James C Schnable1, Michael Freeling. 1. Department of Plant and Microbial Biology, University of California, Berkeley, California, United States of America. jschnable@berkeley.edu
Abstract
Not all genes are created equal. Despite being supported by sequence conservation and expression data, knockout homozygotes of many genes show no visible effects, at least under laboratory conditions. We have identified a set of maize (Zea mays L.) genes which have been the subject of a disproportionate share of publications recorded at MaizeGDB. We manually anchored these "classical" maize genes to gene models in the B73 reference genome, and identified syntenic orthologs in other grass genomes. In addition to proofing the most recent version 2 maize gene models, we show that a subset of these genes, those that were identified by morphological phenotype prior to cloning, are retained at syntenic locations throughout the grasses at much higher levels than the average expressed maize gene, and are preferentially found on the maize1 subgenome even with a duplicate copy is still retained on the opposite subgenome. Maize1 is the subgenome that experienced less gene loss following the whole genome duplication in maize lineage 5-12 million years ago and genes located on this subgenome tend to be expressed at higher levels in modern maize. Links to the web based software that supported our syntenic analyses in the grasses should empower further research and support teaching involving the history of maize genetic research. Our findings exemplify the concept of "grasses as a single genetic system," where what is learned in one grass may be applied to another.
Not all genes are created equal. Despite being supported by sequence conservation and expression data, knockout homozygotes of many genes show no visible effects, at least under laboratory conditions. We have identified a set of maize (Zea mays L.) genes which have been the subject of a disproportionate share of publications recorded at MaizeGDB. We manually anchored these "classical" maize genes to gene models in the B73 reference genome, and identified syntenic orthologs in other grass genomes. In addition to proofing the most recent version 2 maize gene models, we show that a subset of these genes, those that were identified by morphological phenotype prior to cloning, are retained at syntenic locations throughout the grasses at much higher levels than the average expressed maize gene, and are preferentially found on the maize1 subgenome even with a duplicate copy is still retained on the opposite subgenome. Maize1 is the subgenome that experienced less gene loss following the whole genome duplication in maize lineage 5-12 million years ago and genes located on this subgenome tend to be expressed at higher levels in modern maize. Links to the web based software that supported our syntenic analyses in the grasses should empower further research and support teaching involving the history of maize genetic research. Our findings exemplify the concept of "grasses as a single genetic system," where what is learned in one grass may be applied to another.
The grasses, the approximately 10,000 species in the family Poaceae, are one of the
most ecologically and economically significant taxa on the planet. Comparative
mapping of diverse grass species led to the conclusion that they are all similar in
gene content and order [1], [2] to the point that it was argued grasses could be treated
as a single genetic system, sharing map data, markers, and leveraging inter-specific
hybrids to dissect the genes responsible for morphological variation between
different grass lineages [3]. In other words, knowledge gained from the study of any
one grass species could be quickly and directly applied to all other species in the
family.Among the grasses, maize is without question the species with the longest and most
comprehensively documented history of genetic investigation. The rich genetic
resources found in maize are the result of over a century of genetic investigation
beginning with R. A. Emerson's small but distinguished group in the early
20th century; see B. McClintock's unpublished note on this group
[4]. The
resulting set of characterized genes has the potential to be of great value in the
genomics era and sets maize apart from many model systems of more recent origin.
Until now the applications of this information in a genomic context have been
severely limited by the lack of reliable connections between the data produced by
geneticists studying individual genes and the datasets produced by genomicists who
generally work at the level of whole genomes.We curated a dataset of 464 “classical” maize genes supported by
citations from at least three publications, mutant phenotype data, or direct
requests from the maize community using data presented in MaizeGDB: The Maize
Genetics and Genomics Database (http://www.maizegdb.org) [5], [6]. Using manual
annotation we connected these well characterized maize loci to gene models created
by maizesequence.org, the group that recently published a sequence of the maize
genome. To increase the utility of this dataset we also identified orthologous genes
at syntenic locations in the genomes of three other grass species with published
genomes: rice [7],
sorghum [8], and
brachypodium [9]. The
evolutionary relationships of these grass species and a number of other notable
grasses are shown in Figure 1.
This initial classical gene list was distributed to the maize community with links
to software that graphically presented our pan-grass synteny data and links to the
MaizeGDB locus pages where all data regarding individual maize genes is
archived.
Figure 1
Phylogenetic relationships of notable and sequenced grass
species.
Branch lengths not to scale. *The genome sequencing of foxtail millet by
the joint genome institute is complete, but has not yet been published.
Therefore it is not included in our analyses (SI 1). **Projects to
sequence the genomes of barley and wheat are announced or in progress.
Phylogenetic relationships of notable and sequenced grass
species.
Branch lengths not to scale. *The genome sequencing of foxtail millet by
the joint genome institute is complete, but has not yet been published.
Therefore it is not included in our analyses (SI 1). **Projects to
sequence the genomes of barley and wheat are announced or in progress.The maize lineage, a branch that included both Zea and
Tripsacum, experienced a whole genome duplication an estimated
5–12 million years ago [10]–[12]. This duplication created two homeologs (syn. homoeologs,
ohnologs, syntenic paralogs) co-orthologous to single copy genes in other,
unduplicated, grass species. The nearest unduplicated outgroup species with a
sequenced genome is Sorghum bicolor. For many genes, the two
duplicated copies were functionally redundant and one copy or the other has been
lost from the genome of modern maize by an intrachromasomal recombination deletion
mechanism [13].
Pairs of chromosomes orthologous to each of the ten chromosomes of sorghum can be
reconstructed within the maize genome [14]. In all ten cases, one chromosome copy in maize has lost
a significantly greater proportion of genes conserved syntenically in rice and
sorghum across its entire length, and these chromosome copies are grouped together
into the maize2 subgenome, while the chromosome copies that experienced lower rates
of post-tetraploidy gene loss are grouped together into the maize1 subgenome [15].Here we show that the genes of interest to maize geneticists are much more likely to
be syntenically conserved across all grasses than the average gene supported by full
length cDNA evidence. We also found that maize genes identified by a mutant
phenotype are disproportionately found on maize1. The bias is true both for genes
with a retained duplicate from the whole genome duplication, and singletons whose
duplicate copies have been deleted. This finding was predicted by our previously
published hypothesis that deletions of duplicate gene copies from the maize1
subgenome are more likely to impact fitness than deletions of copies of the same
genes from maize2, as maize1 genes tend to be expressed at higher levels than their
duplicates on maize2 [15]. We provide all our data on gene locus to gene model
mapping, and identification of orthologous genes in other grasses and the
homeologous gene in maize, if present, locations in the hopes that these data will
be of use to others in the research and teaching community (Supplemental
Information S1).
Results
Comparing gene models of individually cloned genes to gene models released by
the maize genome sequencing consortium
Manual mapping of experimentally validated genes to the maize genome provided a
chance to error-check the version_2 gene models released by maizesequence.org.
Overall most gene models agreed with previously cloned gene model data (Supplemental
Information S1). Aside from missed UTR exons and the genes which were
classified as supported only by ab initio prediction despite
being supported by sequences in GenBank, the most frequent error we identified
were genes that had been split into multiple unlinked gene models by
maizesequence.org. This generally resulted from apparent mistakes in the
ordering of contigs within BACs. The overall error rate was substantially
reduced in the B73_refgen2 release, which increased the percent of contigs with
order and orientation information from 30 to 80% [16]. However this form of error
remains present in version 2. For example the coding sequence of the gene
aspartate kinase-homoserine dehydrogenase1 is split into
three separate gene models (Figure
2A).
Figure 2
Examples of manually identified errors in maize gene
annotations.
Graphics from GEvo comparative sequence alignment tool. Annotated cDNAs
from GenBank are compared to regions of the maize B73_refgen2 genome.
Features on the forward strand are displayed above the dotted line, and
features on the reserve strand are displayed below the line. Grey lines
mark the extent of gene models with CDS sequences in green and UTR
sequences in blue. Orange bars mark the gaps between assembled contigs
of the maize genome (stretches of N's). Red boxes connected by
lines show sequences identified as homologous by blastn. A. A comparison
of the coding sequence of aspartate kinase-homoserine
dehydrogenase1 to the region of maize chromosome 4 that
contains the three gene models –from left to right, GRMZM2G365423,
GRMZM2G389303, and GRMZM2G437977 -- among which the exons of this gene
have been divided. An interactive version of this graphic can be
regenerated in GEvo using the following link: http://genomevolution.org/r/25xh B. A comparison of
cytokinin oxidase1 to GRMZM2G146644, a gene model
which includes the 5' and 3' ends of cko1 but
has also incorporated unrelated exons from another maize genome contig.
Regenerate analysis: http://genomevolution.org/r/25s5 C. The coding sequence
of ferredoxin homeolog2 which maps to a region of the maize genome
annotated as the 3' UTR of GRMZM2G147266. Regenerate analysis:
http://genomevolution.org/r/25s7.
Examples of manually identified errors in maize gene
annotations.
Graphics from GEvo comparative sequence alignment tool. Annotated cDNAs
from GenBank are compared to regions of the maize B73_refgen2 genome.
Features on the forward strand are displayed above the dotted line, and
features on the reserve strand are displayed below the line. Grey lines
mark the extent of gene models with CDS sequences in green and UTR
sequences in blue. Orange bars mark the gaps between assembled contigs
of the maize genome (stretches of N's). Red boxes connected by
lines show sequences identified as homologous by blastn. A. A comparison
of the coding sequence of aspartate kinase-homoserine
dehydrogenase1 to the region of maize chromosome 4 that
contains the three gene models –from left to right, GRMZM2G365423,
GRMZM2G389303, and GRMZM2G437977 -- among which the exons of this gene
have been divided. An interactive version of this graphic can be
regenerated in GEvo using the following link: http://genomevolution.org/r/25xh B. A comparison of
cytokinin oxidase1 to GRMZM2G146644, a gene model
which includes the 5' and 3' ends of cko1 but
has also incorporated unrelated exons from another maize genome contig.
Regenerate analysis: http://genomevolution.org/r/25s5 C. The coding sequence
of ferredoxin homeolog2 which maps to a region of the maize genome
annotated as the 3' UTR of GRMZM2G147266. Regenerate analysis:
http://genomevolution.org/r/25s7.The most dramatic example of an erroneous gene model is provided by
cytokinin oxidase1, where the 5' and 3' regions
of the coding sequence mapped to the same gene model – GRMZM2G146644
– but the gene model included apparently unrelated exons from a contig
inserted between the two ends of cytokinin oxidase1 (Fig. 2B). In an additional two
cases – male sterile45 and ferritin
homolog2 -- the entire CDS of a gene mapped to regions annotated as
UTR (Figure 2C). We provide
proofing links in our master classical maize gene list so that a researcher can
immediately visualize obvious annotation problems using the GEvo comparative
genomics tool (a CoGe application) used to generate Figure 2 (Supplemental
Information S1) [17].
Comparing human to computational identification of maize genes using known
sequences
Subsequent to the February, 2010 release of our initial version of classical
maize gene list to the maize genetics community, maizesequence.org released a
list of gene models mapped to named loci in the MaizeGDB database using the Xref
computational pipeline (http://www.maizesequence.org/info/docs/namedgenes.html).
Comparing their machine-annotated dataset to our version 2 list, we identified
152 cases of overlapping assignment of classical maize genes and named maize
genes (Supplemental Information S1). The remaining 316 classical maize
genes identified by manual annotation were not caught by the computational
pipeline. In 140 of the overlapping cases, both lists assigned loci to the same
gene model. The remaining 12 cases were further investigated using multiple
independent GenBank records, as well as genetic location data recorded on
MaizeGDB locus pages. In two cases the Xref assignment was clearly correct and
the appropriate corrections were made to our list. In nine cases sequence and
genetic location data supported the manual assignment over that of Xref. No
conclusion could be reached in the final case.
Identification of orthologs of classical maize genes in other grasses
The current release of the maize genome – B73_refgen2 – contains over
110,000 annotated genes, many of which have already been identified as gene
fragments or genes encoding transposon related proteins. To develop a subset of
genes comparable to our classical gene list we adopted an approach used
previously [18] restricting ourselves to the subset of annotated
maize genes supported by sequenced full length cDNA evidence (see Methods) [19], [20]. In total we identified
34,579 genes supported by full length cDNAs including 81.9% of the unique
genes on our classical maize gene list and 75% of the unique genes which
were originally identified by a visible mutant phenotype.Using the online syntenic analysis tool SynMap [21], we found that, compared to
the average maize gene supported by full length cDNA evidence, classical maize
genes, including those with known mutant phenotypes, are much more likely to
possess conserved homologs at orthologous syntenic locations – true
orthologs -- in Japonica rice, sorghum, and brachypodium (Figure 3).
Figure 3
Syntenic conservation of the classical maize genes in other
grasses.
Comparison of the proportion of genes identified by a mutant phenotype
prior to cloning (N = 111), all classical maize
genes (N = 464), and all maize genes supported by
full length cDNA evidence (N = 34579) for which
syntenic orthologs could be identified in the other three grass species
with sequenced genomes: sorghum, rice, and brachypodium.
Syntenic conservation of the classical maize genes in other
grasses.
Comparison of the proportion of genes identified by a mutant phenotype
prior to cloning (N = 111), all classical maize
genes (N = 464), and all maize genes supported by
full length cDNA evidence (N = 34579) for which
syntenic orthologs could be identified in the other three grass species
with sequenced genomes: sorghum, rice, and brachypodium.
Distribution of classical maize genes and mutant phenotype genes between
subgenomes
The maize genome is comprised of two subgenomes maize1 and maize2 [15]. Each
subgenome is orthologous to the entire genomes of sorghum, rice, and
brachypodium. These other grass genomes have remained unduplicated since the
radiation of the grasses. The two subgenomes are distinguished by expression of
retained duplicate genes and gene loss rates. Maize1 genes tend to be expressed
at higher levels than their retained homeologs on maize2, and maize2 has lost
copies of more genes syntenically retained in other grass species than maize1
[15].The distribution of syntenically retained classical maize genes between the two
subgenomes of maize roughly mirrors that of all syntenically retained genes
supported by full length cDNA evidence. Figure 4 plots these data for all 34,579
genes supported by full length cDNA evidence, the 468 genes of the classical
gene list, and the subset of 102 genes on the classical gene list identified by
mutant phenotype prior to cloning. Given the bias towards greater expression of
maize1 homeologs, the slight bias towards higher numbers of maize1 genes with
retained homeologs among genes supported by full length cDNA evidence was
expected, but this finding is not of significant interest. However, among
syntenically retained genes which were first identified by a visible mutant
phenotype, the bias towards the maize1 subgenome is significantly greater than
for the classical maize gene list as a whole (p = .028,
Fisher Exact Test), and members of homeologous gene pairs located on maize1 were
twice as likely as the duplicate copies on maize2 to be originally identified by
mutant phenotype -- 29 maize1 genes with homeologs vs. 14 maize2 genes with
homeologs (significantly different from a 50/50 split
p = .0222, Chi-square test).
Figure 4
Distribution of classical maize genes between the two maize
subgenomes.
Comparison of the distribution of genes retained syntenically in at least
one other grass species between the two subgenomes of maize as well as
whether genes possess retained homeologs from the maize whole genome
duplication. For syntenically retained maize genes with full length cDNA
support N = 17956. For the subset of the classical
maize gene list that are syntenically retained
N = 429. For the subset of genes that were first
identified by mutant phenotype and are syntenically retained
N = 102.
Distribution of classical maize genes between the two maize
subgenomes.
Comparison of the distribution of genes retained syntenically in at least
one other grass species between the two subgenomes of maize as well as
whether genes possess retained homeologs from the maize whole genome
duplication. For syntenically retained maize genes with full length cDNA
support N = 17956. For the subset of the classical
maize gene list that are syntenically retained
N = 429. For the subset of genes that were first
identified by mutant phenotype and are syntenically retained
N = 102.
Discussion
The benefits of manual gene annotation
Our manual proofing of the classical maize gene list shows that, as tempting as
it may be to rely primarily on inexpensive in silico annotation
techniques, manual structural annotation provided a significant amount of
important information to B73_refgen2. Tools are available that allow interested
researchers to proof and improve the structural annotations of their favorite
genes [22].
Having those improvements incorporated into official genome annotations would
benefit the entire community.
Syntenic conservation of classical maize genes
The idea that genetic collinearity among the grasses could be used to accelerate
the research across the whole family is a venerable one [1], [2], [23]. Enthusiasm for this
concept of treating the grasses as a single genetic system waned as the
sequencing of multiple grass genomes demonstrated that a significant fraction of
transcribed genes are not syntenically retained across species, limiting the
benefits of cross-species mapping and trait dissection. Our finding that
37% of maize genes supported by full-length cDNA are not retained at a
syntenic position in other grass species, and almost 50% of cDNA
supported genes apparently inserted into their present locations prior to
divergence of the BEP clade, represented by both rice and brachypodium, is in
agreement with previous studies. Research in arabidopsis, using papaya as an
outgroup, estimated that half of all annotated genes in that species belonged to
a “gray” genome of genes which had transposed into nonsyntenic
positions within the last 70 million years [24]. A recent study in
Drosophila found that knockouts of recently inserted – within the last 35
million years – and ancient syntenically conserved genes produced lethal
phenotypes at statistically similar rates [25].Genes belonging to the gray genome of maize are essentially unexplored. The genes
of greatest interest historically seem to be precisely those that are retained
in the same syntenic position in the genomes of all grass species. It may be
that, in plants, genes essential for day to day function, such as those involved
in key biochemical and developmental pathways, are by definition less likely to
transpose or, when they transpose, are less likely to rise to fixation within a
species. A small but significant number of mutant genes in maize were identified
using map-based cloning approaches relying on rice synteny, prior to the
publication of the maize genome. While map-based cloning and comparison of maize
to rice certainly did occur, we think it unlikely that this explanation accounts
for the magnitude of our results.The techniques used in this paper allowed us to identify with high confidence,
lost or transposed genes by first identifying a predicted orthologous syntenic
location in the target grass genome. Even the genes which are not retained in
all species can be a starting point for hypothesis driven research, a use we
support via Gevo links to enable quick visual comparisons of orthologs or
predicted locations in multiple grass species (Supplemental
Information S1). For example, c1 and pl1 are two homeologous maize
genes that regulate the biosynthesis of anthocyanin. Both genes have been
studied extensively by the maize genetics community. A syntenic co-ortholog of
the two genes is retained in the genomes of both sorghum and rice. However the
gene is absent from orthologous region of the brachypodium genome (Figure S1)
which prompted us to investigate further and find the gene was not present
anywhere in the brachypodium genome (Figure S2). We conclude from this brief
research foray that this portion of the anthocyanin biosynthetic regulatory
pathway may be significantly different or completely absent in brachypodium,
opening avenues for further research.
Increased bias towards the maize1 subgenome of mutant phenotype genes
A bias towards maize1 for the classical maize genes was expected given the
greater total number of retained genes present in that subgenome. However, when
we examined the subset of the classical maize gene list identified by a mutant
phenotype prior to cloning, the bias of this dataset towards the dominant
subgenome – maize1 – was significantly greater than could be
explained by the difference in total gene numbers between the two subgenomes.
Interestingly this bias is also statistically significant for genes with a
retained homeolog on the opposite, homologous subgenome, maize2. Since there is
one gene copy present in each subgenome for this class of gene, a
priori evidence of gene function, the expectation was that
mutations of either copy would be about equally likely to produce a mutant
phenotype. This was not the case.Rather, our finding that maize1 is the preferred location of genes with mutant
phenotypes even when a homeologous duplicate is present suggests that the loss
of maize1 copies may be more likely to result in visible impacts of the sort
which might catch the eye of researchers, or farmers, in the field. As impacts
on plant morphology visible to researchers are likely to have a pronounced
impact on plant fitness, this finding is certainly consistent with our
previously published hypothesis that the deletion of a gene from maize1 is more
likely to be selected against than the deletion of the same gene from maize2
[15].The corollary is even more interesting: knockout phenotypes do not appear to be
behaving as if gene function was buffered by a duplicate copy of the same gene
expressed in the same cells. For the moment, our working hypothesis is that
maize1 gene copies have predominantly retained the ancestral function of the
gene in the pre-duplication ancestor of maize, leaving maize2 copies free to
potentially adopt new, or less essential functions. This prediction is fully
testable on a gene-by-gene basis through investigation of the function of
orthologous genes we identify in the closely related and unduplicated species
sorghum.
Conclusion
This pilot study demonstrates the usefulness of traditional genetics data in the
genomics era, and the importance of model species like maize with long histories
of genetic investigation. A large number of morphological mutants in maize
remain uncloned. The ability to identify high confidence orthologs in all grass
species with sequenced genomes combined with the unrivaled economic and
ecological significance of the Poaceae means investigation of a gene or gene
family in any one of these species can quickly benefit researchers working
around the world to answer a wide range of questions in different grass species.
We hope that the tools, datasets, and links provided here (Supplemental
Information S1), as well as our preliminary findings, will support
continued insights based on pan-grass comparative genetics.
Materials and Methods
Classical maize genes were identified from the list of maize loci maintained by
MaizeGDB [5],
[6] and
include genes with associated GenBank sequence records with greater than three
referencing papers in the database, additional cloned genes with known mutant
phenotypes, as well as genes added after soliciting community input. Genes were
initially mapped to the sequenced maize genome using LASTZ, and then visually
proofed and corrected using GEvo part of the CoGe comparative genomics platform
(http://genomevolution.org/CoGe/) [17]. These GEvo links are provided
to aid continued research and permit proofing and verification of our results.The full length cDNA-supported gene set was constructed using the 'semi-strict
assembly' collection of full length cDNAs provided by the maize cDNA project
(http://www.maizecdna.org) [19]. Full-length cDNAs were
aligned to B73_refgen2 gene models using LASTZ, and those models supported by a full
length cDNA with >95% identity and >90% coverage were included
in the set.Homeologous genes in maizes and orthologous genes in other grasses were identified
using SynMap [21]
with the optional Quota Align filters; SynMap is a web based tool available at
http://www.genomevolution.org/CoGe/SynMap.pl. When no syntenic gene
was identified, a predicted location was generated based on syntenically conserved
flanker genes. Predicted orthologous locations longer than 1 MB were excluded as
were predicted homeologous locations in maize longer than 2 MB. Our classical maize
gene list provides a GEvo link that permits quick visual comparisons among grass
orthologs and the predicted locations of deleted grass genes.Absence of a gene homologous to c1/pl1 in the predicted orthologous
location of brachypodium. GEvo Graphic (see legend of Figure 2) showing the
conservation of similar genes in the same positions up and downstream of the
homeologous maize genes colored alurone1 and purple
plant1. The same flanking genes are found in the same positions
relative to the single orthologous genes in the sorghum and rice genomes.
The location of these same genes has been used to predict the location where
an orthologous genes in brachypodium should be located, however no sequence
– annotated as a gene or otherwise – homologous to c1/pl1 is
present at the predicted location.(TIF)Click here for additional data file.The a maximum likelihood tree showing the phylogenetic relationships of
-like genes in maize, sorghum, rice, and
brachypodium. Based on syntenic location, these genes are
predicted to fall into three clades of orthologous genes marked in yellow,
green, and purple. The two genes most similar to c1/pl1 in brachypodium both
fall into separate gene clades based on both tree topology and syntenic
location.(TIF)Click here for additional data file.(XLS)Click here for additional data file.
Authors: Patrick S Schnable; Doreen Ware; Robert S Fulton; Joshua C Stein; Fusheng Wei; Shiran Pasternak; Chengzhi Liang; Jianwei Zhang; Lucinda Fulton; Tina A Graves; Patrick Minx; Amy Denise Reily; Laura Courtney; Scott S Kruchowski; Chad Tomlinson; Cindy Strong; Kim Delehaunty; Catrina Fronick; Bill Courtney; Susan M Rock; Eddie Belter; Feiyu Du; Kyung Kim; Rachel M Abbott; Marc Cotton; Andy Levy; Pamela Marchetto; Kerri Ochoa; Stephanie M Jackson; Barbara Gillam; Weizu Chen; Le Yan; Jamey Higginbotham; Marco Cardenas; Jason Waligorski; Elizabeth Applebaum; Lindsey Phelps; Jason Falcone; Krishna Kanchi; Thynn Thane; Adam Scimone; Nay Thane; Jessica Henke; Tom Wang; Jessica Ruppert; Neha Shah; Kelsi Rotter; Jennifer Hodges; Elizabeth Ingenthron; Matt Cordes; Sara Kohlberg; Jennifer Sgro; Brandon Delgado; Kelly Mead; Asif Chinwalla; Shawn Leonard; Kevin Crouse; Kristi Collura; Dave Kudrna; Jennifer Currie; Ruifeng He; Angelina Angelova; Shanmugam Rajasekar; Teri Mueller; Rene Lomeli; Gabriel Scara; Ara Ko; Krista Delaney; Marina Wissotski; Georgina Lopez; David Campos; Michele Braidotti; Elizabeth Ashley; Wolfgang Golser; HyeRan Kim; Seunghee Lee; Jinke Lin; Zeljko Dujmic; Woojin Kim; Jayson Talag; Andrea Zuccolo; Chuanzhu Fan; Aswathy Sebastian; Melissa Kramer; Lori Spiegel; Lidia Nascimento; Theresa Zutavern; Beth Miller; Claude Ambroise; Stephanie Muller; Will Spooner; Apurva Narechania; Liya Ren; Sharon Wei; Sunita Kumari; Ben Faga; Michael J Levy; Linda McMahan; Peter Van Buren; Matthew W Vaughn; Kai Ying; Cheng-Ting Yeh; Scott J Emrich; Yi Jia; Ananth Kalyanaraman; An-Ping Hsia; W Brad Barbazuk; Regina S Baucom; Thomas P Brutnell; Nicholas C Carpita; Cristian Chaparro; Jer-Ming Chia; Jean-Marc Deragon; James C Estill; Yan Fu; Jeffrey A Jeddeloh; Yujun Han; Hyeran Lee; Pinghua Li; Damon R Lisch; Sanzhen Liu; Zhijie Liu; Dawn Holligan Nagel; Maureen C McCann; Phillip SanMiguel; Alan M Myers; Dan Nettleton; John Nguyen; Bryan W Penning; Lalit Ponnala; Kevin L Schneider; David C Schwartz; Anupma Sharma; Carol Soderlund; Nathan M Springer; Qi Sun; Hao Wang; Michael Waterman; Richard Westerman; Thomas K Wolfgruber; Lixing Yang; Yeisoo Yu; Lifang Zhang; Shiguo Zhou; Qihui Zhu; Jeffrey L Bennetzen; R Kelly Dawe; Jiming Jiang; Ning Jiang; Gernot G Presting; Susan R Wessler; Srinivas Aluru; Robert A Martienssen; Sandra W Clifton; W Richard McCombie; Rod A Wing; Richard K Wilson Journal: Science Date: 2009-11-20 Impact factor: 47.728
Authors: Andrea L Eveland; Namiko Satoh-Nagasawa; Alexander Goldshmidt; Sandra Meyer; Mary Beatty; Hajime Sakai; Doreen Ware; David Jackson Journal: Plant Physiol Date: 2010-09-10 Impact factor: 8.340
Authors: Stephen A Goff; Darrell Ricke; Tien-Hung Lan; Gernot Presting; Ronglin Wang; Molly Dunn; Jane Glazebrook; Allen Sessions; Paul Oeller; Hemant Varma; David Hadley; Don Hutchison; Chris Martin; Fumiaki Katagiri; B Markus Lange; Todd Moughamer; Yu Xia; Paul Budworth; Jingping Zhong; Trini Miguel; Uta Paszkowski; Shiping Zhang; Michelle Colbert; Wei-lin Sun; Lili Chen; Bret Cooper; Sylvia Park; Todd Charles Wood; Long Mao; Peter Quail; Rod Wing; Ralph Dean; Yeisoo Yu; Andrey Zharkikh; Richard Shen; Sudhir Sahasrabudhe; Alun Thomas; Rob Cannings; Alexander Gutin; Dmitry Pruss; Julia Reid; Sean Tavtigian; Jeff Mitchell; Glenn Eldredge; Terri Scholl; Rose Mary Miller; Satish Bhatnagar; Nils Adey; Todd Rubano; Nadeem Tusneem; Rosann Robinson; Jane Feldhaus; Teresita Macalma; Arnold Oliphant; Steven Briggs Journal: Science Date: 2002-04-05 Impact factor: 47.728
Authors: Nickolai N Alexandrov; Vyacheslav V Brover; Stanislav Freidin; Maxim E Troukhan; Tatiana V Tatarinova; Hongyu Zhang; Timothy J Swaller; Yu-Ping Lu; John Bouck; Richard B Flavell; Kenneth A Feldmann Journal: Plant Mol Biol Date: 2008-10-21 Impact factor: 4.076
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