Double triage to identify poorly annotated genes in maize: The missing link in community curation.

The sophistication of gene prediction algorithms and the abundance of RNA-based evidence for the maize genome may suggest that manual curation of gene models is no longer necessary. However, quality metrics generated by the MAKER-P gene annotation pipeline identified 17,225 of 130,330 (13%) protein-...

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Main Authors: Marcela K Tello-Ruiz, Cristina F Marco, Fei-Man Hsu, Rajdeep S Khangura, Pengfei Qiao, Sirjan Sapkota, Michelle C Stitzer, Rachael Wasikowski, Hao Wu, Junpeng Zhan, Kapeel Chougule, Lindsay C Barone, Cornel Ghiban, Demitri Muna, Andrew C Olson, Liya Wang, Doreen Ware, David A Micklos
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0224086
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author Marcela K Tello-Ruiz
Cristina F Marco
Fei-Man Hsu
Rajdeep S Khangura
Pengfei Qiao
Sirjan Sapkota
Michelle C Stitzer
Rachael Wasikowski
Hao Wu
Junpeng Zhan
Kapeel Chougule
Lindsay C Barone
Cornel Ghiban
Demitri Muna
Andrew C Olson
Liya Wang
Doreen Ware
David A Micklos
author_facet Marcela K Tello-Ruiz
Cristina F Marco
Fei-Man Hsu
Rajdeep S Khangura
Pengfei Qiao
Sirjan Sapkota
Michelle C Stitzer
Rachael Wasikowski
Hao Wu
Junpeng Zhan
Kapeel Chougule
Lindsay C Barone
Cornel Ghiban
Demitri Muna
Andrew C Olson
Liya Wang
Doreen Ware
David A Micklos
author_sort Marcela K Tello-Ruiz
collection DOAJ
description The sophistication of gene prediction algorithms and the abundance of RNA-based evidence for the maize genome may suggest that manual curation of gene models is no longer necessary. However, quality metrics generated by the MAKER-P gene annotation pipeline identified 17,225 of 130,330 (13%) protein-coding transcripts in the B73 Reference Genome V4 gene set with models of low concordance to available biological evidence. Working with eight graduate students, we used the Apollo annotation editor to curate 86 transcript models flagged by quality metrics and a complimentary method using the Gramene gene tree visualizer. All of the triaged models had significant errors-including missing or extra exons, non-canonical splice sites, and incorrect UTRs. A correct transcript model existed for about 60% of genes (or transcripts) flagged by quality metrics; we attribute this to the convention of elevating the transcript with the longest coding sequence (CDS) to the canonical, or first, position. The remaining 40% of flagged genes resulted in novel annotations and represent a manual curation space of about 10% of the maize genome (~4,000 protein-coding genes). MAKER-P metrics have a specificity of 100%, and a sensitivity of 85%; the gene tree visualizer has a specificity of 100%. Together with the Apollo graphical editor, our double triage provides an infrastructure to support the community curation of eukaryotic genomes by scientists, students, and potentially even citizen scientists.
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spelling doaj.art-13feb84c40454a8299d72ff931d09b6c2022-12-21T18:40:03ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-011410e022408610.1371/journal.pone.0224086Double triage to identify poorly annotated genes in maize: The missing link in community curation.Marcela K Tello-RuizCristina F MarcoFei-Man HsuRajdeep S KhanguraPengfei QiaoSirjan SapkotaMichelle C StitzerRachael WasikowskiHao WuJunpeng ZhanKapeel ChouguleLindsay C BaroneCornel GhibanDemitri MunaAndrew C OlsonLiya WangDoreen WareDavid A MicklosThe sophistication of gene prediction algorithms and the abundance of RNA-based evidence for the maize genome may suggest that manual curation of gene models is no longer necessary. However, quality metrics generated by the MAKER-P gene annotation pipeline identified 17,225 of 130,330 (13%) protein-coding transcripts in the B73 Reference Genome V4 gene set with models of low concordance to available biological evidence. Working with eight graduate students, we used the Apollo annotation editor to curate 86 transcript models flagged by quality metrics and a complimentary method using the Gramene gene tree visualizer. All of the triaged models had significant errors-including missing or extra exons, non-canonical splice sites, and incorrect UTRs. A correct transcript model existed for about 60% of genes (or transcripts) flagged by quality metrics; we attribute this to the convention of elevating the transcript with the longest coding sequence (CDS) to the canonical, or first, position. The remaining 40% of flagged genes resulted in novel annotations and represent a manual curation space of about 10% of the maize genome (~4,000 protein-coding genes). MAKER-P metrics have a specificity of 100%, and a sensitivity of 85%; the gene tree visualizer has a specificity of 100%. Together with the Apollo graphical editor, our double triage provides an infrastructure to support the community curation of eukaryotic genomes by scientists, students, and potentially even citizen scientists.https://doi.org/10.1371/journal.pone.0224086
spellingShingle Marcela K Tello-Ruiz
Cristina F Marco
Fei-Man Hsu
Rajdeep S Khangura
Pengfei Qiao
Sirjan Sapkota
Michelle C Stitzer
Rachael Wasikowski
Hao Wu
Junpeng Zhan
Kapeel Chougule
Lindsay C Barone
Cornel Ghiban
Demitri Muna
Andrew C Olson
Liya Wang
Doreen Ware
David A Micklos
Double triage to identify poorly annotated genes in maize: The missing link in community curation.
PLoS ONE
title Double triage to identify poorly annotated genes in maize: The missing link in community curation.
title_full Double triage to identify poorly annotated genes in maize: The missing link in community curation.
title_fullStr Double triage to identify poorly annotated genes in maize: The missing link in community curation.
title_full_unstemmed Double triage to identify poorly annotated genes in maize: The missing link in community curation.
title_short Double triage to identify poorly annotated genes in maize: The missing link in community curation.
title_sort double triage to identify poorly annotated genes in maize the missing link in community curation
url https://doi.org/10.1371/journal.pone.0224086
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