Cereals such as rice, wheat, maize, and barley are economically important crop plants. Rice was chosen as the first cereal genome to sequence due to its small genome size and importance as a food crop. The sequencing of the rice genome established it as a model for studying cereal genomes. Comparative genomics using rice and other sequenced cereal genomes can provide insights into crop improvement and maintaining high quality crops, with significant impacts on global quality of life.
A new era of genomics for plant science research has opened due the complete genome sequencing projects of Arabidopsis thaliana and rice. The sequence information available in public database has highlighted the need to develop genome scale reverse genetic strategies for functional analysis (Till et al., 2003). As most of the phenotypes are obscure, the forward genetics can hardly meet the demand of a high throughput and large-scale survey of gene functions. Targeting Induced Local Lesions in Genome TILLING is a general reverse genetic technique that combines chemical mutagenesis with PCR based screening to identity point mutations in regions of interest (McCallum et al., 2000). This strategy works with a mismatch-specific endonuclease to detect induced or natural DNA polymorphisms in genes of interest. A newly developed general reverse genetic strategy helps to locate an allelic series of induced point mutations in genes of interest. It allows the rapid and inexpensive detection of induced point mutations in populations of physically or chemically mutagenized individuals. To create an induced population with the use of physical/chemical mutagens is the first prerequisite for TILLING approach. Most of the plant species are compatible with this technique due to their self-fertilized nature and the seeds produced by these plants can be stored for long periods of time (Borevitz et al., 2003). The seeds are treated with mutagens and raised to harvest M1 plants, which are consequently, self-fertilized to raise the M2 population. DNA extracted from M2 plants is used in mutational screening (Colbert et al., 2001). To avoid mixing of the same mutation only one M2 plant from each M1 is used for DNA extraction (Till et al., 2007). The M3 seeds produce by selfing the M2 progeny can be well preserved for long term storage. Ethyl methane sulfonate (EMS) has been extensively used as a chemical mutagen in TILLING studies in plants to generate mutant populations, although other mutagens can be effective. EMS produces transitional mutations (G/C, A/T) by alkylating G residues which pairs with T instead of the conservative base pairing with C (Nagy et al., 2003). It is a constructive approach for users to attempt a range of chemical mutagens to assess the lethality and sterility on germinal tissue before creating large mutant populations.
A new era of genomics for plant science research has opened due the complete genome sequencing projects of Arabidopsis thaliana and rice. The sequence information available in public database has highlighted the need to develop genome scale reverse genetic strategies for functional analysis (Till et al., 2003). As most of the phenotypes are obscure, the forward genetics can hardly meet the demand of a high throughput and large-scale survey of gene functions. Targeting Induced Local Lesions in Genome TILLING is a general reverse genetic technique that combines chemical mutagenesis with PCR based screening to identity point mutations in regions of interest (McCallum et al., 2000). This strategy works with a mismatch-specific endonuclease to detect induced or natural DNA polymorphisms in genes of interest. A newly developed general reverse genetic strategy helps to locate an allelic series of induced point mutations in genes of interest. It allows the rapid and inexpensive detection of induced point mutations in populations of physically or chemically mutagenized individuals. To create an induced population with the use of physical/chemical mutagens is the first prerequisite for TILLING approach. Most of the plant species are compatible with this technique due to their self-fertilized nature and the seeds produced by these plants can be stored for long periods of time (Borevitz et al., 2003). The seeds are treated with mutagens and raised to harvest M1 plants, which are consequently, self-fertilized to raise the M2 population. DNA extracted from M2 plants is used in mutational screening (Colbert et al., 2001). To avoid mixing of the same mutation only one M2 plant from each M1 is used for DNA extraction (Till et al., 2007). The M3 seeds produce by selfing the M2 progeny can be well preserved for long term storage. Ethyl methane sulfonate (EMS) has been extensively used as a chemical mutagen in TILLING studies in plants to generate mutant populations, although other mutagens can be effective. EMS produces transitional mutations (G/C, A/T) by alkylating G residues which pairs with T instead of the conservative base pairing with C (Nagy et al., 2003). It is a constructive approach for users to attempt a range of chemical mutagens to assess the lethality and sterility on germinal tissue before creating large mutant populations.
Association mapping, also known as "linkage disequilibrium mapping", is a method of mapping quantitative trait loci (QTLs) that takes advantage of linkage disequilibrium to link phenotypes to genotypes.Varioius strategey involved in association mapping is discussed in this presentation
Marker Assisted Selection in Crop BreedingPawan Chauhan
Marker Assisted Selection is a value addition to conventional methods of Crop Breeding. It has been gaining importance in plant breeding with new generation of plant breeders and to get accurate and fast desired result from plant breeding.
Linkage and QTL mapping Populations and Association mapping population.
F2, Immortalized F2, Backcross (BC), Near isogenic lines (NIL), RIL, Double haploids(DH), Nested Association mapping (NAM), MAGIC and Interconnected populations.
A concise and well fabricated presentation the current techniques used for plant genome editing including CRISPER/cas9 system, TALENS, TELES, ZINC FINGER NUCLEASES(ZFN), HEJ (homologous endjoing) and many other high throughout techniques along references.
JGI: Genome size impacts on plant adaptationjrossibarra
Genome size may impact how plant genomes adapt, offering larger mutational targets leading to more adaptation from standing variation and more adaptation in noncoding regions.
Association mapping, also known as "linkage disequilibrium mapping", is a method of mapping quantitative trait loci (QTLs) that takes advantage of linkage disequilibrium to link phenotypes to genotypes.Varioius strategey involved in association mapping is discussed in this presentation
Marker Assisted Selection in Crop BreedingPawan Chauhan
Marker Assisted Selection is a value addition to conventional methods of Crop Breeding. It has been gaining importance in plant breeding with new generation of plant breeders and to get accurate and fast desired result from plant breeding.
Linkage and QTL mapping Populations and Association mapping population.
F2, Immortalized F2, Backcross (BC), Near isogenic lines (NIL), RIL, Double haploids(DH), Nested Association mapping (NAM), MAGIC and Interconnected populations.
A concise and well fabricated presentation the current techniques used for plant genome editing including CRISPER/cas9 system, TALENS, TELES, ZINC FINGER NUCLEASES(ZFN), HEJ (homologous endjoing) and many other high throughout techniques along references.
JGI: Genome size impacts on plant adaptationjrossibarra
Genome size may impact how plant genomes adapt, offering larger mutational targets leading to more adaptation from standing variation and more adaptation in noncoding regions.
Central & West Asia and North Africa: Where Wheat Improvement MattersCIMMYT
Presentation delivered by Dr. Mahmoud El Solh (Director General, ICARDA) at Borlaug Summit on Wheat for Food Security. March 25 - 28, 2014, Ciudad Obregon, Mexico.
http://www.borlaug100.org
Potential yields and yield gaps in wheat: the bases of wheat yield progressCIMMYT
Presentation delivered by Dr. Tony Fischer (CSIRO, Australia) at Borlaug Summit on Wheat for Food Security. March 25 - 28, 2014, Ciudad Obregon, Mexico.
http://www.borlaug100.org
Genome-wide association study (GWAS) technology has been a primary method for identifying the genes responsible for diseases and other traits for the past ten years. GWAS continues to be highly relevant as a scientific method. Over 2,000 human GWAS reports now appear in scientific journals. Our free eBook aims to explain the basic steps and concepts to complete a GWAS experiment.
Genetic Analysis of Teosinte Alleles for Kernel Composition Traits in MaizeCornell University
Teosinte (Zea mays ssp. parviglumis) is the wild ancestor of modern maize (Zea mays ssp.
mays). Teosinte contains greater genetic diversity compared with maize inbreds and landraces, but its
use is limited by insufficient genetic resources to evaluate its value. A population of teosinte near isogenic
lines (NILs) was previously developed to broaden the resources for genetic diversity of maize, and to
discover novel alleles for agronomic and domestication traits. The 961 teosinte NILs were developed by
backcrossing 10 geographically diverse parviglumis accessions into the B73 (reference genome inbred)
background. The NILs were grown in two replications in 2009 and 2010 in Columbia, MO and Aurora,
NY, respectively, and near infrared reflectance spectroscopy and nuclear magnetic resonance calibrations
were developed and used to rapidly predict total kernel starch, protein, and oil content on a dry matter
basis in bulk whole grains of teosinte NILs. Our joint-linkage quantitative trait locus (QTL) mapping analysis
identified two starch, three protein, and six oil QTL, which collectively explained 18, 23, and 45% of the
total variation, respectively. A range of strong additive allelic effects for kernel starch, protein, and oil
content were identified relative to the B73 allele. Our results support our hypothesis that teosinte harbors
stronger alleles for kernel composition traits than maize, and that teosinte can be exploited for the improvement
of kernel composition traits in modern maize germplasm.
Genetic Variability, Heritability and Genetic Advance of Kabuli Chickpea (Cic...Premier Publishers
The present study was carried out to assess the extent of genetic variability among yield and yield related traits in selected kabuli chickpea genotypes. Forty-nine kabuli chickpea genotypes were studied for thirteen traits at Debre Zeit and Akaki using 7x7 simple lattice design in 2018 cropping season. Combined analysis of variance revealed that there was a significant difference among genotypes for all traits studied, indicating the presence of considerable amount of variability among genotypes. High Phenotypic coefficients of variation and moderate genotypic coefficients of variation value were shown for number of pods per plant and number of seeds per plant, respectively, indicating the possibility of genetic improvement in selection of these traits. High broad sense heritability coupled with high genetic advance were obtained for hundred-seed weight (91.88 and 23.81), number of pods per plant (68.07 and 28.13), number of secondary branches (80.92 and 27.80), number of seeds per plant (67.86 and 31.840), grain yield (62.33 and 24.42) and harvest index (75.70 and 28.17), respectively. This indicates that these characters could be improved easily through selection.
Genome projects and their ContributionsAlbertPaul18
This is a presentation about different Genome projects like Rice genome project, Maize genome project, Wheat Genome project and Human genome project. It highlights how they were conducted and what the science community gained by conducting them. A side about the future challenges of such genome projects is also added.
Genetic Variability, Heritability And Genetic Advance For Vegetable Yield And...Premier Publishers
The present study was carried out to estimate the genetic variability for vegetable yield and yield-related traits among Ethiopian kale accessions. The experiment was carried out using 7x7 simple lattice design at Debre zeit Agricultural Research Center during 2017 main cropping season. The analysis of variance revealed highly significant differences (p<0.01) among accessions for all traits except days to second leaf picking. High genotypic coefficient of variation and phenotypic coefficient of variation were estimated for the number of leaves per plant, fresh leaf weight, dry leaf matter content, fresh biomass and leaf yield. High broad sense heritability coupled with high Genetic advance as the percent of mean were obtained for the number of leaves per plant, fresh leaf weight, dry leaf matter content, leaf width, leaf petiole length, leaf petiole thickness, fresh biomass and leaf yield. It can be concluded that variation generated for these traits is mainly due to genetic and moderate role of environmental factors and these were the most important for selection criteria in developing high yielding Ethiopian kale accession. In general, the present study revealed the presence of variability among accession for most studied traits.
Estimation of association among growth and yield related traits in Bread Whea...Premier Publishers
A total of twenty five bread wheat (Triticum aestivum L.) genotypes were evaluated for trait association and path coefficient analysis among yield and yield contributing traits at Gurage zone of two different environments. The genotypes were grown in triplicate randomized complete block design. Data were collected on 13 agronomic characters. It was found results that grain yield showed positive and significant correlations with above ground biomass, tillers per plant, kernel per spike, spikelet per spike and plant height at Fereziye and negatively correlated with tiller per plant (rg= -0.535) and plant height (rg= -0.284) at Kotergedra. Selection on the basis of positive association of grain yield with its contributing traits may be helpful to improve grain yield of wheat. Path coefficient analysis revealed that above ground biomass and tillers per plant exerted high and favorable direct effects on grain yield at Fereziye. Both genotypic and phenotypic correlation and path coefficient analysis revealed that grain filling period exerted high and favorable direct effect on grain yield at Kotergedra which indicated that selection on such traits may be useful to improve the grain yield. It was moreover suggested that the evaluation of wheat genotypes for grain yield under multi-zonal locations should be carried out to exploit more yield potential.
Investigation of Correlation Coefficient for Forage and Grain Yield with Rela...Premier Publishers
Oat (Avena sativa L.) is a staple worldwide in both human and animal nutrition. It is mainly grown for livestock, depending on its grain and forage yield in Turkey. This study was based on defining correlation coefficients of some oat genotypes (nine lines and three cultivars) in Konya, Turkey, among fodder and grain yields, and their components. The experimental design of this study was a randomized complete block design (RCBD) with three replications. The correlations were analyzed after harvesting at milk to dough period. The findings illustrated that there was a significant positive correlation between green fodder yield and leaf weights in ten stems, and grain yield and the number of panicles stems per square meter. The highest negative correlations was found between green fodder yield and the number of panicles stems per square meter, and grain yield and 50% flowering periods in addition to green fodder yield. This research suggests that the number of panicles stems per square meter and dry fodder yield would be selection criteria for grain yield. The number of leaves per stem, the number of nodes, and plant height would also be considered for green fodder yield by oat breeders in their program in Anatolia.
A number of developments have been made in the molecular biology of oat (Avena spp.) in recent years. Many of these were recently described at the Fourth International Oat Conference, held on 18 to 23 October, in Adelaide, South Australia. These advances include a report of oat transformation and regeneration, the characterisation of J3-glucanase genes in oat, the further development of a molecular genetic map in oats, and the characterisation of genes encoding novel oat grain proteins. A technique for assessing pedigrees in the oat and other cereal crops has been reported using a modified electrophoretic technique.
A plant genome project aims to discover all genes and their function in a particular plant species.
The main objective of genomic research in any species is to sequence the whole genome and functions of all the different coding and non-coding sequences.
These techniques helped in preparation of molecular maps of many plant genomes.
Plant genome projects initially focused on a few model organisms that are characterized by small genomes or their amenability to genetic studies
Since sequencing technologies have moved on, sequencing cost have dropped and bioinformatics tools advanced, the genomes of many plant species including the enormous genome of bread wheat have been assembled
Genome sequencing projects have been carried out on all three plant genomes: the nuclear, chloroplast and mitochondrial genomes
This opened venues for advanced molecular breeding and manipulation of plant species, but also have accelerated phylogenetics studies amongst species
Several excellent curated plant genome databases, besides the general nucleotide data base archives, allow public access of plant genomes
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
2. Cereal crop
FAO's definition of cereals describes these plants as annual plants
which generally belong to the gramineous family, producing grains that
are used for food, feed, seed and production of industrial products.
Cereal Crops:
Rice
Wheat,
Corn or maize
Barley
Millet
Sorghum
Oat
Rye
3. introduction
The economic and scientific importance of the cereals has
motivated a rich history of research into their genetics,
development, and evolution.
The nearly completed sequence of the rice genome is
emblematic of a transition to high-throughput genomics
and computational biology that has also pervaded study of
many other cereals.
4. The relatively close (ca. <50 million years old)
relationships among morphologically diverse cereals
native to environments that sample much of global
geographic diversity make the cereals particularly
attractive for comparative studies of plant genome
evolution.
5. Using the rapidly growing capabilities of several
informatics resources, genomic data from model
cereals are likely to be leveraged tremendously in the
study and improvement of a wide range of crop plants
that sustain much of the world's population
7. The sequence of the japonica cultivar Nipponbare was
recently completed by a consortium of 10 countries,
which comprised the International Rice Genome
Sequencing Project (IRGSP)
8. Using the rapidly growing capabilities of several
informatics resources, genomic data from model
cereals are likely to be leveraged tremendously in the
study and improvement of a wide range of crop plants
that sustain much of the world's population
9. Rice:
Rice is considered a model cereal crop because it has a
relatively small genome size as compared with other
cereals, a vast germplasm collection, an enormous
repertoire of molecular genetic resources, and an
efficient transformation system.
The scientific value of rice is further enhanced with
the elucidation of the genome sequence of the two
major subspecies of cultivated rice, Oryza sativa ssp.
10. Conti…..
For this reason and because of its small size, rice was
promoted as a model and was chosen to be the first
cereal genome sequenced.
Further, the development of large EST collections and
the first inter- and intra-specific comparative studies
of BAC sequences from maize, sorghum, rice, wheat
and barley have increased the resolution of
comparative analyses and have shown that a number
of rearrangements disrupting microcolinearity have
occurred during the evolution of the cereal genomes in
the past 50–70 million years.
11. development of molecular markers, and for
identifying the region in the model species that might
contain candidate genes responsible for a trait of
interest. Rice (2n = 24), having a small genome and
great economic significance, was the first grass species
selected for genome sequencing
18. Wheat genome:
A U.S. National Science Foundation-funded wheat
expressed sequence tag (EST) project has been studying
the structure and function of the expressed portion of the
wheat genome by mapping wheat unigenes to individual
chromosome regions. Representative ESTs, each belonging
to one of the unigenes
(http://wheat.pw.usda.gov/NSF/progress_mapping.html)
were used for mapping in the wheat genome utilizing 101
wheat deletion stocks, each of which contain a deletion of a
defined part of a chromosome (Endo and Gill 1996),
referred to as deletion mapping. As of November 2002, over
100,000 ESTs from various tissues of wheat at different
stages of development have been sequenced, and 4485
wheat unigenes have been deletion mapped by this project.
20. Conti….
The wheat whole genome sequence data provides
direct access to all 96,000 genes and represents an
essential step towards a systematic understanding of
biology and engineering .
The cereal crop for valuable traits. Its implications in
cereal genetics and breeding includes the examination
of genome variation, association mapping using
natural populations.
21. Maize genome:
The 21st century finds maize in the process of being
sequenced. With an estimated 2300-2600 Mb of
chromosomal DNA (6× rice and 20× Arabidopsis), of
which at least 60% is retrotransposon.
• the maize genome has initially been “filtered” to
enhance its production(Rabinowicz et al. 1999) or low-
repeat (Peterson et al. 2002a; Yuan et al. 2003)
sequence—before shotgun sequencing (Whitelaw et
al. 2003)
22. Cont…..
Maize (n = 10) is a recent domesticate of the tropical
grass (Doebley 2004). The most recent maize whole-
genome duplication happened approximately 12 Mya
(Gaut and Doebley 1997).
23. Sorghum genome:
The most detailed sorghum sequence-tagged site (STS)-
based map is from a cross between Sorghum bicolor (SB)
and S. propinquum (SP), comprising 2512 restriction
fragment length polymorphism loci that span 1059.2 cM
(Bowers et al. 2003).
A total of 865 heterologous probes link the sorghum map
to those of Saccharum (sugarcane: Ming et al. 1998), Zea
(maize: Bowers et al. 2003), Oryza (rice: Paterson et al.
1995, 2004), Pennisetum (millet, buffelgrass: Jessup et al.
2003), the Triticeae (wheat, barley, oat, rye), Panicum
(switchgrass: Missaoui et al. 2005), and Cynodon
(bermudagrass: C. Bethel, E. Sciara, J. Estill, W. Hanna, and
A.H. Paterson, in prep.).
24. Sorghum was the first plant for which a BAC library
was reported (Woo et al. 1994). Physical maps of both
SB and SP have been constructed and genetically
25. The consensus comparative map of seven grass species shows how the
genomes can be aligned in terms of "rice linkage blocks" (Gale & Devos,
1998). A radial line starting at rice, the smallest genome and innermost
circle, passes through regions of similar gene content in the other species.
Therefore a gene in one grass species has a predicted location in a number
of other grass species. This observation has driven much sharing among
researchers working on the various grass species (Phillips & Freeling,
1998).
26. Conclusion:
It can help us in comparative genomics.
Itcan also help in crop improvement.
It can also help for maintanace of better quaity crops.
Overall impact on the quality of life on earth.