Evidence map›Paper›PMID 30611188›Full record

ArticleBMC genomics2019

Revisiting avian 'missing' genes from de novo assembled transcripts.

Zhong-Tao Yin, Feng Zhu, Fang-Bin Lin, Ting Jia, Zhen Wang, Dong-Ting Sun, Guang-Shen Li, Cheng-Lin Zhang, Jacqueline Smith, Ning Yang and 1 more

Abstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  8. The genome of a globally invasive passerine, the common myna, Acridotheres tristis.DNA research : an international journal for rapid publication of reports on genes and genomes · 2024
    Article
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  13. Article
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  15. Fourth Report on Chicken Genes and Chromosomes 2022.Cytogenetic and genome research · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Connexins during 500 Million Years-From Cyclostomes to Mammals.International journal of molecular sciences · 2021
    Review
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.

Zhong-Tao YinNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Feng ZhuNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Fang-Bin LinNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Ting JiaBeijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, 100044, China.
Zhen WangNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Dong-Ting SunBeijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, 100044, China.
Guang-Shen LiNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Cheng-Lin ZhangBeijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, 100044, China.
Jacqueline SmithThe Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK.
Ning YangNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Zhuo-Cheng HouNational Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China. zchou@cau.edu.cn.ORCID http://orcid.org/0000-0003-4752-2255

Funding

Biotechnology and Biological Sciences Research Council BBS/E/D/20211552Earmarked Fund for Modern Agro-industry Technology Research System CARS-42-9National Natural Science Foundation of China 31572388National Scientific Supporting Projects of China 2015BAD03B06the Program for Changjiang Scholars and Innovative Research Team in University IRT_15R62
6 · The paper itself

Abstract

backgroundArgument remains as to whether birds have lost genes compared with mammals and non-avian vertebrates during speciation. High quality-reference gene sets are necessary for precisely evaluating gene gain and loss. It is essential to explore new reference transcripts from large-scale de novo assembled transcriptomes to recover the potential hidden genes in avian genomes.

resultsWe explored 196 high quality transcriptomic datasets from five bird species to reconstruct transcripts for the purpose of discovering potential hidden genes in the avian genomes. We constructed a relatively complete and high-quality bird transcript database (1,623,045 transcripts after quality control in five birds) from a large amount of avian transcriptomic data, and found most of the presumed missing genes (83.2%) could be recovered in at least one bird species. Most of these genes have been identified for the first time in birds. Our results demonstrate that 67.94% genes have GC content over 50%, while 2.91% genes are AT-rich (AT% > 60%). In our results, 239 (53.59%) genes had a tissue-specific expression index of more than 0.9 in chicken. The missing genes also have lower Ka/Ks values than average (genome-wide: Ka/Ks = 0.99; missing gene: Ka/Ks = 0.90; t-test = 1.25E-14). Among all presumed missing genes, there were 135 for which we did not find any meaningful orthologues in any of the 5 species studied.

conclusionInsufficient reference genome quality is the major reason for wrongly inferring missing genes in birds. Those presumably missing genes often have a very strong tissue-specific expression pattern. We show multi-tissue transcriptomic data from various species are necessary for inferring gene family evolution for species with only draft reference genomes.

Indexed as

Evolution, MolecularAnimalsBase CompositionBirdsGenomeGenomicsMammalsPhylogenyTranscriptomeVertebratesAvian genomede novo assemblyEvolutionMissing gene

Identifiers

PMID30611188
PMCPMC6321700

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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.