Evidence map›Paper›PMID 32112146›Full record

ArticleRice (New York, N.Y.)2020

Natural Sequence Variations and Combinations of GNP1 and NAL1 Determine the Grain Number per Panicle in Rice.

Yun Wang, Laiyuan Zhai, Kai Chen, Congcong Shen, Yuntao Liang, Chunchao Wang, Xiuqin Zhao, Shu Wang, Jianlong Xu

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.3field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

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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

13 citing papers in PubMed, 34 citations in OpenAlex.

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  8. Characterization ofMolecular breeding : new strategies in plant improvement · 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

9 authors at 4 institutions in 1 country.

Yun WangRice Research Institute, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China.
Laiyuan ZhaiRice Research Institute, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China.
Kai ChenShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, Guangdong, China.
Congcong ShenShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, Guangdong, China.
Yuntao LiangRice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, Guangxi, China.
Chunchao WangInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xiuqin ZhaoInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Shu WangRice Research Institute, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China.
Jianlong XuInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. xujianlong@caas.cn.ORCID http://orcid.org/0000-0001-6623-1256
Agricultural Genomics Institute at Shenzhen · CNShenyang Agricultural University · CNChinese Academy of Agricultural Sciences · CNRice Research Institute · CN

Funding

Agricultural Science and Technology Innovation Program and the Cooperation and Innovation Mission CAAS-ZDXT2018001National Key Research and Development Program of China 2016YFD0100301National Natural Science Foundation of China 31301285National Natural Science Foundation of China 31671602
6 · The paper itself

Abstract

backgroundThe grain number per panicle (GNP), which is one of three grain yield components, is an important trait for the genetic improvement of rice. Although the NAL1 and GNP1 genes regulating the rice GNP and grain yield have been cloned, their allelic diversity, functional differences in rice germplasms, and effects of their combination on GNP and grain yield remain unclear.

resultsBased on DNA sequences of these two genes in 198 cultivated rice (Oryza sativa) and 8-10 wild rice (Oryza rufipogon) germplasms, 16 and 14 haplotypes were identified for NAL1 and GNP1, respectively. The NAL1 gene had the strongest effects on GNP in indica (xian) and japonica (geng) subpopulations. In contrast, GNP1 had no significant effects in the geng subpopulation and was rare in the xian background, in which the superior GNP1 allele (GNP1-6) was detected in only 4.0% of the 198 germplasms. Compared with the transgenic lines with GNP1 or NAL1, the transgenic lines with both genes had a higher GNP (15.5%-25.4% and 11.6%-15.9% higher, respectively) and grain yield (5.7%-9.0% and 8.3%-12.3% higher, respectively) across 3 years. The two genes combined in the introgression lines in Lemont background resulted in especially favorable effects on the GNP.

conclusionsOur results indicated that the GNP1 and NAL1 exhibited obvious differentiation and their combinations can significantly increase the grain yield in geng rice cultivars. These observations provide insights into the molecular basis of the GNP and may be useful for rice breeding of high yield potential by pyramiding GNP1 and NAL1.

Indexed as

GNP1NAL1Nucleotide diversityPhenotypic variationPyramiding

Identifiers

PMID32112146
PMCPMC7048901
OpenAlexW3012563944

What OpenQuestion holds

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LicenceCC BY
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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.