Evidence map›Paper›PMID 29748765›Full record

ArticleGenetica2018

De novo assembly of mitochondrial genomes provides insights into genetic diversity and molecular evolution in wild boars and domestic pigs.

Pan Ni, Ali Akbar Bhuiyan, Jian-Hai Chen, Jingjin Li, Cheng Zhang, Shuhong Zhao, Xiaoyong Du, Hua Li, Hui Yu, Xiangdong Liu and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Genetica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 2 institutions in 2 countries.

Pan NiCollege of Life Science, Foshan University, Foshan, 528231, Guangdong, People's Republic of China.
Ali Akbar BhuiyanKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
Jian-Hai ChenKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
Jingjin LiKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
Cheng ZhangCollege of Informatics, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
Shuhong ZhaoKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
Xiaoyong DuKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
Hua LiCollege of Life Science, Foshan University, Foshan, 528231, Guangdong, People's Republic of China.
Hui YuCollege of Life Science, Foshan University, Foshan, 528231, Guangdong, People's Republic of China.
Xiangdong LiuKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China. liuxiangdong@mail.hzau.edu.cn.
Kui LiCollege of Life Science, Foshan University, Foshan, 528231, Guangdong, People's Republic of China. likui_gene@163.com.
Huazhong Agricultural University · CNFoshan University · CN

Funding

National Natural Science Foundation of China NSFC-CGIAR, 31361140365National Natural Science Foundation of China (Foshan University Initiative Scientific Research Program) 31702088The Fundamental Research Funds for the Central Universities 2662015JC010The Fundamental Research Funds for the Central Universities 2662017JC027
6 · The paper itself

Abstract

Up to date, the scarcity of publicly available complete mitochondrial sequences for European wild pigs hampers deeper understanding about the genetic changes following domestication. Here, we have assembled 26 de novo mtDNA sequences of European wild boars from next generation sequencing (NGS) data and downloaded 174 complete mtDNA sequences to assess the genetic relationship, nucleotide diversity, and selection. The Bayesian consensus tree reveals the clear divergence between the European and Asian clade and a very small portion (10 out of 200 samples) of maternal introgression. The overall nucleotides diversities of the mtDNA sequences have been reduced following domestication. Interestingly, the selection efficiencies in both European and Asian domestic pigs are reduced, probably caused by changes in both selection constraints and maternal population size following domestication. This study suggests that de novo assembled mitogenomes can be a great boon to uncover the genetic turnover following domestication. Further investigation is warranted to include more samples from the ever-increasing amounts of NGS data to help us to better understand the process of domestication.

Indexed as

Evolution, MolecularGenetic VariationGenome, MitochondrialGenomicsAnimalsAnimals, WildBayes TheoremComputational BiologyPhylogenySelection, GeneticSus scrofaSwineGenetic diversityGenetic structureMitochondrial genomesSelectionSus scrofa

Identifiers

PMID29748765
OpenAlexW2801128650

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.