Evidence map›Paper›PMID 34210987›Full record

ArticleScientific data2021

Eight soybean reference genome resources from varying latitudes and agronomic traits.

Jeffrey Shih-Chieh Chu, Bo Peng, Kuanqiang Tang, Xingxing Yi, Huangkai Zhou, Huan Wang, Guang Li, Jiantian Leng, Nansheng Chen, Xianzhong Feng

Abstract readDataset
In one paragraph

Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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

10 authors.

Jeffrey Shih-Chieh ChuNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Bo PengWuhan Frasergen Bioinformatics Inc., East Lake High-Tech Zone, Wuhan, China.
Kuanqiang TangNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Xingxing YiWuhan Frasergen Bioinformatics Inc., East Lake High-Tech Zone, Wuhan, China.
Huangkai ZhouNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Huan WangWuhan Frasergen Bioinformatics Inc., East Lake High-Tech Zone, Wuhan, China.
Guang LiNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Jiantian LengNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Nansheng ChenInstitute of Oceanology, Chinese Academy of Sciences, Qingdao, China. chenn@qdio.ac.cn.
Xianzhong FengNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China. fengxianzhong@iga.ac.cn.ORCID 0000-0002-7129-3731

Funding

Chinese Academy of Sciences Key Project (CAS Key Project) 593-ZDRW-ZS-2019-2-02Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2016YFD0101900
6 · The paper itself

Abstract

Comparative analysis of multiple reference genomes representing diverse genetic backgrounds is critical for understanding the role of key alleles important in domestication and genetic breeding of important crops such as soybean. To enrich the genetic resources for soybean, we describe the generation, technical assessment, and preliminary genomic variation analysis of eight de novo reference-grade soybean genome assemblies from wild and cultivated accessions. These resources represent soybeans cultured at different latitudes and exhibiting different agronomical traits. Of these eight soybeans, five are from new accessions that have not been sequenced before. We demonstrate the usage of these genomes to identify small and large genomic variations affecting known genes as well as screening for genic PAV regions for identifying candidates for further functional studies.

Indexed as

DomesticationGenome, PlantPlant BreedingAllelesChromosome MappingGenetic VariationGlycine maxPhenotypeReference Values

Identifiers

PMID34210987
PMCPMC8249447

What OpenQuestion holds

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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.