Evidence map›Paper›PMID 31824669›Full record

ReviewF1000Research2019

Functional genomic approaches to improve crop plant heat stress tolerance.

Baljeet Singh, Neha Salaria, Kajal Thakur, Sarvjeet Kukreja, Shristy Gautam, Umesh Goutam

Abstract readReview
In one paragraph

Review in F1000Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Meta-analysis ofFrontiers in plant science · 2023
    Article
  8. Review
  9. Article
  10. Comprehensive Analysis of theInternational journal of molecular sciences · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Hotter, drier, CRISPR: the latest edit on climate change.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Review
  19. Review
  20. 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

6 authors.

Baljeet SinghMolecular Biology and Genetic Engineering, Lovely Professional University, Phagwara, Punjab, 144411, India.ORCID 0000-0001-7981-6624
Neha SalariaMolecular Biology and Genetic Engineering, Lovely Professional University, Phagwara, Punjab, 144411, India.
Kajal ThakurMolecular Biology and Genetic Engineering, Lovely Professional University, Phagwara, Punjab, 144411, India.
Sarvjeet KukrejaSchool of Agriculture, Lovely Professional University, Phagwara, Jalandhar, 144411, India.
Shristy GautamMolecular Biology and Genetic Engineering, Lovely Professional University, Phagwara, Punjab, 144411, India.
Umesh GoutamMolecular Biology and Genetic Engineering, Lovely Professional University, Phagwara, Punjab, 144411, India.ORCID 0000-0002-8754-7986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heat stress as a yield limiting issue has become a major threat for food security as global warming progresses. Being sessile, plants cannot avoid heat stress. They respond to heat stress by activating complex molecular networks, such as signal transduction, metabolite production and expressions of heat stress-associated genes. Some plants have developed an intricate signalling network to respond and adapt it. Heat stress tolerance is a polygenic trait, which is regulated by various genes, transcriptional factors, proteins and hormones. Therefore, to improve heat stress tolerance, a sound knowledge of various mechanisms involved in the response to heat stress is required. The classical breeding methods employed to enhance heat stress tolerance has had limited success. In this era of genomics, next generation sequencing techniques, availability of genome sequences and advanced biotechnological tools open several windows of opportunities to improve heat stress tolerance in crop plants. This review discusses the potential of various functional genomic approaches, such as genome wide association studies, microarray, and suppression subtractive hybridization, in the process of discovering novel genes related to heat stress, and their functional validation using both reverse and forward genetic approaches. This review also discusses how these functionally validated genes can be used to improve heat stress tolerance through plant breeding, transgenics and genome editing approaches.

Indexed as

Crops, AgriculturalGene EditingGenome-Wide Association StudyGenomicsHeat-Shock ResponseCRISPRFunctional genomicsGWASHeat stressT-DNAVIGS

Identifiers

PMID31824669
PMCPMC6896246

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.