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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2023.1247014</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Available cloned genes and markers for genetic improvement of biotic stress resistance in rice</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Simon</surname>
<given-names>Eliza Vie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2357347"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hechanova</surname>
<given-names>Sherry Lou</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hernandez</surname>
<given-names>Jose E.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/570067"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Charng-Pei</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>T&#xfc;lek</surname>
<given-names>Adnan</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ahn</surname>
<given-names>Eok-Keun</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jairin</surname>
<given-names>Jirapong</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2360716"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Choi</surname>
<given-names>Il-Ryong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/43101"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sundaram</surname>
<given-names>Raman M.</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jena</surname>
<given-names>Kshirod K.</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Kim</surname>
<given-names>Sung-Ryul</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/518246"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Rice Breeding Innovation Department, International Rice Research Institute (IRRI)</institution>, <addr-line>Laguna</addr-line>, <country>Philippines</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Institute of Crop Science (ICropS), University of the Philippines Los Ba&#xf1;os</institution>, <addr-line>Laguna</addr-line>, <country>Philippines</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Taiwan Agricultural Research Institute (TARI), Council of Agriculture</institution>, <country>Taiwan</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Trakya Agricultural Research Institute</institution>, <addr-line>Edirne</addr-line>, <country>T&#xfc;rkiye</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>National Institute of Crop Science, Rural Development Administration (RDA)</institution>, <country>Republic of Korea</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Division of Rice Research and Development, Rice Department</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>ICAR-Indian Institute of Rice Research, Rajendranagar</institution>, <addr-line>Hyderabad</addr-line>, <country>India</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>School of Biotechnology, KIIT Deemed University</institution>, <addr-line>Bhubaneswar, Odisha</addr-line>, <country>India</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Ting Peng, Henan Agricultural University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Parameswaran C, ICAR-National Rice Research Institute, India; Md Shamim, Bihar Agricultural University, India</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Sung-Ryul Kim, <email xlink:href="mailto:s.r.kim@irri.org">s.r.kim@irri.org</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>09</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1247014</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>08</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Simon, Hechanova, Hernandez, Li, T&#xfc;lek, Ahn, Jairin, Choi, Sundaram, Jena and Kim</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Simon, Hechanova, Hernandez, Li, T&#xfc;lek, Ahn, Jairin, Choi, Sundaram, Jena and Kim</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Biotic stress is one of the major threats to stable rice production. Climate change affects the shifting of pest outbreaks in time and space. Genetic improvement of biotic stress resistance in rice is a cost-effective and environment-friendly way to control diseases and pests compared to other methods such as chemical spraying. Fast deployment of the available and suitable genes/alleles in local elite varieties through marker-assisted selection (MAS) is crucial for stable high-yield rice production. In this review, we focused on consolidating all the available cloned genes/alleles conferring resistance against rice pathogens (virus, bacteria, and fungus) and insect pests, the corresponding donor materials, and the DNA markers linked to the identified genes. To date, 48 genes (independent loci) have been cloned for only major biotic stresses: seven genes for brown planthopper (BPH), 23 for blast, 13 for bacterial blight, and five for viruses. Physical locations of the 48 genes were graphically mapped on the 12 rice chromosomes so that breeders can easily find the locations of the target genes and distances among all the biotic stress resistance genes and any other target trait genes. For efficient use of the cloned genes, we collected all the publically available DNA markers (~500 markers) linked to the identified genes. In case of no available cloned genes yet for the other biotic stresses, we provided brief information such as donor germplasm, quantitative trait loci (QTLs), and the related papers. All the information described in this review can contribute to the fast genetic improvement of biotic stress resistance in rice for stable high-yield rice production.</p>
</abstract>
<kwd-group>
<kwd>biotic stress</kwd>
<kwd>marker-assisted selection</kwd>
<kwd>brown planthopper</kwd>
<kwd>blast</kwd>
<kwd>bacterial blight</kwd>
<kwd>marker</kwd>
<kwd>rice</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="178"/>
<page-count count="18"/>
<word-count count="10500"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Plant Breeding</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Rice (<italic>Oryza sativa</italic> L.) is a staple food of more than 50% of the world&#x2019;s population; notably, it is the most important crop in Asian countries. Recently, rice consumption has been rapidly increasing in Africa as well (<xref ref-type="bibr" rid="B136">Seck et&#xa0;al., 2012</xref>). Stable high-yield production of rice is highly associated with global food security (<xref ref-type="bibr" rid="B11">Bandumula, 2018</xref>). However, rice plants are inevitably encountering pressing challenges from different types of biotic/abiotic stresses that cause significant rice grain yield reduction (<xref ref-type="bibr" rid="B80">Khush, 2005</xref>; <xref ref-type="bibr" rid="B34">Dixit et&#xa0;al., 2020</xref>). Biotic stresses caused by pests and diseases pose a significant risk to global rice yield production by 52%, of which approximately 30% of these damages are due to pathogen infection (<xref ref-type="bibr" rid="B134">Savary et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B69">Jamaloddin et&#xa0;al., 2021</xref>). In addition, global climate change is a major threat to global food security (<xref ref-type="bibr" rid="B135">Schneider and Asch, 2020</xref>). A changing climate will influence the distribution and possibly the impact of rice diseases (<xref ref-type="bibr" rid="B12">Bebber, 2015</xref>; <xref ref-type="bibr" rid="B21">Chaloner et&#xa0;al., 2021</xref>) as well as host and disease interactions, mechanism, reproduction, and survival of pathogens (<xref ref-type="bibr" rid="B152">Vel&#xe1;squez et&#xa0;al., 2018</xref>).</p>
<p>Rice plants are attacked by diverse biotic agents, including insect pests, fungal and bacterial pathogens, and viruses. The prevalence of species of pathogens and biotypes/pathotypes is variable based on the environmental condition and geographical locations. Over the past decades, outbreaks due to pests and diseases have caused serious economic damage to rice-growing countries from time to time, locally and globally. For instance, some devastating damage from brown planthopper (BPH) infestation has been reported in different years in many rice-growing countries, including tropical and temperate Asia (<xref ref-type="bibr" rid="B37">Dyck and Thomas, 1979</xref>; <xref ref-type="bibr" rid="B71">Jena and Kim, 2010</xref>). Rice blast disease causes a loss of rice yield sufficient to feed 60 million people worldwide (<xref ref-type="bibr" rid="B39">Fahad et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B140">Singh et&#xa0;al., 2020</xref>). As a viral disease, a series of large-scale outbreaks of tungro were recorded in many tropical Asian countries, and it causes yield losses of 5% to 10% annually (<xref ref-type="bibr" rid="B29">Dai and Beachy, 2009</xref>). In Africa, rice yellow mottle virus (RYMV) is one of the most problematic biotic stresses, it reduces grain yield by 10%&#x2013;100%, and severe attacks can lead to plant death (<xref ref-type="bibr" rid="B83">Kouassi et&#xa0;al., 2005</xref>). Still, today, severe biotic stress damage is reported in local or national media, implying that biotic stress damage affects local rice farmers, particularly small and marginal farmers.</p>
<p>There are several practical methods used to control pathogens, such as chemical spraying, crop rotation, field management, and host resistance. Among these, genetic improvement of host resistance by introgression of resistance genes through breeding and cultivation of resistant varieties is the most cost-effective and environmental-friendly strategy for controlling biotic agents. Thus, much effort has been exerted by scientists and breeders in isolating germplasms possessing resistance to a variety of biotic stresses from cultivars, landraces, and wild rice species in the genus <italic>Oryza</italic>. Through genetic analysis, they have also identified the genetic factors (quantitative trait loci (QTLs)/genes) that provide resistance from the isolated germplasm.</p>
<p>Once the genetic factors conferring biotic stress resistance are identified, they can be easily and effectively transferred to the target background varieties by marker-assisted selection (MAS) compared to the conventional phenotype-based selection. DNA markers that can discriminate the alleles (sequences) between the donor and elite susceptible variety play important roles in efficiently deploying the identified genetic factors. Different types of molecular markers have been developed based on the types of sequence variations (short or long InDels and single-nucleotide polymorphisms (SNPs)) and successfully applied in the genetics and breeding of rice. Among them, the PCR-gel-based markers such as simple sequence repeat (SSR) markers, also called rice microsatellite (RM) markers, InDel markers, dominant PCR markers, tetra-primer method markers, and cleaved amplified polymorphic sequence (CAPS: PCR-restriction enzyme application-gel) markers are the most common in rice MAS breeding due to simplicity, in-house accessibility, and easiness to breeders (<xref ref-type="bibr" rid="B104">McCouch et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B22">Chen H, et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B155">Wang et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B81">Kim et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B110">Nadeem et&#xa0;al., 2018</xref>).</p>
<p>To improve the genetic potential of biotic stress resistance through MAS, two key factors are essential: genetic factors (QTLs and genes) and molecular tools (DNA markers). Compared to the QTL level of genetic factors, the cloned genes/alleles have some advantages: i) the genetic effect will be quite reliable because it was functionally validated by using transgenic approaches such as complementation test, RNAi, and CRISPR tools; ii) the exact physical location of the gene is identified, and thus, it enables a precision marker-assisted introgression of the target gene without linkage drag caused by the neighboring genes. Many biotic stress resistance genes were cloned from cultivars, landraces, and wild rice germplasm possessing &#x201c;natural variations&#x201d;, but some of the genes were identified by transgenic approaches such as overexpression, RNAi, and CRISPR and also by using rice T-DNA tagging lines. Several review papers already covered recent advances in understanding the molecular mechanism of biotic stress resistances for BPH (<xref ref-type="bibr" rid="B166">Yan et&#xa0;al., 2023</xref>), blast (<xref ref-type="bibr" rid="B95">Liu W, et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B90">Li et&#xa0;al., 2019</xref>), and bacterial blight (<xref ref-type="bibr" rid="B77">Jiang et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B126">Pradhan et&#xa0;al., 2020</xref>) and also broad-spectrum disease resistance in rice (<xref ref-type="bibr" rid="B79">Ke et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B99">Liu et&#xa0;al., 2021</xref>). In this review, we focused on consolidating all the available cloned genes/alleles with corresponding donors possessing &#x201c;natural variations&#x201d; and all the related DNA markers for the breeding aspects. In addition, we briefly described some review papers and recent publications about the QTLs or germplasm if the cloned genes are not available for specific pathogens. We aimed to provide breeding-related information so that breeders can easily select the available resistant genes/alleles and the associated markers for the fast deployment of the proper genes/alleles in their breeding programs to deal with stable high-yield rice production and climate change.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Precision marker-assisted breeding by using the cloned genes/alleles</title>
<p>Deployment of QTLs and genes through marker-assisted breeding has been successfully improving the genetic potential of target traits in many crops. However, occasional acquisition of biotic stress resistance by the breeding process used to be associated with yield penalties in crops (<xref ref-type="bibr" rid="B17">Brown, 2002</xref>) and also grain quality in rice (<xref ref-type="bibr" rid="B43">Fukuoka et&#xa0;al., 2009</xref>) probably due to the presence of unfavorable genes located in the vicinity of the target biotic stress resistance locus (also called linkage drag). Thus, precise introgression of biotic stress resistance genes through marker-assisted breeding of the cloned genes can reduce unexpected penalties in yield, grain qualities, and also other agronomic traits in the final breeding products. Recent advances in DNA sequencing, genotyping technologies, genome-wide association study (GWAS), functional genomics, and gene validation by using transgenic approaches have been accelerating the identification of the causal genes governing the target traits. Notably, many biotic stress resistance genes from the previously identified major QTLs have been gradually cloned. The cloned genes/alleles possessing natural variations are valuable for the genetic improvement of biotic stress resistance in rice. Furthermore, unlike QTL level genetic factors (more than several hundred kb), breeders can precisely introgress the gene (100 kb) using marker-based recombinant selection to avoid unwanted phenotypes caused by linkage drag in the final breeding lines because the exact physical location of the causal gene is clearly known. To date, 48 genes have been cloned for the major rice biotic stress, including bacterial blight (BB), blast, BPH, and rice viruses. The cloned gene names, gene IDs of rice databases (RAP-DB and MSU), encoding proteins, the physical location of the genes, donor germplasm, and its original research papers are summarized in this review. In some cases, the previously reported major QTLs from different sources were identified as the same gene (same locus) with different alleles (different sequences). For example, <italic>BPH1</italic>=<italic>BPH10</italic>=<italic>BPH18</italic>=<italic>BPH21</italic>/<italic>BPH2</italic>=<italic>BPH26</italic>/<italic>BHP7</italic>/<italic>BPH9</italic> on the long arm of Chr 12 (&#x201c;=&#x201c; and &#x201c;/&#x201d; means identical and different alleles, respectively) and <italic>Pi9</italic>/<italic>Pi2</italic>/<italic>Piz-t</italic>/<italic>Pi50</italic>/<italic>PigmR</italic> on the short arm of Chr 6 are the different resistant alleles but the same locus. Due to the same physical locations, those alleles cannot be pyramided, and thus, the potential best allele should be selected and used in the breeding program. In this review, we focused on the cloned biotic stress resistance genes with the gene-linked markers. Moreover, we briefly mentioned some genetic resources such as QTLs or donor materials if there are no cloned genes yet for some biotic stresses.</p>
</sec>
<sec id="s3">
<label>3</label>
<title>Insect pests and available genetic resources</title>
<p>Globally, more than 100 species of insects attack rice plants, and approximately 20 of them can cause economic damage (<xref ref-type="bibr" rid="B120">Pathak and Khan, 1994</xref>). Major insect pests of rice are stem borers, leafhoppers and planthoppers, gall midges, and grain-sucking bugs. Efforts to isolate the resistant germplasm and genetic factors against insect pests identified a number of QTLs for the major insect pests. At the gene level, a handful of genes were cloned for only BPH resistance, but to date, no genes have been cloned yet for other insect pest resistance. Here, we described BPH resistance genes cloned and some genetic resources (QTLs and donor sources) for other insect pests.</p>
<sec id="s3_1">
<label>3.1</label>
<title>Brown planthopper (<italic>Nilaparvata lugens</italic>)</title>
<p>Among the major insect pests, BPH is one of the most destructive pests, especially in Asian countries including both tropical and temperate zones, causing severe economic loss to the rice crop through directly sucking phloem sap, often causing &#x201c;hopper burn&#x201d;, and it serves as a vector for transmission of rice ragged stunt virus (RRSV) and rice grassy stunt virus (RGSV) (<xref ref-type="bibr" rid="B19">Cabauatan et&#xa0;al., 2009</xref>). To date, more than 45 genetic loci providing BPH resistance have been identified from diverse plant materials, including cultivars, landraces, and wild rice species. Among them, seven genes (seven independent loci) comprising 10 different alleles for BPH resistance were cloned, that is, <italic>BPH14</italic>, <italic>BPH30</italic>, <italic>BPH17</italic>, <italic>BPH6</italic>, <italic>BPH29</italic>, <italic>BPH32</italic>=<italic>BPH3</italic>, and <italic>BPH1</italic>=<italic>BPH10</italic>=<italic>BPH18</italic>=<italic>BPH21</italic>/<italic>BPH2</italic>=<italic>BPH26</italic>/<italic>BHP7</italic>/<italic>BPH9</italic>. The cloned genes with physical locations, RAPDB/MSU gene ID, protein encoded, donor sources, and corresponding references are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. <italic>BPH14</italic> gene encoding nucleotide-binding site (NBS) and leucine-rich repeats (LRRs), &#x201c;NBS-LRR&#x201d; or &#x201c;NLR&#x201d; in short, was first cloned from the previously mapped <italic>Qbp1</italic> on Chr 3 of the <italic>Oryza officinalis</italic> introgression by genetic mapping and following transgenic complementation test (<xref ref-type="bibr" rid="B36">Du et&#xa0;al., 2009</xref>). With similar approaches, the <italic>BPH17</italic> QTL on Chr 4S of the Sri Lankan rice variety, Rathu Heenati (<xref ref-type="bibr" rid="B144">Sun et&#xa0;al., 2005</xref>), revealed that three repeats of lectin receptor kinase gene (<italic>OsLecRK1-OsLecRK3</italic>) are responsible for BPH resistance (<xref ref-type="bibr" rid="B97">Liu et&#xa0;al., 2015</xref>). However, <xref ref-type="bibr" rid="B97">Liu et&#xa0;al. (2015)</xref> named the gene identified from the <italic>BPH17</italic> QTL as <italic>BPH3</italic> gene, and thus, it might cause confusion with the original <italic>BPH3</italic> QTL mapped on Chr 6S of donors (PTB33 and Rathu Heenati varieties) (<xref ref-type="bibr" rid="B68">Jairin et&#xa0;al., 2007</xref>). To avoid confusion, we followed the original <italic>BPH17</italic> QTL name as <italic>BPH17</italic> gene name in this review. Afterward, <xref ref-type="bibr" rid="B131">Ren et&#xa0;al. (2016)</xref> cloned the causal gene of BPH resistance from the previously fine-mapped <italic>BPH3</italic> locus of PTB33 (<xref ref-type="bibr" rid="B68">Jairin et&#xa0;al., 2007</xref>) using bioinformatics and transgenic validation experiments. The cloned gene encodes an unknown short consensus repeat (SCR) domain-containing protein and the <italic>BPH3</italic> QTL was renamed as <italic>BPH32</italic> (<italic>BPH32</italic>=<italic>BPH3</italic>) (<xref ref-type="bibr" rid="B131">Ren et&#xa0;al., 2016</xref>). Some of the BPH-resistant loci from different sources overlapped at the same locus, resulting in four clusters on chromosomes 4S, 4L, 6S, and 12L (<xref ref-type="bibr" rid="B42">Fujita et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B35">Du et&#xa0;al., 2020</xref>). From the largest BPH QTL cluster on Chr 12L containing <italic>BPH1</italic>, <italic>BPH2</italic>, <italic>BPH7</italic>, <italic>BPH9</italic>, <italic>BPH10</italic>, <italic>BPH18</italic>, <italic>BPH21</italic>, and <italic>BPH26</italic> (<xref ref-type="bibr" rid="B42">Fujita et&#xa0;al., 2013</xref>), <italic>BPH26</italic> encoding NBS-LRR protein was first cloned from the <italic>BPH26</italic> QTL derived from ADR52 (<xref ref-type="bibr" rid="B146">Tamura et&#xa0;al., 2014</xref>). Then, <italic>BPH18</italic> from the <italic>BPH18</italic> QTL originated from the <italic>Oryza australiensis</italic> introgression line (IL) (IR65482-7-216-1-2) was cloned and identified as the same gene with <italic>BPH26</italic> because physically two genes are located at the same locus on Chr 12L. However, the sequences, including promoter and protein-coding sequences (CDS) and also BPH reactions, were different between <italic>BPH26</italic> and <italic>BPH18</italic> (<xref ref-type="bibr" rid="B75">Ji et&#xa0;al., 2016</xref>). <italic>BPH9</italic> derived from Pokkali was also identified as the same gene as <italic>BPH18</italic>/<italic>BPH26</italic>, but it showed different gene sequences and also different BPH reactions (<xref ref-type="bibr" rid="B175">Zhao et&#xa0;al., 2016</xref>), suggesting that all three are the same gene (locus) but functionally different alleles. Based on the sequence analysis of the Chr 12L BPH cluster, <xref ref-type="bibr" rid="B175">Zhao et&#xa0;al. (2016)</xref> classified the eight genes into four allelotypes, <italic>BPH1</italic>=<italic>BPH10</italic>=<italic>BPH18</italic>=<italic>BPH21</italic>/<italic>BPH2</italic>=<italic>BPH26</italic>/<italic>BHP7</italic>/<italic>BPH9</italic>. However, the BPH near-isogenic lines (NILs) with the same allele types (<italic>BPH10</italic>, <italic>BPH18</italic>, and <italic>BPH21</italic>) showed slightly different BPH resistance among the same allele types (<xref ref-type="bibr" rid="B70">Jena et&#xa0;al., 2017</xref>). Although four different functional alleles were identified on Chr 12L, they cannot be pyramided by MAS breeding due to their same locations. <xref ref-type="bibr" rid="B49">Guo et&#xa0;al. (2018)</xref> cloned the <italic>BPH6</italic> encoding NBS-LRR protein from the previously found <italic>BPH6</italic> QTL originating from the Swarnalata variety, which exhibits resistance to biotype 4, the most devastating BPH biotype in South Asia, of Bangladesh BPH populations (<xref ref-type="bibr" rid="B78">Kabish and Khush, 1988</xref>). The recessive gene <italic>BPH29</italic> located at Chr 6 was found to encode a B3-domain containing protein from the RBPH54 IL possessing BPH resistance derived from the wild rice species <italic>Oryza rufipogon</italic> (<xref ref-type="bibr" rid="B153">Wang Y, et&#xa0;al., 2015</xref>). <italic>BPH30</italic> gene located on Chr 4 of the <italic>indica</italic> variety AC-1613 was identified as a gene that encodes a novel protein with two leucine-rich domains (<xref ref-type="bibr" rid="B138">Shi et&#xa0;al., 2021</xref>). In addition to the cloned BPH genes, a number of QTLs and fine-mapped QTLs are also available (<xref ref-type="bibr" rid="B42">Fujita et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B111">Naik et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B35">Du et&#xa0;al., 2020</xref>). Moreover, using 10 different BPH genes/QTLs, 25 NILs possessing single or two to three genes were developed in an <italic>indica</italic> variety background, IR24 (<xref ref-type="bibr" rid="B70">Jena et&#xa0;al., 2017</xref>). The set of BPH NILs will be useful for screening suitable BPH genes/alleles against regional BPH biotypes and for genetic improvement of BPH resistance in the local elite variety backgrounds. To achieve durable and broad-spectrum resistance, QTL/gene pyramiding approaches are widely used in breeding programs. Overall, the BPH-NILs with two to three genes exhibited more strong and broad-spectrum resistance than the NILs harboring a single BPH gene (<xref ref-type="bibr" rid="B70">Jena et&#xa0;al., 2017</xref>). In addition, pyramiding effects of two to three BPH gene combinations such as <italic>BPH14</italic> + <italic>BPH15</italic>, <italic>BPH6</italic> + <italic>BPH12</italic>, and <italic>BPH13</italic> + <italic>BPH14</italic> + <italic>BPH15</italic> were observed in different backgrounds or breeding programs (<xref ref-type="bibr" rid="B60">Hu et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B128">Qiu et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B61">Hu et&#xa0;al., 2016</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The cloned BPH resistance genes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Gene</th>
<th valign="middle" align="center">Chr</th>
<th valign="middle" align="center">Location (bp)<sup>(a)</sup>
</th>
<th valign="middle" align="center">MSU_ID</th>
<th valign="middle" align="center">RAPDB_ID</th>
<th valign="middle" align="center">Encoding protein</th>
<th valign="middle" align="center">Resistant/donor allele</th>
<th valign="middle" align="center">Inheritance pattern of R- allele</th>
<th valign="middle" align="center">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<italic>BPH14</italic>
</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">35,693,286</td>
<td valign="middle" align="center">Os03g63150</td>
<td valign="middle" align="center">Os03g0848700</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">
<italic>Oryza officinalis</italic> IL</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B36">Du et&#xa0;al., 2009</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>BPH30</italic>
</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">929,966</td>
<td valign="middle" align="center">Os04g02520</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">Protein with two leucine-rich domains (LRDs)</td>
<td valign="middle" align="center">AC-1613</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B138">Shi et&#xa0;al., 2021</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>BPH17<sup>(b)</sup>
</italic>
</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">6,940,275</td>
<td valign="middle" align="center">Os04g12540&#x2013;Os04g12560&#x2013;Os04g12580</td>
<td valign="middle" align="center">Os04g0201900&#x2013;Os04g0202300&#x2013;Os04g0202500</td>
<td valign="middle" align="center">A cluster of three genes encoding plasma membrane-localized lectin receptor kinases (OsLecRK1-OsLecRK3)</td>
<td valign="middle" align="center">Rathu Heenati</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B97">Liu et&#xa0;al., 2015</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>BPH6</italic>
</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">21,396,879</td>
<td valign="middle" align="center">Os04g35210</td>
<td valign="middle" align="center">Os04g0431700</td>
<td valign="middle" align="center">Atypical LRR</td>
<td valign="middle" align="center">Swarnalata</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B49">Guo et&#xa0;al., 2018</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>BPH29</italic>
</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">484,346</td>
<td valign="middle" align="center">Os06g01860</td>
<td valign="middle" align="center">Os06g0107800</td>
<td valign="middle" align="center">B3 domain-containing protein</td>
<td valign="middle" align="center">RBPH54 (<italic>Oryza rufipogon</italic> IL)</td>
<td valign="middle" align="center">Recessive</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B153">Wang Y, et&#xa0;al., 2015</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>BPH32</italic>
<break/>=<italic>BPH3<sup>&#xa9;</sup>
</italic>
</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">1,223,069</td>
<td valign="middle" align="center">Os06g03240</td>
<td valign="middle" align="center">Os06g0123200</td>
<td valign="middle" align="center">Unknown short consensus repeat (SCR) domain-containing protein</td>
<td valign="middle" align="center">Ptb33</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B131">Ren et&#xa0;al., 2016</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>BPH1</italic>=<italic>BPH10</italic>=<italic>BPH18</italic>=<italic>BPH21</italic>/<italic>BPH2</italic>=<italic>BPH26</italic>/<italic>BHP7</italic>/<italic>BPH9<sup>(d)</sup>
</italic>
</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">22,886,341</td>
<td valign="middle" align="center">Os12g37290</td>
<td valign="middle" align="center">Os12g0559400</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">IR65482-7-216-1-2 (<italic>BPH18</italic>), ADR52 (<italic>BPH26</italic>), T12 (<italic>BPH7</italic>), Pokkali (<italic>BPH9</italic>)</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B146">Tamura et&#xa0;al., 2014</xref> (<italic>BPH26</italic>), <xref ref-type="bibr" rid="B75">Ji et&#xa0;al., 2016</xref> (<italic>BPH18</italic>), <xref ref-type="bibr" rid="B175">Zhao et&#xa0;al., 2016</xref> (<italic>BPH9</italic> and other alleles)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x201c;=&#x201c; means the identical allele, and &#x201c;/&#x201d; means the different alleles at the same locus.</p>
</fn>
<fn>
<p>
<sup>(a)</sup>Location of the translation start codon (ATG) of the cloned genes on the rice reference genome IRGSP1.0 (https://rapdb.dna.affrc.go.jp/).</p>
</fn>
<fn>
<p>
<sup>(b)</sup>BPH17 was identified from the mapping populations derived from the cross Rathu Heenati (R) and 02428 variety (S) by <xref ref-type="bibr" rid="B144">Sun et&#xa0;al. (2005)</xref>. In a subsequent study, <xref ref-type="bibr" rid="B97">Liu et&#xa0;al. (2015)</xref> cloned the BPH resistance gene from the same materials, but the gene was probably mistakenly named BPH3 in the publication. Hence, to avoid confusion with previously reported BPH3 QTL (<xref ref-type="bibr" rid="B68">Jairin et&#xa0;al., 2007</xref>), the original name QTL name (BPH17) was given in this review.</p>
</fn>
<fn>
<p>
<sup>(c)</sup>BPH32 was identified by using bioinformatics and transgenic gene validation experiments by <xref ref-type="bibr" rid="B131">Ren et&#xa0;al. (2016)</xref> from the previously fine-mapped BPH3 locus (<xref ref-type="bibr" rid="B68">Jairin et&#xa0;al., 2007</xref>).</p>
</fn>
<fn>
<p>
<sup>(d)</sup>Eight BPH genes clustered on Chr 12L were identified as multi-alleles with four different sequences (four allele types) at the same locus (<xref ref-type="bibr" rid="B175">Zhao et&#xa0;al., 2016</xref>). However, the NILs with the same allele types (BPH10, BPH18, and BPH21) showed a bit different BPH resistance among the same allele types (<xref ref-type="bibr" rid="B70">Jena et&#xa0;al., 2017</xref>).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Other planthoppers</title>
<p>A handful of genetic factors governing resistance against planthoppers, including small brown planthopper (SBPH: <italic>Laodelphax striatellus</italic>), white-backed planthopper (WBPH: <italic>Sogatella furcifera</italic>), green leafhopper (GLH: <italic>Nephotettix virescens</italic>), and green rice leafhopper (GRH: <italic>Nephotettix cincticeps</italic>), have been identified from diverse germplasms and are well summarized in a few review papers (<xref ref-type="bibr" rid="B42">Fujita et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B35">Du et&#xa0;al., 2020</xref>). In this review, we only included recent progress on genetic factors to other planthoppers. A stable locus showing WBPH resistance in 2 years was found in the RM280-RM6909 region on Chr 4L from the Cheongcheong variety (<xref ref-type="bibr" rid="B82">Kim et&#xa0;al., 2021</xref>). The high resistance locus designated as <italic>Bph38</italic> to both BPH and WBPH was identified from <italic>O. rufipogon</italic> and was fine-mapped to a 79-kb region on Chr 4 (<xref ref-type="bibr" rid="B167">Yang et&#xa0;al., 2020</xref>). <xref ref-type="bibr" rid="B122">Phi et&#xa0;al. (2019)</xref> identified a major QTL (<italic>qGRH4.2</italic>=<italic>GRH6</italic>) conferring GRH resistance from a wild species (<italic>Oryza nivara</italic>_IRGC105715) and fine-mapped the locus to ~31-kb region on Chr 4. Recent studies showed a possibility that increasing resistance to multiple insects could be achieved by the pyramiding of insect resistance loci. For example, both GLH and GRH resistance was obtained by pyramiding of two GRH resistance genes, <italic>GRH2</italic> and <italic>GRH4</italic> (<xref ref-type="bibr" rid="B57">Horgan et&#xa0;al., 2018</xref>); enhanced resistance against multiple herbivore species, including zig-zag leafhopper (<italic>Recilia dorsalis</italic>), BPH, and WBPH, was shown by pyramiding of two to three GRH resistance loci (<italic>GRH2</italic> and <italic>GRH4-6</italic>) (<xref ref-type="bibr" rid="B56">Horgan et&#xa0;al., 2019</xref>).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Rice gall midge (<italic>Orseolia oryzae</italic>)</title>
<p>To date, 12 potential genetic factors (<italic>Gm1</italic>&#x2013;<italic>Gm12</italic>) conferring resistance against Asian rice gall midges (<italic>O. oryzae</italic>) have been reported. Among them, 10, except for <italic>Gm9</italic> and <italic>Gm10</italic>, are mapped on rice chromosomes (<xref ref-type="bibr" rid="B13">Bentur et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B89">Leelagud et&#xa0;al., 2020</xref>). Although no <italic>Gm</italic> genes have been fully validated by using transgenic approaches, four QTLs were fine-mapped with potential candidate genes: <italic>gm3</italic> (donor: RP2068-18-3-5 breeding line from Velluthacheera) on 560-kb region of Chr4L (<xref ref-type="bibr" rid="B133">Sama et&#xa0;al., 2014</xref>), <italic>Gm4</italic> (donor: Abhaya) on 300-kb region of Chr 8 (<xref ref-type="bibr" rid="B32">Divya et&#xa0;al., 2015</xref>), <italic>Gm8</italic> (donor: Aganni) on 430-kb region of Chr 8 (<xref ref-type="bibr" rid="B33">Divya et&#xa0;al., 2018</xref>), and <italic>gm12</italic> (donor: MN62M) on 345-kb region of Chr 2 (<xref ref-type="bibr" rid="B89">Leelagud et&#xa0;al., 2020</xref>). These four QTLs might be useful in a breeding program. However, the donor sources showing resistance against Indian gall midge biotypes, including Velluthacheera (<italic>gm3</italic>), Abhaya (<italic>Gm4</italic>), and Aganni (<italic>Gm8</italic>), were susceptible to all eight Thailand gall midge populations (<xref ref-type="bibr" rid="B89">Leelagud et&#xa0;al., 2020</xref>), suggesting that the suitable genetic factors should be selected based on the potential biotypes of insects.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Other insect pests</title>
<p>Five QTLs associated with leaf-folder (<italic>Cnaphalocrocis medinalis</italic>) resistance, with 8.0%&#x2013;21.1% phenotypic variance explained (PVE), were found from the double haploid population (CJ06 &#xd7; TN1), and pyramiding of QTLs affected resistance to leaf-folder (<xref ref-type="bibr" rid="B130">Rao et&#xa0;al., 2010</xref>). However, reliable genetic factors controlling other insect resistance, including stem borer and grain-sucking bugs, have not been reported yet.</p>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Fungal diseases and available genetic resources</title>
<p>Several major fungal pathogens threaten stable high-yield rice production. The major fungal diseases of rice are &#x201c;bakanae disease&#x201d; (pathogen: <italic>Gibberella fujikuroi</italic>, syn. <italic>Fusarium fujikuroi</italic>), &#x201c;brown spot&#x201d; (pathogen: <italic>Cochliobolus miyabeanus</italic>, syn. <italic>Bipolaris oryzae</italic>, <italic>Helminthosporium oryzae</italic>), &#x201c;narrow brown leaf spot&#x201d; also called &#x201c;narrow brown spot&#x201d; (pathogen: <italic>Sphaerulina oryzina</italic>, syn. <italic>Cercospora janseana</italic>, <italic>Cercospora oryzae</italic>), &#x201c;false smut&#x201d; (pathogen: <italic>Ustilaginoidea virens</italic>), &#x201c;leaf scald&#x201d; (pathogen: <italic>Microdochium oryzae</italic>), &#x201c;sheath blight&#x201d; (pathogen: <italic>Rhizoctonia solani</italic>, syn. <italic>Thanatephorus cucumeris</italic>), &#x201c;aggregate sheath spot&#x201d; (pathogen: <italic>Rhizoctonia oryzae-sativae</italic>), &#x201c;sheath rot&#x201d; (pathogen: <italic>Sarocladium oryzae</italic>), &#x201c;stem rot&#x201d; (pathogen: <italic>Sclerotium oryzae</italic>, syn. <italic>Nakataea oryzae</italic>), and &#x201c;blast&#x201d; (pathogen: <italic>Magnaporthe oryzae</italic>, syn. <italic>Pyricularia oryzae</italic>). Among fungal diseases, blast has been intensively studied compared to other fungal diseases. As a result, a handful of blast-resistance genes have been cloned, but no cloned genes are available yet for other fungal diseases.</p>
<sec id="s4_1">
<label>4.1</label>
<title>Blast (pathogen: <italic>M. oryzae</italic>, syn. <italic>P. oryzae</italic>)</title>
<p>Among the fungal diseases, rice blast is the most devastating fungal disease of rice worldwide, causing a serious threat to the world&#x2019;s food security. The blast pathogen can affect all above-ground parts of a rice plant, including the leaf, collar, node, neck, parts of the panicle, and sometimes the leaf sheath (<xref ref-type="bibr" rid="B66">IRRI Rice Knowledge Bank</xref>). Blast disease occurs in 85 countries, and it causes a 10%&#x2013;35% loss of harvest (<xref ref-type="bibr" rid="B41">Fisher et&#xa0;al., 2012</xref>), and the amount of rice damaged by blast annually is sufficient to feed 60 million people worldwide (<xref ref-type="bibr" rid="B121">Pennisi, 2010</xref>; <xref ref-type="bibr" rid="B39">Fahad et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B140">Singh et&#xa0;al., 2020</xref>). There are over 100 blast resistance QTLs/loci identified from diverse germplasm including cultivars, landraces, and wild relatives of rice (<xref ref-type="bibr" rid="B7">Ashkani et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B90">Li et&#xa0;al., 2019</xref>). The <italic>Pib</italic> (donor: <italic>indica</italic> cultivar Engkatek) and <italic>Pita</italic> (donor: <italic>indica</italic> cultivar Tadukan) were the first cloned blast resistance genes, and both encode NBS-LRR domains predicted to be cytoplasmic proteins (<xref ref-type="bibr" rid="B157">Wang et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B18">Bryan et&#xa0;al., 2000</xref>). To date, 23 genes (23 independent loci) consisting of ~35 different alleles have been cloned, including three panicle blast resistance genes <italic>Pb1</italic>&#x2013;<italic>Pb3</italic> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The cloned genes were distributed across the rice chromosomes except for chromosomes 5, 7, and 10. Chromosomes 6 and 11 harbored four and six blast genes, respectively (<italic>Pi9</italic> alleles, <italic>Pid4</italic>, <italic>Pid3</italic> alleles, and <italic>Pid2</italic> on Chr 6; <italic>Pia</italic> alleles, <italic>Pi54rh</italic> alleles, <italic>Pik</italic> alleles, <italic>Pb1</italic>, <italic>Pb2</italic>, and <italic>Pb3</italic> on Chr 11). Several blast-resistant QTLs were identified at the same location on the short arm of Chr 6 (10.4-Mb region) from different germplasms. Finally, the causal genes were located at the NLR gene-repeated cluster (<italic>Pi9</italic> locus), and they are regarded as the same genes with different alleles (<italic>Pi9</italic>/<italic>Pi2</italic>=<italic>Piz-5</italic>/<italic>Piz-t</italic>/<italic>Pi50</italic>/<italic>Pigm</italic>/<italic>Pizh</italic>). At the <italic>Pi9</italic> locus, two to 13 repeats of NLR gene were laid next to each other, and the blast-resistant donors possessed nine repeats (<italic>Pi9</italic> and <italic>Pi2</italic>) or 13 repeats (<italic>Pigm</italic>) of NLR genes (<xref ref-type="bibr" rid="B31">Deng et&#xa0;al., 2017</xref>). There were sequence variations among the alleles of the responsive NLR gene at the <italic>Pi9</italic> locus, and they showed different reactions to the blast strains. In addition to the cloned genes/alleles, one major QTL (<italic>Pi40</italic>) was identified at the <italic>Pi9</italic> locus from the <italic>O. australiensis</italic>-derived IL (IR65482-4-136-2-2) through fine mapping (<xref ref-type="bibr" rid="B73">Jeung et&#xa0;al., 2007</xref>). The <italic>Pi40</italic> introgression in Korean and Turkish varieties showed resistance to a wide range of blast strains in Korea and Turkey (<xref ref-type="bibr" rid="B73">Jeung et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B14">Beser et&#xa0;al., 2016</xref>). Another major cluster was found on Chr 11 (25.2-Mb region) (<italic>Pik</italic> locus) from various donor materials, and they (<italic>Pik</italic>/<italic>Pik-m</italic>/<italic>Pik-p</italic>/<italic>Pi1</italic>/<italic>Pi7</italic>) were identified as allelic (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Interestingly, most of the cloned blast genes encode NBS-LRR (NLR) protein, except for four genes: <italic>bsr-d1</italic> (C2H2-type zinc finger protein), <italic>pi21</italic> (proline-rich protein), <italic>Pid2</italic> (B-lectin receptor kinase), and <italic>Ptr</italic>=<italic>Pita2</italic> (armadillo repeat protein). The majority of blast-resistant donor alleles/genes are dominant except for <italic>pi21</italic>, which is recessive (<xref ref-type="bibr" rid="B95">Liu W, et&#xa0;al., 2013</xref>). <italic>Pi21</italic> encodes a proline-rich protein, and the loss-of-function allele from the resistant donor (Owarihatamochi) confers non-race-specific resistance. <italic>pi21</italic> gene was closely linked to the gene providing poor eating quality. However, the genes were successfully separated by recombination between two genes in the breeding lines, and blast resistance with good eating quality was achieved (<xref ref-type="bibr" rid="B43">Fukuoka et&#xa0;al., 2009</xref>). Thus, precise introgression with the cloned target genes is able to reduce the presence of unwanted phenotypes in the final breeding products caused by &#x201c;linkage drag&#x201d;. Among the cloned blast genes, <italic>Pi50</italic>, <italic>Pizh</italic>, <italic>Pi54rh</italic>, <italic>Pi56</italic>, <italic>Pi64</italic>, <italic>PigmR</italic>, and <italic>Ptr</italic>=<italic>Pita2</italic> alleles were known as broad-spectrum resistance (<xref ref-type="bibr" rid="B99">Liu et&#xa0;al., 2021</xref>). A few sets of NILs with blast resistance sources were developed in both <italic>japonica</italic> and <italic>indica</italic> backgrounds: 20 NILs with 11 blast QTLs/genes in <italic>japonica</italic> background Lijiangxintuanheigu (LTH) (<xref ref-type="bibr" rid="B148">Telebanco-Yanoria et&#xa0;al., 2010</xref>) and 28 NILs with 14 QTLs/genes in an <italic>indica</italic> background, CO39 (<xref ref-type="bibr" rid="B149">Telebanco-Yanoria et&#xa0;al., 2011</xref>). Moreover, both NIL sets were tested by 20 blast isolates collected in the Philippines. Recently, 21 NILs with 18 QTLs/genes in another <italic>indica</italic> background, US-2, were developed, and the NILs were tested with 31 isolates from Asia (Japan, China, the Philippines, Indonesia, Vietnam, Cambodia, Bangladesh, and Laos) and Africa (Nigeria, Kenya, and Benin) (<xref ref-type="bibr" rid="B45">Fukuta et&#xa0;al., 2022</xref>). In blast bioassay with the NIL sets above, most of the genes/QTLs showed differential reactions against different isolates, even in the same country collections, suggesting that the selection of suitable blast genes/alleles based on the local pathotypes/isolates is important to develop blast resistant varieties. Among the blast genes used in the NIL development above, NIL-<italic>Pi9</italic> exhibited resistance or moderate resistance to all 31 isolates from Asia and Africa (<xref ref-type="bibr" rid="B45">Fukuta et&#xa0;al., 2022</xref>), suggesting that <italic>Pi9</italic> allele might be useful to breed blast-resistant variety across the rice cultivation countries. The sets of NILs and blast screening data against various isolates will be very useful to pathology studies, the selection of suitable genes/alleles against regional isolates, and breeding programs. To achieve durable and broad-spectrum resistance, pyramiding of resistance genes (two or more) in one background is usually used in the breeding program. There are various gene combinations of blast genes that prove the enhanced blast resistance in both <italic>indica</italic> and <italic>japonica</italic> rice against several blast isolates. Two genes&#x2013;pyramided lines with <italic>Pi37</italic> + <italic>Pid3</italic>, <italic>Pi5</italic> + <italic>Pi54</italic>, <italic>Pi54</italic> +<italic>Pid3</italic>, and <italic>Pigm</italic> + <italic>Pi37</italic> exhibited significantly enhanced resistance and observable additive effects (<xref ref-type="bibr" rid="B76">Jiang et&#xa0;al., 2019</xref>). The gene combinations <italic>Pigm</italic> + <italic>Pi1</italic>, <italic>Pigm</italic> + <italic>Pi54</italic>, and <italic>Pigm</italic> + <italic>Pi33</italic> displayed broad-spectrum resistance (<xref ref-type="bibr" rid="B160">Wu et&#xa0;al., 2019</xref>). Broad-spectrum blast resistance was also achieved in the temperate <italic>japonica</italic> varieties by pyramiding three to four genes with <italic>Piz</italic>, <italic>Pib</italic>, <italic>Pik</italic>, <italic>Pita</italic>, and <italic>Pita2</italic> (<xref ref-type="bibr" rid="B171">Zampieri et&#xa0;al., 2023</xref>). As proven in many previous studies, stacking suitable blast genes/alleles has strong potential to obtain durable and broad-spectrum resistance in the breeding program.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>The cloned blast resistance genes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Gene</th>
<th valign="middle" align="center">Chr</th>
<th valign="middle" align="center">Location (bp)</th>
<th valign="middle" align="center">MSU_ID</th>
<th valign="middle" align="center">RAPDB_ID</th>
<th valign="middle" align="center">Encoding protein</th>
<th valign="middle" align="center">Resistant/donor allele</th>
<th valign="middle" align="center">Inheritance pattern of R-allele</th>
<th valign="middle" align="center">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<italic>Pit</italic>
</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">2,681,220</td>
<td valign="middle" align="center">Os01g05620</td>
<td valign="middle" align="center">Os01g0149500</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">K59</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B52">Hayashi K, et&#xa0;al., 2010</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pi64</italic>
</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">33,098,082</td>
<td valign="middle" align="center">Os01g57280</td>
<td valign="middle" align="center">Os01g0781200</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">Yangmaogu</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B100">Ma et&#xa0;al., 2015</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pi37</italic>
</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">33,120,499</td>
<td valign="middle" align="center">Os01g57310</td>
<td valign="middle" align="center">Os01g0781700</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">St. No. 1</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B92">Lin et&#xa0;al., 2007</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pish</italic>/<italic>Pi35</italic>
</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">33,136,846</td>
<td valign="middle" align="center">Os01g57340</td>
<td valign="middle" align="center">Os01g0782100</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">Nipponbare (<italic>Pish</italic>), Hokkai 188 (<italic>Pi35</italic>)</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B145">Takahashi et&#xa0;al., 2010</xref> (<italic>Pish</italic>), <xref ref-type="bibr" rid="B44">Fukuoka et&#xa0;al., 2014</xref> (<italic>Pi35</italic>)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pib</italic>
</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">35,118,769</td>
<td valign="middle" align="center">Os02g57310</td>
<td valign="middle" align="center">Os02g0818500</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">Engkatek</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B157">Wang et&#xa0;al., 1999</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>bsr-d1</italic>
</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">18,435,990</td>
<td valign="middle" align="center">Os03g32230</td>
<td valign="middle" align="center">Os03g0437200</td>
<td valign="middle" align="center">C2H2-type zinc finger protein</td>
<td valign="middle" align="center">Digu</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B91">Li et&#xa0;al., 2017</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>pi21</italic>
</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">19,835,206</td>
<td valign="middle" align="center">Os04g32850</td>
<td valign="middle" align="center">Os04g0401000</td>
<td valign="middle" align="center">Proline-rich protein</td>
<td valign="middle" align="center">Owarihatamochi</td>
<td valign="middle" align="center">Recessive</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B43">Fukuoka et&#xa0;al., 2009</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pi63</italic>
</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">31,554,480</td>
<td valign="middle" align="center">Os04g52970</td>
<td valign="middle" align="center">Os04g0620950</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">Kahei</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B165">Xu et&#xa0;al., 2014</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pi9</italic>/<italic>Pi2</italic>=<italic>Piz-5</italic>/<italic>Piz-t</italic>/<italic>Pi50</italic>/<italic>PigmR<sup>(e)</sup>
</italic>/<italic>Pizh</italic>
</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">10,387,509</td>
<td valign="middle" align="center">Os06g17900</td>
<td valign="middle" align="center">Os06g0286700</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">
<italic>Oryza minuta</italic> IL (75-1-127) (<italic>Pi9</italic>), C101A51 (<italic>Pi2</italic>), Toride 1 (<italic>Piz-t</italic>), Er-Ba-Zhan (<italic>Pi50</italic>), Gumei 4 (<italic>PigmR</italic>), ZH11 (<italic>Pizh</italic>)</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B129">Qu et&#xa0;al., 2006</xref> (<italic>Pi9</italic>), <xref ref-type="bibr" rid="B178">Zhou et&#xa0;al., 2006</xref> (<italic>Pi2</italic> and <italic>Piz-t</italic>), <xref ref-type="bibr" rid="B142">Su et&#xa0;al., 2015</xref> (<italic>Pi50</italic>), <xref ref-type="bibr" rid="B31">Deng et&#xa0;al., 2017</xref> (<italic>PigmR</italic>), <xref ref-type="bibr" rid="B162">Xie et&#xa0;al., 2019</xref> (<italic>Pizh</italic>)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pid4</italic>
</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">10,435,819</td>
<td valign="middle" align="center">Os06g17950</td>
<td valign="middle" align="center">Os06g0287500</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">Digu</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B26">Chen et&#xa0;al., 2018</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pid3</italic>/<italic>Pi25</italic>/<italic>Pid3-I1</italic>
</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">13,054,818</td>
<td valign="middle" align="center">Os06g22460</td>
<td valign="middle" align="center">Os06g0330100</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">Digu (<italic>Pid3</italic>), Gumei2 (<italic>Pi25</italic>), MC276 (<italic>Pid3-I1</italic>)</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B137">Shang et&#xa0;al., 2009</xref> (<italic>Pid3</italic>), <xref ref-type="bibr" rid="B25">Chen J, et&#xa0;al., 2011</xref> (<italic>Pi25</italic>), <xref ref-type="bibr" rid="B65">Inukai et&#xa0;al., 2019</xref> (<italic>Pid3-I1</italic>)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pid2</italic>
</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">17,160,333</td>
<td valign="middle" align="center">Os06g29810</td>
<td valign="middle" align="center">Os06g0494100</td>
<td valign="middle" align="center">B-lectin receptor kinase</td>
<td valign="middle" align="center">Digu</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B24">Chen et&#xa0;al., 2006</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pi36</italic>
</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">2,878,884</td>
<td valign="middle" align="center">Os08g05440</td>
<td valign="middle" align="center">Os08g0150150</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">Kasalath (formerly known as Q61)</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B94">Liu et&#xa0;al., 2007</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pi5</italic>
</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">9,681,913</td>
<td valign="middle" align="center">Os09g15840</td>
<td valign="middle" align="center">Os09g0327600</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">RIL260-Moroberekan</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B88">Lee et&#xa0;al., 2009</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pi56</italic>
</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">9,777,527</td>
<td valign="middle" align="center">Os09g16000</td>
<td valign="middle" align="center">Os09g0328951</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">Sanhuangzhan No 2 (SHZ2)</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B96">Liu Y, et&#xa0;al., 2013</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pia</italic>/<italic>Pi-CO39</italic>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">6,541,924</td>
<td valign="middle" align="center">Os11g11790&#x2013;Os11g11810</td>
<td valign="middle" align="center">Os11g0225100&#x2013;Os11g0225300</td>
<td valign="middle" align="center">Two genes encoding NBS-LRR</td>
<td valign="middle" align="center">Sasanishiki (<italic>Pia</italic>), CO39 (<italic>Pi-CO39</italic>)</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B115">Okuyama et&#xa0;al., 2011</xref> (<italic>Pia</italic>), <xref ref-type="bibr" rid="B20">Cesari et&#xa0;al., 2013</xref> (<italic>Pi-CO39</italic>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pi54rh</italic>/<italic>Pi54</italic>=<italic>Pik-h</italic>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">25,263,336</td>
<td valign="middle" align="center">Os11g42010</td>
<td valign="middle" align="center">Os11g0639100</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">
<italic>Oryza rhizomatis</italic> (<italic>Pi54rh</italic>), Tetep (<italic>Pi54</italic>)</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B30">Das et&#xa0;al., 2012</xref> (<italic>Pi54rh</italic>), <xref ref-type="bibr" rid="B174">Zhang et&#xa0;al., 2018</xref> (<italic>Pi54</italic>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pik</italic>/<italic>Pik-m</italic>/<italic>Pik-p</italic>/<italic>Pi1</italic>/<italic>Pi7</italic>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">27,983,597</td>
<td valign="middle" align="center">Os11g46200-Os11g46210</td>
<td valign="middle" align="center">Os11g0688832&#x2013;Os11g0689100</td>
<td valign="middle" align="center">Two genes encoding NBS-LRR</td>
<td valign="middle" align="center">Kusabue (<italic>Pik</italic>), Tsuyuake (<italic>Pik-m</italic>), K60 (<italic>Pik-p</italic>), C101LAC (<italic>Pi1</italic>), IRBL7-M (<italic>Pi7</italic>)</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B173">Zhai et&#xa0;al., 2011</xref> (<italic>Pik</italic>), <xref ref-type="bibr" rid="B6">Ashikawa et&#xa0;al., 2008</xref> (<italic>Pik-m</italic>), <xref ref-type="bibr" rid="B170">Yuan et&#xa0;al., 2011</xref> (<italic>Pik-p</italic>), <xref ref-type="bibr" rid="B62">Hua et&#xa0;al., 2012</xref> (<italic>Pi1</italic>), <xref ref-type="bibr" rid="B46">Gan et&#xa0;al., 2010</xref> (<italic>Pi7</italic>)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pita</italic>
</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">10,606,359</td>
<td valign="middle" align="center">Os12g18360</td>
<td valign="middle" align="center">Os12g0281300</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">Tadukan</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B18">Bryan et&#xa0;al., 2000</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Ptr</italic> = <italic>Pita2</italic>
</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">10,822,534</td>
<td valign="middle" align="center">Os12g18729</td>
<td valign="middle" align="center">Os12g0285100</td>
<td valign="middle" align="center">Armadillo repeats protein</td>
<td valign="middle" align="center">Katy (<italic>Ptr</italic>), IRBLta2-Re (<italic>Pita2</italic>)</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B176">Zhao et&#xa0;al., 2018</xref> (<italic>Ptr</italic>), <xref ref-type="bibr" rid="B106">Meng et&#xa0;al., 2020</xref> (<italic>Pita2</italic>)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pb1</italic>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">22,862,447</td>
<td valign="middle" align="center">Os11g38580</td>
<td valign="middle" align="center">Os11g0598500</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">Modan</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B51">Hayashi N, et&#xa0;al., 2010</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pb2</italic>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">27,608,621</td>
<td valign="middle" align="center">Os11g45620</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">Jiangnanwan</td>
<td valign="middle" align="center">ND</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B169">Yu et&#xa0;al., 2022</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pb3</italic>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">27,282,232</td>
<td valign="middle" align="center">Os11g45090</td>
<td valign="middle" align="center">Os11g0675200</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">Haplotype A, Bodao</td>
<td valign="middle" align="center">ND</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B101">Ma et&#xa0;al., 2022</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ND, not determined.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In contrast to leaf blast resistance, genetic resources for blast disease on other organs/tissues are relatively poor. The first panicle blast resistance gene, <italic>Pb1</italic>, encoding NBS-LRR was cloned from an <italic>indica</italic> cultivar Modan (<xref ref-type="bibr" rid="B51">Hayashi N, et&#xa0;al., 2010</xref>). Afterward, it was found that panicle blast resistance by <italic>Pb1</italic> is dependent on at least four other loci (<xref ref-type="bibr" rid="B64">Inoue et&#xa0;al., 2017</xref>), suggesting that a level of panicle blast resistance with <italic>Pb1</italic> will be influenced by other genetic factors or background materials. Recently, two additional panicle blast resistance genes, <italic>Pb2</italic> and <italic>Pb3</italic>, were identified through GWAS and validated by transgenic approaches (<xref ref-type="bibr" rid="B101">Ma et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B169">Yu et&#xa0;al., 2022</xref>). Both genes encode NBS-LRR proteins and are physically close to each other (~360-kb distance between <italic>Pb2</italic> and <italic>Pb3</italic>). Some of the cloned leaf blast genes, such as <italic>Pi25</italic> (<xref ref-type="bibr" rid="B25">Chen J, et&#xa0;al., 2011</xref>), <italic>PigmR</italic> (<xref ref-type="bibr" rid="B31">Deng et&#xa0;al., 2017</xref>), and <italic>Pid4</italic> (<xref ref-type="bibr" rid="B26">Chen et&#xa0;al., 2018</xref>), also showed some level of panicle blast resistance.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Bakanae disease (pathogen: <italic>G. fujikuroi</italic>, syn. <italic>F. fujikuroi</italic>)</title>
<p>To identify the genetic factors governing bakanae disease resistance, QTL mapping and GWAS have been conducted and identified a handful of QTLs on chromosomes 1, 3, 4, 9, and 10 from several different donors, but no genes have been cloned yet. Three major QTLs (<italic>qBK1</italic>, <italic>qBK1.1</italic>, and <italic>qFfR1</italic>) were fine-mapped on the Chr 1 region between 23.32 and 23.67 Mb (<xref ref-type="bibr" rid="B86">Lee et&#xa0;al., 2021</xref>).</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>False smut (pathogen: <italic>U. virens</italic>)</title>
<p>A number of QTLs for false smut resistance have been identified by QTL mapping with bi-parental populations (<xref ref-type="bibr" rid="B4">Andargie et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B50">Han et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B113">Neelam et&#xa0;al., 2022</xref>) and GWAS (<xref ref-type="bibr" rid="B55">Hiremath et&#xa0;al., 2021</xref>). The results suggested that false smut resistance seems to quantitate traits governed by multiple genes. Among the QTLs, <italic>qFsr8&#x2013;1</italic> originated from the Chinese rice landrace MR183&#x2013;2 and showed the highest PVE (26.0%).</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Sheath blight (pathogen: <italic>R. solani</italic>, syn. <italic>T. cucumeris</italic>)</title>
<p>More than 200 QTLs associated with sheath blight (ShB) resistance have been identified from the diverse mapping populations (<xref ref-type="bibr" rid="B172">Zarbafi and Ham, 2019</xref>; <xref ref-type="bibr" rid="B47">Goad et&#xa0;al., 2020</xref>). Among all the identified ShB QTLs, two loci on Chr 9 (<italic>qShB9-2</italic>) and Chr 11 (<italic>qSBR11-1</italic>) contribute 25% and 14% of PVE, respectively, are the major effect QTLs (<xref ref-type="bibr" rid="B108">Molla et&#xa0;al., 2020</xref>), and may be useful in a breeding program.</p>
</sec>
<sec id="s4_5">
<label>4.5</label>
<title>Brown spot (pathogen: <italic>C. miyabeanus</italic>, syn. <italic>B. oryzae</italic>, <italic>H. oryzae</italic>)</title>
<p>For brown spot (BS) resistance, susceptible and resistant germplasms were identified by several studies. Several cultivars that have been categorized as resistant did not show complete resistance (immunity), but they showed quantitative resistance to BS. To date, more than 20 QTLs with low&#x2013;mild phenotypic variation (&lt;20%) were identified from several mapping populations, including recombinant inbred lines (RILs), doubled haploid lines (DHLs), and chromosome segment substitution lines (CSSLs) from several different donors (reviewed by <xref ref-type="bibr" rid="B107">Mizobuchi et&#xa0;al., 2016</xref>). One major QTL, <italic>qBSR11-kc</italic>, showing 23.0%&#x2013;25.9% of the total phenotypic variation was identified from <italic>indica</italic> variety CH45 (<xref ref-type="bibr" rid="B103">Matsumoto et&#xa0;al., 2017</xref>).</p>
</sec>
<sec id="s4_6">
<label>4.6</label>
<title>Narrow brown leaf spot also called &#x201c;narrow brown spot&#x201d; (pathogen: <italic>S. oryzina</italic>, syn. <italic>C. janseana</italic>, <italic>C. oryzae</italic>)</title>
<p>The genetic architecture of narrow brown spot (narrow brown leaf spot) resistance was almost unknown. A recent genetic analysis using the RIL population derived from the cross between two US varieties (Cypress and LaGrue) identified a single large-effect QTL, <italic>CRSP-2.1</italic>, explaining 81.4% of the phenotypic variation (<xref ref-type="bibr" rid="B2">Addison et&#xa0;al., 2021</xref>). The causal gene is not confirmed yet, but the major QTL might be useful in a breeding program.</p>
</sec>
<sec id="s4_7">
<label>4.7</label>
<title>Aggregate sheath spot (pathogen: <italic>R. oryzae-sativae</italic>)</title>
<p>Aggregate sheath spot disease has been reported in many Asian countries, as well as the USA, South America, and Australia, and it can cause ~20% of yield loss (<xref ref-type="bibr" rid="B85">Lanoiselet et&#xa0;al., 2007</xref>). Good levels of resistance to aggregate sheath spot were identified from <italic>O. rufipogon</italic> and successfully transferred into cultivars (<xref ref-type="bibr" rid="B105">McKenzie et&#xa0;al., 1994</xref>). Recent GWAS with tropical <italic>japonica</italic> and <italic>indica</italic> populations identified a handful of QTLs (<xref ref-type="bibr" rid="B132">Rosas et&#xa0;al., 2018</xref>).</p>
</sec>
<sec id="s4_8">
<label>4.8</label>
<title>Sheath rot (pathogen: <italic>S. oryzae</italic>)</title>
<p>Rice sheath rot diseases are found in most rice-growing areas of the world and cause 20%&#x2013;85% ranges of yield losses, making it an emerging ubiquitous destructive disease of rice (<xref ref-type="bibr" rid="B15">Bigirimana et&#xa0;al., 2015</xref>). However, rice sheath rot is less studied, and no reliable germplasm or genetic factors have been identified yet.</p>
</sec>
<sec id="s4_9">
<label>4.9</label>
<title>Stem rot (pathogen: <italic>S. oryzae</italic>, syn. <italic>N. oryzae</italic>)</title>
<p>Stem rot disease resistance was found in wild rice species (<italic>O. nivara</italic> and <italic>O. rufipogon</italic>) and weedy rice (<italic>O. sativa</italic> f. <italic>spontanea</italic>) (<xref ref-type="bibr" rid="B40">Figoni et&#xa0;al., 1983</xref>), and the stem rot resistance was successfully transferred from <italic>O. rufipogon</italic> to California rice cultivars through interspecific hybridization (<xref ref-type="bibr" rid="B119">Oster, 1992</xref>). Recently, several QTLs for stem rot resistance were identified from <italic>indica</italic> germplasm through a GWAS analysis (<xref ref-type="bibr" rid="B132">Rosas et&#xa0;al., 2018</xref>).</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Bacterial diseases and available genetic resources</title>
<p>Rice productions are significantly affected by several major bacterial diseases: BB (pathogen: <italic>Xanthomonas oryzae</italic> pv. <italic>oryzae</italic> (<italic>Xoo</italic>)), &#x201c;bacterial leaf streak&#x201d; (BLS) (pathogen: <italic>X. oryzae</italic> pv. <italic>oryzicola</italic> (<italic>Xoc</italic>)), &#x201c;bacterial sheath brown rot&#x201d; also called &#x201c;rice sheath rot&#x201d; (pathogen: <italic>Pseudomonas fuscovaginae</italic>), and &#x201c;bacterial seedling rot&#x201d; (BSR), and &#x201c;bacterial grain rot&#x201d; (BGR) caused by the same pathogen (<italic>Burkholderia glumae</italic>). To date, a handful of genes have been cloned for BB resistance, but none yet for other bacterial diseases. Here, we described BB resistance genes cloned and some genetic resources for other bacterial pathogens.</p>
<sec id="s5_1">
<label>5.1</label>
<title>Bacterial blight (pathogen: <italic>X. oryzae</italic> pv. <italic>oryzae</italic> (<italic>Xoo</italic>))</title>
<p>Among the bacterial diseases, BB caused by <italic>Xoo</italic> is the most destructive bacterial disease in rice. Thus, it has been intensively studied for the isolation of BB-resistant germplasm, genetic analysis, gene identification, and molecular mechanism of wars between <italic>Xoo</italic> and rice. To date, at least 47 <italic>Xoo</italic> resistance QTLs and genes (named <italic>Xa</italic> genes) have been identified from diverse germplasms, including cultivated rice, rice mutant lines, and wild rice species. <italic>Xa21</italic> from <italic>Oryza longistaminata</italic> introgression line (IRBB21) was first cloned in 1995 by Song et&#xa0;al. and followed by <italic>Xa1</italic> from the IRBB1 line (<xref ref-type="bibr" rid="B168">Yoshimura et&#xa0;al., 1998</xref>). Later, <italic>Xa2</italic>, <italic>Xa31(t)</italic>, <italic>CGS-Xo1</italic>, <italic>Xa14</italic>, and <italic>Xa45(t)</italic> were identified as a group of <italic>Xa1</italic> allelic R genes (<xref ref-type="bibr" rid="B74">Ji et&#xa0;al., 2020</xref>). Currently, 13 different genes/loci consisting of ~23 allelotypes have been cloned and characterized (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>), that is, <italic>Xa1</italic>/<italic>Xa2</italic>=<italic>Xa31(t)</italic>/<italic>Xa14</italic>/<italic>Xa45(t)</italic>/<italic>CGS-Xo1</italic>, <italic>Xa3</italic>=<italic>Xa26</italic>, <italic>Xa4</italic>, <italic>xa5</italic>, <italic>Xa7</italic>, <italic>Xa10</italic>, <italic>xa13</italic>/<italic>OsSWEET11</italic>/<italic>Os8N3</italic>, <italic>Xa21</italic>, <italic>Xa23</italic>, <italic>Xa47(t)</italic>, <italic>xa25</italic>/<italic>OsSWEET13</italic>/<italic>OsMtN3</italic>, <italic>Xa27</italic>, and <italic>xa41(t)</italic>/<italic>OsSWEET14</italic>/<italic>Os11N3</italic>. The 13 cloned BB resistance genes encode several types of proteins: NBS-LRR (<italic>Xa1</italic>/<italic>Xa1</italic> alleles and <italic>Xa47(t)</italic>), leucine-rich repeat receptor-like kinases (LRR-RLKs) (<italic>Xa3</italic>=<italic>Xa26</italic> and <italic>Xa21</italic>), a cell wall-associated kinase (WAK) (<italic>Xa4</italic>), executor R proteins (<italic>Xa7</italic>, <italic>Xa10</italic>, <italic>Xa23</italic>, and <italic>Xa27</italic>), SWEET/sugar transporter proteins (<italic>xa13</italic>/<italic>OsSWEET11</italic>, <italic>xa25</italic>/<italic>OsSWEET13</italic>, and <italic>xa41(t)</italic>/<italic>OsSWEET14</italic>), and a transcription factor gamma subunit protein (<italic>xa5</italic>). The genes encoding NBS-LRR, LRR-RLK, and WAK are involved in pathogen recognition and activation of the innate immune system, whereas the genes encoding executor R proteins are transcriptionally activated by the <italic>Xoo</italic> transcription activator-like (TAL) effector protein and trigger programmed cell death (PCD)-based hypersensitive response (HR). Thus, for the genes mentioned above, the functional alleles from the BB-resistant donor sources are dominant. In contrast, BB resistance is caused by sequence mutations at the TAL effector binding sites in the promoter of the SWEET (Sugar Will Eventually be Exported Transporter) genes and thus a recessive allele. BB resistance of <italic>xa5</italic> gene relies on one amino acid difference between resistance and susceptible lines in <italic>Xa5</italic> protein (a general eukaryotic transcription factor), and the BB-resistant allele is recessive (<xref ref-type="bibr" rid="B67">Iyer and McCouch, 2004</xref>). The cloned 13 genes are distributed on six chromosomes (one gene each on Chr 4, 5, 8, and 12; two genes on Chr 6; six genes on Chr 11) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Six cloned genes on Chr 11 are closely located to each other in ~10.2-Mb size (18.2&#x2013;28.4-Mb region on Chr 11) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Thus, in the case of gene pyramiding using the six genes on Chr 11, breeders need to consider producing enough progenies for obtaining pyramided alleles that occur by recombination between two closely located genes. Several cloned genes, including <italic>Xa7</italic>, <italic>Xa23</italic>, <italic>xa41</italic>, and <italic>Xa47</italic>, were reported as broad-spectrum resistance genes/alleles (<xref ref-type="bibr" rid="B99">Liu et&#xa0;al., 2021</xref>). NILs with single BB resistance genes were developed through IRRI-Japan collaboration designated as &#x201c;IRBB&#x201d; lines (<xref ref-type="bibr" rid="B114">Ogawa et&#xa0;al., 1991</xref>), and additional NILs (IRBB) with single or multiple BB resistance genes (two to five genes) were developed in the BB-susceptible background IR24 at IRRI, Philippines. Differential reactions of the NILs (IRBB lines) with single and pyramided <italic>Xa</italic> genes to 11 races in the Philippines were observed, and the results are available at the IRRI Rice knowledge bank (<ext-link ext-link-type="uri" xlink:href="http://www.knowledgebank.irri.org/ricebreedingcourse/Breeding_for_disease_resistance_Blight.htm">http://www.knowledgebank.irri.org/ricebreedingcourse/Breeding_for_disease_resistance_Blight.htm</ext-link>). The IRBB lines possessing multiple <italic>Xa</italic> genes (two to five genes) exhibited broad-spectrum resistance than the single gene introgression IRBB lines. Similarly, pyramiding of <italic>Xa</italic> genes such as <italic>Xa21</italic> + <italic>Xa33</italic>, <italic>Xa21</italic> + <italic>xa13</italic> + <italic>xa5</italic>, and <italic>Xa4</italic> + <italic>xa5</italic> + <italic>Xa7</italic> + <italic>xa13</italic> + <italic>Xa21</italic> offers greater and broader resistance to <italic>Xoo</italic> than an individual resistance gene (<xref ref-type="bibr" rid="B125">Pradhan et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B9">BalachIranjeevi et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B58">Hsu et&#xa0;al., 2020</xref>). The IRBB sets were also tested with 16 isolates in Korea, and the results showed that <italic>xa5</italic> was strong and broad-spectrum resistant than any other <italic>Xa</italic> genes (<xref ref-type="bibr" rid="B72">Jeung et&#xa0;al., 2006</xref>). Rice possessing <italic>Xa7</italic> exhibited less disease than lines without <italic>Xa7</italic> over 11 years in the Philippines, even though the virulence of <italic>Xoo</italic> field populations increased. In addition, <italic>Xa7</italic> restricted disease more effectively at high temperatures, while other <italic>Xa</italic> genes were less effective at high temperatures (<xref ref-type="bibr" rid="B159">Webb et&#xa0;al., 2010</xref>). The IRBB lines and stacked information including gene reactions, spectrum, durability, and influence of environments will be useful to select suitable genes/alleles for regional/local breeding programs and also for the development of durable and broad-spectrum resistant rice varieties.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>The cloned bacterial blight resistance genes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Gene</th>
<th valign="middle" align="center">Chr</th>
<th valign="middle" align="center">Location (bp)</th>
<th valign="middle" align="center">MSU_ID</th>
<th valign="middle" align="center">RAPDB_ID</th>
<th valign="middle" align="center">Encoding protein</th>
<th valign="middle" align="center">Resistant/donor allele</th>
<th valign="middle" align="center">Inheritance pattern of R-allele</th>
<th valign="middle" align="center">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<italic>Xa1</italic>/<italic>Xa2</italic>=<italic>Xa31(t)</italic>/<italic>Xa14</italic>/<italic>Xa45(t)</italic>/<italic>CGS-Xo1</italic>
</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">31,638,099</td>
<td valign="middle" align="center">Os04g53120</td>
<td valign="middle" align="center">Os04g0622600</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">IRBB1 (<italic>Xa1</italic>), IRBB2 (<italic>Xa2</italic>), IRBB14 (<italic>Xa14</italic>), Zhachanglong (<italic>Xa31(t)</italic>), Carolina Gold Select (<italic>CGS-Xo1</italic>), <italic>Oryza nivara</italic> IRGC102463 (<italic>Xa45(t)</italic>)</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B168">Yoshimura et&#xa0;al., 1998</xref>; <xref ref-type="bibr" rid="B74">Ji et&#xa0;al., 2020</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>xa5</italic>
</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">437,043</td>
<td valign="middle" align="center">Os05g01710</td>
<td valign="middle" align="center">Os05g0107700</td>
<td valign="middle" align="center">Transcription factor IIA gamma subunit</td>
<td valign="middle" align="center">IRBB5</td>
<td valign="middle" align="center">Recessive</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B16">Blair et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B67">Iyer and McCouch, 2004</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Xa27</italic>
</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">23,653,851</td>
<td valign="middle" align="center">Os06g39810</td>
<td valign="middle" align="center">Os06g0599600</td>
<td valign="middle" align="center">Executor R protein</td>
<td valign="middle" align="center">IRBB27/<italic>Oryza minuta</italic> IRGC101141</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B48">Gu et&#xa0;al., 2005</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Xa7</italic>
<sup>(a)</sup>
</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">28,015,259</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">Executor R protein</td>
<td valign="middle" align="center">IRBB7</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B23">Chen et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B154">Wang et&#xa0;al., 2021</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>xa13</italic>/<italic>OsSWEET11</italic>/<italic>Os8N3</italic>
</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">26,725,952</td>
<td valign="middle" align="center">Os08g42350</td>
<td valign="middle" align="center">Os08g0535200</td>
<td valign="middle" align="center">SWEET-type protein</td>
<td valign="middle" align="center">IRBB13</td>
<td valign="middle" align="center">Recessive</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B28">Chu et&#xa0;al., 2006</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>xa41(t)</italic>/<italic>OsSWEET14</italic>/<italic>Os11N3</italic>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">18,171,707</td>
<td valign="middle" align="center">Os11g31190</td>
<td valign="middle" align="center">Os11g0508600</td>
<td valign="middle" align="center">SWEET-type protein</td>
<td valign="middle" align="center">African wild and cultivated rice species <italic>Oryza barthii</italic> and <italic>Oryza glaberrima</italic>
</td>
<td valign="middle" align="center">Recessive</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B63">Hutin et&#xa0;al., 2015</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Xa21</italic>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">21,277,443</td>
<td valign="middle" align="center">Os11g36180</td>
<td valign="middle" align="center">Os11g0569733</td>
<td valign="middle" align="center">LRR receptor kinase-like protein</td>
<td valign="middle" align="center">IRBB21 (<italic>Oryza longistaminata</italic> IL)</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B141">Song et&#xa0;al., 1995</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Xa10</italic>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">22,181,556</td>
<td valign="middle" align="center">Os11g37570</td>
<td valign="middle" align="center">Os11g0586400</td>
<td valign="middle" align="center">Executor R protein</td>
<td valign="middle" align="center">IRBB10, CAS209</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B151">Tian et&#xa0;al., 2014</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Xa23</italic>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">22,204,131</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">Os11g0586701</td>
<td valign="middle" align="center">Executor R protein</td>
<td valign="middle" align="center">CBB23/<italic>Oryza rufipogon</italic>
</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B158">Wang C, et&#xa0;al., 2015</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Xa47(t)</italic>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">27,983,597</td>
<td valign="middle" align="center">Os11g46200</td>
<td valign="middle" align="center">Os11g0688832</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="center">
<italic>O. rufipogon</italic>
</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B164">Xing et&#xa0;al., 2021</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Xa4</italic>
<sup>(b)</sup>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">28,357,055</td>
<td valign="middle" align="center">Os11g47140</td>
<td valign="middle" align="center">Os11g0694100</td>
<td valign="middle" align="center">cell wall-associated kinase (WAK)</td>
<td valign="middle" align="center">IRBB4</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B59">Hu et&#xa0;al., 2017</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Xa3</italic>=<italic>Xa26</italic>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">28,399,360</td>
<td valign="middle" align="center">Os11g47210</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">LRR receptor kinase-like protein</td>
<td valign="middle" align="center">Minghui 63, IRBB3</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B143">Sun et&#xa0;al., 2004</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>xa25</italic>/<italic>OsSWEET13</italic>/<italic>OsMtN3</italic>
</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">17,302,127</td>
<td valign="middle" align="center">Os12g29220</td>
<td valign="middle" align="center">Os12g0476200</td>
<td valign="middle" align="center">SWEET-type protein</td>
<td valign="middle" align="center">Minghui 63</td>
<td valign="middle" align="center">Recessive</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B98">Liu et&#xa0;al., 2011</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>(a)</sup>The sequence of Xa7 is completely absent in the Nipponbare reference genome (IRGSP1.0) and also most of japonica varieties. Thus, the location of the closest marker (M10) to Xa7 by <xref ref-type="bibr" rid="B23">Chen et&#xa0;al. (2021)</xref> is given in the above table.</p>
</fn>
<fn>
<p>
<sup>(b)</sup> The sequence of xa4 gene was not fully aligned in the Nipponbare reference genome (IRGSP1.0). Thus, the information of the highest homology sequence was described above.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Physical locations of the 48 cloned genes conferring biotic stress resistance in rice. The cloned genes were mapped on the rice reference genome (Os-Nipponbare-Reference-IRGSP-1.0). Blue, red, green, and black bars mean brown planthopper (BPH), blast, bacterial blight, and virus resistance genes, respectively. Biotic stress resistance gene-rich region was highlighted by yellow background (out of 48 genes, 14 genes were on the 10.41-Mb region of the long arm of Chr 11).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1247014-g001.tif"/>
</fig>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>Bacterial leaf streak (pathogen: <italic>X. oryzae</italic> pv. <italic>oryzicola</italic> (<italic>Xoc</italic>))</title>
<p>For BLS resistance, a handful of QTLs with low-to-moderate PVEs (2.64%&#x2013;15.93%) were identified (<xref ref-type="bibr" rid="B147">Tang et&#xa0;al., 2000</xref>). In addition, a recent GWAS using 510 diverse rice accessions identified 79 quantitative trait nucleotides (QTNs) reflecting 69 QTLs for BLS resistance (<xref ref-type="bibr" rid="B163">Xie et&#xa0;al., 2021</xref>). However, no BLS resistance gene has been cloned yet. Among the BLS-resistant QTLs, the highest effect QTL, <italic>qBlsr5a</italic> (12.84%&#x2013;15.93% PVE), was fine-mapped to 30.0-kb interval on Chr 5, and the resistant parent allele of <italic>Os05g01710</italic> gene within the fine-mapped region was identical to <italic>xa5</italic>, which is one of major BB resistance genes, suggesting that <italic>Os05g01710</italic> (<italic>xa5</italic>) is possibly the candidate gene of <italic>qBlsr5a</italic> (<xref ref-type="bibr" rid="B161">Xie et&#xa0;al., 2014</xref>).</p>
</sec>
<sec id="s5_3">
<label>5.3</label>
<title>Bacterial sheath brown rot also called rice sheath rot (pathogen: <italic>P. fuscovaginae</italic>)</title>
<p>&#x201c;Rice sheath rot&#x201d; disease symptoms can be caused by the bacterial pathogen &#x201c;<italic>P. fuscovaginae</italic>&#x201d; and also by the fungal pathogen &#x201c;<italic>S. oryzae</italic>&#x201d;. A recent pathobiomes study revealed that <italic>P. fuscovaginae</italic> and <italic>S. oryzae</italic> were prevalent in symptomatic rice samples in highland and lowland, respectively, in Burundi, indicating that the pathogens exist independently and are not part of a complex disease (<xref ref-type="bibr" rid="B109">Musonerimana et&#xa0;al., 2020</xref>). However, no reliable resistant germplasm and genetic factors have been identified yet.</p>
</sec>
<sec id="s5_4">
<label>5.4</label>
<title>Bacterial panicle blight, bacterial seedling rot, and bacterial grain rot (pathogen: <italic>B. glumae</italic>)</title>
<p>Bacterial panicle blight (BPB), BSR, and BGR are caused by the same bacterial pathogen, <italic>B. glumae</italic>. It was first reported as BGR in Japan in 1955. Since then, BPB has been found in more than 18 countries globally including Asia, Africa, and North and South America (<xref ref-type="bibr" rid="B177">Zhou, 2019</xref>; <xref ref-type="bibr" rid="B118">Ortega and Rojas, 2021</xref>). Although it is an emerging disease globally, only several cultivars with partial resistance and 12 QTLs associated with partial resistance have been reported (<xref ref-type="bibr" rid="B177">Zhou, 2019</xref>). Regarding BSR resistance, one QTL (<italic>RBG1</italic>/<italic>qRBS1</italic>) was identified from the CSSL population (Nona Bokra introgressions in Koshihikari background) (<xref ref-type="bibr" rid="B107">Mizobuchi et&#xa0;al., 2016</xref>). For BGR resistance, 13 QTLs have been found from the two mapping populations: a BIL from Kele (R) &#xd7; Hitomebore (S) and a RIL from TeQing (R) &#xd7; Lemont (S) (<xref ref-type="bibr" rid="B107">Mizobuchi et&#xa0;al., 2016</xref>).</p>
</sec>
</sec>
<sec id="s6">
<label>6</label>
<title>Viral diseases and available genetic resources</title>
<p>Seventeen rice viruses have been reported, including rice black-streaked dwarf virus (RBSDV), rice bunchy stunt virus (RBSV), rice dwarf virus (RDV), rice gall dwarf virus (RGDV), rice giallume virus (RGV), RGSV, rice hoja blanca virus (RHBV), rice necrosis mosaic virus (RNMV), RRSV, rice stripe necrosis virus (RSNV), rice stripe virus (RSV), rice transitory yellowing virus (RTYV) also named as rice yellow stunt virus (RYSV), rice tungro bacilliform virus (RTBV), rice tungro spherical virus (RTSV), RYMV, southern rice black-streaked dwarf virus (SRBSDV), and rice stripe mosaic virus (RSMV) (<xref ref-type="bibr" rid="B54">Hibino, 1996</xref>; <xref ref-type="bibr" rid="B127">Qin et&#xa0;al., 2019</xref>). Since most of the above viruses are arthropod-borne, damages may become more severe as the population of vector insects increases. Among the rice virus diseases, rice tungro disease (RTSV and RTBV), RYMV, and RSV have been causing serious yield loss in South/Southeast Asia, Africa, and temperate Asia, respectively. Thus, a few genes providing resistance to the major viruses above have been cloned. The use of viral disease resistance may significantly reduce the damage of viral diseases. In addition to this, the management of corresponding vector insects may mitigate the damage of viral diseases in the field.</p>
<sec id="s6_1">
<label>6.1</label>
<title>Rice tungro disease caused by RTSV and RTBV</title>
<p>Rice tungro disease is a serious threat to rice production in South and Southeast Asia. Tungro disease viruses are transmitted from tungro-infected plant to another by leafhoppers. The most efficient vector is the green leafhopper (IRRI Rice Knowledge Bank). Tungro was found to be associated with two distinct viruses: RTSV and RTBV. A series of large-scale outbreaks of tungro were recorded in India, Thailand, Indonesia, Malaysia, the Philippines, Thailand, China, and Bangladesh. Tungro, as one of the destructive diseases of rice, causes yield losses of 5% to 10% annually and is estimated to cause an annual loss in rice production of approximately 1.5 billion US dollars worldwide (<xref ref-type="bibr" rid="B29">Dai and Beachy, 2009</xref>). In the late 1990s, several tungro-resistant sources, including landrace and wild species, were isolated and used in the breeding program by IRRI, and the most promising breeding lines were developed by crossing with Utri Merah donor (<xref ref-type="bibr" rid="B8">Azzam and Chancellor, 2002</xref>). Afterward, <xref ref-type="bibr" rid="B38">Encabo et&#xa0;al. (2009)</xref> revealed that RTBV and RTSV are inherited separately from rice accession Utri Merah, conferring resistance to both RTBV and RTSV, and <xref ref-type="bibr" rid="B87">Lee et&#xa0;al. (2010)</xref> cloned the causal recessive gene (named as <italic>tsv1</italic>) involved in RTSV resistance in Utri Merah. <italic>TSV1</italic> encodes eukaryotic translation initiation factor 4G (eIF4G), and mutation on the protein-coding sequence of <italic>TSV1</italic> in Utri Merah (<italic>tsv1</italic> allele) may impair the RTSV RNA translation, resulting in tungro resistance. The <italic>tsv1</italic>-Utri Merah allele is widely used for tungro resistance improvement in many breeding programs.</p>
</sec>
<sec id="s6_2">
<label>6.2</label>
<title>Rice yellow mottle virus</title>
<p>Since RYMV was first discovered in Kenya in 1970, it has been reported from only the countries in the African continent. RYMV causes the most serious damage in Africa among all the rice diseases. Primary infection of RYMV in rice fields is mediated by beetle family chrysomelids, and secondary spread occurs mainly through mechanical contact between infected and healthy leaves by wind (<xref ref-type="bibr" rid="B83">Kouassi et&#xa0;al., 2005</xref>). In the past, farmers have been advised to use chemicals to eliminate beetle vectors. The most effective and sustainable way to manage RYMV is to use tolerant and resistant varieties (<xref ref-type="bibr" rid="B1">Abo et&#xa0;al., 1997</xref>).</p>
<p>High RYMV resistance was found in one African rice cultivar (<italic>Oryza glaberrima</italic>), Tog5681, and one <italic>O. sativa</italic> cultivar, Gigante. Evaluation of the crosses of these two highly RYMV-resistant cultivars suggests the presence of a single recessive gene (<xref ref-type="bibr" rid="B112">Ndjiondjop et&#xa0;al., 1999</xref>). Later, it was discovered that the gene is <italic>RYMV1</italic>, and the gene encodes a eukaryotic translation initiation factor, eIF4(iso)4G (<xref ref-type="bibr" rid="B3">Albar et&#xa0;al., 2006</xref>). In sequence comparisons with the dominant susceptible allele (<italic>Rymv1-1</italic>), four different recessive resistant alleles from one <italic>O. sativa</italic> var. Gigante (<italic>rymv1-2</italic>) and three <italic>O. glaberrima</italic> accessions (Tog5681 (<italic>rymv1-3</italic>), Tog5672 (<italic>rymv1-4</italic>), and Tog5674 (<italic>rymv1-5</italic>)) were characterized by the presence of short amino acid substitutions or short deletions in the MIF4G domain of the protein (<xref ref-type="bibr" rid="B3">Albar et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B150">Thi&#xe9;m&#xe9;l&#xe9; et&#xa0;al., 2010</xref>). Allele-specific markers targeting mutations or deletions characterizing different <italic>RYMV1</italic> were developed for improving MAS for the introduction of the resistance alleles into susceptible cultivars of <italic>O. sativa</italic> or <italic>O. glaberrima</italic> (<xref ref-type="bibr" rid="B150">Thi&#xe9;m&#xe9;l&#xe9; et&#xa0;al., 2010</xref>). In the second major recessive resistance gene, <italic>RYMV2</italic>, it was identified that 1-bp deletion on the coding sequence of the rice homolog of the <italic>Arabidopsis CPR5</italic> gene, known to be a defense mechanism regulator, from the resistant African rice (<italic>O. glaberrima</italic>) Tog7291 provided RYMV resistance (<xref ref-type="bibr" rid="B117">Orjuela et&#xa0;al., 2013</xref>). A single dominant resistant gene <italic>RYMV3</italic> encoding NBS-LRR protein was identified from the <italic>O. glaberrima</italic> Tog5307 (<xref ref-type="bibr" rid="B124">Pidon et&#xa0;al., 2017</xref>). Novel resistant alleles and accessions for <italic>RYMV2</italic> and <italic>RYMV3</italic> were identified by screening 268 <italic>O. glaberrima</italic> accessions and sequencing (<xref ref-type="bibr" rid="B123">Pidon et&#xa0;al., 2020</xref>), and five new resistant germplasm were isolated from Korean rice lines (<xref ref-type="bibr" rid="B5">Asante et&#xa0;al., 2020</xref>). The cloned genes with different resistant alleles will be useful to improve RYMV resistance, especially for the breeding program for the African continent.</p>
</sec>
<sec id="s6_3">
<label>6.3</label>
<title>Rice stripe virus</title>
<p>RSV is an RNA-type virus belonging to the genus <italic>Tenuivirus</italic>, and it is transmitted by SBPHs. RSV has been reported only in China, Japan, Korea, and Taiwan, where <italic>japonica</italic> rice is cultivated, and it caused severe damage to the rice fields in Eastern China, Japan, and Korea. While most <italic>indica</italic> varieties are resistant to RSV, the majority of <italic>japonica</italic> varieties are highly susceptible. A number of RSV-resistant QTLs have been reported from diverse <italic>indica</italic>-resistant donors, and the major QTLs were repeatedly detected on Chr 11 among several QTL mapping (<xref ref-type="bibr" rid="B27">Cho et&#xa0;al., 2013</xref>). Finally, the major QTL, <italic>qSTV11</italic>, originated from an <italic>indica</italic> variety Kasalath and was cloned (<xref ref-type="bibr" rid="B156">Wang et&#xa0;al., 2014</xref>). <italic>STV11</italic>-Kasalath allele encodes a sulfotransferase (OsSOT1) protein catalyzing the conversion of salicylic acid (SA) into sulfonated SA (SSA), whereas the protein encoded by the susceptible allele <italic>STV11</italic> loses this activity. <italic>STV11</italic> gene will be useful in improving RSV resistance in the <italic>japonica</italic> varieties.</p>
</sec>
</sec>
<sec id="s7">
<label>7</label>
<title>Physical locations of the cloned genes/alleles on rice chromosomes</title>
<p>Graphical mapping of the cloned genes on 12 rice chromosomes will be useful information for MAS breeding, especially for gene pyramiding, as well as mapping new biotic stress resistance genes. We mapped the physical locations of all the cloned 48 biotic stress resistance genes on the 12 rice chromosomes (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The cloned genes were not evenly distributed across the rice genome. No biotic stress resistance gene was cloned yet on Chr 10. In contrast, Chr 11 possesses the highest number of genes (15 genes), following Chr 6 (eight genes), Chr 4 (seven genes), and Chr 12 (four genes), with these four chromosomes harboring 34 genes out of 48 cloned genes (70.83%). Interestingly, 14 cloned genes associated with blast, bacterial blight, and virus resistance were on the 10.41-Mb region of the long arm of Chr 11 (Chr 11: 17.98&#x2013;28.39 Mb), and it took 29.16% of the cloned genes. Biotic stress resistance genes are ~10 times more enriched in this specific region than any other loci (the expected distribution is ~1.2 cloned gene/10 Mb). Another interesting point is that the bacterial blight resistance gene <italic>Xa47(t)</italic> (<italic>Os11g46200</italic>) encoding NBS-LRR is overlapped with the blast resistance gene <italic>Pik</italic>/<italic>Pik-m</italic>/<italic>Pik-p</italic>/<italic>Pi1</italic>/<italic>Pi7</italic> consisting of two NBS-LRR genes (<italic>Os11g46200</italic> and <italic>Os11g46210</italic>). In some loci, different resistance alleles at the same locus, such as <italic>BPH1</italic> locus, <italic>Pi9</italic> locus, <italic>Pik</italic> locus, and <italic>Xa1</italic> locus, were identified (<xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>&#x2013;<xref ref-type="table" rid="T3">
<bold>3</bold>
</xref>). Although some of them among the alleles showed different reactions to pathotypes, unfortunately, they cannot be pyramided by MAS due to the same physical location among the alleles. Thus, breeders need to choose one suitable allele among the alleles based on the regional pathotypes/isolates. Similarly, in gene pyramiding/stacking, breeders should also consider the physical distance between/among the target genes. If the two target genes are closely located with each other (&lt;~1Mb) on the same chromosome (for example, <italic>Xa10</italic> and <italic>Pb1</italic> on Chr 11, <italic>Pik</italic> and <italic>Xa4</italic> on Chr 11, and <italic>Pita</italic> and <italic>Ptr</italic>=<italic>Pita2</italic> on Chr 12; see <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>), breeders need to produce many progenies to obtain the gene pyramided plants through the selection of the recombinant plants between the two target loci. In rice, a handful of recombination hot and cold regions are reported, and the average recombination frequency is approximately 4.35 cM per Mb (<xref ref-type="bibr" rid="B139">Si et&#xa0;al., 2015</xref>). In addition, breeders also need to check the target loci whether the important genes governing other agronomic traits are present near the target biotic stress resistance gene to avoid linkage drag. For instance, a key amylose synthesis gene <italic>Waxy</italic>/<italic>GBSS1</italic> (1.76-Mb location on Chr 6) is tightly linked with <italic>BPH32</italic> (1.22 Mb on Chr 6), and a major heading date gene <italic>Hd1</italic> (9.33 Mb on Chr 6) is closely located with <italic>Pi2</italic> gene (10.38 Mb on Chr 6). Thus, breeders should consider the locations of the important agronomic traits genes near the target genes, especially when the breeders try to retain the original characteristics of the elite background variety, except for the target biotic stress resistance. A map of the physical locations of the cloned genes (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) will be helpful for consideration of the above points in MAS breeding programs.</p>
</sec>
<sec id="s8">
<label>8</label>
<title>Available DNA markers for MAS breeding</title>
<p>DNA markers are essential tools for genetic analysis as well as marker-assisted breeding. We tried to collect all the markers published and used in the previous breeding programs, and we collected ~500 markers in total for the cloned biotic stress resistance genes (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>). We filed essential information on the markers for the potential users, including marker types (InDel, CAPS/dCAPS, dominant markers, and tetra-primer method markers) and primer sequences. Also, we cited the original references of each marker so that breeders can obtain detailed and additional information if needed. Furthermore, we mapped the location of all the markers in the rice reference genome sequence (Os-Nipponbare-Reference-IRGSP-1.0: <ext-link ext-link-type="uri" xlink:href="https://rapdb.dna.affrc.go.jp/">https://rapdb.dna.affrc.go.jp/</ext-link>). This information provides physical distance between the target gene and the markers, and it will be helpful to reduce the selection of false positives during MAS. For examples, some markers for the <italic>BPH1</italic>, <italic>BP17</italic>, <italic>xa13</italic>, <italic>Xa27</italic>, <italic>Pi9</italic>, <italic>Piz-t</italic>, <italic>Pizh</italic>, <italic>Pish</italic>, <italic>Pi5</italic>, <italic>Pita2</italic>, and <italic>RYMV1</italic> genes/alleles are a bit far (&gt;1 Mb) from the gene locus (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>). Selection of genic or gene-tightly linked markers would reduce false-positive selection. In cases of multi-alleles for the same gene, such as <italic>BPH1</italic> and <italic>Pi9</italic>, all the available markers for the same gene can be tested to check the possibility of polymorphism between the parents, and the selected polymorphic markers can be used in MAS breeding (for example, <italic>BPH18</italic> markers for <italic>BPH26</italic> MAS breeding). All the information on the markers is described in <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>.</p>
</sec>
<sec id="s9" sec-type="conclusions">
<label>9</label>
<title>Conclusions and perspective</title>
<p>In this review, we summarized all the cloned genes associated with biotic stress resistance (<xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>&#x2013;<xref ref-type="table" rid="T4">
<bold>4</bold>
</xref>), mapped the physical location of the genes on 12 rice chromosomes (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>), and consolidated the available markers associated with the cloned genes (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>). Furthermore, we also briefly introduced genetic resources such as QTLs and donor sources for some biotic stress if the cloned genes are not available yet. The information presented in this review will be helpful for checking the available genetic resources for biotic stress resistance and also for MAS breeding for the genetic improvement of biotic stress resistance in rice. As shown in many previous reports, pyramiding of QTLs/genes might be a practical solution to breed durable and broad-spectrum resistant varieties.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>The cloned virus resistance genes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Gene</th>
<th valign="middle" align="center">Chr</th>
<th valign="middle" align="center">Location<break/>(bp)</th>
<th valign="middle" align="center">MSU_ID</th>
<th valign="middle" align="center">RAPDB_ID</th>
<th valign="middle" align="center">Encoding protein</th>
<th valign="middle" align="center">Resistant/donor allele</th>
<th valign="middle" align="center">Inheritance pattern of R-allele</th>
<th valign="middle" align="center">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<italic>tsv1</italic>
</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">22,114,961</td>
<td valign="middle" align="center">Os07g36940</td>
<td valign="middle" align="center">Os07g0555200</td>
<td valign="middle" align="center">Eukaryotic translation initiation factor 4G (eIF4G)</td>
<td valign="middle" align="left">Utri Merah (UM82)</td>
<td valign="middle" align="center">Recessive</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B87">Lee et&#xa0;al., 2010</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>RYMV1</italic>
</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">24,946,171</td>
<td valign="middle" align="center">Os04g42140</td>
<td valign="middle" align="center">Os04g0499300</td>
<td valign="middle" align="center">Eukaryotic translation initiation factor isoform 4G-1 (eIF(iso)4G1)</td>
<td valign="middle" align="left">
<italic>Oryza sativa</italic> Gigante (<italic>rymv1-2</italic>)/<italic>Oryza glaberrima</italic> accessions Tog5681, Tog5672, and Tog5674 for <italic>rymv1-3</italic>, <italic>rymv-4</italic>, and <italic>rymv-5</italic>, respectively</td>
<td valign="middle" align="center">Recessive</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B3">Albar et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B150">Thi&#xe9;m&#xe9;l&#xe9; et&#xa0;al., 2010</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>RYMV2</italic>
</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">40,073,727</td>
<td valign="middle" align="center">Os01g68970</td>
<td valign="middle" align="center">Os01g0918500</td>
<td valign="middle" align="center">Constitutive expresser of PR genes5 (CPR5)</td>
<td valign="middle" align="left">
<italic>O. glaberrima</italic> Tog7291</td>
<td valign="middle" align="center">Recessive</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B117">Orjuela et&#xa0;al., 2013</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>RYMV3</italic>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">26,380,866</td>
<td valign="middle" align="center">Os11g43700</td>
<td valign="middle" align="center">Os11g0657900</td>
<td valign="middle" align="center">NBS-LRR</td>
<td valign="middle" align="left">
<italic>O. glaberrima</italic> Tog5307</td>
<td valign="middle" align="center">Dominant</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B124">Pidon et&#xa0;al., 2017</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>STV11</italic>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">17,985,011</td>
<td valign="middle" align="center">Os11g30910</td>
<td valign="middle" align="center">Os11g0505300</td>
<td valign="middle" align="center">Sulfotransferase (OsSOT1)</td>
<td valign="middle" align="left">Kasalath</td>
<td valign="middle" align="center">ND</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B156">Wang et&#xa0;al., 2014</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ND, not determined.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Approximately 48 genes, which are natural alleles and provide biotic stress resistance, have been cloned only for the major biotic stresses, including BPH, blast, BB, and some viruses. However, no genes have been cloned yet for other biotic stresses. Preparation of the reliable genetic factors (genes/QTLs) associated with currently problematic and emerging pathogens is very important for stable high-yield rice production, and thus, scientists/geneticists need to put much effort into this pending issue. Screening wild relatives of rice in the genus <italic>Oryza</italic> will be one of the ideal approaches. Many biotic stress resistance genes were already cloned from wild germplasm (see <xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>&#x2013;<xref ref-type="table" rid="T3">
<bold>3</bold>
</xref>), such as <italic>BPH14</italic> (<italic>O. officinalis</italic>), <italic>Pi9</italic> (<italic>Oryza minuta</italic>), and <italic>Xa21</italic> (<italic>O. longistaminata</italic>). More than 4,500 accessions of wild rice species are stored in the IRRI Genebank (<xref ref-type="bibr" rid="B10">Banaticla-Hilario and Sajise, 2022</xref>), and most of the germplasms were not screened yet. Recently, a genome-wide InDel marker set (475 polymorphic markers) discriminating the alleles between <italic>O. sativa</italic> and the other seven AA-genome <italic>Oryza</italic> species was developed to harness AA-genome wild species (<xref ref-type="bibr" rid="B53">Hechanova et&#xa0;al., 2021</xref>). The genes identified from wild germplasm will be rare alleles due to mostly untapped and unused materials in breeding, and thus, they will be effective in most <italic>indica</italic> and <italic>japonica</italic> backgrounds.</p>
<p>The incidence of pathogens and insect pests will change in time and space; notably, it will be also influenced by climate changes. As examples, some BPH resistance genes were affected by artificial climate change conditions (the atmospheric temperature with corresponding carbon dioxide at the ambient, year 2050 and year 2100) (<xref ref-type="bibr" rid="B84">Kuang et&#xa0;al., 2021</xref>) and also by nitrogen fertilizer treatments (<xref ref-type="bibr" rid="B93">Lin et&#xa0;al., 2022</xref>). Moreover, most of the genes/QTLs reported were tested with limited numbers of isolates/biotypes, which were collected in specific locations and years. Thus, the identified genes/QTLs could not guarantee resistance across locations, time, and environments. Testing donor germplasm, especially sets of NILs possessing specific genes/QTLs such as NILs for BPH (<xref ref-type="bibr" rid="B70">Jena et&#xa0;al., 2017</xref>), blast (<xref ref-type="bibr" rid="B148">Telebanco-Yanoria et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B149">Telebanco-Yanoria et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B45">Fukuta et&#xa0;al., 2022</xref>), and BB (<xref ref-type="bibr" rid="B114">Ogawa et&#xa0;al., 1991</xref>; IRBB lines), with prevalence races/biotypes in the target regions, would be a good strategy to select effective genes/alleles in breeding program.</p>
<p>DNA markers are essential tools for genetic analysis and breeding. DNA markers could reduce the time and effort in developing and improving biotic-resistant cultivars through marker-assisted breeding. Due to the accessibility and technical simplicity for the rice breeders, most of the markers are PCR and gel-based markers, including SSR (RM) markers, InDel markers, CAPS markers, tetra-primer PCR markers, and dominant PCR markers (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>). These markers have contributed much to MAS breeding. However, the gene/allele-specific markers are limited to some specific genes, and a high portion of the markers are the gene-linked makers (sometimes more than a few Mb distance from the gene), probably causing that false-positive selection in MAS breeding. Thus, breeders should check the marker&#x2013;gene linkage (distance between the gene and markers) and also marker quality (reproducibility and polymorphism between parents) before starting MAS breeding. For efficient and precious introgression of the target genes, currently, available markers might be insufficient. Developments of breeder-friendly allele-specific markers and enough number of polymorphic markers with high reproducibility for many biotic stress resistance genes/alleles are urgently needed. This will help the rapid deployment of target biotic stress resistance genes in the elite local varieties.</p>
<p>In addition to MAS breeding, CRISPR-based genome editing technologies might be an alternative solution for the fast improvement of biotic stress resistance. The advantage of genome editing is that the techniques can directly improve target traits in elite backgrounds without crossing with the donor lines. Thus, some unexpected phenotypes caused by linkage drag or other donor introgressions happening during MAS breeding will not be considered in genome editing-based trait improvement. Recently, its potential was already shown in BB resistance improvement by CRISPR-based promoter editing of three <italic>SWEET</italic> genes in rice (<xref ref-type="bibr" rid="B116">Oliva et&#xa0;al., 2019</xref>) and in tungro virus resistance by editing of <italic>TSV1</italic> gene (<xref ref-type="bibr" rid="B102">Macovei et&#xa0;al., 2018</xref>). Another advantage is that genome-edited products are regulated with lesser stringency in many countries compared to conventional genetically modified organisms (GMOs). Together with cross-based breeding, genome editing technologies can contribute fast genetic improvement of target traits in the elite variety backgrounds without linkage drag and other donor introgressions.</p>
</sec>
<sec id="s10" sec-type="author-contributions">
<title>Author contributions</title>
<p>JH, C-PL, AT, E-KA, JJ, I-RC, RS, KJ, and S-RK conceived this review paper. ES, SH, I-RC, and S-RK performed the literature search and wrote the draft. The manuscript was improved by revisions by all the authors. All authors agreed to the published version of the manuscript.</p>
</sec>
</body>
<back>
<sec id="s11" sec-type="funding-information">
<title>Funding</title>
<p>The preparation and publication of this review paper were supported by the Temperate Rice Research Consortium (TRRC) project and the bilateral projects for biotic stress resistance improvement in rice between the Gene Identification and Validation (GIV) group of the International Rice Research Institute (IRRI), Philippines, and the national agricultural research and extension systems (NARES) including Taiwan Agricultural Research Institute (TARI, Taiwan), General Directorate of Agricultural Research and Policies (GDAR, Turkey), Rural Development Administration (RDA, Korea), Rice Department (RD, Thailand), and Indian Council of Agricultural Research (ICAR, India).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We are thankful to Dr. Van Schepler Luu and Dr. Gilda Jonson from the IRRI pathology group for the careful editing of the manuscript.</p>
</ack>
<sec id="s12" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s13" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s14" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2023.1247014/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2023.1247014/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
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