Evidence map›Paper›PMID 36243857›Full record

ArticleRice (New York, N.Y.)2022

Mapping of Candidate Genes in Response to Low Nitrogen in Rice Seedlings.

Jia Li, Wei Xin, Weiping Wang, Shijiao Zhao, Lu Xu, Xingdong Jiang, Yuxuan Duan, Hongliang Zheng, Luomiao Yang, Hualong Liu and 3 more

Abstract read
In one paragraph

Article in Rice (New York, N.Y.), 2022. 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
–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

9 citing papers in PubMed.

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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

13 authors.

Jia Li *College of Agriculture, Northeast Agricultural University/Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education, Harbin, 150030, Heilongjiang Province, People's Republic of China.
Wei Xin *College of Agriculture, Northeast Agricultural University/Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education, Harbin, 150030, Heilongjiang Province, People's Republic of China.
Weiping WangCollege of Agriculture, Northeast Agricultural University/Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education, Harbin, 150030, Heilongjiang Province, People's Republic of China.
Shijiao ZhaoCollege of Agriculture, Northeast Agricultural University/Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education, Harbin, 150030, Heilongjiang Province, People's Republic of China.
Lu XuCollege of Agriculture, Northeast Agricultural University/Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education, Harbin, 150030, Heilongjiang Province, People's Republic of China.
Xingdong JiangCollege of Agriculture, Northeast Agricultural University/Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education, Harbin, 150030, Heilongjiang Province, People's Republic of China.
Yuxuan DuanCollege of Agriculture, Northeast Agricultural University/Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education, Harbin, 150030, Heilongjiang Province, People's Republic of China.
Hongliang ZhengCollege of Agriculture, Northeast Agricultural University/Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education, Harbin, 150030, Heilongjiang Province, People's Republic of China.
Luomiao YangCollege of Agriculture, Northeast Agricultural University/Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education, Harbin, 150030, Heilongjiang Province, People's Republic of China.
Hualong LiuCollege of Agriculture, Northeast Agricultural University/Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education, Harbin, 150030, Heilongjiang Province, People's Republic of China.
Yan JiaCollege of Agriculture, Northeast Agricultural University/Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education, Harbin, 150030, Heilongjiang Province, People's Republic of China.
Detang ZouCollege of Agriculture, Northeast Agricultural University/Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education, Harbin, 150030, Heilongjiang Province, People's Republic of China. zoudtneau@126.com.
Jingguo WangCollege of Agriculture, Northeast Agricultural University/Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education, Harbin, 150030, Heilongjiang Province, People's Republic of China. wangjg@neau.edu.cn.

Funding

Heilongjiang Province postdoctoral research startup fund LBH-Q20066Key Research & Development Program of Heilongjiang Province GA21B002National Natural Science Foundation of China 32101748
6 · The paper itself

Abstract

Nitrogen is not only a macronutrient essential for crop growth and development, but also one of the most critical nutrients in farmland ecosystem. Insufficient nitrogen supply will lead to crop yield reduction, while excessive application of nitrogen fertilizer will cause agricultural and eco-environment damage. Therefore, mining low-nitrogen tolerant rice genes and improving nitrogen use efficiency are of great significance to the sustainable development of agriculture. This study was conducted by Genome-wide association study on a basis of two root morphological traits (root length and root diameter) and 788,396 SNPs of a natural population of 295 rice varieties. The transcriptome of low-nitrogen tolerant variety (Longjing 31) and low-nitrogen sensitive variety (Songjing 10) were sequenced between low and high nitrogen treatments. A total of 35 QTLs containing 493 genes were mapped. 3085 differential expressed genes were identified. Among these 493 genes, 174 genes showed different haplotype patterns. There were significant phenotype differences among different haplotypes of 58 genes with haplotype differences. These 58 genes were hypothesized as candidate genes for low nitrogen tolerance related to root morphology. Finally, six genes (Os07g0471300, Os11g0230400, Os11g0229300, Os11g0229400, Os11g0618300 and Os11g0229333) which expressed differentially in Longjing 31 were defined as more valuable candidate genes for low-nitrogen tolerance. The results revealed the response characteristics of rice to low-nitrogen, and provided insights into regulatory mechanisms of rice to nitrogen deficiency.

Indexed as

Genome-wide association studyLow-nitrogen toleranceRiceRNA-seq

Identifiers

PMID36243857
PMCPMC9569405

What OpenQuestion holds

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Registered trials

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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.