Evidence map›Paper›PMID 37368898›Full record

SynthesisPloS one2023

A comprehensive analysis of transcriptomic data for comparison of plants with different photosynthetic pathways in response to drought stress.

Shima Karami, Behrouz Shiran, Rudabeh Ravash, Hossein Fallahi

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Shima KaramiDepartment of Biotechnology and Plant Breeding, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran.
Behrouz ShiranDepartment of Biotechnology and Plant Breeding, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran.ORCID 0000-0001-9997-4718
Rudabeh RavashDepartment of Biotechnology and Plant Breeding, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran.
Hossein FallahiDepartment of Biology, Faculty of Sciences, Razi University, Kermanshah, Iran.
Shahrekord University · IRRazi University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main factor leading to a decrease in crop productivity is abiotic stresses, particularly drought. Plants with C4 and CAM photosynthesis are better adapted to drought-prone areas than C3 plants. Therefore, it is beneficial to compare the stress response of plants with different photosynthetic pathways. Since most crops are C3 and C4 plants, this study focused on conducting an RNA-seq meta-analysis to investigate and compare how C3 and C4 plants respond to drought stress at the gene expression level in their leaves. Additionally, the accuracy of the meta-analysis results was confirmed with RT-qPCR. Based on the functional enrichment and network analysis, hub genes related to ribosomal proteins and photosynthesis were found to play a potential role in stress response. Moreover, our findings suggest that the low abundant amino acid degradation pathway, possibly through providing ATP source for the TCA cycle, in both groups of plants and the activation of the OPPP pathway in C4 plants, through providing the electron source required by this plant, can help to improve drought stress tolerance.

Indexed as

DroughtsTranscriptomeCrops, AgriculturalPhotosynthesisPlant Leaves

Identifiers

PMID37368898
PMCPMC10298789
OpenAlexW4382237538

What OpenQuestion holds

Textmetadata
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.