Evidence map›Paper›PMID 31993077›Full record

ArticleEvolutionary applications2020

Genomic analyses reveal selection footprints in rice landraces grown under on-farm conservation conditions during a short-term period of domestication.

Di Cui, Hongfeng Lu, Cuifeng Tang, Jinmei Li, Xinxiang A, Tengqiong Yu, Xiaoding Ma, Enlai Zhang, Yanjie Wang, Guilan Cao and 7 more

Abstract read
In one paragraph

Article in Evolutionary applications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Kam Sweet Rice (Frontiers in plant science · 2022
    Article
  8. Article
  9. Article
  10. 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

17 authors.

Di CuiNational Key Facility for Crop Gene Resources and Genetic Improvement Institute of Crop Sciences Chinese Academy of Agricultural Sciences Beijing China.
Hongfeng LuNovogene Bioinformatics Institute Beijing China.
Cuifeng TangInstitute of Biotech and Germplasm Resources Yunnan Academy of Agricultural Sciences Kunming Yunnan China.
Jinmei LiNational Key Facility for Crop Gene Resources and Genetic Improvement Institute of Crop Sciences Chinese Academy of Agricultural Sciences Beijing China.
Xinxiang AInstitute of Biotech and Germplasm Resources Yunnan Academy of Agricultural Sciences Kunming Yunnan China.
Tengqiong YuInstitute of Biotech and Germplasm Resources Yunnan Academy of Agricultural Sciences Kunming Yunnan China.
Xiaoding MaNational Key Facility for Crop Gene Resources and Genetic Improvement Institute of Crop Sciences Chinese Academy of Agricultural Sciences Beijing China.
Enlai ZhangInstitute of Biotech and Germplasm Resources Yunnan Academy of Agricultural Sciences Kunming Yunnan China.
Yanjie WangNational Key Facility for Crop Gene Resources and Genetic Improvement Institute of Crop Sciences Chinese Academy of Agricultural Sciences Beijing China.
Guilan CaoNational Key Facility for Crop Gene Resources and Genetic Improvement Institute of Crop Sciences Chinese Academy of Agricultural Sciences Beijing China.
Furong XuInstitute of Biotech and Germplasm Resources Yunnan Academy of Agricultural Sciences Kunming Yunnan China.
Yongli QiaoNational Key Facility for Crop Gene Resources and Genetic Improvement Institute of Crop Sciences Chinese Academy of Agricultural Sciences Beijing China.
Luyuan DaiInstitute of Biotech and Germplasm Resources Yunnan Academy of Agricultural Sciences Kunming Yunnan China.
Ruiqiang LiNovogene Bioinformatics Institute Beijing China.
Shilin TianNovogene Bioinformatics Institute Beijing China.
Hee-Jong KohDepartment of Plant Science, Plant Genomics and Breeding Institute of Agriculture and Life Science Seoul National University Seoul Korea.
Longzhi HanNational Key Facility for Crop Gene Resources and Genetic Improvement Institute of Crop Sciences Chinese Academy of Agricultural Sciences Beijing China.ORCID https://orcid.org/0000-0002-8567-4463

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional rice landraces grown under on-farm conservation conditions by indigenous farmers are extremely important for future crop improvement. However, little is known about how the natural selection and agriculture practices of indigenous farmers interact to shape and change the population genetics of rice landraces grown under on-farm conservation conditions during the domestication. In this study, we sequenced DNA from 108 core on-farm conserved rice landraces collected from the ethnic minority regions of Yunnan, China, including 56 accessions collected in 1980 and 52 accessions collected in 2007 and obtained 2,771,245 of credible SNPs. Our findings show that most genetic diversity was retained during the 27 years of domestication by on-farm conservation. However, SNPs with marked allele frequency differences were found in some genome regions, particularly enriched in genic regions, indicating changes in genic regions may have played a much more prominent role in the short-term domestication of 27 years. We identified 186 and 183 potential selective-sweep regions in the

Indexed as

genetic diversityon‐farm conservationrice landracesselection sweepshort‐term domestication

Identifiers

PMID31993077
PMCPMC6976955

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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.