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本文引用的文献

1
eQTLs are key players in the integration of genomic and transcriptomic data for phenotype prediction.eQTLs 是整合基因组和转录组数据进行表型预测的关键因素。
BMC Genomics. 2022 Jun 28;23(1):476. doi: 10.1186/s12864-022-08690-7.
2
Gene expression predictions and networks in natural populations supports the omnigenic theory.自然种群中的基因表达预测和网络支持多效基因理论。
BMC Genomics. 2020 Jun 22;21(1):416. doi: 10.1186/s12864-020-06809-2.
3
Accuracy of RNAseq based SNP discovery and genotyping in Populusnigra.基于RNA测序的黑杨单核苷酸多态性发现与基因分型的准确性
BMC Genomics. 2018 Dec 12;19(1):909. doi: 10.1186/s12864-018-5239-z.
4
New resources for genetic studies in Populus nigra: genome-wide SNP discovery and development of a 12k Infinium array.黑杨遗传研究的新资源:全基因组单核苷酸多态性发现及12k Infinium芯片的开发
Mol Ecol Resour. 2016 Jul;16(4):1023-36. doi: 10.1111/1755-0998.12513. Epub 2016 Mar 24.
5
Genetic variation for leaf morphology, leaf structure and leaf carbon isotope discrimination in European populations of black poplar (Populus nigra L.).欧洲黑杨(Populus nigra L.)种群中叶形态、叶结构和叶碳同位素判别率的遗传变异。
Tree Physiol. 2015 Aug;35(8):850-63. doi: 10.1093/treephys/tpv056. Epub 2015 Jul 29.
6
A new approach for efficient genotype imputation using information from relatives.一种利用亲属信息进行高效基因型插补的新方法。
BMC Genomics. 2014 Jun 17;15(1):478. doi: 10.1186/1471-2164-15-478.
7
Trimmomatic: a flexible trimmer for Illumina sequence data.Trimmomatic:一款适用于 Illumina 测序数据的灵活修剪工具。
Bioinformatics. 2014 Aug 1;30(15):2114-20. doi: 10.1093/bioinformatics/btu170. Epub 2014 Apr 1.
8
A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data.一种用于从测序数据中进行 SNP 调用、突变发现、关联映射和群体遗传参数估计的统计框架。
Bioinformatics. 2011 Nov 1;27(21):2987-93. doi: 10.1093/bioinformatics/btr509. Epub 2011 Sep 8.
9
The variant call format and VCFtools.变异调用格式和 VCFtools。
Bioinformatics. 2011 Aug 1;27(15):2156-8. doi: 10.1093/bioinformatics/btr330. Epub 2011 Jun 7.
10
A framework for variation discovery and genotyping using next-generation DNA sequencing data.利用下一代 DNA 测序数据进行变异发现和基因分型的框架。
Nat Genet. 2011 May;43(5):491-8. doi: 10.1038/ng.806. Epub 2011 Apr 10.

基于 RNAseq 的黑杨关联群体变异数据集。

RNAseq based variant dataset in a black poplar association panel.

机构信息

INRAE, ONF, BioForA, 45075, Orléans, France.

Université Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), 91190, Gif sur Yvette, France.

出版信息

BMC Res Notes. 2023 Oct 2;16(1):248. doi: 10.1186/s13104-023-06521-w.

DOI:10.1186/s13104-023-06521-w
PMID:37784104
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10546633/
Abstract

OBJECTIVE

Black poplar (Populus nigra L.) is a species native to Eurasia with a wide distribution area. It is an ecologically important species from riparian ecosystems, that is used as a parent of interspecific (P. deltoides x P. nigra) cultivated poplar hybrids. Variant detection from transcriptomics sequences of 241 P. nigra individuals, sampled in natural populations from 11 river catchments (in four European countries) is described here. These data provide new valuable resources for population structure analysis, population genomics and genome-wide association studies.

DATA DESCRIPTION

We generated transcriptomics data from a mixture of young differentiating xylem and cambium tissues of 480 Populus nigra trees sampled in a common garden experiment located at Orléans (France), corresponding to 241 genotypes (2 clonal replicates per genotype, at maximum) by using RNAseq technology. We launched on the resulting sequences an in-silico pipeline that allowed us to obtain 878,957 biallelic polymorphisms without missing data. More than 99% of these positions are annotated and 98.8% are located on the 19 chromosomes of the P. trichocarpa reference genome. The raw RNAseq sequences are available at the NCBI Sequence Read Archive SPR188754 and the variant dataset at the Recherche Data Gouv repository under https://doi.org/10.15454/8DQXK5 .

摘要

目的

黑杨(Populus nigra L.)是一种分布广泛的欧亚大陆特有种,是河岸生态系统中具有重要生态意义的物种,被用作种间(P. deltoides x P. nigra)杂交培育杨树的亲本。本文描述了从 11 个河流流域(分布于四个欧洲国家)的自然种群中 241 个黑杨个体的转录组序列中检测到的变异。这些数据为种群结构分析、群体基因组学和全基因组关联研究提供了新的有价值的资源。

数据描述

我们使用 RNAseq 技术,从位于奥尔良(法国)的一个共同花园实验中 480 棵黑杨的幼态木质部和形成层组织混合物中生成转录组数据,这些样本对应 241 个基因型(每个基因型最多有 2 个克隆重复)。我们对得到的序列进行了一种计算机算法,获得了 878957 个无缺失数据的双等位基因多态性。这些位置中超过 99%有注释,98.8%位于 P. trichocarpa 参考基因组的 19 条染色体上。原始 RNAseq 序列可在 NCBI Sequence Read Archive SPR188754 中获取,变异数据集可在 Recherche Data Gouv 存储库中获取,网址为 https://doi.org/10.15454/8DQXK5。