Ming-Cheng Luo

Dr. Ming-Cheng Luo

orcid

Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 August 2018 in Science
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T(The International Wheat Genome Sequencing Consortium (IWGSC)
The International Wheat Genome Sequencing Consortium (IWGSC)
RARudi Appels
Rudi Appels
KEKellye Eversole
Kellye Eversole
NSNils Stein
Nils Stein
CFCatherine Feuillet
Catherine Feuillet
LWLe Wang
Le Wang
Insights from the annotated wheat genome: Wheat is one of the major sources of food for much of the world. However, because bread wheat's genome is a large hybrid mix of three separate subgenomes, it has been difficult to produce a high-quality reference sequence. Using recent advances in sequencing, the International Wheat Genome Sequencing Consortium presents an annotated reference genome with a detailed analysis of gene content among subgenomes and the structural organization for all the chromosomes. Examples of quantitative trait mapping and CRISPR-based genome modification show the potential for using this genome in agricultural research and breeding. Ramírez-Gonzálezet al.exploited the fruits of this endeavor to identify tissue-specific biased gene expression and coexpression networks during development and exposure to stress. These resources will accelerate our understanding of the genetic basis of bread wheat.Science, this issue p.eaar7191; see also p.eaar6089

20 March 2014 in Plant Biotechnology Journal
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SWShichen Wang
Shichen Wang
DWDebbie Wong
Debbie Wong
KFKerrie Forrest
Kerrie Forrest
AAAlexandra Allen
Alexandra Allen
SCShiaoman Chao
Shiaoman Chao
EAEduard Akhunov
Eduard Akhunov
Summary: High‐density single nucleotide polymorphism (SNP) genotyping arrays are a powerful tool for studying genomic patterns of diversity, inferring ancestral relationships between individuals in populations and studying marker–trait associations in mapping experiments. We developed a genotyping array including about 90 000 gene‐associated SNPs and used it to characterize genetic variation in allohexaploid and allotetraploid wheat populations. The array includes a significant fraction of common genome‐wide distributed SNPs that are represented in populations of diverse geographical origin. We used density‐based spatial clustering algorithms to enable high‐throughput genotype calling in complex data sets obtained for polyploid wheat. We show that these model‐free clustering algorithms provide accurate genotype calling in the presence of multiple clusters including clusters with low signal intensity resulting from significant sequence divergence at the target SNP site or gene deletions. Assays that detect low‐intensity clusters can provide insight into the distribution of presence–absence variation (PAV) in wheat populations. A total of 46 977 SNPs from the wheat 90K array were genetically mapped using a combination of eight mapping populations. The developed array and cluster identification algorithms provide an opportunity to infer detailed haplotype structure in polyploid wheat and will serve as an invaluable resource for diversity studies and investigating the genetic basis of trait variation in wheat.

27 January 2013 in Nature Biotechnology
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Rajeev VarshneyRajeev Varshney
Rajeev Varshney
CSChi Song
Chi Song
RSRachit K Saxena
Rachit K Saxena
SASarwar Azam
Sarwar Azam
SYSheng Yu
Sheng Yu
Douglas CookDouglas Cook
Douglas Cook
Chickpea (Cicer arietinum) is the second most widely grown legume crop after soybean, accounting for a substantial proportion of human dietary nitrogen intake and playing a crucial role in food security in developing countries. We report the ∼ 738-Mb draft whole genome shotgun sequence of CDC Frontier, a kabuli chickpea variety, which contains an estimated 28,269 genes. Resequencing and analysis of 90 cultivated and wild genotypes from ten countries identifies targets of both breeding-associated genetic sweeps and breeding-associated balancing selection. Candidate genes for disease resistance and agronomic traits are highlighted, including traits that distinguish the two main market classes of cultivated chickpea—desi and kabuli. These data comprise a resource for chickpea improvement through molecular breeding and provide insights into both genome diversity and domestication.

28 November 2012 in Nature
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RBRachel Brenchley
Rachel Brenchley
MSManuel Spannagl
Manuel Spannagl
MPMatthias Pfeifer
Matthias Pfeifer
GBGary L. A. Barker
Gary L. A. Barker
RDRosalinda D’aMore
Rosalinda D’aMore
NHNeil Hall
Neil Hall
Bread wheat (Triticum aestivum) is a globally important crop, accounting for 20 per cent of the calories consumed by humans. Major efforts are underway worldwide to increase wheat production by extending genetic diversity and analysing key traits, and genomic resources can accelerate progress. But so far the very large size and polyploid complexity of the bread wheat genome have been substantial barriers to genome analysis. Here we report the sequencing of its large, 17-gigabase-pair, hexaploid genome using 454 pyrosequencing, and comparison of this with the sequences of diploid ancestral and progenitor genomes. We identified between 94,000 and 96,000 genes, and assigned two-thirds to the three component genomes (A, B and D) of hexaploid wheat. High-resolution synteny maps identified many small disruptions to conserved gene order. We show that the hexaploid genome is highly dynamic, with significant loss of gene family members on polyploidization and domestication, and an abundance of gene fragments. Several classes of genes involved in energy harvesting, metabolism and growth are among expanded gene families that could be associated with crop productivity. Our analyses, coupled with the identification of extensive genetic variation, provide a resource for accelerating gene discovery and improving this major crop.

24 April 2008 in Nature
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RMRay Ming
Ray Ming
SHShaobin Hou
Shaobin Hou
YFYun Feng
Yun Feng
Qingyi YuQingyi Yu
Qingyi Yu
ADAlexandre Dionne-Laporte
Alexandre Dionne-Laporte
MAMaqsudul Alam
Maqsudul Alam
In the early 1990s an outbreak of papaya ringspot virus (PRSV) in the papaya groves in the Puna district of Hawaii caused severe damage to an important crop. Since then, the planting of two transgenic cultivars resistant to the virus — called 'SunUp' and 'Rainbow' — has helped to maintain yields. SunUp is a transgenic red-fleshed fruit that expresses the coat protein gene of a mild mutant of PRSV, conferring resistance via post-transcriptional gene silencing. Rainbow is a yellow-fleshed (and therefore more popular) F1 hybrid bred from SunUp. Now the draft genome sequence of the SunUp strain of papaya has been determined — a first for a commercial virus-resistant transgenic fruit tree. Comparison of this plant genome to those of Arabidopsis and others sheds light on the evolution of qualities such as biosynthesis, starch deposition, control of photosynthesis and pathways for creating the volatile compounds that contribute to the characteristic flavour of papaya. On the cover, the disease-free transgenic Rainbow and the severely infected, stunted and dying non-transgenic Sunrise grow in adjoining plots. Researchers from Hawaii and an international consortium have produced a draft genome assembly for 'SunUp', the first commercial virus-resistant transgenic fruit tree. Comparison of this plant genome to those of Arabidopsis and others sheds light on evolution of characteristics such as biosynthesis, starch deposition, control of photosynthesis and pathways for creating volatile compounds. Papaya, a fruit crop cultivated in tropical and subtropical regions, is known for its nutritional benefits and medicinal applications. Here we report a 3× draft genome sequence of ‘SunUp’ papaya, the first commercial virus-resistant transgenic fruit tree1 to be sequenced. The papaya genome is three times the size of the Arabidopsis genome, but contains fewer genes, including significantly fewer disease-resistance gene analogues. Comparison of the five sequenced genomes suggests a minimal angiosperm gene set of 13,311. A lack of recent genome duplication, atypical of other angiosperm genomes sequenced so far2,3,4,5, may account for the smaller papaya gene number in most functional groups. Nonetheless, striking amplifications in gene number within particular functional groups suggest roles in the evolution of tree-like habit, deposition and remobilization of starch reserves, attraction of seed dispersal agents, and adaptation to tropical daylengths. Transgenesis at three locations is closely associated with chloroplast insertions into the nuclear genome, and with topoisomerase I recognition sites. Papaya offers numerous advantages as a system for fruit-tree functional genomics, and this draft genome sequence provides the foundation for revealing the basis of Carica’s distinguishing morpho-physiological, medicinal and nutritional properties.

24 March 2013 in Nature
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HLHong-Qing Ling
Hong-Qing Ling
SZShancen Zhao
Shancen Zhao
DLDongcheng Liu
Dongcheng Liu
JWJunyi Wang
Junyi Wang
HSHua Sun
Hua Sun
JWJun Wang
Jun Wang
Bread wheat (Triticum aestivum, AABBDD) is one of the most widely cultivated and consumed food crops in the world. However, the complex polyploid nature of its genome makes genetic and functional analyses extremely challenging. The A genome, as a basic genome of bread wheat and other polyploid wheats, for example, T. turgidum (AABB), T. timopheevii (AAGG) and T. zhukovskyi (AAGGAmAm), is central to wheat evolution, domestication and genetic improvement1. The progenitor species of the A genome is the diploid wild einkorn wheat T. urartu2, which resembles cultivated wheat more extensively than do Aegilops speltoides (the ancestor of the B genome3) and Ae. tauschii (the donor of the D genome4), especially in the morphology and development of spike and seed. Here we present the generation, assembly and analysis of a whole-genome shotgun draft sequence of the T. urartu genome. We identified protein-coding gene models, performed genome structure analyses and assessed its utility for analysing agronomically important genes and for developing molecular markers. Our T. urartu genome assembly provides a diploid reference for analysis of polyploid wheat genomes and is a valuable resource for the genetic improvement of wheat.