Evidence map›Paper›PMID 38693501›Full record

ArticleBMC genomics2024

Annotations of four high-quality indigenous chicken genomes identify more than one thousand missing genes in subtelomeric regions and micro-chromosomes with high G/C contents.

Siwen Wu, Tengfei Dou, Sisi Yuan, Shixiong Yan, Zhiqiang Xu, Yong Liu, Zonghui Jian, Jingying Zhao, Rouhan Zhao, Xiannian Zi and 8 more

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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

18 authors.

Siwen Wu *Department of Bioinformatics and Genomics, the University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
Tengfei Dou *Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Sisi YuanDepartment of Bioinformatics and Genomics, the University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
Shixiong YanFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Zhiqiang XuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Yong LiuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Zonghui JianFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Jingying ZhaoFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Rouhan ZhaoFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Xiannian ZiFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Dahai GuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Lixian LiuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Qihua LiFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Dong-Dong WuState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Junjing Jia *Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Changrong Ge *Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Zhengchang Su *Department of Bioinformatics and Genomics, the University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
Kun Wang *Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China. wangkun9007@126.com.

Funding

National Natural Science Foundation of China U2002205Natural Science Foundation of Yunnan Province 2019IC008Yunling Industry and Technology Leading Talent Training Program of Yunnan Province YNWR-CYJS-2015-027Yunling Scholar Training Program of Yunnan Province 2014NO48
6 · The paper itself

Abstract

backgroundAlthough multiple chicken genomes have been assembled and annotated, the numbers of protein-coding genes in chicken genomes and their variation among breeds are still uncertain due to the low quality of these genome assemblies and limited resources used in their gene annotations. To fill these gaps, we recently assembled genomes of four indigenous chicken breeds with distinct traits at chromosome-level. In this study, we annotated genes in each of these assembled genomes using a combination of RNA-seq- and homology-based approaches.

resultsWe identified varying numbers (17,497-17,718) of protein-coding genes in the four indigenous chicken genomes, while recovering 51 of the 274 "missing" genes in birds in general, and 36 of the 174 "missing" genes in chickens in particular. Intriguingly, based on deeply sequenced RNA-seq data collected in multiple tissues in the four breeds, we found 571 ~ 627 protein-coding genes in each genome, which were missing in the annotations of the reference chicken genomes (GRCg6a and GRCg7b/w). After removing redundancy, we ended up with a total of 1,420 newly annotated genes (NAGs). The NAGs tend to be found in subtelomeric regions of macro-chromosomes (chr1 to chr5, plus chrZ) and middle chromosomes (chr6 to chr13, plus chrW), as well as in micro-chromosomes (chr14 to chr39) and unplaced contigs, where G/C contents are high. Moreover, the NAGs have elevated quadruplexes G frequencies, while both G/C contents and quadruplexes G frequencies in their surrounding regions are also high. The NAGs showed tissue-specific expression, and we were able to verify 39 (92.9%) of 42 randomly selected ones in various tissues of the four chicken breeds using RT-qPCR experiments. Most of the NAGs were also encoded in the reference chicken genomes, thus, these genomes might harbor more genes than previously thought.

conclusionThe NAGs are widely distributed in wild, indigenous and commercial chickens, and they might play critical roles in chicken physiology. Counting these new genes, chicken genomes harbor more genes than originally thought.

Indexed as

ChickensGenomeMolecular Sequence AnnotationAnimalsBase CompositionChromosomesGenomicsTelomereChickenDomesticationEvolutionGene annotationMissing genesNew genesRT-qPCR

Identifiers

PMID38693501
PMCPMC11061957

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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 Socratic graph.