Inbreeding in Chinese fir: Insights into the adaptive growth traits of selfed progeny from mRNA, miRNA, and copy number variation

We uncovered the key biological processes underpinning the growth of normal selfed seedlings and established the relationship between CNV and the expression levels of hub genes in selfed seedlings. Understanding the candidate genes involved in the growth of selfed seedlings will help us comprehend the genetic mechanisms behind inbreeding depression in the evolutionary biology of plants.

Authors

Institutions

Publication Details

Journal
American Journal of Botany
Published
2024-08-20
DOI
https://doi.org/10.1002/ajb2.16393
Citations
1
Primary Topic
Plant Molecular Biology Research
Type
article
Field-Weighted Citation Impact
0.60

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inbreeding in Chinese fir: Insights into the adaptive growth traits of selfed progeny from mRNA, miRNA, and copy number variation

Yuhan Sun, Houyin Deng, Yousry A. El‐Kassaby, Runhui Wang et al.
1 citations
American Journal of Botany
Plant Molecular Biology Research
0.60
article

Inbreeding in Chinese fir: Insights into the adaptive growth traits of selfed progeny from mRNA, miRNA, and copy number variation

Yuhan Sun, Houyin Deng, Yousry A. El‐Kassaby, Runhui Wang, Ruping Wei, Huiquan Zheng, Yun Li, Yan Shu, Rong Huang
article en
1 citations

Abstract

We uncovered the key biological processes underpinning the growth of normal selfed seedlings and established the relationship between CNV and the expression levels of hub genes in selfed seedlings. Understanding the candidate genes involved in the growth of selfed seedlings will help us comprehend the genetic mechanisms behind inbreeding depression in the evolutionary biology of plants.

American Journal of BotanyVol. 111(9)
University of British Columbia (CA), Beijing Forestry University (CN), Research Institute of Forestry (CN), Guangdong Academy of Forestry (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 22%
Plant Molecular Biology Research
0.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.