Evidence map›Paper›PMID 34767154›Full record

ArticleGenes & genomics2022

Identification of yield-related genes through genome-wide association: case study of weeping forsythia, an emerging medicinal crop.

Yong Li, Qiong Wu, Hong-Li Liu, Nan-Cai Pei, Yan-Xia He, Jine Quan

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Article in Genes & genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Yong LiInnovation Platform of Molecular Biology, College of Landscape and Art, Henan Agricultural University, Zhengzhou, China. liyongrui1@126.com.
Qiong WuInnovation Platform of Molecular Biology, College of Landscape and Art, Henan Agricultural University, Zhengzhou, China.
Hong-Li LiuInnovation Platform of Molecular Biology, College of Landscape and Art, Henan Agricultural University, Zhengzhou, China.
Nan-Cai PeiResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, China.
Yan-Xia HeSchool of Life Sciences, Henan University, Kaifeng, China.
Jine QuanCollege of Forestry, Henan Agricultural University, Zhengzhou, China. 857453508@qq.com.
Henan Agricultural University · CNHenan University · CNResearch Institute of Tropical Forestry · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageThis study identified candidate genes related to fruit yield for an emerging medicinal crop, weeping forsythia.

backgroundThe genetic basis of crop yield is an agricultural research hotspot. Identifying the genes related to yield traits is the key to increase the yield. Weeping forsythia is an emerging medicinal crop that currently lacks excellent varieties. The genes related to fruit yield in weeping forsythia have not been identified.

objectiveThus, we aimed to screen the candidate genes related to fruit yield of weeping forsythia by using genome-wide association analysis.

methodsHere, 60 samples from the same field and source of weeping forsythia were collected to identify its yield-related candidate genes. Association analysis was performed on the variant loci and the traits related to yield, i.e., fruit length, width, thickness, and weight.

resultsResults from admixture, neighbor-joining, and kinship matrix analyses supported the non-significant genetic differentiation of these samples. Significant association was found between 2 variant loci and fruit length, 8 loci and fruit width, 24 loci and fruit thickness, and 13 loci and fruit weight. Further search on the 20 kb up/downstream of these variant loci revealed 1 gene related to fruit length, 16 genes related to fruit width, 12 genes related to fruit thickness, and 13 genes related to fruit weight. Among which, 4 genes, namely, WRKY transcription factor 35, salicylic acid-binding protein, auxin response factor 6, and alpha-mannosidase were highly related to the fruit development of weeping forsythia.

conclusionThis study identify four candidate genes related to fruit development, which will provide useful information for the subsequent molecular-assisted and genetic breeding of weeping forsythia.

Indexed as

ForsythiaFruitGenome-Wide Association StudyPhenotypePlant BreedingForsythia suspensaFruit shapeFruit weightGenome-wide association analysisGenotyping by sequencing

Identifiers

PMID34767154
PMCPMC8586636
OpenAlexW3211553740

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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.