Evidence map›Paper›PMID 19821052›Full record

ArticleMolecular biology reports2010

Identification of genes involved in stem rust resistance from wheat mutant D51 with the cDNA-AFLP technique.

Jing Yin, Guangjin Wang, Jialei Xiao, Fengming Ma, Hongji Zhang, Yan Sun, Yanling Diao, Jinghua Huang, Qiang Guo, Dongjun Liu

Abstract read
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Article in Molecular biology reports, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.1field-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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. The Evolution and Functional Roles ofInternational journal of molecular sciences · 2022
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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

10 authors at 3 institutions in 1 country.

Jing YinCollege of Life Science, Northeast Forestry University, 150040 Harbin, China. yinjingjialei@yahoo.com.cn
Guangjin Wang
Jialei Xiao
Fengming Ma
Hongji Zhang
Yan Sun
Yanling Diao
Jinghua Huang
Qiang Guo
Dongjun Liu
Heilongjiang Provincial Academy of Agricultural Sciences · CNNortheast Agricultural University · CNNortheast Forestry University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat (Triticum aestivum L.) stem rust caused by Puccinia graminis f. sp. tritici is one of the main diseases of wheat worldwide. Wheat mutant line D51, which was derived from the highly susceptible cultivar L6239, shows resistance to the prevailing races 21C3CPH, 21C3CKH, and 21C3CTR of P. graminis f. sp. tritici in China. In this study, we used the cDNA-AFLP technology to identify the genes that are likely involved in the stem rust resistance. EcoRI/MseI selective primers were used to generate approximately 1920 DNA fragments. Seventy five differentially transcribed fragments (3.91%) were identified by comparing the samples of 21C3CPH infected D51 with infected L6239 or uninfected D51. Eleven amplified cDNA fragments were sequenced. Eight showed significant similarity to known genes, including TaLr1 (leaf rust resistance gene), wlm24 (wheat powdery mildew resistance gene), stress response genes and ESTs of environment stress of tall fescue. These identified genes are involved in plant defense response and stem rust resistance and need further research to determine their usefulness in breeding new resistance cultivars.

Indexed as

Amplified Fragment Length Polymorphism AnalysisCloning, MolecularDNA, ComplementaryGene LibraryGenes, PlantImmunity, InnatePlant DiseasesPlants, Genetically ModifiedPlant StemsSequence Analysis, DNATriticumDNA, Complementary

Identifiers

PMID19821052
OpenAlexW2084165749

What OpenQuestion holds

Textmetadata
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.