Evidence map›Paper›PMID 34089405›Full record

ArticleRice (New York, N.Y.)2021

Integration of Dual Stress Transcriptomes and Major QTLs from a Pair of Genotypes Contrasting for Drought and Chronic Nitrogen Starvation Identifies Key Stress Responsive Genes in Rice.

Amitha Mithra Sevanthi, Subodh Kumar Sinha, Sureshkumar V, Manju Rani, Manish Ranjan Saini, Sapna Kumari, Megha Kaushik, Chandra Prakash, Venkatesh K, G P Singh and 2 more

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
11.1field-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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Overexpression of a DUF740 family gene (Frontiers in plant science · 2022
    Article
  13. Article
  14. Genome-Wide Identification and Characterization ofFrontiers in plant science · 2022
    Article
  15. Article
  16. A genome wide transcriptional study ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  17. 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

12 authors at 3 institutions in 1 country.

Amitha Mithra Sevanthi *ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Subodh Kumar Sinha *ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Sureshkumar VICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Manju RaniICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Manish Ranjan SainiICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Sapna KumariICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Megha KaushikICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Chandra PrakashICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Venkatesh KICAR-Indian Institute of Wheat and Barley Research, Karnal, 132001, India.
G P SinghICAR-Indian Institute of Wheat and Barley Research, Karnal, 132001, India.
Trilochan MohapatraICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Pranab Kumar MandalICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India. pranabkumarmandal@gmail.com.ORCID http://orcid.org/0000-0001-9131-538X
National Research Centre on Plant Biotechnology · INIndian Institute of Wheat and Barley Research · INIndian Council of Agricultural Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report here the genome-wide changes resulting from low N (N-W+), low water (N+W-)) and dual stresses (N-W-) in root and shoot tissues of two rice genotypes, namely, IR 64 (IR64) and Nagina 22 (N22), and their association with the QTLs for nitrogen use efficiency. For all the root parameters, except for root length under N-W+, N22 performed better than IR64. Chlorophyll a, b and carotenoid content were higher in IR64 under N+W+ treatment and N-W+ and N+W- stresses; however, under dual stress, N22 had higher chlorophyll b content. While nitrite reductase, glutamate synthase (GS) and citrate synthase assays showed better specific activity in IR64, glutamate dehydrogenase showed better specific activity in N22 under dual stress (N-W-); the other N and C assimilating enzymes showed similar but low specific activities in both the genotypes. A total of 8926 differentially expressed genes (DEGs) were identified compared to optimal (N+W+) condition from across all treatments. While 1174, 698 and 903 DEGs in IR64 roots and 1197, 187 and 781 in N22 roots were identified, nearly double the number of DEGs were found in the shoot tissues; 3357, 1006 and 4005 in IR64 and 4004, 990 and 2143 in N22, under N-W+, N+W- and N-W- treatments, respectively. IR64 and N22 showed differential expression in 15 and 11 N-transporter genes respectively, under one or more stress treatments, out of which four showed differential expression also in N+W- condition. The negative regulators of N- stress, e.g., NIGT1, OsACTPK1 and OsBT were downregulated in IR64 while in N22, OsBT was not downregulated. Overall, N22 performed better under dual stress conditions owing to its better root architecture, chlorophyll and porphyrin synthesis and oxidative stress management. We identified 12 QTLs for seed and straw N content using 253 recombinant inbred lines derived from IR64 and N22 and a 5K SNP array. The QTL hotspot region on chromosome 6 comprised of 61 genes, of which, five were DEGs encoding for UDP-glucuronosyltransferase, serine threonine kinase, anthocyanidin 3-O-glucosyltransferase, and nitrate induced proteins. The DEGs, QTLs and candidate genes reported in this study can serve as a major resource for both rice improvement and functional biology.

Indexed as

Drought stressNitrogen stressNitrogen use efficiencyQTLs under nitrogen stressRiceRNA-seq

Identifiers

PMID34089405
PMCPMC8179884
OpenAlexW3111048309

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.