Evidence map›Paper›PMID 35061680›Full record

ArticlePloS one2022

Transcriptomic profiling suggests candidate molecular responses to waterlogging in cassava.

Min Cao, Linling Zheng, Junyi Li, Yiming Mao, Rui Zhang, Xiaolei Niu, Mengting Geng, Xiaofei Zhang, Wei Huang, Kai Luo and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
9.5field-weighted citation impact, top 2% 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, 34 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Transcriptomic, Physiological, and Metabolomic Response of an Alpine Plant,International journal of molecular sciences · 2023
    Article
  8. Article
  9. Review
  10. Physiological and sucrose metabolic responses to waterlogging stress in balloon flower (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023
    Article
  11. Transcriptomic responses of oil palm (Frontiers in plant science · 2023
    Article
  12. Article
  13. Review
  14. Article
  15. 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

11 authors at 2 institutions in 2 countries.

Min CaoKey Laboratory of Sustainable Utilization of Tropical Biological Resources of Hainan Province, Haikou, China.ORCID 0000-0001-5783-7029
Linling ZhengKey Laboratory of Sustainable Utilization of Tropical Biological Resources of Hainan Province, Haikou, China.
Junyi LiKey Laboratory of Sustainable Utilization of Tropical Biological Resources of Hainan Province, Haikou, China.
Yiming MaoKey Laboratory of Sustainable Utilization of Tropical Biological Resources of Hainan Province, Haikou, China.
Rui ZhangKey Laboratory of Sustainable Utilization of Tropical Biological Resources of Hainan Province, Haikou, China.
Xiaolei NiuKey Laboratory of Sustainable Utilization of Tropical Biological Resources of Hainan Province, Haikou, China.
Mengting GengKey Laboratory of Sustainable Utilization of Tropical Biological Resources of Hainan Province, Haikou, China.
Xiaofei ZhangAlliance of Bioversity International and the International Center for Tropical Agriculture (CIAT), Cali, Colombia.
Wei HuangHainan University Archives, Haikou, the People's Republic of China.
Kai LuoKey Laboratory of Sustainable Utilization of Tropical Biological Resources of Hainan Province, Haikou, China.
Yinhua ChenKey Laboratory of Sustainable Utilization of Tropical Biological Resources of Hainan Province, Haikou, China.
Hainan University · CNBioversity International · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to climate change impacts, waterlogging is a serious abiotic stress that affects crops, resulting in stunted growth and loss of productivity. Cassava (Manihot esculenta Grantz) is usually grown in areas that experience high amounts of rainfall; however, little research has been done on the waterlogging tolerance mechanism of this species. Therefore, we investigated the physiological responses of cassava plants to waterlogging stress and analyzed global gene transcription responses in the leaves and roots of waterlogged cassava plants. The results showed that waterlogging stress significantly decreased the leaf chlorophyll content, caused premature senescence, and increased the activities of superoxide dismutase (SOD), catalase (CAT) and peroxidase (POD) in the leaves and roots. In total, 2538 differentially expressed genes (DEGs) were detected in the leaves and 13364 in the roots, with 1523 genes shared between the two tissues. Comparative analysis revealed that the DEGs were related mainly to photosynthesis, amino metabolism, RNA transport and degradation. We also summarized the functions of the pathways that respond to waterlogging and are involved in photosynthesis, glycolysis and galactose metabolism. Additionally, many transcription factors (TFs), such as MYBs, AP2/ERFs, WRKYs and NACs, were identified, suggesting that they potentially function in the waterlogging response in cassava. The expression of 12 randomly selected genes evaluated via both quantitative real-time PCR (qRT-PCR) and RNA sequencing (RNA-seq) was highly correlated (R2 = 0.9077), validating the reliability of the RNA-seq results. The potential waterlogging stress-related transcripts identified in this study are representatives of candidate genes and molecular resources for further understanding the molecular mechanisms underlying the waterlogging response in cassava.

Indexed as

Gene Expression ProfilingGene Expression Regulation, PlantManihotPlant LeavesPlant RootsStress, PhysiologicalPhotosynthesisPlant ProteinsTranscription FactorsTranscriptomeWaterPlant ProteinsTranscription FactorsWater

Identifiers

PMID35061680
PMCPMC8782352
OpenAlexW4207067361

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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.