Literature DB >> 21624896

MaizeGDB: curation and outreach go hand-in-hand.

Mary L Schaeffer1, Lisa C Harper, Jack M Gardiner, Carson M Andorf, Darwin A Campbell, Ethalinda K S Cannon, Taner Z Sen, Carolyn J Lawrence.   

Abstract

First released in 1991 with the name MaizeDB, the Maize Genetics and Genomics Database, now MaizeGDB, celebrates its 20th anniversary this year. MaizeGDB has transitioned from a focus on comprehensive curation of the literature, genetic maps and stocks to a paradigm that accommodates the recent release of a reference maize genome sequence, multiple diverse maize genomes and sequence-based gene expression data sets. The MaizeGDB Team is relatively small, and relies heavily on the research community to provide data, nomenclature standards and most importantly, to recommend future directions, priorities and strategies. Key aspects of MaizeGDB's intimate interaction with the community are the co-location of curators with maize research groups in multiple locations across the USA as well as coordination with MaizeGDB's close partner, the Maize Genetics Cooperation--Stock Center. In this report, we describe how the MaizeGDB Team currently interacts with the maize research community and our plan for future interactions that will support updates to the functional and structural annotation of the B73 reference genome.

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Year:  2011        PMID: 21624896      PMCID: PMC3104940          DOI: 10.1093/database/bar022

Source DB:  PubMed          Journal:  Database (Oxford)        ISSN: 1758-0463            Impact factor:   3.451


A brief history of MaizeDB

In maize, the release of the B73 reference genome sequence (1), coupled with advances in sequencing technologies, continues to generate massive quantities of data. MaizeGDB, the maize research community’s Model Organism Database (MOD) is charged to integrate much of these data and to provide an access point that serves data representations [e.g. the MaizeGDB Genome Browser (2), descriptions of loci and gene models, etc.] to external data resources with connections to physical entities such as genetic stocks. In addition, the Maize Genome Sequencing Consortium has requested that MaizeGDB collect, document and disseminate researcher-contributed information to aid in continued genome assembly and annotation endeavors. In MaizeGDB’s initial incarnation (as MaizeDB; 1990–2000), comprehensive literature annotation was one of the central foci of the database resource with the main goal being to capture experimentally confirmed gene functions and trait inheritance, along with extensive community data documenting genetic maps and molecular markers (3; aka mapping probes). Currently, the curation focus is to facilitate data integration of very large data sets and to provide insight into development of easy-to-use interfaces and data displays. The efforts toward data integration involve gene nomenclature considerations as well as ontology development and implementation. Literature annotation is an ongoing process, but at a greatly reduced amount per guidance provided by the 2004 MaizeDB to MaizeGDB Transition Steering Committee, http://www.maizegdb.org/steering_committee.php. Priority is given to manuscripts suggested by the MaizeGDB Editorial Board (approximately five journal articles per month; http://www.maizegdb.org/cgi-bin/editorial_board.cgi) and, as time permits, to newly sequenced genes with experimentally confirmed functions. Although a comprehensive set of tools that permits data curation by the maize community has been available for many years (4), it has been very rarely utilized; a problem consistently reported by other genome database projects (5). In an effort to increase literature curation, implementation of Textpresso (6) is currently underway. Textpresso will serve both as a tool to facilitate curational activities, as well as a mechanism for researchers to search publications based on biological categories such Gene Ontology terms (7), http://www.geneontology.org/. Additionally, we have partnered with a research team at Truman State University. This group, comprised of faculty in biology and computer science, engages undergraduates to perform Gene Ontology annotation of maize gene models, http://sam.truman.edu/ (8). In cases where there is experimental data in the published literature, these annotations will be reviewed, incorporated into MaizeGDB and provided to Uniprot/SwissProt, which links to MaizeGDB. We envision this to become a model for similar community-based annotation efforts.

MaizeGDB and the community

The permanent staff for MaizeGDB is relatively small (five persons), and we rely heavily on the maize genetics community and other stakeholders, notably the Maize Genetics Executive Committee, http://www.maizegdb.org/mgec.php, the National Corn Growers Association (9) and the MaizeGDB Working Group (described below) for guidance and assistance. The maize community has a long history of cooperation that dates to the early part of the 20th century (10) and enthusiastically participates in community surveys to help in guiding MaizeGDB to address stakeholder needs (2). The maize community has been a major contributor to the NSF’s Plant Genome Research Program’s accomplishments from that program’s very beginnings, including laying substantial groundwork early on toward sequencing the maize genome (11). While community planning discussions are held in open forums at the Annual Maize Genetics Conference (this year in its 53rd year), smaller, more focused meetings are also held to identify community needs and set priorities. The most recent occurred in 2007 at Allerton Park, Illinois, http://www.maizegdb.org/AllertonReport.doc. Allerton has historic interest, as it was also the site of the first maize meeting (Figure 1). At MaizeGDB, we provide extensive outreach and other services to support continued development of the maize community, which are described in previous reports (4, 12–14) and in the accompanying Database (Oxford) article (Harper et al.)
Figure 1.

The maize genetics cooperation, 1928–2009. The top timeline depicts the establishment of a Stock Center and Newsletter in 1928, followed by funding for MaizeDB in 1990, and then the 2009 release of the B73 reference genome sequence. The leftmost inset shows the participants of the first formal Maize Genetics Meeting, at Allerton, IL in 1959 [photograph courtesy Earl Patterson and the Newsletter (57)]. The color photograph [courtesy anonymous photographer, and the Newsletter (58) depicts the subset of the current maize research community that convened in 2007, at Allerton, IL to plan infrastructure needs. This 2007 meeting included representatives of MaizeGDB (CJL, MLS, Trent Seigfried).

The maize genetics cooperation, 1928–2009. The top timeline depicts the establishment of a Stock Center and Newsletter in 1928, followed by funding for MaizeDB in 1990, and then the 2009 release of the B73 reference genome sequence. The leftmost inset shows the participants of the first formal Maize Genetics Meeting, at Allerton, IL in 1959 [photograph courtesy Earl Patterson and the Newsletter (57)]. The color photograph [courtesy anonymous photographer, and the Newsletter (58) depicts the subset of the current maize research community that convened in 2007, at Allerton, IL to plan infrastructure needs. This 2007 meeting included representatives of MaizeGDB (CJL, MLS, Trent Seigfried). One way that we are able to enhance our interactions with the maize community is by the physical distribution of the MaizeGDB curation staff. The software development and database management team members are centralized at Ames, Iowa (USA), in a building where several other database groups are also located: SoyBase (15), http://www.soybase.org; PLEXdb (16), http://www.plexdb.org; and PlantGDB (17), http://www.plantgdb.org). Ames, IA is also the home of maize researchers working in various areas of research (18–25) and the North Central Regional Plant Introduction Station where maize breeding stocks are maintained as a part of the National Plant Germplasm System, http://www.ars.usda.gov/Main/site_main.htm?modecode=36-25-12-00. MaizeGDB curators, who also serve as outreach staff, (J.M.G., L.C.H. and M.L.S.) are located in areas where many maize geneticists are stationed: at the USDA-ARS Plant Gene Expression Center near the University of California, Berkeley (26–29), at the University of Arizona (30–33) and at the USDA-ARS/University of Missouri, Columbia (34–41). A closely related and collaborative project that also serves the maize genetics research community is the Maize Genetics Cooperation–Stock Center (42), http://maizecoop.cropsci.uiuc.edu, located at Urbana, Illinois. The Stock Center uses MaizeGDB as the primary interface to data about mutants, stocks and phenotypes, provides physical materials to researchers, and has close contact with other maize research groups in that area (43,44). Curators interact closely among themselves by frequent email and phone calls, conference calls, in-person meetings and postings to a wiki for the MaizeGDB team. In addition to close contact with the maize researchers, members of the MaizeGDB team are, or have been, part of the elected Maize Genetics Executive Committee (C.J.L. and M.L.S.); the Maize Genetics Nomenclature Committee (M.L.S.); the Maize Meeting Steering Committee (C.M.A. and M.L.S.); the Editorial Board the Maize Genetics Cooperation—Newsletter (M.L.S.); and the Corn Germplasm Committee (CGC), http://www.ars-grin.gov/npgs/cgclist.html (C.J.L. and M.L.S.). MaizeGDB hosts community websites, http://www.maizegdb.org/cooperators.php, for all of these groups, save the CGC, so that activities can be made accessible for public consumption. This enables members of the MaizeGDB Team to respond appropriately and quickly to community needs and to function as a clearinghouse for maize data, as well as the enforcement of proper nomenclature. Formal interaction with the community occurs via our working group (WG). Established in 2006, the MaizeGDB Working Group is tasked with evaluating MaizeGDB’s current status and recommending a course of action that will ensure that the MaizeGDB project follows the trajectory of maize research as closely as possible, providing a robust and timely source of data and analysis tools. The WG is composed of 10–12 members of the maize community, who are active in diverse areas of research and generally serve a term of 3 years (see ‘Acknowledgments’ section for current members of the WG). The WG meets at least once a year, preferably in person at a national meeting, or when circumstances/schedules do not permit, via online conferencing. After a brief presentation by the MaizeGDB staff describing recent accomplishments, the WG provides guidance on issues of special concern to MaizeGDB. Since its creation, the WG has provided critical guidance on topics including but not limited to: content development for the supporting 2007–2012 USDA-ARS Project Plan, selection of appropriate mechanisms to visualize and interact with the maize genome sequence, outlining a specific role for MaizeGDB in hosting maize genome sequence assemblies as well as structural and functional annotations, user interface updates, sequence-based expression data representations and opportunities for interactions with other projects.

Genome annotation in the past

Over the years, about 6000 functional genes described in the literature have been curated into MaizeGDB. However, this count is dwarfed by the 32 540 gene models predicted for the B73 genome by the Maize Genome Sequencing Consortium (1), the 25 703 RefSeq cDNA-unigenes in GenBank (45), and the approximately 10 000 gene models currently thought not to exist in B73, but to be present in other inbred lines (35,46). These new loci (predicted gene models) can be integrated with the existing functionally defined genes in many different ways. One way to integrate these data is to build a tool that relies on molecular markers often sequenced, which are shared between the genetic and physical maps and documented at MaizeGDB. Based on the requests from our users, we have created the ‘Locus Lookup Tool’, http://www.maizegdb.org/cgi-bin/locus_lookup.cgi?id=, to implement this idea. Locus Lookup helps researchers with genetically mapped genes to identify the chromosomal window that contains their gene of interest (47). This tool can aid positional cloning efforts and ultimately connects a theoretical gene model with a biologically defined gene. It is currently one of our most popular tools to access maize data. In other cases, cDNA sequences aligned to the genome assembly are also assigned to locus variations by manual curation, which can be used to link classical genetic information with the genome sequence. For example, the well-studied b1 gene has a manually curated cDNA sequence accession, X57276, associated with the mutant allele, B1-Peru, and has been aligned by the PlantGDB pipeline to the assembled B73 genome: http://www.maizegdb.org/cgi-bin/displayseqrecord.cgi?id=X57276 (17). Our manual curation of sequence accessions is periodically shared with the NCBI and can be found along with many gene and marker names and synonyms on the NCBI gene records; for example, see the b1 gene record: http://www.ncbi.nlm.nih.gov/gene/542724. It is useful to understand the infrastructure that has been put in place or is under development at MaizeGDB to support annotation. The MaizeGDB Genome Browser is the centerpiece for MaizeGDB’s transition to a sequence-centric paradigm (48). Within the Genome Browser, tracks (Table 1) are displayed with gene model information supplied by both the Maize Genome Sequencing Consortium, maizesequence.org and PlantGDB/ZmGDB, http://www.plantgdb.org/ZmGDB (17). In addition, we also accept data sets from community members that are mapped to the genomic sequence and serve them as genome browser tracks. When requested, we allow community-added information to be submitted but not displayed at MaizeGDB before publication. Glyphs displayed within tracks on the MaizeGDB Genome Browser link to additional information, stored at MaizeGDB and/or offsite.
Table 1.

Community provided annotation tracks for the MaizeGDB Genome Browser

TracksaSourcebExternal feature linkc
Ac/DsBrutnell & Vollbrecht, via PlantGDB (23)PlantGDB.org
UniformMUMcCarty (49)
ISU IBM 2009Schnable (50)
IBM2 2008 NeighborsArizona Genomics Institute (33)
CentromereJ.M. Jiang & G. Presting, unpublished data (55)
antiCENH3-ChiPJ.M. Jiang & G. Presting, unpublished data (55)
MIPS repeats, Gene modelsMaize Genome Sequencing Consortium (1)maizesequence.org
PLEXdbPLEXdb (16)PLEXdb.org
Structural annotation-communityPlantGDB (yrGate, 54)PlantGDB.org
cDNA, EST,GSS, unique transcripts, GSS, gene modelsPlantGDB (17)PlantGDB.org
MAGIP. Schnable (56)magi.plantgenomics.iastate.edu
Mo17 SNP/IndelD.M. Rokshar (unpublished data) http://www.jgi.doe.gov/
Leaf transcriptomeBrutnell (57)cbsuss03.tc.cornell.edu/cgi-bin/gbrowse/c3c4_pm

aContent of browser tracks supplied by community.

bPerson or group providing data with literature reference for data source in parentheses.

cThe external data source for those cases where clicking on a track feature leads directly to an external data source.

Community provided annotation tracks for the MaizeGDB Genome Browser aContent of browser tracks supplied by community. bPerson or group providing data with literature reference for data source in parentheses. cThe external data source for those cases where clicking on a track feature leads directly to an external data source. In some cases when the data need to be recomputed on an updated genome sequence assembly, we ask for action on the part of the original submitter. One of these, PlantGDB, serves community annotations via Distributed Annotation Service (DAS) wherein the changes to gene models are stored at PlantGDB, and DAS web services are used to serve the data for display within the context of the MaizeGDB Genome Browser. We have created mechanisms to recompute the alignment of genomic features that we visualize in the tracks when new versions of the assemblies (i.e. pseudomolecules) become available. Feature annotations at MaizeGDB are often provided in files associated with peer-reviewed publications, usually as Supplementary Data, where the annotation process is described. In many of these cases, the underlying supporting data used to create each browser track have been integrated systematically at MaizeGDB [e.g. UniformMu (49), ISU IBM 2009 (50), IBM2 2008 Neighbors (33) and can be used for updating annotation of tracks in future. More recently, we have begun a partnership with PLEXdb to update gene expression data from NimbleGen arrays used to develop a maize gene atlas (51). MaizeGDB will redefine oligo probe sets for updates to gene models; and PLEXdb will re-normalize the raw expression data for the updated probe sets. Updated associations of gene models to standard ontologies for plant anatomy and development will be supplied to the Plant Ontology site, www.plantontology.org, where we have contributed to the initial development of this ontology, and have provided associations as part of our normal operating protocols for some years (52). The creation of B73 RefGen_v3 is in the works with a current estimate for its delivery slated for July of 2011 (Doreen H. Ware, personal communication). This version is anticipated to be the final assembly product to be provided by the Maize Genome Sequencing Consortium, which will be made available via MaizeGDB. Thereafter, the default view of the MaizeGDB Genome Browser is scheduled to be updated annually to an incremented release of the genome assembly by the MaizeGDB Team. FTP and BLAST (53) access to builds will be made available in advance of releasing new assemblies to allow research groups to align their sequence-indexed data well in advance of their full deployment via the MaizeGDB Genome Browser. Timely access is important for our community annotators (Table 1), but also to many other researchers. For example, in microarray and RNA_seq expression data, expression values are normalized over values for oligos corresponding to the current gene models. MaizeGDB currently accepts data aligned to the B73 Reference Genome Assembly (currently B73 RefGen_v2) and is committed to working with members of the community to integrate well-documented structural and functional genome annotation and to release new assemblies annually.

Genome annotation in the future

From community surveys by the Maize Genetics Executive Committee and community discussions at the 2010 Maize Genetics Conference, the maize community has identified, as its two top priorities, to have the maize B73 sequence assembly improved and annotated. At the request of the Maize Genetics Executive Committee, we are in the process of forming a Maize Genome Annotation Consortium. The MaizeGDB Team appreciates the importance of helping people work together toward a common goal and has recently posted guidelines on its website, http://www.maizegdb.org/assembly.php, to groups who plan to engage in sequence assembly and annotation. These guidelines stipulate several elements for a fully successful collaboration with the maize community and with the MaizeGDB, the ultimate disseminator of the information. A key element is transparency, whereby projects make public their plans, standards and data delivery timelines at the initial stages. As data are delivered, detailed documentation for assembly and annotation should be provided. Annotations confirmed by experimental evidence should be clearly discriminated from those based purely on in silico analyses. Standard evidence codes, e.g. those stipulated for GO annotations, should be employed. To facilitate data integration at MaizeGDB, and also planning by all in the research community, data delivery dates should be made known in advance, although it is understood that there may be some changes from the initial timeline. MaizeGDB will create a mechanism to display progress with the main idea to facilitate communication with the maize research community. In addition, there should be a mechanism to interact with the maize community directly and with a single voice for the project. Maize researchers comprise a vibrant community with researchers at all levels in both the public and private sectors and as such an annotation project means different things to different people. A bidirectional means of communicating with the maize community should be deployed at the start of the project so that the maize community can both absorb and respond to new annotation information quickly. The goal is to provide all community members with the same information at the same time so that they can plan their research activities accordingly. This can be accomplished in many ways (quarterly e-newsletters, FAQs, blogs, social media, conferences, etc.) and all options should be considered so as to reach the largest number of stakeholders (i.e. the maize researchers). Another key element is to capture genome assembly information from the community. Currently, individual researchers are generating excellent, lab-validated genetic markers and order/orientation information of sequence fragments within BAC’s. Researchers are usually willing to share this information freely, but currently, there is no robust means to capture it. There should be an easy way through a web interface for researchers to submit data. All annotation submitted by community members should be vetted manually by expert annotators, and subsequently incorporated into the assembly, with an indication of who provided the data. It is expected that while there will be comparatively little data entering the assembly process in this way, these data would be of very high quality. As with genome assembly, researchers currently have high-quality structural and functional annotation for their genes of interest, both stored on lab computers and documented in publications. Researchers should be provided with tools to improve structural and functional annotation information that can then be integrated into the larger project's outcomes. These same tools could also be leveraged for classroom teaching. The ZmGDB/PlantGDB yrGATE (54) system and iPlant's DNA Subway, http://dnasubway.iplantcollaborative.org, are good examples of the sort of interface that could serve both groups. We strongly encourage planning a workshop for education, outreach and training in all aspects of annotation and thereby increase community understanding and involvement in the annotation of the maize genome. One obvious way to involve the community would be to contact the Maize Genetics Conference Steering Committee, http://www.maizegdb.org/maize_meeting/, about getting your message out at the Maize Meeting.

Summary

The maize community is both excited about and prepared to begin work toward annotating the maize genome, both in B73 and in other inbred lines (34, 46). We at MaizeGDB are looking forward to continuing our partnership with the community to provide informatics and organizational support for ongoing research activities.
  55 in total

1.  RNA-mediated trans-communication can establish paramutation at the b1 locus in maize.

Authors:  Mario Arteaga-Vazquez; Lyudmila Sidorenko; Fernando A Rabanal; Roli Shrivistava; Kan Nobuta; Pamela J Green; Blake C Meyers; Vicki L Chandler
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-29       Impact factor: 11.205

2.  Genetic and QTL analysis of maize tassel and ear inflorescence architecture.

Authors:  N Upadyayula; H S da Silva; M O Bohn; T R Rocheford
Journal:  Theor Appl Genet       Date:  2006-01-05       Impact factor: 5.699

3.  Plant genome resources at the national center for biotechnology information.

Authors:  David L Wheeler; Brian Smith-White; Vyacheslav Chetvernin; Sergei Resenchuk; Susan M Dombrowski; Steven W Pechous; Tatiana Tatusova; James Ostell
Journal:  Plant Physiol       Date:  2005-07       Impact factor: 8.340

4.  Precise centromere mapping using a combination of repeat junction markers and chromatin immunoprecipitation-polymerase chain reaction.

Authors:  Amy C Luce; Anupma Sharma; Oliver S B Mollere; Thomas K Wolfgruber; Kiyotaka Nagaki; Jiming Jiang; Gernot G Presting; R Kelly Dawe
Journal:  Genetics       Date:  2006-09-01       Impact factor: 4.562

5.  The Locus Lookup tool at MaizeGDB: identification of genomic regions in maize by integrating sequence information with physical and genetic maps.

Authors:  Carson M Andorf; Carolyn J Lawrence; Lisa C Harper; Mary L Schaeffer; Darwin A Campbell; Taner Z Sen
Journal:  Bioinformatics       Date:  2010-02-01       Impact factor: 6.937

Review 6.  From dwarves to giants? Plant height manipulation for biomass yield.

Authors:  Maria G Salas Fernandez; Philip W Becraft; Yanhai Yin; Thomas Lübberstedt
Journal:  Trends Plant Sci       Date:  2009-07-16       Impact factor: 18.313

7.  The physical and genetic framework of the maize B73 genome.

Authors:  Fusheng Wei; Jianwei Zhang; Shiguo Zhou; Ruifeng He; Mary Schaeffer; Kristi Collura; David Kudrna; Ben P Faga; Marina Wissotski; Wolfgang Golser; Susan M Rock; Tina A Graves; Robert S Fulton; Ed Coe; Patrick S Schnable; David C Schwartz; Doreen Ware; Sandra W Clifton; Richard K Wilson; Rod A Wing
Journal:  PLoS Genet       Date:  2009-11-20       Impact factor: 5.917

8.  SoyBase, the USDA-ARS soybean genetics and genomics database.

Authors:  David Grant; Rex T Nelson; Steven B Cannon; Randy C Shoemaker
Journal:  Nucleic Acids Res       Date:  2009-12-14       Impact factor: 16.971

9.  Sequencing, mapping, and analysis of 27,455 maize full-length cDNAs.

Authors:  Carol Soderlund; Anne Descour; Dave Kudrna; Matthew Bomhoff; Lomax Boyd; Jennifer Currie; Angelina Angelova; Kristi Collura; Marina Wissotski; Elizabeth Ashley; Darren Morrow; John Fernandes; Virginia Walbot; Yeisoo Yu
Journal:  PLoS Genet       Date:  2009-11-20       Impact factor: 5.917

10.  The Plant Ontology Database: a community resource for plant structure and developmental stages controlled vocabulary and annotations.

Authors:  Shulamit Avraham; Chih-Wei Tung; Katica Ilic; Pankaj Jaiswal; Elizabeth A Kellogg; Susan McCouch; Anuradha Pujar; Leonore Reiser; Seung Y Rhee; Martin M Sachs; Mary Schaeffer; Lincoln Stein; Peter Stevens; Leszek Vincent; Felipe Zapata; Doreen Ware
Journal:  Nucleic Acids Res       Date:  2008-01       Impact factor: 16.971

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  34 in total

1.  Stage-Specific Gene Profiling of Germinal Cells Helps Delineate the Mitosis/Meiosis Transition.

Authors:  Ting-Lu Yuan; Wei-Jie Huang; Juan He; Dong Zhang; Wei-Hua Tang
Journal:  Plant Physiol       Date:  2017-11-29       Impact factor: 8.340

2.  Transformation of rice with large maize genomic DNA fragments containing high content repetitive sequences.

Authors:  Yafei Wang; Haiyang Zeng; Xu Zhou; Fei Huang; Wei Peng; Lin Liu; Wentao Xiong; Xue Shi; Meizhong Luo
Journal:  Plant Cell Rep       Date:  2015-02-21       Impact factor: 4.570

3.  Perturbation of maize phenylpropanoid metabolism by an AvrE family type III effector from Pantoea stewartii.

Authors:  Jo Ann E Asselin; Jinshan Lin; Alvaro L Perez-Quintero; Irene Gentzel; Doris Majerczak; Stephen O Opiyo; Wanying Zhao; Seung-Mann Paek; Min Gab Kim; David L Coplin; Joshua J Blakeslee; David Mackey
Journal:  Plant Physiol       Date:  2015-01-29       Impact factor: 8.340

4.  The intracellular distribution of inorganic carbon fixing enzymes does not support the presence of a C4 pathway in the diatom Phaeodactylum tricornutum.

Authors:  Daniela Ewe; Masaaki Tachibana; Sae Kikutani; Ansgar Gruber; Carolina Río Bártulos; Grzegorz Konert; Aaron Kaplan; Yusuke Matsuda; Peter G Kroth
Journal:  Photosynth Res       Date:  2018-03-23       Impact factor: 3.573

5.  A maize cystatin suppresses host immunity by inhibiting apoplastic cysteine proteases.

Authors:  Karina van der Linde; Christoph Hemetsberger; Christine Kastner; Farnusch Kaschani; Renier A L van der Hoorn; Jochen Kumlehn; Gunther Doehlemann
Journal:  Plant Cell       Date:  2012-03-27       Impact factor: 11.277

6.  Stability of Single-Parent Gene Expression Complementation in Maize Hybrids upon Water Deficit Stress.

Authors:  Caroline Marcon; Anja Paschold; Waqas Ahmed Malik; Andrew Lithio; Jutta A Baldauf; Lena Altrogge; Nina Opitz; Christa Lanz; Heiko Schoof; Dan Nettleton; Hans-Peter Piepho; Frank Hochholdinger
Journal:  Plant Physiol       Date:  2016-12-20       Impact factor: 8.340

7.  Genome-wide identification and analysis of the B3 superfamily of transcription factors in Brassicaceae and major crop plants.

Authors:  Fred Y Peng; Randall J Weselake
Journal:  Theor Appl Genet       Date:  2013-02-02       Impact factor: 5.699

8.  Assessing the metabolic impact of nitrogen availability using a compartmentalized maize leaf genome-scale model.

Authors:  Margaret Simons; Rajib Saha; Nardjis Amiour; Akhil Kumar; Lenaïg Guillard; Gilles Clément; Martine Miquel; Zhenni Li; Gregory Mouille; Peter J Lea; Bertrand Hirel; Costas D Maranas
Journal:  Plant Physiol       Date:  2014-09-23       Impact factor: 8.340

9.  Genetic Determinants for Enzymatic Digestion of Lignocellulosic Biomass Are Independent of Those for Lignin Abundance in a Maize Recombinant Inbred Population.

Authors:  Bryan W Penning; Robert W Sykes; Nicholas C Babcock; Christopher K Dugard; Michael A Held; John F Klimek; Jacob T Shreve; Matthew Fowler; Angela Ziebell; Mark F Davis; Stephen R Decker; Geoffrey B Turner; Nathan S Mosier; Nathan M Springer; Jyothi Thimmapuram; Clifford F Weil; Maureen C McCann; Nicholas C Carpita
Journal:  Plant Physiol       Date:  2014-06-27       Impact factor: 8.340

10.  Maize gene atlas developed by RNA sequencing and comparative evaluation of transcriptomes based on RNA sequencing and microarrays.

Authors:  Rajandeep S Sekhon; Roman Briskine; Candice N Hirsch; Chad L Myers; Nathan M Springer; C Robin Buell; Natalia de Leon; Shawn M Kaeppler
Journal:  PLoS One       Date:  2013-04-23       Impact factor: 3.240

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