K K Balachandran

Abstract read
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In one paragraph

Article in Molecular biology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Bacterial diversity in the aquatic system in India based on metagenome analysis-a critical review.Environmental science and pollution research international · 2023
    Review
  3. Review
  4. Article
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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

6 authors at 2 institutions in 1 country.

A ParvathiRegional Centre, CSIR-National Institute of Oceanography, Dr. Salim Ali Road, Post Box No. 1913, Kochi, Kerala, 682 018, India. parvathi@nio.org.ORCID http://orcid.org/0000-0001-6916-2671
Vijayan JasnaRegional Centre, CSIR-National Institute of Oceanography, Dr. Salim Ali Road, Post Box No. 1913, Kochi, Kerala, 682 018, India.
Vijaya Krishna AswathyRegional Centre, CSIR-National Institute of Oceanography, Dr. Salim Ali Road, Post Box No. 1913, Kochi, Kerala, 682 018, India.
Vinod Kumar NathanRegional Centre, CSIR-National Institute of Oceanography, Dr. Salim Ali Road, Post Box No. 1913, Kochi, Kerala, 682 018, India.
Sreekumar AparnaRegional Centre, CSIR-National Institute of Oceanography, Dr. Salim Ali Road, Post Box No. 1913, Kochi, Kerala, 682 018, India.
K K BalachandranRegional Centre, CSIR-National Institute of Oceanography, Dr. Salim Ali Road, Post Box No. 1913, Kochi, Kerala, 682 018, India.
National Institute of Oceanography · INIndian Space Research Organisation · IN

Funding

National Institute of Oceanography, India OLP1709
6 · The paper itself

Abstract

Upwelling and mud banks are two prominent oceanographic features in the coastal waters along the south west coast of India during the southwest monsoon (MON) season. The present study investigates the microbial diversity in the coastal environments of Alappuzha, India, where upwelling and mud banks co-exist. Water samples were collected from three stations, M1, M2, and M3, on a weekly basis to estimate the physico-chemical parameters and microbial abundance (MA). Presence of cold waters (< 26 °C) with high nitrate (6-8 µM) and low dissolved oxygen (5 µM) in the sub surface waters during monsoon (M) confirmed the presence of upwelling at all the three stations. Simultaneously, presence of unusually calm waters was seen at M2 alone during M indicating the formation of mud banks. The microbial diversity was determined from three stations, with distinct oceanographic conditions (M1: coastal reference station with only upwelling, M2: mud banks + upwelling, and M3: offshore reference station with only upwelling). The water samples were collected during two seasons, pre-monsoon (April) and M (July) and analysed using 16S rRNA-based Illumina high-throughput metagenomic sequencing. Proteobacteria was the most dominant phyla, followed by Bacteroidetes, Firmicutes, Cyanobacteria, Actinobacteria, and Verrucomicrobia in order, with variations in their relative abundance spatially and seasonally. Though the MA increased during M at all the stations, the relative abundance of most of the bacterial phyla except Proteobacteria decreased during M season. Interestingly, most of the sequences at M2 during mud banks were unclassified at the class level indicating the presence of unique microbial populations in this station. Prediction of metabolic activity revealed ammonia oxidation, nitrite reduction, sulphate reduction, xylan degradation, dehalogenation, chitin degradation, etc. as important functions. The metabolic activity throws light on the role of microbes in this environment thereby providing a system-scale perspective of microbial community interactions.

Indexed as

BiodiversityEnvironmental MicrobiologyMicrobiotaSoil MicrobiologyWater MicrobiologyComputational BiologyGeographyIndiaMetagenomeMetagenomicsPhylogenySeawaterArchaeaBacterial metagenomeMud banksUpwelling

Identifiers

PMID30937653
OpenAlexW2932550169

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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.