Evidence map›Paper›PMID 35643190›Full record

ArticleGenomics, proteomics & bioinformatics2022

Genome Assembly and Population Resequencing Reveal the Geographical Divergence of Shanmei (Rubus corchorifolius).

Yinqing Yang, Kang Zhang, Ya Xiao, Lingkui Zhang, Yile Huang, Xing Li, Shumin Chen, Yansong Peng, Shuhua Yang, Yongbo Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

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

6 citing papers in PubMed, 14 citations in OpenAlex.

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  5. Metabolites · 2023
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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

11 authors at 3 institutions in 1 country.

Yinqing YangInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China.
Kang ZhangInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China.
Ya XiaoInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China; Biotechnology Research Center, Xiangxi Academy of Agricultural Sciences, Jishou 416000, China.
Lingkui ZhangInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China.
Yile HuangInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China.
Xing LiInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China.
Shumin ChenInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China.
Yansong PengLushan Botanical Garden, Chinese Academy of Sciences, Jiujiang 332900, China.
Shuhua YangInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China. Electronic address: yangshuhua@caas.cn.
Yongbo LiuState Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. Electronic address: liuyb@craes.org.cn.
Feng ChengInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China. Electronic address: chengfeng@caas.cn.
Institute of Vegetables and Flowers · CNChinese Research Academy of Environmental Sciences · CNLushan Botanical Garden · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rubus corchorifolius (Shanmei or mountain berry, 2n = 14) is widely distributed in China, and its fruits possess high nutritional and medicinal values. Here, we reported a high-quality chromosome-scale genome assembly of Shanmei, with contig size of 215.69 Mb and 26,696 genes. Genome comparison among Rosaceae species showed that Shanmei and Fupenzi (Rubus chingii Hu) were most closely related, followed by blackberry (Rubus occidentalis), and that environmental adaptation-related genes were expanded in the Shanmei genome. Further resequencing of 101 samples of Shanmei collected from four regions in the provinces of Yunnan, Hunan, Jiangxi, and Sichuan in China revealed that among these samples, the Hunan population of Shanmei possessed the highest diversity and represented the more ancestral population. Moreover, the Yunnan population underwent strong selection based on the nucleotide diversity, linkage disequilibrium, and historical effective population size analyses. Furthermore, genes from candidate genomic regions that showed strong divergence were significantly enriched in the flavonoid biosynthesis and plant hormone signal transduction pathways, indicating the genetic basis of adaptation of Shanmei to the local environment. The high-quality assembled genome and the variome dataset of Shanmei provide valuable resources for breeding applications and for elucidating the genome evolution and ecological adaptation of Rubus species.

Indexed as

RubusChinaGenomicsLinkage DisequilibriumSequence Analysis, DNADivergenceGenome assemblyGenome evolutionResequencingRubus corchorifolius

Identifiers

PMID35643190
PMCPMC10225494
OpenAlexW4281480525

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.