Evidence map›Paper›PMID 37902192›Full record

ArticlePlant biotechnology journal2024

Gene pyramiding for boosted plant growth and broad abiotic stress tolerance.

Guiqin Zhao, Yu Liu, Lei Li, Rui Che, Megan Douglass, Katherine Benza, Mitchell Angove, Kristopher Luo, Qian Hu, Xiaotong Chen and 4 more

Open access · goldAbstract read
In one paragraph

Article in Plant biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

14 authors at 5 institutions in 2 countries.

Guiqin Zhao *Department of Genetics and Biochemistry, Clemson University, Clemson, SC, USA.
Yu Liu *Department of Genetics and Biochemistry, Clemson University, Clemson, SC, USA.
Lei LiDepartment of Genetics and Biochemistry, Clemson University, Clemson, SC, USA.
Rui CheDepartment of Genetics and Biochemistry, Clemson University, Clemson, SC, USA.
Megan DouglassDepartment of Genetics and Biochemistry, Clemson University, Clemson, SC, USA.
Katherine BenzaDepartment of Genetics and Biochemistry, Clemson University, Clemson, SC, USA.
Mitchell AngoveDepartment of Genetics and Biochemistry, Clemson University, Clemson, SC, USA.
Kristopher LuoDepartment of Genetics and Biochemistry, Clemson University, Clemson, SC, USA.
Qian HuDepartment of Genetics and Biochemistry, Clemson University, Clemson, SC, USA.
Xiaotong ChenDepartment of Genetics and Biochemistry, Clemson University, Clemson, SC, USA.
Charles HenryDepartment of Genetics and Biochemistry, Clemson University, Clemson, SC, USA.
Zhigang LiDepartment of Genetics and Biochemistry, Clemson University, Clemson, SC, USA.
Guogui NingKey laboratory of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, Wuhan, China.ORCID 0000-0001-8891-5229
Hong LuoDepartment of Genetics and Biochemistry, Clemson University, Clemson, SC, USA.ORCID 0000-0001-9223-1786
Clemson University · USGansu Agricultural University · CNHenan Agricultural University · CNHuazhong Agricultural University · CNNortheast Forestry University · CN

Funding

USDA National Institute of Food and Agriculture Biotechnology Risk Assessment Grant Program 2019-33522-30102USDA National Institute of Food and Agriculture Biotechnology Risk Assessment Grant Program 2021-33522-35342
6 · The paper itself

Abstract

Abiotic stresses such as salinity, heat and drought seriously impair plant growth and development, causing a significant loss in crop yield and ornamental value. Biotechnology approaches manipulating specific genes prove to be effective strategies in crop trait modification. The Arabidopsis vacuolar pyrophosphatase gene AVP1, the rice SUMO E3 ligase gene OsSIZ1 and the cyanobacterium flavodoxin gene Fld have previously been implicated in regulating plant stress responses and conferring enhanced tolerance to different abiotic stresses when individually overexpressed in various plant species. We have explored the feasibility of combining multiple favourable traits brought by individual genes to acquire superior plant performance. To this end, we have simultaneously introduced AVP1, OsSIZ1 and Fld in creeping bentgrass. Transgenic (TG) plants overexpressing these three genes performed significantly better than wild type controls and the TGs expressing individual genes under both normal and various abiotic stress conditions, exhibited significantly enhanced plant growth and tolerance to drought, salinity and heat stresses as well as nitrogen and phosphate starvation, which were associated with altered physiological and biochemical characteristics and delicately fine-tuned expression of genes involved in plant stress responses. Our results suggest that AVP1, OsSIZ1 and Fld function synergistically to regulate plant development and plant stress response, leading to superior overall performance under both normal and adverse environments. The information obtained provides new insights into gene stacking as an effective approach for plant genetic engineering. A similar strategy can be extended for the use of other beneficial genes in various crop species for trait modifications, enhancing agricultural production.

Indexed as

ArabidopsisArabidopsis ProteinsDroughtsGene Expression Regulation, PlantPlant DevelopmentPlant ProteinsPlants, Genetically ModifiedStress, PhysiologicalArabidopsis ProteinsPlant Proteinsabiotic stressdrought tolerancegene pyramidingperennial grassessalt tolerancesynergistic effect

Identifiers

PMID37902192
PMCPMC10893947
OpenAlexW4388014070

What Socratic 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 Socratic graph.