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1.
Genomic-based root plasticity to enhance abiotic stress adaptation and edible yield in grain crops.
Dwivedi, SL, Stoddard, FL, Ortiz, R
Plant science : an international journal of experimental plant biology. 2020;:110365
Abstract
Phenotypic plasticity refers to changes expressed by a genotype across different environments and is one of the major means by which plants cope with environmental variability. Multi-fold differences in phenotypic plasticity have been noted across crops, with wild ancestors and landraces being more plastic than crops when under stress. Plasticity in response to abiotic stress adaptation, plant architecture, physio-reproductive and quality traits are multi-genic (QTL). Plasticity QTL (pQTL) were either collocated with main effect QTL and QEI (QTL × environment interaction) or located independently from the main effect QTL. For example, variations in root plasticity have been successfully introgressed to enhance abiotic stress adaptation in rice. The independence of genetic control of a trait and of its plasticity suggests that breeders may select for high or low plasticity in combination with high or low performance of economically important traits. Trait plasticity in stressful environments may be harnessed through breeding stress-tolerant crops. There exists a genetic cost associated with plasticity, so a better understanding of the trade-offs between plasticity and productivity is warranted prior to undertaking breeding for plasticity traits together with productivity in stress environments.
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2.
A critical look on CRISPR-based genome editing in plants.
Ahmad, N, Rahman, MU, Mukhtar, Z, Zafar, Y, Zhang, B
Journal of cellular physiology. 2020;(2):666-682
Abstract
Clustered regularly interspaced short palindromic repeats (CRISPR)-based genome editing, derived from prokaryotic immunity system, is rapidly emerging as an alternative platform for introducing targeted alterations in genomes. The CRISPR-based tools have been deployed for several other applications including gene expression studies, detection of mutation patterns in genomes, epigenetic regulation, chromatin imaging, etc. Unlike the traditional genetic engineering approaches, it is simple, cost-effective, and highly specific in inducing genetic variations. Despite its popularity, the technology has limitations such as off-targets, low mutagenesis efficiency, and its dependency on in-vitro regeneration protocols for the recovery of stable plant lines. Several other issues such as persisted CRISPR activity in subsequent generations, the potential for transferring to its wild type population, the risk of reversion of edited version to its original phenotype particularly in cross-pollinated plant species when released into the environment and the scarcity of validated targets have been overlooked. This article briefly highlights these undermined aspects, which may challenge the wider applications of this platform for improving crop genetics.
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3.
Genetic and genomic resources of sorghum to connect genotype with phenotype in contrasting environments.
Boyles, RE, Brenton, ZW, Kresovich, S
The Plant journal : for cell and molecular biology. 2019;(1):19-39
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Abstract
With the recent development of genomic resources and high-throughput phenotyping platforms, the 21st century is primed for major breakthroughs in the discovery, understanding and utilization of plant genetic variation. Significant advances in agriculture remain at the forefront to increase crop production and quality to satisfy the global food demand in a changing climate all while reducing the environmental impacts of the world's food production. Sorghum, a resilient C4 grain and grass important for food and energy production, is being extensively dissected genetically and phenomically to help connect the relationship between genetic and phenotypic variation. Unlike genetically modified crops such as corn or soybean, sorghum improvement has relied heavily on public research; thus, many of the genetic resources serve a dual purpose for both academic and commercial pursuits. Genetic and genomic resources not only provide the foundation to identify and understand the genes underlying variation, but also serve as novel sources of genetic and phenotypic diversity in plant breeding programs. To better disseminate the collective information of this community, we discuss: (i) the genomic resources of sorghum that are at the disposal of the research community; (ii) the suite of sorghum traits as potential targets for increasing productivity in contrasting environments; and (iii) the prospective approaches and technologies that will help to dissect the genotype-phenotype relationship as well as those that will apply foundational knowledge for sorghum improvement.
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4.
African Orphan Crops Consortium (AOCC): status of developing genomic resources for African orphan crops.
Hendre, PS, Muthemba, S, Kariba, R, Muchugi, A, Fu, Y, Chang, Y, Song, B, Liu, H, Liu, M, Liao, X, et al
Planta. 2019;(3):989-1003
Abstract
The African Orphan Crops Consortium (AOCC) successfully initiated the ambitious genome sequencing project of 101 African orphan crops/trees with 6 genomes sequenced, 6 near completion, and 20 currently in progress. Addressing stunting, malnutrition, and hidden hunger through nutritious, economic, and resilient agri-food system is one of the major agricultural challenges of this century. As sub-Saharan Africa harbors a large portion of the severely malnourished population, the African Orphan Crops Consortium (AOCC) was established in 2011 with an aim to reduce stunting and malnutrition by providing nutritional security through improving locally adapted nutritious, but neglected, under-researched or orphan African food crops. Foods from these indigenous or naturalized crops and trees are rich in minerals, vitamins, and antioxidant, and are an integral part of the dietary portfolio and cultural, social, and economic milieu of African farmers. Through stakeholder consultations supported by the African Union, 101 African orphan and under-researched crop species were prioritized to mainstream into African agri-food systems. The AOCC, through a network of international-regional-public-private partnerships and collaborations, is generating genomic resources of three types, i.e., reference genome sequence, transcriptome sequence, and re-sequencing 100 accessions/species, using next-generation sequencing (NGS) technology. Furthermore, the University of California Davis African Plant Breeding Academy under the AOCC banner is training 150 lead African scientists to breed high yielding, nutritious, and climate-resilient (biotic and abiotic stress tolerant) crop varieties that meet African farmer and consumer needs. To date, one or more forms of sequence data have been produced for 60 crops. Reference genome sequences for six species have already been published, 6 are almost near completion, and 19 are in progress.
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5.
The CRISPR/Cas9 system and its applications in crop genome editing.
Bao, A, Burritt, DJ, Chen, H, Zhou, X, Cao, D, Tran, LP
Critical reviews in biotechnology. 2019;(3):321-336
Abstract
The CRISPR/Cas9 (clustered regularly interspaced short palindromic repeats/CRISPR associated protein9) system is an RNA-guided genome editing tool that consists of a Cas9 nuclease and a single-guide RNA (sgRNA). By base-pairing with a DNA target sequence, the sgRNA enables Cas9 to recognize and cut a specific target DNA sequence, generating double strand breaks (DSBs) that trigger cell repair mechanisms and mutations at or near the DSBs sites. Since its discovery, the CRISPR/Cas9 system has revolutionized genome editing and is now becoming widely utilized to edit the genomes of a diverse range of crop plants. In this review, we present an overview of the CRISPR/Cas9 system itself, including its mechanism of action, system construction strategies, and the screening methods used to identify mutants containing edited genes. We evaluate recent examples of the use of CRISPR/Cas9 for crop plant improvement, and research into the function(s) of genes involved in determining crop yields, quality, environmental stress tolerance/resistance, regulation of gene transcription and translation, and the construction of mutant libraries and production of transgene-free genome-edited crops. In addition, challenges and future opportunities for the use of the CRISPR/Cas9 system in crop breeding are discussed.
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6.
Non-coding RNAs and transposable elements in plant genomes: emergence, regulatory mechanisms and roles in plant development and stress responses.
Hou, J, Lu, D, Mason, AS, Li, B, Xiao, M, An, S, Fu, D
Planta. 2019;(1):23-40
Abstract
This review will provide evidence for the indispensable function of these elements in regulating plant development and resistance to biotic and abiotic stresses, as well as their evolutionary role in facilitating plant adaptation. Over millions of years of evolution, plant genomes have acquired a complex constitution. Plant genomes consist not only of protein coding sequences, but also contain large proportions of non-coding sequences. These include introns of protein-coding genes, and intergenic sequences such as non-coding RNA, repeat sequences and transposable elements. These non-coding sequences help to regulate gene expression, and are increasingly being recognized as playing an important role in genome organization and function. In this review, we summarize the known molecular mechanisms by which gene expression is regulated by several species of non-coding RNAs (microRNAs, long non-coding RNAs, and circular RNAs) and by transposable elements. We further discuss how these non-coding RNAs and transposable elements evolve and emerge in the genome, and the potential influence and importance of these non-coding RNAs and transposable elements in plant development and in stress responses.
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7.
Converging phenomics and genomics to study natural variation in plant photosynthetic efficiency.
van Bezouw, RFHM, Keurentjes, JJB, Harbinson, J, Aarts, MGM
The Plant journal : for cell and molecular biology. 2019;(1):112-133
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Abstract
In recent years developments in plant phenomic approaches and facilities have gradually caught up with genomic approaches. An opportunity lies ahead to dissect complex, quantitative traits when both genotype and phenotype can be assessed at a high level of detail. This is especially true for the study of natural variation in photosynthetic efficiency, for which forward genetics studies have yielded only a little progress in our understanding of the genetic layout of the trait. High-throughput phenotyping, primarily from chlorophyll fluorescence imaging, should help to dissect the genetics of photosynthesis at the different levels of both plant physiology and development. Specific emphasis should be directed towards understanding the acclimation of the photosynthetic machinery in fluctuating environments, which may be crucial for the identification of genetic variation for relevant traits in food crops. Facilities should preferably be designed to accommodate phenotyping of photosynthesis-related traits in such environments. The use of forward genetics to study the genetic architecture of photosynthesis is likely to lead to the discovery of novel traits and/or genes that may be targeted in breeding or bio-engineering approaches to improve crop photosynthetic efficiency. In the near future, big data approaches will play a pivotal role in data processing and streamlining the phenotype-to-gene identification pipeline.
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8.
Trait discovery and editing in tomato.
Rothan, C, Diouf, I, Causse, M
The Plant journal : for cell and molecular biology. 2019;(1):73-90
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Abstract
Tomato (Solanum lycopersicum), which is used for both processing and fresh markets, is a major crop species that is the top ranked vegetable produced over the world. Tomato is also a model species for research in genetics, fruit development and disease resistance. Genetic resources available in public repositories comprise the 12 wild related species and thousands of landraces, modern cultivars and mutants. In addition, high quality genome sequences are available for cultivated tomato and for several wild relatives, hundreds of accessions have been sequenced, and databases gathering sequence data together with genetic and phenotypic data are accessible to the tomato community. Major breeding goals are productivity, resistance to biotic and abiotic stresses, and fruit sensorial and nutritional quality. New traits, including resistance to various biotic and abiotic stresses and root architecture, are increasingly being studied. Several major mutations and quantitative trait loci (QTLs) underlying traits of interest in tomato have been uncovered to date and, thanks to new populations and advances in sequencing technologies, the pace of trait discovery has considerably accelerated. In recent years, clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 gene editing (GE) already proved its remarkable efficiency in tomato for engineering favorable alleles and for creating new genetic diversity by gene disruption, gene replacement, and precise base editing. Here, we provide insight into the major tomato traits and underlying causal genetic variations discovered so far and review the existing genetic resources and most recent strategies for trait discovery in tomato. Furthermore, we explore the opportunities offered by CRISPR/Cas9 and their exploitation for trait editing in tomato.
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9.
Edit at will: Genotype independent plant transformation in the era of advanced genomics and genome editing.
Kausch, AP, Nelson-Vasilchik, K, Hague, J, Mookkan, M, Quemada, H, Dellaporta, S, Fragoso, C, Zhang, ZJ
Plant science : an international journal of experimental plant biology. 2019;:186-205
Abstract
The combination of advanced genomics, genome editing and plant transformation biology presents a powerful platform for basic plant research and crop improvement. Together these advances provide the tools to identify genes as targets for direct editing as single base pair changes, deletions, insertions and site specific homologous recombination. Recent breakthrough technologies using morphogenic regulators in plant transformation creates the ability to introduce reagents specific toward their identified targets and recover stably transformed and/or edited plants which are genotype independent. These technologies enable the possibility to alter a trait in any variety, without genetic disruption which would require subsequent extensive breeding, but rather to deliver the same variety with one trait changed. Regulatory issues regarding this technology will predicate how broadly these technologies will be implemented. In addition, education will play a crucial role for positive public acceptance. Taken together these technologies comprise a platform for advanced breeding which is an imperative for future world food security.
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10.
High-throughput phenotyping for crop improvement in the genomics era.
Mir, RR, Reynolds, M, Pinto, F, Khan, MA, Bhat, MA
Plant science : an international journal of experimental plant biology. 2019;:60-72
Abstract
Tremendous progress has been made with continually expanding genomics technologies to unravel and understand crop genomes. However, the impact of genomics data on crop improvement is still far from satisfactory, in large part due to a lack of effective phenotypic data; our capacity to collect useful high quality phenotypic data lags behind the current capacity to generate high-throughput genomics data. Thus, the research bottleneck in plant sciences is shifting from genotyping to phenotyping. This article review the current status of efforts made in the last decade to systematically collect phenotypic data to alleviate this 'phenomics bottlenecks' by recording trait data through sophisticated non-invasive imaging, spectroscopy, image analysis, robotics, high-performance computing facilities and phenomics databases. These modern phenomics platforms and tools aim to record data on traits like plant development, architecture, plant photosynthesis, growth or biomass productivity, on hundreds to thousands of plants in a single day, as a phenomics revolution. It is believed that this revolution will provide plant scientists with the knowledge and tools necessary for unlocking information coded in plant genomes. Efforts have been also made to present the advances made in the last 10 years in phenomics platforms and their use in generating phenotypic data on different traits in several major crops including rice, wheat, barley, and maize. The article also highlights the need for phenomics databases and phenotypic data sharing for crop improvement. The phenomics data generated has been used to identify genes/QTL through QTL mapping, association mapping and genome-wide association studies (GWAS) for genomics-assisted breeding (GAB) for crop improvement.