2019
DOI: 10.1111/pbi.13270
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Genetic dissection of the gene coexpression network underlying photosynthesis in Populus

Abstract: Summary Photosynthesis is a key reaction that ultimately generates the carbohydrates needed to form woody tissues in trees. However, the genetic regulatory network of protein‐encoding genes (PEGs) and regulatory noncoding RNAs (ncRNAs), including microRNAs (miRNAs) and long noncoding RNAs (lncRNAs), underlying the photosynthetic pathway is unknown. Here, we integrated data from coexpression analysis, association studies (additive, dominance and epistasis), and expression quantitative trait nucleotide (eQTN) ma… Show more

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Cited by 27 publications
(21 citation statements)
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“…Several SNPs were predicted to affect the secondary structure of pre-miRNA. An SNP in the mature region of PtoMIR6466 that alters the stemloop structure and was associated with photosynthetic traits (Xiao et al, 2020). Herein, we identified five SNPs in PtoMIR403b significantly associated with wood characteristic traits, suggesting a role for PtomiR403b in wood formation (Figure 2).…”
Section: Ptogt31b-1 Affect Wood Formation In Populusmentioning
confidence: 84%
See 1 more Smart Citation
“…Several SNPs were predicted to affect the secondary structure of pre-miRNA. An SNP in the mature region of PtoMIR6466 that alters the stemloop structure and was associated with photosynthetic traits (Xiao et al, 2020). Herein, we identified five SNPs in PtoMIR403b significantly associated with wood characteristic traits, suggesting a role for PtomiR403b in wood formation (Figure 2).…”
Section: Ptogt31b-1 Affect Wood Formation In Populusmentioning
confidence: 84%
“…Epistasis is an interaction effect among multiple variants or genes that contribute to the same traits, and its analysis can reveal genetic interactions between two SNPs or genes underlying complex traits. We previously used the epistasis association study to construct a genetic interaction network for photosynthetic traits and revealed the allelic combinations among non-coding RNAs and protein-coding gene, suggesting the power of epistatic effects to illustrate the genetic interaction between miRNA and its target genes (Xiao et al, 2020). We identified 36 SNP-SNP pairs representing the interactions between PtoMIR403b and PtoGT31B-1 and clarified how these interactions contribute to wood characteristic traits (Figure 3), revealing that PtoMIR403b and PtoGT31B-1 interact and are involved the same regulatory pathway.…”
Section: Genetic Interactions Between Ptomir403b and Ptogt31b-1 Underlying Wood Propertiesmentioning
confidence: 99%
“…As described in a previous manuscript, a 10-year-old association population of 435 unrelated individuals was vegetatively propagated in Guanxian County, Shandong Province, China (36° 23′N, 115° 47′E) in 2009, from root segments, using a random complete block design of three blocks ( Xiao et al, 2020 ). The sampled population was randomly selected from 1047 individuals from natural P. tomentosa populations, representing almost the entire natural distribution of P. tomentosa (30-40° N, 105-125° E), which can be divided into three climatic regions ( Zhang et al, 2010 ).…”
Section: Methodsmentioning
confidence: 99%
“…The methods for genome resequencing and genotyping have been described by Xiao et al [ 50 ]. Briefly, the total genomic DNA was extracted from fresh mature leaves of 300 unrelated individuals using the DNeasy plant Mini Kit (Qiagen, Shanghai, China), and a re-sequencing library was constructed according to the sample preparation instructions (Illumina, San Diego, CA, USA).…”
Section: Methodsmentioning
confidence: 99%