Evidence map›Paper›PMID 36376791›Full record

ArticleBMC plant biology2022

Evolution of different rice ecotypes and genetic basis of flooding adaptability in Deepwater rice by GWAS.

Xueqiang Wang, Yan Zhao, Conghui Jiang, Libing Wang, Lei Chen, Fengmei Li, Yanhong Zhang, Yinghua Pan, Tianzhen Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 11 citations in OpenAlex.

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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 5 institutions in 1 country.

Xueqiang WangAgronomy Department, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Yan ZhaoState Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an, Shandong, 271018, People's Republic of China.
Conghui JiangShandong Rice Research Institute, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
Libing WangHainan Yazhou Bay Seed Laboratory, Sanya, Hainan, 572025, People's Republic of China.
Lei ChenRice Research Institute, Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Nanning, 530007, Guangxi, China.
Fengmei LiHainan Yazhou Bay Seed Laboratory, Sanya, Hainan, 572025, People's Republic of China.
Yanhong ZhangInstitute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences, Urumqi, 830091, China.
Yinghua PanRice Research Institute, Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding, Nanning, 530007, Guangxi, China. panyinghua2008@163.com.
Tianzhen ZhangAgronomy Department, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, People's Republic of China. cotton@zju.edu.cn.
Rice Research Institute · CNZhejiang University · CNGuangxi Academy of Agricultural Science · CNShandong Agricultural University · CNXinjiang Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRice is the world's second largest food crop and accelerated global climate change due to the intensification of human activities has a huge impact on rice. Research on the evolution of different rice ecotypes is essential for enhancing the adaptation of rice to the unpredictable environments.

resultsThe sequencing data of 868 cultivated and 140 wild rice accessions were used to study the domestication history and signatures of adaptation in the distinct rice ecotypes genome. The different populations had formed distinct rice ecotypes by phylogenetic analyses and were domesticated independently in the two subspecies of rice, especially deepwater and upland rice. The domestication history of distinct rice ecotypes was confirmed and the four predicted admixture events mainly involved gene flow between wild rice and cultivated rice. Importantly, we identified numerous selective sweeps that have occurred during the domestication of different rice ecotypes and one candidate gene (LOC_Os11g21804) for deepwater based on transcriptomic evidence. In addition, many regions of genomic differentiation between the different rice ecotypes were identified. Furthermore, the main reason for the increase in genetic diversity in the ecotypes of xian (indica) rice was the high proportion of alternative allele frequency in new mutations. Genome-wide association analysis revealed 28 QTLs associated with flood tolerance which contained 12 related cloned genes, and 20 candidate genes within 13 deepwater QTLs were identified by transcriptomic and haplotype analyses.

conclusionsThese results enhanced our understanding of domestication history in different rice ecotypes and provided valuable insights for genetic improvement and breeding of rice in the current changing environments.

Indexed as

OryzaEcotypeFloodsGenetic VariationGenome-Wide Association StudyHumansPhylogenyPlant BreedingDeepwater riceEvolutionGenomic analysisGWASRice ecotype

Identifiers

PMID36376791
PMCPMC9661789
OpenAlexW4308975375

What OpenQuestion holds

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LicenceCC BY
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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.