Download Four newly-identified genes could improve rice

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Polymorphism (biology) wikipedia , lookup

Human genetic variation wikipedia , lookup

Twin study wikipedia , lookup

Site-specific recombinase technology wikipedia , lookup

Nutriepigenomics wikipedia , lookup

Population genetics wikipedia , lookup

Metagenomics wikipedia , lookup

Behavioural genetics wikipedia , lookup

Essential gene wikipedia , lookup

Polycomb Group Proteins and Cancer wikipedia , lookup

X-inactivation wikipedia , lookup

Genetic engineering wikipedia , lookup

Heritability of IQ wikipedia , lookup

Genetically modified crops wikipedia , lookup

Pathogenomics wikipedia , lookup

Gene expression programming wikipedia , lookup

Gene wikipedia , lookup

Genome evolution wikipedia , lookup

Public health genomics wikipedia , lookup

Genomic imprinting wikipedia , lookup

Artificial gene synthesis wikipedia , lookup

RNA-Seq wikipedia , lookup

Ridge (biology) wikipedia , lookup

Minimal genome wikipedia , lookup

History of genetic engineering wikipedia , lookup

Epigenetics of human development wikipedia , lookup

Designer baby wikipedia , lookup

Quantitative trait locus wikipedia , lookup

Biology and consumer behaviour wikipedia , lookup

Gene expression profiling wikipedia , lookup

Microevolution wikipedia , lookup

Genome (book) wikipedia , lookup

Transcript
Four newly-identified genes could improve
rice
27 June 2016
as genome-wide association studies (GWAS),
frequently used to analyze human genes, uses data
from many extant individuals to analyze genes in a
short time span. Various plant species have also
been analyzed using this method, but there have
been very few cases of successful analysis.
In order to produce results using GWAS analysis,
the research team limited their targets to 176
Japanese rice cultivars, including 86 cultivars used
in Japanese-sake brewing that Kobe University has
maintained over many years. Using next-generation
sequencing, the group determined the whole
sequence of each cultivar, and discovered a total of
493,881 of the DNA-based polymorphisms.
The GWAS results for genes that influence flowering
dates. The known genes Hd1, Hd2, and Hd6 were
located, together with two newly-identified genes that
also affect flowering dates. Credit: Kobe University
A Japanese research team have applied a method
used in human genetic analysis to rice and rapidly
discovered four new genes that are potentially
significant for agriculture. These findings could
influence crop breeding and help combat food
shortages caused by a growing population. The
paper was published on June 21, 2016 (Japan
Standard Time) in the online edition of Nature
Genetics.
Selective crop improvement based on plant
genetics and breeding is essential to support the
world's growing population. In order to efficiently
breed new crop varieties it is necessary to rapidly
identify the genes related to high crop yields and
analyze what makes them special.
Two main methods for gene identification: QTL analysis
and genome-wide association study (GWAS). This time
the team focused on GWAS. Credit: Kobe University
Based on these results, the team carried out
GWAS analysis on each trait and rapidly identified
Until now the genetic analysis of crops has mainly four genes within a group of 12 rice plant
been based on quantitative trait loci (QTL) analysis chromosomes. Chromosome 1 contains a gene
that decides rice flowering date; chromosome 4
, but this method requires time to develop
experimental populations. Another method known contains a gene that influences panicle number
1/2
produced, leaf breadth, and rice grain number; a
chromosome 8 gene affects awn length (a factor
which influences harvesting); and a gene within
chromosome 11 decides flowering date, plant
height, and panicle length.
Genetic analysis of plants based on GWAS has
been carried out many times but with limited
success. The success of this experiment could aid
the discovery of genes in other plant and animal
species and potentially contribute towards solving
food shortages caused by population growth. The
Japanese rice varieties maintained by Kobe
University and used in this research could be used
as valuable genetic resources to help identify other
genes and breed new crop species.
More information: Kenji Yano et al. Genomewide association study using whole-genome
sequencing rapidly identifies new genes influencing
agronomic traits in rice, Nature Genetics (2016).
DOI: 10.1038/ng.3596
Provided by Kobe University
APA citation: Four newly-identified genes could improve rice (2016, June 27) retrieved 10 May 2017
from https://phys.org/news/2016-06-newly-identified-genes-rice.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.
2/2
Powered by TCPDF (www.tcpdf.org)