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      WAPO-A1 is the causal gene of the 7AL QTL for spikelet number per spike in wheat

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          Abstract

          Improving our understanding of the genes regulating grain yield can contribute to the development of more productive wheat varieties. Previously, a highly significant QTL affecting spikelet number per spike (SNS), grain number per spike (GNS) and grain yield was detected on chromosome arm 7AL in multiple genome-wide association studies. Using a high-resolution genetic map, we established that the A-genome homeolog of WHEAT ORTHOLOG OF APO1 ( WAPO-A1) was a leading candidate gene for this QTL. Using mutants and transgenic plants, we demonstrate in this study that WAPO-A1 is the causal gene underpinning this QTL. Loss-of-function mutants wapo-A1 and wapo-B1 showed reduced SNS in tetraploid wheat, and the effect was exacerbated in wapo1 combining both mutations. By contrast, spikes of transgenic wheat plants carrying extra copies of WAPO-A1 driven by its native promoter had higher SNS, a more compact spike apical region and a smaller terminal spikelet than the wild type. Taken together, these results indicate that WAPO1 affects SNS by regulating the timing of terminal spikelet formation. Both transgenic and wapo1 mutant plants showed a wide range of floral abnormalities, indicating additional roles of WAPO1 on wheat floral development. Previously, we found three widespread haplotypes in the QTL region (H1, H2 and H3), each associated with particular WAPO-A1 alleles. Results from this and our previous study show that the WAPO-A1 allele in the H1 haplotype (115-bp deletion in the promoter) is expressed at significantly lower levels in the developing spikes than the alleles in the H2 and H3 haplotypes, resulting in reduced SNS. Field experiments also showed that the H2 haplotype is associated with the strongest effects in increasing SNS and GNS (H2>H3>H1). The H2 haplotype is already present in most modern common wheat varieties but is rare in durum wheat, where it might be particularly useful to improve grain yield.

          Author summary

          A region on wheat chromosome 7A has been previously shown to affect the number of spikelets and grains per spike as well as total grain yield in multiple breeding programs. In this study, we show that loss-of-function mutations in the WAPO1 gene located within this region reduce the number of spikelets per spike and that additional transgenic copies of this gene increase this number. These results demonstrate that WAPO1 is the gene responsible for the differences in grain number and yield associated with the 7A chromosome region. Among the three main variants identified for this gene, we demonstrate in field experiments that the H2 variant is associated with the largest increases in number of spikelets and grains per spike. The H2 WAPO1 variant is frequent in bread wheat breeding programs but is almost absent in modern pasta wheat varieties. Therefore, the introgression of the H2 represents a promising opportunity to improve grain yield in pasta wheat.

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          A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity.

          Clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) systems provide bacteria and archaea with adaptive immunity against viruses and plasmids by using CRISPR RNAs (crRNAs) to guide the silencing of invading nucleic acids. We show here that in a subset of these systems, the mature crRNA that is base-paired to trans-activating crRNA (tracrRNA) forms a two-RNA structure that directs the CRISPR-associated protein Cas9 to introduce double-stranded (ds) breaks in target DNA. At sites complementary to the crRNA-guide sequence, the Cas9 HNH nuclease domain cleaves the complementary strand, whereas the Cas9 RuvC-like domain cleaves the noncomplementary strand. The dual-tracrRNA:crRNA, when engineered as a single RNA chimera, also directs sequence-specific Cas9 dsDNA cleavage. Our study reveals a family of endonucleases that use dual-RNAs for site-specific DNA cleavage and highlights the potential to exploit the system for RNA-programmable genome editing.
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            A GRF-GIF chimeric protein improves the regeneration efficiency of transgenic plants

            The potential of genome editing to improve the agronomic performance of crops is often limited by low plant regeneration efficiencies and few transformable genotypes. Here, we show that expression of a fusion protein combining wheat GROWTH-REGULATING FACTOR 4 (GRF4) and its cofactor GRF-INTERACTING FACTOR 1 (GIF1) substantially increases the efficiency and speed of regeneration in wheat, triticale and rice and increases the number of transformable wheat genotypes. GRF4-GIF1 transgenic plants were fertile and without obvious developmental defects. Moreover, GRF4-GIF1 induces efficient wheat regeneration in the absence of exogenous cytokinins, which facilitates selection of transgenic plants without selectable markers. We also combined GRF4-GIF1 with CRISPR-Cas9 genome editing, generating 30 edited wheat plants with disruptions in the gene Q (AP2L-A5). Finally, we show that a dicot GRF-GIF chimera improves regeneration efficiency in citrus, suggesting that this strategy can be applied to dicot crops.
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              Uncovering hidden variation in polyploid wheat.

              Comprehensive reverse genetic resources, which have been key to understanding gene function in diploid model organisms, are missing in many polyploid crops. Young polyploid species such as wheat, which was domesticated less than 10,000 y ago, have high levels of sequence identity among subgenomes that mask the effects of recessive alleles. Such redundancy reduces the probability of selection of favorable mutations during natural or human selection, but also allows wheat to tolerate high densities of induced mutations. Here we exploited this property to sequence and catalog more than 10 million mutations in the protein-coding regions of 2,735 mutant lines of tetraploid and hexaploid wheat. We detected, on average, 2,705 and 5,351 mutations per tetraploid and hexaploid line, respectively, which resulted in 35-40 mutations per kb in each population. With these mutation densities, we identified an average of 23-24 missense and truncation alleles per gene, with at least one truncation or deleterious missense mutation in more than 90% of the captured wheat genes per population. This public collection of mutant seed stocks and sequence data enables rapid identification of mutations in the different copies of the wheat genes, which can be combined to uncover previously hidden variation. Polyploidy is a central phenomenon in plant evolution, and many crop species have undergone recent genome duplication events. Therefore, the general strategy and methods developed herein can benefit other polyploid crops.
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                Author and article information

                Contributors
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: VisualizationRole: Writing – review & editing
                Role: InvestigationRole: MethodologyRole: ResourcesRole: SupervisionRole: VisualizationRole: Writing – review & editing
                Role: ResourcesRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: SupervisionRole: VisualizationRole: Writing – review & editing
                Role: ResourcesRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: SupervisionRole: VisualizationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                13 January 2022
                January 2022
                : 18
                : 1
                : e1009747
                Affiliations
                [1 ] Department of Plant Sciences, University of California, Davis, California, United States of America
                [2 ] Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America
                [3 ] Peking University Institute of Advanced Agricultural Sciences, Weifang, Shandong, China
                [4 ] Institute for Plant Genetics, Heinrich Heine University, Duesseldorf, Germany
                [5 ] Cluster of Excellence on Plant Sciences “SMART Plants for Tomorrow’s Needs”, Heinrich Heine University, Duesseldorf, Germany
                "USDA-ARS Pacific West Area", UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                ‡ SK and HL contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-2789-7906
                https://orcid.org/0000-0003-1833-2559
                https://orcid.org/0000-0003-4634-8451
                https://orcid.org/0000-0002-8617-4356
                https://orcid.org/0000-0002-1498-5707
                https://orcid.org/0000-0001-6625-2073
                https://orcid.org/0000-0002-7915-7363
                https://orcid.org/0000-0002-7571-4345
                Article
                PGENETICS-D-21-00999
                10.1371/journal.pgen.1009747
                8791482
                35025863
                1dbd8b26-1af3-4229-bf39-081d4cdf101c
                © 2022 Kuzay et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 26 July 2021
                : 18 December 2021
                Page count
                Figures: 8, Tables: 1, Pages: 25
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100005825, national institute of food and agriculture;
                Award ID: 2017-67007-25939 (WheatCAP)
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000011, howard hughes medical institute;
                Award ID: Continuous funding
                Award Recipient :
                Funded by: life sciences research fundation
                Award ID: Fellowship
                Award Recipient :
                JD received support for this project from the Agriculture and Food Research Initiative Competitive Grants 2017-67007-25939 (WheatCAP), USDA National Institute of Food and Agriculture (NIFA, https://nifa.usda.gov/) and from the Howard Hughes Medical Institute ( https://www.hhmi.org/). The USDA-NIFA grant supported the salaries of SK, JZ and SC. The Howard Hughes Medical Institute supported the salaries of JD, HL, CL and DW. DW is a Howard Hughes Medical Institute Fellow of the Life Sciences Research Foundation ( http://www.lsrf.org/) that paid his salary for three years. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Grasses
                Wheat
                Biology and Life Sciences
                Bioengineering
                Biotechnology
                Genetic Engineering
                Genetically Modified Organisms
                Genetically Modified Plants
                Engineering and Technology
                Bioengineering
                Biotechnology
                Genetic Engineering
                Genetically Modified Organisms
                Genetically Modified Plants
                Biology and Life Sciences
                Bioengineering
                Biotechnology
                Plant Biotechnology
                Genetically Modified Plants
                Engineering and Technology
                Bioengineering
                Biotechnology
                Plant Biotechnology
                Genetically Modified Plants
                Biology and Life Sciences
                Plant Science
                Plant Biotechnology
                Genetically Modified Plants
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Genetically Modified Plants
                Biology and Life Sciences
                Genetics
                Heredity
                Genetic Mapping
                Haplotypes
                Biology and Life Sciences
                Plant Science
                Plant Anatomy
                Flower Anatomy
                Pistils
                Biology and Life Sciences
                Genetics
                Heredity
                Homozygosity
                Biology and Life Sciences
                Genetics
                Departures from Diploidy
                Polyploidy
                Tetraploidy
                Biology and Life Sciences
                Plant Science
                Plant Anatomy
                Flower Anatomy
                Stamens
                Physical Sciences
                Mathematics
                Statistics
                Statistical Data
                Custom metadata
                vor-update-to-uncorrected-proof
                2022-01-26
                We deposited the Kronos near isogenic line with the H2 introgression in the National Small Grains Collection (PI 698810). All data are presented in the text and supplementary materials. The raw data for all figures and Supplemental Tables are available in S1 Data file.

                Genetics
                Genetics

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