Evidence map›Paper›PMID 35065611›Full record

ArticleBMC plant biology2022

QTL mapping for growth-related traits by constructing the first genetic linkage map in Simao pine.

Dawei Wang, Lin Yang, Chen Shi, Siguang Li, Hongyan Tang, Chengzhong He, Nianhui Cai, Anan Duan, Hede Gong

Abstract read
In one paragraph

Article in BMC plant biology, 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
–field-weighted citation impact
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

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Co-Location of QTL for Vigor and Resistance to Three Diseases inInternational journal of molecular sciences · 2025
    Article
  4. Article
  5. Review
  6. Article
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

9 authors.

Dawei WangKey Laboratory for Forest Resource Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China.
Lin YangKey Laboratory for Forest Resource Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China.
Chen ShiKey Laboratory for Forest Resource Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China.
Siguang LiYunnan Academy of Forestry, Kunming, China.
Hongyan TangPuer City Institute of Forestry Sciences, Puer, China.
Chengzhong HeKey Laboratory for Forest Resource Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China.
Nianhui CaiKey Laboratory for Forest Resource Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China.
Anan DuanKey Laboratory for Forest Resource Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China.
Hede GongSchool of Geography, Southwest Forestry University, Kunming, China. gonghede3@163.com.ORCID http://orcid.org/0000-0002-0700-291X

Funding

National Natural Science Foundation of China 31500536Special Funds for local scientific and Technological Development Guided by the Central Government 219001
6 · The paper itself

Abstract

backgroundSimao pine is one of the primary economic tree species for resin and timber production in southwest China. The exploitation and utilization of Simao pine are constrained by the relatively lacking of genetic information. Construction a fine genetic linkage map and detecting quantitative trait locis (QTLs) for growth-related traits is a prerequisite section of Simao Pine's molecular breeding program.

resultsIn our study, a high-resolution Simao pine genetic map employed specific locus amplified fragment sequencing (SLAF-seq) technology and based on an F

conclusionsIn our study, a fine genetic map of Simao pine applied the technology of SLAF-seq has been constructed for the first time. Based on the map, a total of 17 QTLs for four growth-related traits were identified. It provides helpful information for genomic studies and marker-assisted selection (MAS) in Simao pine.

Indexed as

Quantitative Trait LociChromosome MappingPhenotypePinusPolymorphism, Single Nucleotidegenetic linkage mapgrowth-related traitsQTL mappingSimao pineSLAF-seq

Identifiers

PMID35065611
PMCPMC8783431

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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.